Nothing
tests/testthat/_snaps/genNLR.md
In difNLR: DIF and DDF Detection by Non-Linear Regression Models
genNLR - examples at help page
Code
genNLR(N = 300, a = a, b = b, c = c, d = d)
Output
Item1 Item2 Item3 Item4 Item5 group
1 0 1 0 0 1 0
2 1 1 0 1 1 0
3 1 0 0 0 1 0
4 0 0 0 0 0 0
5 0 0 1 1 1 0
6 0 0 0 0 0 0
7 1 1 1 1 1 0
8 0 1 0 1 1 0
9 0 0 0 0 0 0
10 1 1 0 0 1 0
11 1 1 1 0 0 0
12 1 1 0 0 0 0
13 0 0 1 1 1 0
14 0 1 1 1 1 0
15 1 1 1 1 1 0
16 1 0 0 1 1 0
17 1 1 1 1 0 0
18 0 1 0 0 1 0
19 0 1 1 0 1 0
20 0 1 0 1 0 0
21 1 0 0 1 1 0
22 1 1 0 0 1 0
23 0 0 0 1 1 0
24 0 1 1 1 0 0
25 0 1 0 1 1 0
26 0 0 0 0 1 0
27 1 0 0 0 1 0
28 0 0 1 1 0 0
29 1 1 1 1 1 0
30 0 1 1 1 1 0
31 0 0 0 1 1 0
32 0 1 1 1 0 0
33 0 0 0 1 1 0
34 1 1 1 1 1 0
35 0 1 1 0 1 0
36 0 1 1 1 0 0
37 1 1 0 0 0 0
38 0 1 0 1 1 0
39 0 1 0 1 0 0
40 0 1 0 1 1 0
41 1 1 0 0 0 0
42 0 1 1 0 1 0
43 1 0 0 0 1 0
44 1 0 0 0 1 0
45 1 1 0 1 1 0
46 0 0 0 0 1 0
47 0 1 1 1 1 0
48 0 1 0 1 1 0
49 0 1 1 1 1 0
50 1 1 1 1 1 0
51 0 0 1 1 1 0
52 0 0 0 1 1 0
53 0 1 1 1 1 0
54 0 0 1 0 0 0
55 0 0 0 0 0 0
56 1 1 1 1 1 0
57 0 0 1 1 1 0
58 0 0 0 0 0 0
59 0 0 1 0 1 0
60 0 1 0 0 1 0
61 1 1 0 0 1 0
62 0 1 0 1 1 0
63 0 1 0 0 1 0
64 1 0 0 0 0 0
65 0 0 1 1 1 0
66 0 1 1 1 1 0
67 1 1 1 0 1 0
68 0 1 0 1 1 0
69 0 1 1 1 1 0
70 0 1 1 1 1 0
71 1 1 1 1 1 0
72 0 1 1 0 1 0
73 0 1 1 1 1 0
74 0 0 0 1 1 0
75 1 1 0 0 1 0
76 0 1 0 0 1 0
77 1 1 1 1 1 0
78 1 1 1 1 1 0
79 1 1 0 0 0 0
80 0 0 0 0 1 0
81 0 0 1 0 0 0
82 1 0 0 1 1 0
83 1 0 1 0 0 0
84 1 1 0 1 1 0
85 0 1 1 0 1 0
86 1 1 0 1 1 0
87 1 0 0 0 1 0
88 0 0 0 0 0 0
89 1 1 0 1 1 0
90 0 1 0 0 0 0
91 0 0 0 1 1 0
92 1 1 1 1 1 0
93 0 0 0 0 0 0
94 1 1 0 1 1 0
95 0 1 1 0 1 0
96 0 1 0 0 1 0
97 1 1 1 1 1 0
98 1 0 1 0 0 0
99 0 0 1 0 1 0
100 0 0 0 1 0 0
101 1 0 0 1 1 0
102 0 1 0 1 1 0
103 0 0 0 1 1 0
104 0 1 0 1 1 0
105 1 1 1 1 1 0
106 0 0 1 1 0 0
107 1 1 0 0 1 0
108 0 1 1 0 1 0
109 0 1 0 0 0 0
110 1 0 0 0 1 0
111 1 1 1 1 1 0
112 0 0 0 0 1 0
113 0 0 0 1 1 0
114 0 1 0 0 1 0
115 0 0 0 0 0 0
116 0 1 1 1 1 0
117 0 0 0 0 1 0
118 1 1 0 0 1 0
119 1 1 1 1 1 0
120 0 0 0 1 1 0
121 0 1 0 0 0 0
122 0 1 0 0 1 0
123 0 0 1 0 0 0
124 0 0 0 0 1 0
125 0 0 0 1 0 0
126 0 1 0 0 1 0
127 0 0 0 1 1 0
128 0 1 0 1 1 0
129 0 0 1 1 0 0
130 0 0 0 0 1 0
131 1 1 1 1 1 0
132 1 1 1 1 0 0
133 1 0 0 1 1 0
134 1 1 0 1 1 0
135 0 0 1 0 0 0
136 0 0 1 1 1 0
137 0 1 1 1 1 0
138 0 1 1 1 1 0
139 1 1 1 1 0 0
140 1 1 0 0 1 0
141 0 1 1 1 1 0
142 1 0 0 0 1 0
143 0 0 1 1 1 0
144 1 1 1 1 1 0
145 1 1 1 0 1 0
146 0 1 0 1 1 0
147 0 1 1 1 1 0
148 0 0 1 0 1 0
149 0 0 1 0 1 0
150 1 1 0 0 1 0
151 1 0 0 1 0 1
152 0 1 1 1 0 1
153 0 1 1 1 0 1
154 1 1 1 0 1 1
155 1 0 1 1 0 1
156 0 0 0 1 0 1
157 0 0 1 0 0 1
158 0 1 1 1 0 1
159 0 1 1 1 0 1
160 0 1 1 1 0 1
161 0 0 1 1 0 1
162 0 1 1 1 0 1
163 0 1 1 1 0 1
164 0 0 1 1 0 1
165 0 0 1 0 0 1
166 1 1 1 0 0 1
167 0 1 1 1 0 1
168 0 0 0 1 0 1
169 1 0 1 0 0 1
170 0 1 0 0 0 1
171 0 1 1 1 0 1
172 0 0 0 1 0 1
173 0 1 1 1 0 1
174 1 1 1 1 0 1
175 1 0 1 0 1 1
176 1 1 1 0 0 1
177 0 1 1 1 0 1
178 0 1 1 0 0 1
179 0 1 1 1 0 1
180 0 1 1 0 0 1
181 0 1 0 1 0 1
182 0 1 1 1 0 1
183 0 1 1 1 1 1
184 1 1 0 1 0 1
185 1 1 1 1 0 1
186 0 1 1 0 0 1
187 0 0 1 0 0 1
188 0 1 0 1 0 1
189 1 1 0 1 0 1
190 1 1 1 1 0 1
191 0 1 0 0 0 1
192 1 1 1 1 0 1
193 0 1 1 1 0 1
194 0 1 0 0 0 1
195 0 0 1 1 0 1
196 0 1 1 1 1 1
197 0 1 1 1 0 1
198 0 1 0 1 1 1
199 0 1 1 1 1 1
200 0 0 1 1 0 1
201 1 0 1 1 0 1
202 1 1 1 0 0 1
203 1 1 1 1 0 1
204 0 0 1 1 0 1
205 0 1 1 1 0 1
206 0 1 1 1 1 1
207 1 1 1 1 0 1
208 0 1 1 1 0 1
209 0 1 1 0 0 1
210 0 1 1 0 0 1
211 1 1 1 0 1 1
212 1 1 1 0 0 1
213 1 1 1 0 1 1
214 0 0 1 1 0 1
215 0 1 1 0 0 1
216 0 0 0 0 0 1
217 1 1 1 0 0 1
218 0 1 1 1 0 1
219 0 1 0 1 0 1
220 1 1 1 1 0 1
221 0 1 0 1 0 1
222 0 1 1 1 0 1
223 0 1 1 1 0 1
224 0 1 1 0 0 1
225 0 1 1 1 0 1
226 1 1 0 0 0 1
227 0 1 0 0 0 1
228 0 0 1 0 0 1
229 0 1 1 1 0 1
230 0 0 1 0 1 1
231 0 1 1 0 0 1
232 0 1 1 0 0 1
233 1 1 1 1 0 1
234 0 0 1 1 0 1
235 0 1 1 1 1 1
236 0 1 1 1 0 1
237 0 1 1 1 0 1
238 1 1 0 1 0 1
239 1 1 0 0 1 1
240 0 1 0 0 0 1
241 0 1 1 1 0 1
242 1 1 1 1 0 1
243 1 1 0 0 0 1
244 0 1 1 1 0 1
245 0 1 0 1 1 1
246 0 1 1 1 1 1
247 0 1 1 0 0 1
248 0 1 1 0 1 1
249 0 1 1 0 0 1
250 0 1 0 0 0 1
251 0 1 1 1 0 1
252 1 1 1 1 0 1
253 1 1 0 1 0 1
254 0 1 0 1 0 1
255 1 1 1 1 0 1
256 1 1 0 1 0 1
257 0 0 0 1 1 1
258 0 1 1 0 0 1
259 0 0 1 1 0 1
260 1 1 1 1 0 1
261 1 1 0 0 0 1
262 0 1 0 0 0 1
263 1 1 1 1 0 1
264 0 1 1 0 1 1
265 1 1 1 1 0 1
266 0 0 1 1 0 1
267 1 1 1 0 0 1
268 0 1 1 1 0 1
269 1 0 1 0 0 1
270 0 1 1 1 0 1
271 0 1 1 1 0 1
272 0 0 0 1 0 1
273 1 1 0 1 0 1
274 0 1 1 1 0 1
275 1 1 1 1 1 1
276 1 0 1 1 0 1
277 0 1 1 1 1 1
278 0 1 1 0 0 1
279 0 1 1 1 0 1
280 0 0 1 1 1 1
281 1 1 1 1 0 1
282 0 1 1 0 0 1
283 0 1 1 0 0 1
284 1 0 1 1 0 1
285 0 0 1 0 0 1
286 1 1 1 0 0 1
287 0 0 0 0 0 1
288 0 1 1 0 0 1
289 0 1 1 1 0 1
290 0 1 1 1 0 1
291 1 1 1 0 0 1
292 0 1 1 1 0 1
293 0 0 0 1 0 1
294 0 1 1 0 0 1
295 1 1 1 1 0 1
296 0 1 1 1 0 1
297 0 1 1 0 0 1
298 1 1 1 0 0 1
299 0 0 0 0 1 1
300 0 1 1 1 0 1
Code
genNLR(N = 300, a = a, b = b, c = c, d = d, mu = c(1, 0), sigma = c(1, 2))
Output
Item1 Item2 Item3 Item4 Item5 group
1 1 1 1 1 0 0
2 0 1 0 1 1 0
3 0 1 1 0 1 0
4 0 1 0 1 1 0
5 0 1 1 1 1 0
6 1 1 0 0 1 0
7 1 1 1 1 0 0
8 0 1 0 1 0 0
9 0 1 0 1 1 0
10 0 0 0 0 1 0
11 1 1 0 1 0 0
12 1 1 1 1 0 0
13 0 0 0 1 1 0
14 0 0 0 1 1 0
15 1 1 1 0 1 0
16 0 0 0 0 1 0
17 0 1 0 1 1 0
18 0 1 1 1 1 0
19 1 1 0 0 1 0
20 0 1 0 0 1 0
21 1 1 1 1 1 0
22 0 0 0 1 0 0
23 0 1 0 1 0 0
24 1 1 0 0 1 0
25 1 1 0 1 1 0
26 1 1 1 1 1 0
27 0 1 0 1 1 0
28 1 1 1 1 1 0
29 0 1 1 1 0 0
30 0 1 0 0 1 0
31 1 1 1 1 1 0
32 1 1 1 1 0 0
33 0 1 0 1 1 0
34 0 1 1 1 0 0
35 1 1 1 0 0 0
36 1 0 0 1 1 0
37 1 1 0 0 1 0
38 0 1 0 1 0 0
39 0 0 0 0 0 0
40 0 1 1 1 1 0
41 0 0 1 0 1 0
42 0 1 1 1 1 0
43 1 1 1 1 0 0
44 1 1 0 0 1 0
45 0 1 1 1 1 0
46 1 1 1 1 0 0
47 1 0 0 0 1 0
48 0 1 1 0 1 0
49 0 1 1 1 1 0
50 1 0 0 0 1 0
51 0 0 1 1 1 0
52 0 1 0 0 1 0
53 1 1 1 1 1 0
54 0 1 1 1 0 0
55 1 1 0 1 1 0
56 1 1 1 1 1 0
57 0 1 1 1 1 0
58 1 1 0 0 1 0
59 0 1 1 1 1 0
60 1 0 0 0 1 0
61 1 1 1 1 1 0
62 0 0 1 1 0 0
63 1 1 1 0 1 0
64 0 0 0 1 0 0
65 1 1 0 0 1 0
66 0 1 0 0 1 0
67 0 0 1 1 0 0
68 0 1 1 1 1 0
69 1 1 0 1 1 0
70 1 1 1 1 0 0
71 1 1 1 1 1 0
72 0 1 0 1 0 0
73 1 1 1 0 1 0
74 1 1 0 1 1 0
75 1 1 0 1 1 0
76 0 0 1 1 0 0
77 0 1 1 0 0 0
78 0 1 1 0 1 0
79 0 1 1 1 1 0
80 1 1 1 1 1 0
81 0 1 1 0 1 0
82 0 1 0 1 1 0
83 0 1 0 1 1 0
84 1 0 1 0 1 0
85 1 1 1 1 1 0
86 0 1 1 1 1 0
87 1 1 0 1 1 0
88 0 1 1 1 1 0
89 0 1 0 0 1 0
90 0 0 1 1 1 0
91 0 1 1 1 0 0
92 0 1 1 1 1 0
93 1 1 1 1 1 0
94 1 1 0 1 1 0
95 0 1 0 1 1 0
96 0 0 0 1 0 0
97 0 1 0 0 1 0
98 1 1 0 1 1 0
99 1 1 0 1 1 0
100 0 1 1 1 1 0
101 1 1 1 0 1 0
102 1 1 1 1 1 0
103 1 1 0 0 0 0
104 1 1 1 1 1 0
105 1 1 1 1 0 0
106 0 1 1 1 1 0
107 1 1 0 1 1 0
108 0 0 1 1 1 0
109 0 0 0 1 1 0
110 0 1 0 1 0 0
111 1 1 1 0 1 0
112 0 0 0 1 1 0
113 0 1 1 0 1 0
114 0 1 1 1 1 0
115 0 1 1 1 1 0
116 1 1 1 1 1 0
117 0 1 0 0 0 0
118 1 1 0 1 1 0
119 1 1 1 1 1 0
120 0 0 0 0 1 0
121 1 1 0 1 1 0
122 1 1 1 1 1 0
123 1 1 1 1 1 0
124 0 1 1 0 1 0
125 1 1 1 0 1 0
126 1 1 0 0 1 0
127 0 1 1 1 0 0
128 0 1 1 0 1 0
129 0 1 0 0 1 0
130 1 1 1 1 1 0
131 0 1 1 1 1 0
132 0 1 0 0 1 0
133 1 1 0 1 1 0
134 0 0 1 1 1 0
135 0 1 1 1 0 0
136 0 1 1 1 0 0
137 0 0 0 0 0 0
138 1 1 1 1 0 0
139 0 1 1 1 1 0
140 1 1 0 1 1 0
141 0 1 1 1 1 0
142 1 0 0 1 1 0
143 1 1 1 0 1 0
144 0 1 0 0 0 0
145 0 1 1 0 1 0
146 0 1 1 1 0 0
147 0 0 1 0 1 0
148 0 0 1 0 1 0
149 0 1 1 1 1 0
150 1 1 0 0 1 0
151 0 1 1 1 0 1
152 1 0 0 0 0 1
153 0 0 0 0 0 1
154 0 1 0 1 0 1
155 0 0 1 0 0 1
156 1 1 1 0 1 1
157 0 0 1 0 0 1
158 0 1 1 1 0 1
159 0 1 1 1 0 1
160 0 1 1 1 0 1
161 1 0 1 1 0 1
162 1 1 1 1 1 1
163 1 0 0 1 0 1
164 0 0 0 0 1 1
165 1 1 1 1 0 1
166 0 0 0 0 0 1
167 1 1 1 1 1 1
168 0 0 1 0 0 1
169 1 1 1 1 0 1
170 0 1 1 1 1 1
171 0 0 0 0 0 1
172 1 1 1 1 0 1
173 0 0 1 1 1 1
174 0 1 1 0 0 1
175 1 1 1 0 0 1
176 1 1 1 1 0 1
177 1 0 1 1 0 1
178 1 1 1 1 0 1
179 1 1 1 0 1 1
180 1 1 1 1 1 1
181 1 1 1 0 0 1
182 1 1 1 1 1 1
183 1 1 1 1 0 1
184 0 1 1 1 0 1
185 0 1 1 1 0 1
186 0 1 0 0 0 1
187 0 0 0 0 0 1
188 1 1 1 1 1 1
189 0 1 0 1 0 1
190 1 1 0 1 0 1
191 1 1 1 0 0 1
192 1 1 0 1 0 1
193 0 1 1 0 0 1
194 0 1 1 0 0 1
195 1 1 1 1 0 1
196 1 1 1 0 1 1
197 0 1 0 1 0 1
198 1 1 1 1 1 1
199 0 1 1 0 0 1
200 1 1 1 1 0 1
201 1 1 1 1 1 1
202 1 1 0 1 0 1
203 0 0 1 0 0 1
204 0 0 1 1 0 1
205 0 0 0 1 0 1
206 1 1 0 1 0 1
207 0 0 1 1 0 1
208 0 1 1 1 0 1
209 0 1 1 1 0 1
210 0 1 1 0 0 1
211 0 1 0 1 0 1
212 0 1 1 1 0 1
213 1 1 1 1 0 1
214 0 0 0 0 0 1
215 0 1 0 0 0 1
216 1 1 0 1 0 1
217 0 1 1 0 0 1
218 0 1 0 0 0 1
219 0 0 0 0 0 1
220 0 1 1 1 1 1
221 1 1 1 1 0 1
222 1 1 1 1 1 1
223 1 1 1 0 0 1
224 1 1 1 1 1 1
225 1 1 1 0 0 1
226 0 0 0 1 0 1
227 1 1 1 1 0 1
228 0 0 0 1 0 1
229 0 1 1 0 0 1
230 1 1 1 0 1 1
231 0 0 0 0 0 1
232 0 1 1 1 0 1
233 0 1 1 0 0 1
234 0 1 0 1 0 1
235 0 1 0 0 0 1
236 0 1 1 1 1 1
237 1 0 0 0 0 1
238 0 1 1 0 0 1
239 1 0 0 0 0 1
240 0 1 1 0 0 1
241 0 1 1 0 0 1
242 0 1 1 0 0 1
243 1 1 1 1 0 1
244 0 1 0 1 0 1
245 0 0 0 1 0 1
246 1 1 1 1 0 1
247 1 1 1 0 0 1
248 0 0 0 0 0 1
249 1 1 1 1 1 1
250 1 1 1 1 0 1
251 0 0 1 1 0 1
252 0 0 0 0 0 1
253 0 1 1 1 1 1
254 1 1 1 1 1 1
255 1 1 1 1 0 1
256 1 1 0 1 0 1
257 0 1 1 1 0 1
258 0 0 0 0 0 1
259 0 1 1 1 0 1
260 0 1 0 0 0 1
261 0 0 1 0 0 1
262 1 1 1 1 0 1
263 0 1 1 1 0 1
264 0 1 1 1 0 1
265 0 0 1 1 0 1
266 0 0 0 0 0 1
267 0 1 0 1 0 1
268 0 0 0 0 0 1
269 1 1 0 0 0 1
270 1 1 1 1 0 1
271 1 1 1 1 0 1
272 1 1 1 1 0 1
273 0 1 1 0 0 1
274 0 1 1 0 0 1
275 0 0 0 0 0 1
276 0 0 1 0 0 1
277 1 1 0 0 0 1
278 0 1 1 1 0 1
279 1 0 1 1 0 1
280 0 1 1 0 0 1
281 0 0 1 1 0 1
282 0 0 0 0 0 1
283 0 0 1 1 0 1
284 1 1 1 1 0 1
285 0 1 1 1 0 1
286 0 1 0 1 1 1
287 1 1 1 0 0 1
288 1 1 0 0 0 1
289 0 0 1 0 0 1
290 1 1 1 0 0 1
291 1 1 1 1 1 1
292 0 1 1 0 0 1
293 1 1 1 1 1 1
294 1 1 1 1 1 1
295 0 1 1 0 0 1
296 0 1 1 0 0 1
297 1 1 1 1 1 1
298 1 1 1 1 0 1
299 0 0 1 1 0 1
300 1 1 1 1 0 1
Code
genNLR(N = 300, ratio = 5, a = a, b = b, c = c, d = d)
Output
Item1 Item2 Item3 Item4 Item5 group
1 0 0 1 1 1 0
2 0 0 0 0 0 0
3 0 1 0 1 1 0
4 0 1 0 1 1 0
5 0 1 1 1 0 0
6 1 1 0 1 1 0
7 0 1 0 0 1 0
8 0 0 0 0 1 0
9 1 1 0 1 1 0
10 0 1 1 1 1 0
11 0 0 1 1 1 0
12 1 0 0 1 1 0
13 0 0 0 1 1 0
14 1 1 0 1 1 0
15 0 1 0 0 0 0
16 0 1 0 1 1 0
17 0 0 0 1 1 0
18 0 0 0 0 1 0
19 1 1 0 1 1 0
20 0 0 0 0 1 0
21 0 0 0 1 1 0
22 1 0 0 1 1 0
23 1 0 1 0 0 0
24 0 0 0 1 0 0
25 0 0 1 0 1 0
26 1 0 0 0 1 0
27 0 1 0 1 1 0
28 0 1 0 1 1 0
29 0 0 1 0 0 0
30 0 1 1 1 1 0
31 1 1 1 1 1 0
32 0 1 1 1 1 0
33 1 1 1 1 1 0
34 1 1 1 1 1 0
35 0 1 1 1 1 0
36 0 1 1 0 1 0
37 0 0 0 1 1 0
38 0 0 0 1 1 0
39 0 0 0 0 1 0
40 0 1 0 1 1 0
41 0 1 0 0 1 0
42 0 1 0 1 0 0
43 1 0 0 0 0 0
44 0 1 1 1 0 0
45 0 0 0 1 1 0
46 0 0 0 1 1 0
47 0 0 1 1 0 0
48 0 0 0 0 1 0
49 1 0 0 1 1 0
50 1 0 1 0 1 0
51 1 0 0 1 1 0
52 0 0 1 0 0 0
53 0 0 0 1 1 0
54 0 0 0 0 0 0
55 0 0 0 0 1 0
56 0 1 0 0 1 0
57 0 1 1 1 1 0
58 0 0 1 1 1 0
59 0 1 1 1 1 0
60 0 0 1 0 1 0
61 1 0 1 1 1 0
62 1 0 0 1 1 0
63 1 1 0 0 0 0
64 1 1 1 1 1 0
65 0 1 1 0 1 0
66 0 0 0 0 1 0
67 0 1 1 0 1 0
68 1 1 1 1 1 0
69 0 0 0 0 1 0
70 0 1 0 0 1 0
71 0 0 0 1 1 0
72 1 0 0 0 1 0
73 1 0 0 1 1 0
74 0 1 1 1 1 0
75 0 1 1 0 0 0
76 0 1 1 1 1 0
77 0 0 1 0 1 0
78 0 1 1 0 1 0
79 0 1 0 1 1 0
80 0 0 1 1 1 0
81 1 1 1 1 1 0
82 0 0 0 0 1 0
83 0 1 0 1 1 0
84 0 1 0 0 1 0
85 0 1 1 1 1 0
86 1 1 1 1 0 0
87 0 1 1 1 1 0
88 0 1 0 0 1 0
89 0 0 0 0 0 0
90 1 1 0 1 1 0
91 0 0 1 1 1 0
92 0 1 0 1 1 0
93 1 1 0 1 0 0
94 0 1 0 1 1 0
95 1 1 0 1 0 0
96 0 1 1 0 0 0
97 1 1 0 1 1 0
98 0 0 0 0 0 0
99 0 1 1 1 1 0
100 1 1 1 1 1 0
101 0 0 0 1 1 0
102 0 1 1 0 1 0
103 0 0 0 0 0 0
104 0 0 0 0 1 0
105 1 1 0 0 1 0
106 0 1 0 0 1 0
107 1 1 0 1 1 0
108 0 0 0 1 1 0
109 0 1 0 0 1 0
110 1 0 0 1 0 0
111 0 0 1 0 0 0
112 0 0 0 0 1 0
113 0 1 0 1 1 0
114 1 1 1 1 0 0
115 0 1 0 1 1 0
116 1 1 1 1 0 0
117 0 1 0 0 1 0
118 0 1 0 1 1 0
119 1 1 0 1 1 0
120 0 0 0 1 1 0
121 1 0 0 1 0 0
122 1 1 1 1 0 0
123 0 1 1 1 1 0
124 0 1 0 0 0 0
125 0 0 1 0 1 0
126 0 0 0 0 1 0
127 0 1 0 1 0 0
128 0 1 0 1 1 0
129 0 0 1 1 1 0
130 0 0 0 0 0 0
131 1 1 1 0 0 0
132 0 1 1 0 1 0
133 1 1 0 0 1 0
134 1 0 0 1 1 0
135 0 1 1 1 1 0
136 1 1 0 1 1 0
137 0 0 1 0 1 0
138 1 1 1 1 1 0
139 0 0 0 0 1 0
140 0 1 1 1 0 0
141 1 1 1 0 1 0
142 0 0 0 0 1 0
143 0 0 0 0 1 0
144 0 1 0 0 1 0
145 0 1 0 1 1 0
146 0 1 1 0 0 0
147 1 1 1 0 1 0
148 0 0 0 0 1 0
149 0 0 0 0 0 0
150 0 1 0 0 0 0
151 1 1 0 1 1 0
152 0 0 0 1 1 0
153 1 1 1 1 1 0
154 0 0 0 0 0 0
155 0 1 1 1 1 0
156 0 1 0 0 1 0
157 1 0 0 1 0 0
158 0 1 0 1 1 0
159 1 1 0 1 0 0
160 0 0 0 0 0 0
161 0 1 0 0 0 0
162 1 0 0 1 1 0
163 0 0 0 1 0 0
164 0 0 0 0 1 0
165 0 0 0 1 0 0
166 0 1 1 1 1 0
167 0 0 0 0 1 0
168 0 1 1 1 1 0
169 1 1 0 1 1 0
170 0 1 0 1 0 0
171 0 0 0 1 1 0
172 1 1 1 1 1 0
173 1 1 1 1 1 0
174 1 0 0 0 0 0
175 1 1 1 1 1 0
176 1 1 1 1 0 0
177 0 1 1 0 1 0
178 0 0 0 0 1 0
179 1 0 0 1 1 0
180 0 1 1 1 0 0
181 1 0 0 0 1 0
182 1 0 0 1 1 0
183 1 1 0 0 1 0
184 0 1 0 1 0 0
185 0 1 0 0 1 0
186 0 1 0 1 1 0
187 1 1 1 0 1 0
188 0 1 1 1 0 0
189 0 0 1 0 1 0
190 1 0 0 0 0 0
191 0 1 0 1 1 0
192 1 1 0 1 1 0
193 1 1 1 1 1 0
194 0 0 0 0 1 0
195 0 1 0 1 1 0
196 1 1 0 0 0 0
197 1 1 1 1 1 0
198 0 1 0 1 1 0
199 1 1 0 1 1 0
200 1 0 0 0 1 0
201 1 0 0 1 1 0
202 0 0 0 0 0 0
203 1 1 0 1 1 0
204 1 1 0 1 1 0
205 0 1 0 0 1 0
206 1 0 0 0 1 0
207 0 1 1 1 1 0
208 0 1 0 0 1 0
209 1 1 0 1 1 0
210 1 1 1 0 1 0
211 0 1 0 1 1 0
212 0 1 1 1 0 0
213 1 1 0 0 1 0
214 1 0 0 0 1 0
215 0 0 0 0 1 0
216 0 0 0 1 1 0
217 0 1 1 0 1 0
218 1 1 0 0 1 0
219 0 0 1 1 1 0
220 0 0 0 1 1 0
221 0 0 0 0 1 0
222 1 1 0 0 1 0
223 0 0 0 1 0 0
224 0 1 1 1 1 0
225 0 1 0 0 1 0
226 1 0 0 1 1 0
227 0 0 0 0 1 0
228 0 0 0 1 1 0
229 0 1 0 0 1 0
230 0 1 0 1 1 0
231 0 0 0 0 0 0
232 0 1 1 0 1 0
233 0 1 1 1 1 0
234 1 0 0 0 0 0
235 0 1 1 1 1 0
236 0 1 0 1 1 0
237 1 1 0 1 1 0
238 1 0 0 1 1 0
239 1 1 1 0 1 0
240 0 0 0 0 1 0
241 0 0 0 0 1 0
242 0 1 1 1 1 0
243 0 0 1 1 1 0
244 0 0 0 0 1 0
245 0 0 0 0 0 0
246 0 0 0 0 1 0
247 1 1 1 1 1 0
248 0 1 0 0 1 0
249 0 1 1 1 1 0
250 0 0 1 0 1 0
251 0 0 1 0 1 1
252 0 1 1 0 0 1
253 1 1 1 1 0 1
254 1 1 1 1 1 1
255 1 1 1 1 0 1
256 0 1 1 0 0 1
257 1 1 1 0 0 1
258 0 1 1 0 0 1
259 0 1 1 0 0 1
260 0 0 1 1 1 1
261 0 1 1 0 0 1
262 1 0 1 0 0 1
263 0 0 1 0 0 1
264 0 0 1 1 0 1
265 1 1 1 1 0 1
266 0 1 0 1 0 1
267 0 1 1 1 0 1
268 0 1 1 0 0 1
269 1 1 0 0 0 1
270 1 1 1 1 0 1
271 0 1 0 1 0 1
272 0 0 1 1 0 1
273 1 1 1 0 1 1
274 0 1 0 0 0 1
275 0 1 1 1 0 1
276 0 0 1 1 0 1
277 1 1 1 1 0 1
278 0 1 1 1 0 1
279 0 1 1 1 1 1
280 0 0 1 0 0 1
281 0 1 1 0 0 1
282 1 0 1 1 0 1
283 1 1 1 0 0 1
284 0 1 1 1 0 1
285 0 1 1 1 0 1
286 0 0 1 0 0 1
287 1 0 1 1 0 1
288 1 0 0 0 0 1
289 0 1 1 1 0 1
290 1 1 0 1 0 1
291 1 0 0 1 0 1
292 0 0 1 0 0 1
293 0 0 1 1 0 1
294 1 1 1 1 0 1
295 1 0 0 1 0 1
296 0 1 0 0 0 1
297 0 0 0 0 0 1
298 1 0 1 1 1 1
299 1 1 1 1 0 1
300 0 1 1 0 0 1
Code
genNLR(N = 300, itemtype = "nominal", a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 A B A A B 0
2 A C B C B 0
3 A B A B B 0
4 A B A A B 0
5 B A B B B 0
6 A B A A B 0
7 B A A B A 0
8 B A A C B 0
9 A A A B A 0
10 A A A B B 0
11 B C A B B 0
12 A B A A B 0
13 B B A A C 0
14 A A A A A 0
15 C C C A C 0
16 A A A A A 0
17 A B A B B 0
18 A A A B B 0
19 C B A B B 0
20 B A A B B 0
21 B B A B B 0
22 A A A A B 0
23 A B A A C 0
24 A A A A B 0
25 A A A B A 0
26 B A A A A 0
27 A A A A A 0
28 A A A A A 0
29 A A A A A 0
30 A A A A A 0
31 A A A B A 0
32 B A A B A 0
33 B B A A B 0
34 C B A A B 0
35 A B A B B 0
36 B B A C B 0
37 A A A A A 0
38 C A B B C 0
39 C B A C A 0
40 B A A A A 0
41 A A A C B 0
42 A A B B A 0
43 B C A B B 0
44 A A A A B 0
45 A B A B B 0
46 A C B C C 0
47 B B A C A 0
48 B B B B C 0
49 A A B A B 0
50 B A B B B 0
51 B B A A A 0
52 B A B A C 0
53 B A A A A 0
54 B B A B A 0
55 C C C B C 0
56 A B A A A 0
57 A A A C A 0
58 A B A B A 0
59 C C C C C 0
60 B A A B B 0
61 A A B A B 0
62 A B A C B 0
63 A A A A A 0
64 A A A A A 0
65 A B A B C 0
66 A A A A B 0
67 B A A A A 0
68 A A A A A 0
69 A C A B A 0
70 B B B C C 0
71 C B B A C 0
72 A A A C B 0
73 A A B A A 0
74 A B A A A 0
75 A C B B C 0
76 A B A A B 0
77 A A A B A 0
78 C C B C A 0
79 B B A A A 0
80 C B B B C 0
81 A C B C B 0
82 B A A A A 0
83 B A A B B 0
84 B B A B A 0
85 A C A A B 0
86 A A B A B 0
87 A A A A B 0
88 C C A C B 0
89 A B C C C 0
90 B C B C B 0
91 C C C C B 0
92 C C C C C 0
93 A C B C B 0
94 B B A B C 0
95 B C A C B 0
96 A A A B B 0
97 A A A B A 0
98 A A A A A 0
99 A A A B B 0
100 A A A A B 0
101 B C B C B 0
102 B B B A B 0
103 C B A B B 0
104 B A A B A 0
105 A A A A A 0
106 A A A A C 0
107 A B B A B 0
108 C C C C C 0
109 A A A B B 0
110 B B A B A 0
111 B C A A B 0
112 A A A A A 0
113 B B A B A 0
114 B C B A B 0
115 B C A B C 0
116 B B B A C 0
117 B A B A A 0
118 C A A B B 0
119 A B A B C 0
120 A A A A A 0
121 B A A B A 0
122 B A A B C 0
123 B B B B B 0
124 B A A A C 0
125 A B A B A 0
126 A A A B A 0
127 C C C C C 0
128 C C B C C 0
129 A A A A B 0
130 A A A A A 0
131 B B A C C 0
132 A C A C B 0
133 C C B C C 0
134 A A A A A 0
135 C C B B B 0
136 A A A A B 0
137 A A A A A 0
138 B C A B C 0
139 A A A B B 0
140 A A A A A 0
141 A A A C B 0
142 C C A A B 0
143 A B A C A 0
144 A A A B A 0
145 A A A A A 0
146 C B B B C 0
147 A B A A B 0
148 B C A B B 0
149 A A B A A 0
150 A B A B B 0
151 B A A B A 1
152 A A A A A 1
153 A A A A A 1
154 B B A A A 1
155 B A A A A 1
156 B A A A A 1
157 B B B A A 1
158 A B A A A 1
159 B A A A A 1
160 A A A A B 1
161 A A A B A 1
162 A B A B A 1
163 A A A A A 1
164 A B A A A 1
165 B B C B A 1
166 B C A A A 1
167 B C B A B 1
168 B B A A A 1
169 C B B A A 1
170 A C B A A 1
171 C C B A B 1
172 B A A A A 1
173 A A A B A 1
174 A C A B A 1
175 A B A A A 1
176 A A A A A 1
177 B C B C B 1
178 A B A A A 1
179 B A A A A 1
180 A A A B A 1
181 A A A A A 1
182 A B B A A 1
183 A A A A A 1
184 B A A A A 1
185 C C B C A 1
186 A B A B B 1
187 B A A A A 1
188 A B A A A 1
189 A A A A A 1
190 A A A A A 1
191 A B A A A 1
192 B B B C A 1
193 A B A B A 1
194 A C A B A 1
195 B A A A A 1
196 A B A A A 1
197 B A A A A 1
198 A B C A A 1
199 A A A B A 1
200 A B A A A 1
201 A B B A B 1
202 A B B A A 1
203 A A A A A 1
204 B A A A A 1
205 B C A B A 1
206 A B A A A 1
207 A C B A A 1
208 A B A A A 1
209 A B A A A 1
210 C B A C A 1
211 B C A A B 1
212 A A A A A 1
213 A B A B A 1
214 B B A B A 1
215 A A A A A 1
216 A B A A A 1
217 B B B B A 1
218 C C B A A 1
219 B B B C A 1
220 A B A B A 1
221 A A A A A 1
222 A B A B A 1
223 B B A A A 1
224 C B B A A 1
225 A B B A A 1
226 B B A A A 1
227 B C B B A 1
228 A A A A A 1
229 A A A A A 1
230 A A A B A 1
231 A A A A A 1
232 B B C B B 1
233 A B A A A 1
234 A A A A A 1
235 A A A A B 1
236 B A A A A 1
237 C B B B A 1
238 A B A A A 1
239 C C C C B 1
240 B A A B A 1
241 A A A A A 1
242 A B A A A 1
243 B C B C B 1
244 A A A A A 1
245 A A B B A 1
246 B B A B A 1
247 C C C C B 1
248 A B A B A 1
249 A C A B A 1
250 A B A A A 1
251 A A B A A 1
252 B C A B A 1
253 B A A A A 1
254 A B A A A 1
255 B B A A A 1
256 B A A A A 1
257 B B A B A 1
258 A A A A A 1
259 A B B A B 1
260 A C B A A 1
261 A A A A A 1
262 A A A A A 1
263 A A A A A 1
264 A B A A A 1
265 A A A A A 1
266 B C B A B 1
267 A A A A A 1
268 A A A A A 1
269 B B A B A 1
270 A A A A A 1
271 A A B A A 1
272 A A A A A 1
273 B B B A A 1
274 A A A A A 1
275 C C B C A 1
276 A A A A A 1
277 A B B B B 1
278 A C A A A 1
279 A B A A A 1
280 B C B B A 1
281 B B B A A 1
282 A A B A A 1
283 B A A A A 1
284 A A A A A 1
285 C C B B B 1
286 A A A A A 1
287 A A A A A 1
288 A C A C A 1
289 A A A A A 1
290 A A A A A 1
291 B C B C A 1
292 B B B B A 1
293 B C C C B 1
294 A A A B A 1
295 B C A C A 1
296 A B A A A 1
297 A B A A A 1
298 A B A A A 1
299 A A B A A 1
300 A A A B A 1
Code
genNLR(N = 300, itemtype = "nominal", ratio = 5, a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 B A A B B 0
2 A A A A C 0
3 A B B B A 0
4 C B A B A 0
5 B B A A B 0
6 B A A B A 0
7 C B A C B 0
8 B B A C B 0
9 A C A A B 0
10 A C C B B 0
11 B A A A A 0
12 A B A B B 0
13 A A A C A 0
14 A A A A B 0
15 A A A A B 0
16 A A A A A 0
17 C B A C A 0
18 B A B A B 0
19 B C A B C 0
20 A A A B B 0
21 B A A B C 0
22 A A A A A 0
23 C A A C B 0
24 A C C C B 0
25 A A A A B 0
26 C B A B B 0
27 A A A B A 0
28 A B A B A 0
29 A A A B A 0
30 C C C C B 0
31 C C A B C 0
32 A A A B A 0
33 B B A B A 0
34 A B C C B 0
35 A A A A C 0
36 A B B B A 0
37 A A A A A 0
38 A B B A C 0
39 B B A B B 0
40 C B A A A 0
41 A A A A B 0
42 A B B C C 0
43 B A A B A 0
44 A A A B A 0
45 B B A B B 0
46 A A A A B 0
47 A B B B A 0
48 A B A B C 0
49 A A A A B 0
50 A A A A A 0
51 A A A B A 0
52 A A A A B 0
53 B B A C B 0
54 C C C B C 0
55 A A A A A 0
56 B B B B C 0
57 C C B A A 0
58 A A A A B 0
59 A A B A B 0
60 A A A A A 0
61 A A A A B 0
62 A A C A B 0
63 B A A A B 0
64 A B A A B 0
65 A A A A C 0
66 A A A A A 0
67 A A B A B 0
68 A A A B B 0
69 A C B B C 0
70 A A A A B 0
71 C C C C C 0
72 A A A C B 0
73 B A A A C 0
74 A C A B B 0
75 A A A B B 0
76 A A A A A 0
77 B B B A B 0
78 B A B C C 0
79 B B B C B 0
80 A A A A C 0
81 A A A A A 0
82 B B A C A 0
83 B A A A B 0
84 C C A B C 0
85 C B A B B 0
86 A A A A A 0
87 A A A A A 0
88 C B B C B 0
89 B C B C C 0
90 A B A C A 0
91 A A A A A 0
92 C C B B C 0
93 C C B C B 0
94 B C A B B 0
95 B A A A A 0
96 A B A B B 0
97 A A A B A 0
98 B B B C B 0
99 B C A C B 0
100 A A A A A 0
101 A A B C C 0
102 B B A B B 0
103 C B C B B 0
104 B B A B C 0
105 A C B B A 0
106 C C B C C 0
107 B C B B B 0
108 B B A B C 0
109 B A A A A 0
110 A A A A B 0
111 A B B B B 0
112 A A B B A 0
113 A B A A A 0
114 A A A A A 0
115 B B B A C 0
116 A A A A B 0
117 B A A C B 0
118 B B A B C 0
119 B B C C C 0
120 C A A B C 0
121 C B B A A 0
122 B B B C C 0
123 B C A B C 0
124 B A A A C 0
125 A A A A B 0
126 C C A B B 0
127 B A A B A 0
128 A B B B C 0
129 A A A A A 0
130 A A A B B 0
131 A A A A B 0
132 B B B C B 0
133 A B A B A 0
134 A A A B A 0
135 B B A C A 0
136 A A A A A 0
137 B B A A A 0
138 A A A A A 0
139 B B A B C 0
140 C C C A B 0
141 C C C C C 0
142 B C B A B 0
143 A A A A A 0
144 A A A A A 0
145 A A B B A 0
146 A A A B B 0
147 B B B B B 0
148 A C A B B 0
149 B C B A B 0
150 B C B B B 0
151 B C C B B 0
152 B C A A A 0
153 B A B B A 0
154 A A A A B 0
155 A A A A A 0
156 C C C B C 0
157 B B A A B 0
158 B B A C A 0
159 A C B B B 0
160 C B B B C 0
161 B A A B B 0
162 C C B C C 0
163 A A A B C 0
164 B B B C B 0
165 A A A A A 0
166 B C A B C 0
167 B A A B B 0
168 B C B C C 0
169 B B A A A 0
170 A A A A B 0
171 A B B B B 0
172 A A A A A 0
173 B C A B C 0
174 A A B B A 0
175 C A A B C 0
176 B B B B C 0
177 A B A B A 0
178 B B A A C 0
179 A B A B B 0
180 A B C A B 0
181 B A A B B 0
182 A A A A A 0
183 A A A B A 0
184 B A A B B 0
185 C A A A B 0
186 A A A A A 0
187 A B A A A 0
188 A A B A B 0
189 A A A B B 0
190 A B A B B 0
191 A A A A A 0
192 A A A A A 0
193 B A B B A 0
194 A B A A B 0
195 C B B B B 0
196 A B A C B 0
197 B A C A B 0
198 A C C C B 0
199 A A A A A 0
200 B B B C B 0
201 A A A A A 0
202 B B A C C 0
203 B B B B B 0
204 A B A A A 0
205 A A A C B 0
206 B C A B C 0
207 A A A A B 0
208 C B B C C 0
209 C C A B C 0
210 B C A C B 0
211 B A B B B 0
212 A A A A C 0
213 B B A B C 0
214 A B A B B 0
215 B A A B A 0
216 A A A A C 0
217 B B B B B 0
218 C B C B C 0
219 B C A B B 0
220 C C B C C 0
221 A A A B A 0
222 A A A A A 0
223 C C A B C 0
224 B C A B C 0
225 B C A B C 0
226 A A A A B 0
227 B A A B A 0
228 A B A A B 0
229 A A A A A 0
230 B A B B C 0
231 A A A A B 0
232 B C A C C 0
233 B A B C B 0
234 A C B A B 0
235 A B B B A 0
236 C C B B C 0
237 A A A A A 0
238 C C A B C 0
239 B A B A B 0
240 A A A A B 0
241 A A A B B 0
242 A A A B A 0
243 A B B B B 0
244 B A B C C 0
245 C C B C C 0
246 B C B C B 0
247 B C C C B 0
248 C B B B B 0
249 A A A A A 0
250 A A B B A 0
251 A B A A B 1
252 A A A A A 1
253 B B A B A 1
254 A B A A A 1
255 B B B A A 1
256 A A A B A 1
257 A C B A A 1
258 A A A A A 1
259 A A A A A 1
260 B B A A A 1
261 A A A A A 1
262 A C B A B 1
263 B A A A A 1
264 A C C B C 1
265 A B A A A 1
266 A A A A A 1
267 A A A A A 1
268 A A A B A 1
269 A A A A A 1
270 C C B C B 1
271 A A A A A 1
272 A B A B B 1
273 A A A A A 1
274 B B A A A 1
275 A A A A A 1
276 B C A A A 1
277 A A A A A 1
278 B A A A A 1
279 A A A A A 1
280 B C A C A 1
281 A B A A A 1
282 B C A B A 1
283 A A A A A 1
284 B B A B A 1
285 A B A A A 1
286 A A A A A 1
287 A A B A B 1
288 A B A A A 1
289 A B A B A 1
290 A A A A A 1
291 B B A B A 1
292 B C B C A 1
293 A B A C A 1
294 B B B C A 1
295 A A A A A 1
296 A A B B A 1
297 A A A A A 1
298 A A A A A 1
299 A A A A A 1
300 A A A B A 1
Code
genNLR(N = 300, itemtype = "nominal", a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 A A A A A 0
2 B B A A C 0
3 B B C B B 0
4 A B A A B 0
5 A B B A C 0
6 A B A B B 0
7 A B A B C 0
8 A A A B C 0
9 A B A A B 0
10 A B B B C 0
11 B B A B C 0
12 A B A A A 0
13 A A A A C 0
14 B B B B C 0
15 B B C C C 0
16 B B B C C 0
17 A B B A B 0
18 A B A A B 0
19 A A B A A 0
20 A A B B B 0
21 A B A B B 0
22 B B A B C 0
23 A B B A C 0
24 A B C B C 0
25 B B B B C 0
26 A A A B B 0
27 B B C B C 0
28 B B B B C 0
29 A A A B B 0
30 B B B B A 0
31 B B A A B 0
32 B B C B C 0
33 A B A A A 0
34 B B A B C 0
35 A B A B A 0
36 B B A B B 0
37 A B A B C 0
38 B B A B C 0
39 A B A A A 0
40 A B B B B 0
41 A A A A B 0
42 B B B A C 0
43 B A B C B 0
44 B B A A B 0
45 A A B A B 0
46 A B A A B 0
47 A B A C C 0
48 A A A B B 0
49 B B A A C 0
50 A B A A C 0
51 B B C A B 0
52 A B B A C 0
53 B B A A B 0
54 B B C C B 0
55 B B A C C 0
56 A A B B C 0
57 B B B B C 0
58 A B B C C 0
59 A A A A A 0
60 B B B A C 0
61 B B B B B 0
62 B B A C C 0
63 B A A B B 0
64 B A A B A 0
65 A B A B B 0
66 B B B C C 0
67 A A A A B 0
68 A B C A B 0
69 B B A A B 0
70 B B C A C 0
71 A B B B B 0
72 A B B B C 0
73 A B A A A 0
74 A B A A C 0
75 A B A B B 0
76 B B C C C 0
77 A B A A B 0
78 A B B B B 0
79 B B C B C 0
80 B B A A C 0
81 B B C A C 0
82 B B A A B 0
83 B B A A B 0
84 A A A A A 0
85 A A A A A 0
86 A B A B C 0
87 B A A A B 0
88 A B A B C 0
89 A A A A A 0
90 B B B B C 0
91 B B A B C 0
92 A B A A B 0
93 B A A A A 0
94 B B B A C 0
95 B B A C B 0
96 A A A A B 0
97 B A B A B 0
98 B B A B C 0
99 A B A A A 0
100 A A A B B 0
101 B B B C C 0
102 B B A A C 0
103 A B A A A 0
104 B B B C C 0
105 B B A A A 0
106 B A A C B 0
107 A B B B C 0
108 A A A A B 0
109 A A A A A 0
110 B A A B B 0
111 B B B B C 0
112 A B A A C 0
113 A A A A A 0
114 B B A B C 0
115 B B B A C 0
116 B B A A B 0
117 B B C C C 0
118 A B A A B 0
119 A B B A C 0
120 A B A A C 0
121 A A A A A 0
122 A B A A B 0
123 A B A A B 0
124 A B B B C 0
125 B A A A B 0
126 B B A A C 0
127 A B A A B 0
128 A B A A B 0
129 B B A C C 0
130 A A A A A 0
131 A A A A B 0
132 B B B A B 0
133 A A A A A 0
134 A A A A A 0
135 B B A B B 0
136 B B A A C 0
137 A B A A A 0
138 A B A B C 0
139 A B A A C 0
140 A B A A B 0
141 B B B B B 0
142 B B A B B 0
143 A B A B B 0
144 A B A C A 0
145 A B A A C 0
146 B B B B C 0
147 A B B A B 0
148 B A A A C 0
149 B B A A B 0
150 B B A B C 0
151 B B B A C 1
152 B B C B C 1
153 B B B A C 1
154 B B A B A 1
155 B B C B C 1
156 B B A B B 1
157 B B A C C 1
158 B B B B C 1
159 B B A A C 1
160 B B A B C 1
161 B B A B C 1
162 B A A A A 1
163 A B A A A 1
164 A A A A B 1
165 A A A A B 1
166 B B A A A 1
167 B B B B B 1
168 B B B A C 1
169 B B A B C 1
170 B A A A C 1
171 B B C A C 1
172 B A C C C 1
173 B B A B B 1
174 B B A B C 1
175 B B A A C 1
176 B B A C C 1
177 B A A A A 1
178 B B A B B 1
179 B B B A C 1
180 B B C C C 1
181 B B C C C 1
182 B B A B C 1
183 B B B A C 1
184 B A B A A 1
185 B A A A C 1
186 B B A A B 1
187 B A A A C 1
188 B B B C C 1
189 B B B C B 1
190 B B A B C 1
191 B B C B C 1
192 B B C B C 1
193 B B B C C 1
194 B A A A B 1
195 B B A B C 1
196 B A B B C 1
197 B A A B A 1
198 B B A A C 1
199 B B A B C 1
200 A B A A C 1
201 B A A C C 1
202 B B A B C 1
203 B B C B C 1
204 B B A C C 1
205 B A A A C 1
206 B B A B A 1
207 B B A B C 1
208 A B A A B 1
209 B B A A B 1
210 B A A A B 1
211 B B B A C 1
212 B B A A C 1
213 B B A A C 1
214 B A B B C 1
215 B B A A B 1
216 B B B B C 1
217 B A C B C 1
218 B B A A B 1
219 B B B B C 1
220 B B B C B 1
221 A B B A C 1
222 B B B B C 1
223 B B A A B 1
224 B B B A C 1
225 B B A A C 1
226 B B B B C 1
227 B A A A B 1
228 B B B A C 1
229 B A A A A 1
230 B B A A C 1
231 B B B B C 1
232 A B A A B 1
233 B B A B B 1
234 B A A C B 1
235 B B A A C 1
236 B A A A B 1
237 B A A A C 1
238 B B A A C 1
239 A A A A C 1
240 B A A A A 1
241 A B A A B 1
242 B A A A C 1
243 B B B B C 1
244 B A A A B 1
245 B B B A C 1
246 B B A A A 1
247 B B C C C 1
248 B B A C C 1
249 B A A B A 1
250 B B C C C 1
251 A B A A B 1
252 B B B A C 1
253 A B A A C 1
254 B B C C C 1
255 B B A A A 1
256 B B B B B 1
257 B B A C C 1
258 B B A B B 1
259 B B A A C 1
260 B B C C B 1
261 B B C C C 1
262 B B B A C 1
263 B B A A B 1
264 B A A B A 1
265 B A B A C 1
266 B B A C B 1
267 B A A A B 1
268 B B B A C 1
269 B B A A C 1
270 B B B A C 1
271 B A A A C 1
272 A B A A B 1
273 B B A B C 1
274 B A A B A 1
275 B B B B C 1
276 B A B A B 1
277 B B A A C 1
278 B A A A A 1
279 B A A A A 1
280 B B B C C 1
281 A A A B C 1
282 B B B B C 1
283 B B B B B 1
284 A B A A A 1
285 A B A A C 1
286 A A A A A 1
287 B A A A A 1
288 B B A A C 1
289 B B A A B 1
290 A B A A B 1
291 B B C B C 1
292 B B C A C 1
293 B B A B C 1
294 B B A A B 1
295 B B C C C 1
296 B B A A C 1
297 B B B C C 1
298 B B A B C 1
299 B B C C C 1
300 B B A B B 1
Code
genNLR(N = 300, itemtype = "nominal", ratio = 5, a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 A B A A B 0
2 A B A B B 0
3 B B A A C 0
4 B B C B B 0
5 B A C B C 0
6 A A A B B 0
7 A B A A C 0
8 B B A C B 0
9 A B A B C 0
10 B B B B C 0
11 A B A C C 0
12 A B A A C 0
13 B B C C C 0
14 B B A A C 0
15 A B B B C 0
16 B B A B C 0
17 A B A A B 0
18 A A A A A 0
19 A B A A B 0
20 B B B B C 0
21 A B A A C 0
22 A B C C C 0
23 A B C B B 0
24 B B C C C 0
25 A B B A C 0
26 B B B B B 0
27 B B C B C 0
28 A B A A A 0
29 A B A B C 0
30 B B A C B 0
31 B B A A C 0
32 B B A A A 0
33 A B A A B 0
34 A B A A B 0
35 B B B B B 0
36 B B A B C 0
37 A B B B C 0
38 B B A B B 0
39 B B A A B 0
40 B B B B C 0
41 B B B B B 0
42 A B A B B 0
43 B B B C C 0
44 A A A A B 0
45 B B A A C 0
46 B B B C C 0
47 B B A A C 0
48 A A A A A 0
49 B B B C C 0
50 B B B C C 0
51 B B A A B 0
52 A B A A A 0
53 B B A A C 0
54 B A A A A 0
55 B A A B A 0
56 A B A B C 0
57 A A A B A 0
58 A B A A C 0
59 A B B A B 0
60 A A A A A 0
61 A A A A B 0
62 B B A B C 0
63 B B C B C 0
64 A B A A C 0
65 A B A A A 0
66 A B A A B 0
67 A B A A A 0
68 A B A B C 0
69 B B A A B 0
70 A B A A C 0
71 A B A A B 0
72 A B A B C 0
73 A B A A C 0
74 A B A A C 0
75 A B A A C 0
76 B B A A B 0
77 A B A B B 0
78 A B B B C 0
79 B B A A C 0
80 A A A A B 0
81 B B A A C 0
82 A A A A A 0
83 B B B B B 0
84 B B C B C 0
85 B B C B B 0
86 B B A A B 0
87 A B B A C 0
88 B B C A C 0
89 B B C C C 0
90 A A C B B 0
91 A B A A A 0
92 A A A A B 0
93 A B A B B 0
94 B B A A C 0
95 B B C A B 0
96 A A A A A 0
97 A A A A B 0
98 B B A A A 0
99 A B A A A 0
100 A A B A B 0
101 A A A A C 0
102 A B A A B 0
103 A B B A C 0
104 B B A A A 0
105 A B A A A 0
106 A B A C C 0
107 A B A B B 0
108 B B C B C 0
109 B B A A C 0
110 A A A B B 0
111 A B A A B 0
112 A B A A B 0
113 B B A C C 0
114 B A A A C 0
115 A B A A B 0
116 B B A B C 0
117 B B A B C 0
118 A B A A A 0
119 A B A A C 0
120 B B A B C 0
121 B B A B B 0
122 B B B A C 0
123 A A A A A 0
124 A A B A C 0
125 B B B B B 0
126 A B A A B 0
127 A B B A C 0
128 A B A A C 0
129 A A A B C 0
130 B B B B B 0
131 A B A A C 0
132 A A A A C 0
133 B B C C C 0
134 A B A B B 0
135 B B B B C 0
136 A B B B C 0
137 A A A B C 0
138 A A B A A 0
139 B B B A B 0
140 B A B A C 0
141 A B A B C 0
142 A A B B C 0
143 A B A A A 0
144 A A A A B 0
145 B B B B C 0
146 A B B A B 0
147 A A A A B 0
148 A B B A B 0
149 A A A A B 0
150 A B A B A 0
151 B A A A C 0
152 A A A B B 0
153 B B B B C 0
154 B A A A A 0
155 B B C A C 0
156 B B A A B 0
157 A A C A C 0
158 A B A A C 0
159 A A A A A 0
160 B B B B C 0
161 B B B B C 0
162 A B A B B 0
163 A B A B C 0
164 A A A A A 0
165 A B B A C 0
166 B B A A B 0
167 A B A B B 0
168 A B A B A 0
169 A A C B C 0
170 A B A B B 0
171 A B B A C 0
172 B B C B C 0
173 B B C A B 0
174 B B B A C 0
175 A B A A A 0
176 B B B B C 0
177 A B A A B 0
178 A B A A A 0
179 B B B B C 0
180 A B A A C 0
181 A B A B B 0
182 B B A B C 0
183 A B B A A 0
184 A B C A C 0
185 A B A B C 0
186 B B C C C 0
187 B B A A C 0
188 B B B C C 0
189 B B B A C 0
190 B B B A C 0
191 B B A A A 0
192 A B A A A 0
193 B A A A C 0
194 A B B C C 0
195 A B A A B 0
196 A A A A B 0
197 A B C B C 0
198 B B A B C 0
199 B B A A A 0
200 A B A A C 0
201 A B A B C 0
202 A B C A C 0
203 A A A B B 0
204 A B B B B 0
205 B B A A B 0
206 B B A B C 0
207 A B A B C 0
208 A A B C C 0
209 B B B A C 0
210 B B A A B 0
211 A B A B C 0
212 A B A A A 0
213 A B A A C 0
214 B B C B C 0
215 B B B B C 0
216 A B A A B 0
217 B B B B C 0
218 B A A A C 0
219 B B B B C 0
220 A B A A C 0
221 A B A A A 0
222 A B A C B 0
223 A B A A C 0
224 A A A A C 0
225 A B A A A 0
226 A B A A A 0
227 B B A A C 0
228 A B A B B 0
229 A B A B C 0
230 A B A A C 0
231 A B A B B 0
232 A B B B C 0
233 B B A B C 0
234 A B A B B 0
235 B B A C C 0
236 A B A A B 0
237 A B A A C 0
238 A B B B C 0
239 B B C B B 0
240 A A A A B 0
241 B B A B C 0
242 A B A A A 0
243 A B A C B 0
244 A B A B A 0
245 B B A B C 0
246 A B A A C 0
247 B B B B C 0
248 A A A A C 0
249 A B A B C 0
250 A B A A C 0
251 B B A B C 1
252 B B A A C 1
253 B B C B C 1
254 B B A A C 1
255 B A A B B 1
256 B B B A B 1
257 B B A C C 1
258 A B A C B 1
259 B B A B C 1
260 B B A B C 1
261 B A A B C 1
262 B A B A C 1
263 B B A B C 1
264 B B B C C 1
265 B B A A C 1
266 B B A C C 1
267 B B A C C 1
268 B B B B C 1
269 B B B A C 1
270 B A A A C 1
271 B B A A B 1
272 B A A A C 1
273 B B B C C 1
274 B B B B C 1
275 B B A C C 1
276 B A B A B 1
277 B B A B B 1
278 B A A B C 1
279 B B A A C 1
280 B B A A C 1
281 B B A B C 1
282 B B A B C 1
283 B A A A A 1
284 B B A A C 1
285 B B A B C 1
286 B B C B C 1
287 B A A B B 1
288 B B C B C 1
289 B B C A C 1
290 B B A A A 1
291 A B B B C 1
292 B B A B B 1
293 B B A A B 1
294 A A A A B 1
295 B B A B C 1
296 A B A A B 1
297 B B A B A 1
298 B B A A B 1
299 B A A B C 1
300 A B A A C 1
genNLR - further examples
Code
(df1 <- genNLR(N = 300, a = a, b = b, c = c, d = d))
Output
Item1 Item2 Item3 Item4 Item5 group
1 1 1 1 1 0 0
2 1 0 1 1 1 0
3 1 0 0 1 1 0
4 1 1 0 0 0 0
5 1 1 0 1 1 0
6 1 1 0 1 1 0
7 1 0 0 1 0 0
8 0 1 0 0 0 0
9 1 1 0 0 1 0
10 1 0 0 0 0 0
11 1 1 0 1 1 0
12 1 1 1 0 1 0
13 1 0 0 0 0 0
14 0 1 0 0 0 0
15 1 0 0 0 0 0
16 1 0 0 1 1 0
17 1 1 0 1 1 0
18 0 0 0 0 0 0
19 0 1 0 1 1 0
20 1 0 1 0 0 0
21 0 1 0 0 1 0
22 1 0 0 0 0 0
23 0 0 0 0 0 0
24 1 1 1 0 1 0
25 1 0 1 1 0 0
26 1 0 0 0 0 0
27 1 1 0 1 1 0
28 1 1 0 0 0 0
29 1 0 1 0 0 0
30 1 0 0 1 1 0
31 1 0 0 0 0 0
32 1 0 0 1 0 0
33 1 0 0 0 0 0
34 1 1 0 1 1 0
35 1 0 0 1 1 0
36 1 1 0 1 1 0
37 0 1 0 1 1 0
38 1 1 0 0 1 0
39 1 1 1 1 1 0
40 1 0 0 0 1 0
41 1 1 0 0 0 0
42 1 0 0 1 0 0
43 0 0 0 0 0 0
44 1 1 1 1 1 0
45 1 1 1 1 1 0
46 1 0 0 0 0 0
47 1 0 0 0 1 0
48 1 0 0 0 0 0
49 1 1 0 1 1 0
50 1 0 0 1 1 0
51 1 0 1 0 0 0
52 0 0 0 0 0 0
53 1 1 0 0 1 0
54 1 1 0 1 1 0
55 1 0 0 0 1 0
56 1 0 1 1 1 0
57 0 0 0 0 1 0
58 1 1 0 1 1 0
59 1 0 1 0 0 0
60 1 1 0 0 0 0
61 1 1 0 0 1 0
62 1 0 0 0 1 0
63 1 0 0 1 0 0
64 1 0 0 0 1 0
65 1 1 0 0 0 0
66 1 0 0 1 1 0
67 0 1 0 1 1 0
68 1 0 1 1 0 0
69 1 0 0 1 1 0
70 1 1 0 0 1 0
71 1 1 0 0 0 0
72 0 0 0 0 0 0
73 1 0 0 0 1 0
74 1 0 0 0 0 0
75 1 0 1 0 0 0
76 1 1 0 0 0 0
77 1 1 0 0 0 0
78 1 0 0 0 0 0
79 1 1 0 0 0 0
80 1 0 0 0 1 0
81 1 0 0 1 0 0
82 1 0 1 1 1 0
83 1 1 0 0 0 0
84 1 1 1 1 1 0
85 0 1 0 1 0 0
86 1 0 0 0 0 0
87 1 1 1 1 1 0
88 1 1 0 1 1 0
89 1 0 0 0 0 0
90 1 1 0 1 1 0
91 1 1 1 0 1 0
92 1 1 0 0 0 0
93 1 0 0 0 1 0
94 1 0 1 0 1 0
95 1 1 0 1 0 0
96 1 1 0 0 0 0
97 1 1 0 1 1 0
98 1 1 1 1 1 0
99 1 1 1 1 0 0
100 1 0 0 0 0 0
101 0 0 0 0 0 0
102 1 0 0 1 1 0
103 1 0 0 0 0 0
104 1 1 1 1 1 0
105 1 1 0 1 0 0
106 1 0 0 0 1 0
107 1 1 0 1 0 0
108 1 0 0 0 0 0
109 1 0 0 0 1 0
110 1 1 0 1 1 0
111 1 0 0 0 0 0
112 1 1 0 0 1 0
113 0 0 1 0 0 0
114 1 0 0 1 0 0
115 1 1 1 0 1 0
116 1 0 0 1 1 0
117 1 1 1 1 1 0
118 1 0 0 0 0 0
119 0 0 0 0 1 0
120 1 0 0 0 0 0
121 1 0 1 0 0 0
122 1 1 0 0 0 0
123 1 0 1 0 1 0
124 1 0 0 1 0 0
125 1 1 0 1 1 0
126 1 0 0 1 0 0
127 1 0 0 0 1 0
128 1 0 0 0 1 0
129 0 0 0 0 0 0
130 1 0 0 1 0 0
131 1 1 0 1 1 0
132 1 1 0 1 1 0
133 1 0 0 0 1 0
134 0 0 0 0 0 0
135 1 0 0 1 0 0
136 1 1 0 0 1 0
137 0 0 0 0 0 0
138 0 1 1 1 1 0
139 1 1 0 1 1 0
140 1 0 0 0 0 0
141 0 0 0 1 1 0
142 1 1 0 1 0 0
143 1 0 0 0 0 0
144 1 0 0 1 0 0
145 1 0 0 0 0 0
146 1 0 1 1 1 0
147 0 0 0 0 0 0
148 1 1 0 0 1 0
149 1 0 1 1 1 0
150 0 1 0 0 0 0
151 1 0 0 1 1 1
152 1 0 0 0 1 1
153 1 0 0 1 1 1
154 1 0 0 0 0 1
155 1 0 0 0 1 1
156 1 0 0 0 0 1
157 1 0 0 1 1 1
158 0 0 1 1 1 1
159 1 1 0 1 1 1
160 1 1 0 1 0 1
161 1 1 1 0 0 1
162 1 0 0 0 0 1
163 1 0 1 0 0 1
164 1 1 1 1 1 1
165 1 0 0 1 0 1
166 1 0 0 1 1 1
167 1 1 0 0 1 1
168 1 0 0 0 0 1
169 1 0 0 1 0 1
170 1 1 0 1 1 1
171 0 1 0 0 0 1
172 1 1 0 1 0 1
173 1 1 0 0 1 1
174 1 1 0 1 1 1
175 1 0 0 0 1 1
176 1 0 1 0 0 1
177 1 0 0 0 1 1
178 1 1 1 0 1 1
179 1 1 0 0 0 1
180 1 0 0 0 0 1
181 1 0 0 0 0 1
182 1 1 0 1 1 1
183 1 0 1 1 0 1
184 1 0 0 0 0 1
185 1 1 1 0 1 1
186 1 0 0 0 0 1
187 1 1 0 1 1 1
188 1 0 1 1 1 1
189 1 0 0 0 1 1
190 0 0 0 1 0 1
191 0 0 1 1 1 1
192 1 0 0 0 0 1
193 1 0 0 0 0 1
194 1 0 0 1 0 1
195 0 0 0 1 0 1
196 1 1 0 0 1 1
197 1 0 0 0 1 1
198 1 0 0 0 0 1
199 1 0 0 0 0 1
200 1 0 0 0 0 1
201 1 1 1 1 1 1
202 1 1 0 1 1 1
203 1 0 0 0 0 1
204 1 0 0 0 1 1
205 1 1 0 1 0 1
206 0 0 0 1 0 1
207 1 0 0 0 0 1
208 1 1 1 0 0 1
209 1 0 1 0 1 1
210 1 1 1 1 1 1
211 1 0 0 0 0 1
212 1 0 1 1 1 1
213 1 1 1 1 1 1
214 0 0 0 1 0 1
215 0 0 0 0 1 1
216 1 1 0 0 1 1
217 1 0 0 0 1 1
218 1 1 0 0 0 1
219 1 0 0 1 0 1
220 1 0 0 0 0 1
221 1 0 1 1 1 1
222 1 1 0 1 1 1
223 1 1 0 1 0 1
224 0 1 1 1 1 1
225 1 0 0 0 0 1
226 1 0 0 1 1 1
227 1 1 0 0 0 1
228 1 0 1 0 0 1
229 1 1 1 1 1 1
230 1 0 0 0 0 1
231 1 1 0 0 1 1
232 1 1 0 0 0 1
233 1 0 1 1 1 1
234 1 0 1 1 0 1
235 1 1 0 1 0 1
236 1 0 0 0 0 1
237 1 0 0 0 0 1
238 1 1 1 0 0 1
239 1 1 0 0 0 1
240 1 0 0 1 0 1
241 0 1 0 0 0 1
242 1 0 0 1 0 1
243 1 1 0 1 1 1
244 1 1 0 0 0 1
245 1 0 0 0 0 1
246 1 1 0 1 1 1
247 0 1 0 1 0 1
248 1 0 0 0 0 1
249 1 0 0 1 0 1
250 1 1 0 1 1 1
251 1 1 0 1 1 1
252 1 0 0 1 0 1
253 0 1 0 1 1 1
254 1 1 0 1 1 1
255 1 1 1 0 1 1
256 1 0 1 0 1 1
257 1 1 0 0 1 1
258 1 0 1 1 1 1
259 1 0 1 0 0 1
260 0 0 0 1 0 1
261 1 0 1 0 0 1
262 1 0 0 0 1 1
263 1 0 1 0 0 1
264 1 1 0 1 1 1
265 1 1 1 1 1 1
266 1 1 1 0 1 1
267 1 1 1 1 1 1
268 1 0 0 0 0 1
269 1 0 0 1 1 1
270 1 1 0 1 0 1
271 1 1 1 1 1 1
272 1 1 0 1 0 1
273 1 1 1 1 1 1
274 1 1 0 0 0 1
275 1 1 0 1 1 1
276 1 0 0 0 1 1
277 1 0 0 0 1 1
278 1 0 1 0 1 1
279 1 1 1 0 0 1
280 1 1 1 0 1 1
281 1 0 0 0 0 1
282 1 1 0 1 1 1
283 1 0 1 0 1 1
284 1 1 1 0 0 1
285 1 1 1 0 1 1
286 0 0 0 0 1 1
287 1 1 1 0 1 1
288 1 1 1 1 0 1
289 1 1 0 1 1 1
290 1 1 1 1 1 1
291 1 1 0 1 1 1
292 1 1 0 1 1 1
293 1 1 1 1 1 1
294 1 1 0 1 0 1
295 1 1 1 1 1 1
296 1 0 1 0 0 1
297 1 0 0 1 1 1
298 1 0 0 1 0 1
299 1 1 0 1 1 1
300 1 1 0 1 1 1
Code
(df2 <- genNLR(N = 300, a = a, b = b, c = c, d = d))
Output
Item1 Item2 Item3 Item4 Item5 group
1 1 1 1 1 0 0
2 1 0 1 1 1 0
3 1 0 0 1 1 0
4 1 1 0 0 0 0
5 1 1 0 1 1 0
6 1 1 0 1 1 0
7 1 0 0 1 0 0
8 0 1 0 0 0 0
9 1 1 0 0 1 0
10 1 0 0 0 0 0
11 1 1 0 1 1 0
12 1 1 1 0 1 0
13 1 0 0 0 0 0
14 0 1 0 0 0 0
15 1 0 0 0 0 0
16 1 0 0 1 1 0
17 1 1 0 1 1 0
18 0 0 0 0 0 0
19 0 1 0 1 1 0
20 1 0 1 0 0 0
21 0 1 0 0 1 0
22 1 0 0 0 0 0
23 0 0 0 0 0 0
24 1 1 1 0 1 0
25 1 0 1 1 0 0
26 1 0 0 0 0 0
27 1 1 0 1 1 0
28 1 1 0 0 0 0
29 1 0 1 0 0 0
30 1 0 0 1 1 0
31 1 0 0 0 0 0
32 1 0 0 1 0 0
33 1 0 0 0 0 0
34 1 1 0 1 1 0
35 1 0 0 1 1 0
36 1 1 0 1 1 0
37 0 1 0 1 1 0
38 1 1 0 0 1 0
39 1 1 1 1 1 0
40 1 0 0 0 1 0
41 1 1 0 0 0 0
42 1 0 0 1 0 0
43 0 0 0 0 0 0
44 1 1 1 1 1 0
45 1 1 1 1 1 0
46 1 0 0 0 0 0
47 1 0 0 0 1 0
48 1 0 0 0 0 0
49 1 1 0 1 1 0
50 1 0 0 1 1 0
51 1 0 1 0 0 0
52 0 0 0 0 0 0
53 1 1 0 0 1 0
54 1 1 0 1 1 0
55 1 0 0 0 1 0
56 1 0 1 1 1 0
57 0 0 0 0 1 0
58 1 1 0 1 1 0
59 1 0 1 0 0 0
60 1 1 0 0 0 0
61 1 1 0 0 1 0
62 1 0 0 0 1 0
63 1 0 0 1 0 0
64 1 0 0 0 1 0
65 1 1 0 0 0 0
66 1 0 0 1 1 0
67 0 1 0 1 1 0
68 1 0 1 1 0 0
69 1 0 0 1 1 0
70 1 1 0 0 1 0
71 1 1 0 0 0 0
72 0 0 0 0 0 0
73 1 0 0 0 1 0
74 1 0 0 0 0 0
75 1 0 1 0 0 0
76 1 1 0 0 0 0
77 1 1 0 0 0 0
78 1 0 0 0 0 0
79 1 1 0 0 0 0
80 1 0 0 0 1 0
81 1 0 0 1 0 0
82 1 0 1 1 1 0
83 1 1 0 0 0 0
84 1 1 1 1 1 0
85 0 1 0 1 0 0
86 1 0 0 0 0 0
87 1 1 1 1 1 0
88 1 1 0 1 1 0
89 1 0 0 0 0 0
90 1 1 0 1 1 0
91 1 1 1 0 1 0
92 1 1 0 0 0 0
93 1 0 0 0 1 0
94 1 0 1 0 1 0
95 1 1 0 1 0 0
96 1 1 0 0 0 0
97 1 1 0 1 1 0
98 1 1 1 1 1 0
99 1 1 1 1 0 0
100 1 0 0 0 0 0
101 0 0 0 0 0 0
102 1 0 0 1 1 0
103 1 0 0 0 0 0
104 1 1 1 1 1 0
105 1 1 0 1 0 0
106 1 0 0 0 1 0
107 1 1 0 1 0 0
108 1 0 0 0 0 0
109 1 0 0 0 1 0
110 1 1 0 1 1 0
111 1 0 0 0 0 0
112 1 1 0 0 1 0
113 0 0 1 0 0 0
114 1 0 0 1 0 0
115 1 1 1 0 1 0
116 1 0 0 1 1 0
117 1 1 1 1 1 0
118 1 0 0 0 0 0
119 0 0 0 0 1 0
120 1 0 0 0 0 0
121 1 0 1 0 0 0
122 1 1 0 0 0 0
123 1 0 1 0 1 0
124 1 0 0 1 0 0
125 1 1 0 1 1 0
126 1 0 0 1 0 0
127 1 0 0 0 1 0
128 1 0 0 0 1 0
129 0 0 0 0 0 0
130 1 0 0 1 0 0
131 1 1 0 1 1 0
132 1 1 0 1 1 0
133 1 0 0 0 1 0
134 0 0 0 0 0 0
135 1 0 0 1 0 0
136 1 1 0 0 1 0
137 0 0 0 0 0 0
138 0 1 1 1 1 0
139 1 1 0 1 1 0
140 1 0 0 0 0 0
141 0 0 0 1 1 0
142 1 1 0 1 0 0
143 1 0 0 0 0 0
144 1 0 0 1 0 0
145 1 0 0 0 0 0
146 1 0 1 1 1 0
147 0 0 0 0 0 0
148 1 1 0 0 1 0
149 1 0 1 1 1 0
150 0 1 0 0 0 0
151 1 0 0 1 1 1
152 1 0 0 0 1 1
153 1 0 0 1 1 1
154 1 0 0 0 0 1
155 1 0 0 0 1 1
156 1 0 0 0 0 1
157 1 0 0 1 1 1
158 0 0 1 1 1 1
159 1 1 0 1 1 1
160 1 1 0 1 0 1
161 1 1 1 0 0 1
162 1 0 0 0 0 1
163 1 0 1 0 0 1
164 1 1 1 1 1 1
165 1 0 0 1 0 1
166 1 0 0 1 1 1
167 1 1 0 0 1 1
168 1 0 0 0 0 1
169 1 0 0 1 0 1
170 1 1 0 1 1 1
171 0 1 0 0 0 1
172 1 1 0 1 0 1
173 1 1 0 0 1 1
174 1 1 0 1 1 1
175 1 0 0 0 1 1
176 1 0 1 0 0 1
177 1 0 0 0 1 1
178 1 1 1 0 1 1
179 1 1 0 0 0 1
180 1 0 0 0 0 1
181 1 0 0 0 0 1
182 1 1 0 1 1 1
183 1 0 1 1 0 1
184 1 0 0 0 0 1
185 1 1 1 0 1 1
186 1 0 0 0 0 1
187 1 1 0 1 1 1
188 1 0 1 1 1 1
189 1 0 0 0 1 1
190 0 0 0 1 0 1
191 0 0 1 1 1 1
192 1 0 0 0 0 1
193 1 0 0 0 0 1
194 1 0 0 1 0 1
195 0 0 0 1 0 1
196 1 1 0 0 1 1
197 1 0 0 0 1 1
198 1 0 0 0 0 1
199 1 0 0 0 0 1
200 1 0 0 0 0 1
201 1 1 1 1 1 1
202 1 1 0 1 1 1
203 1 0 0 0 0 1
204 1 0 0 0 1 1
205 1 1 0 1 0 1
206 0 0 0 1 0 1
207 1 0 0 0 0 1
208 1 1 1 0 0 1
209 1 0 1 0 1 1
210 1 1 1 1 1 1
211 1 0 0 0 0 1
212 1 0 1 1 1 1
213 1 1 1 1 1 1
214 0 0 0 1 0 1
215 0 0 0 0 1 1
216 1 1 0 0 1 1
217 1 0 0 0 1 1
218 1 1 0 0 0 1
219 1 0 0 1 0 1
220 1 0 0 0 0 1
221 1 0 1 1 1 1
222 1 1 0 1 1 1
223 1 1 0 1 0 1
224 0 1 1 1 1 1
225 1 0 0 0 0 1
226 1 0 0 1 1 1
227 1 1 0 0 0 1
228 1 0 1 0 0 1
229 1 1 1 1 1 1
230 1 0 0 0 0 1
231 1 1 0 0 1 1
232 1 1 0 0 0 1
233 1 0 1 1 1 1
234 1 0 1 1 0 1
235 1 1 0 1 0 1
236 1 0 0 0 0 1
237 1 0 0 0 0 1
238 1 1 1 0 0 1
239 1 1 0 0 0 1
240 1 0 0 1 0 1
241 0 1 0 0 0 1
242 1 0 0 1 0 1
243 1 1 0 1 1 1
244 1 1 0 0 0 1
245 1 0 0 0 0 1
246 1 1 0 1 1 1
247 0 1 0 1 0 1
248 1 0 0 0 0 1
249 1 0 0 1 0 1
250 1 1 0 1 1 1
251 1 1 0 1 1 1
252 1 0 0 1 0 1
253 0 1 0 1 1 1
254 1 1 0 1 1 1
255 1 1 1 0 1 1
256 1 0 1 0 1 1
257 1 1 0 0 1 1
258 1 0 1 1 1 1
259 1 0 1 0 0 1
260 0 0 0 1 0 1
261 1 0 1 0 0 1
262 1 0 0 0 1 1
263 1 0 1 0 0 1
264 1 1 0 1 1 1
265 1 1 1 1 1 1
266 1 1 1 0 1 1
267 1 1 1 1 1 1
268 1 0 0 0 0 1
269 1 0 0 1 1 1
270 1 1 0 1 0 1
271 1 1 1 1 1 1
272 1 1 0 1 0 1
273 1 1 1 1 1 1
274 1 1 0 0 0 1
275 1 1 0 1 1 1
276 1 0 0 0 1 1
277 1 0 0 0 1 1
278 1 0 1 0 1 1
279 1 1 1 0 0 1
280 1 1 1 0 1 1
281 1 0 0 0 0 1
282 1 1 0 1 1 1
283 1 0 1 0 1 1
284 1 1 1 0 0 1
285 1 1 1 0 1 1
286 0 0 0 0 1 1
287 1 1 1 0 1 1
288 1 1 1 1 0 1
289 1 1 0 1 1 1
290 1 1 1 1 1 1
291 1 1 0 1 1 1
292 1 1 0 1 1 1
293 1 1 1 1 1 1
294 1 1 0 1 0 1
295 1 1 1 1 1 1
296 1 0 1 0 0 1
297 1 0 0 1 1 1
298 1 0 0 1 0 1
299 1 1 0 1 1 1
300 1 1 0 1 1 1
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Code
genNLR(N = 300, a = a, b = b, c = c, d = d)
Output
Item1 Item2 Item3 Item4 Item5 group
1 0 1 0 0 1 0
2 1 1 0 1 1 0
3 1 0 0 0 1 0
4 0 0 0 0 0 0
5 0 0 1 1 1 0
6 0 0 0 0 0 0
7 1 1 1 1 1 0
8 0 1 0 1 1 0
9 0 0 0 0 0 0
10 1 1 0 0 1 0
11 1 1 1 0 0 0
12 1 1 0 0 0 0
13 0 0 1 1 1 0
14 0 1 1 1 1 0
15 1 1 1 1 1 0
16 1 0 0 1 1 0
17 1 1 1 1 0 0
18 0 1 0 0 1 0
19 0 1 1 0 1 0
20 0 1 0 1 0 0
21 1 0 0 1 1 0
22 1 1 0 0 1 0
23 0 0 0 1 1 0
24 0 1 1 1 0 0
25 0 1 0 1 1 0
26 0 0 0 0 1 0
27 1 0 0 0 1 0
28 0 0 1 1 0 0
29 1 1 1 1 1 0
30 0 1 1 1 1 0
31 0 0 0 1 1 0
32 0 1 1 1 0 0
33 0 0 0 1 1 0
34 1 1 1 1 1 0
35 0 1 1 0 1 0
36 0 1 1 1 0 0
37 1 1 0 0 0 0
38 0 1 0 1 1 0
39 0 1 0 1 0 0
40 0 1 0 1 1 0
41 1 1 0 0 0 0
42 0 1 1 0 1 0
43 1 0 0 0 1 0
44 1 0 0 0 1 0
45 1 1 0 1 1 0
46 0 0 0 0 1 0
47 0 1 1 1 1 0
48 0 1 0 1 1 0
49 0 1 1 1 1 0
50 1 1 1 1 1 0
51 0 0 1 1 1 0
52 0 0 0 1 1 0
53 0 1 1 1 1 0
54 0 0 1 0 0 0
55 0 0 0 0 0 0
56 1 1 1 1 1 0
57 0 0 1 1 1 0
58 0 0 0 0 0 0
59 0 0 1 0 1 0
60 0 1 0 0 1 0
61 1 1 0 0 1 0
62 0 1 0 1 1 0
63 0 1 0 0 1 0
64 1 0 0 0 0 0
65 0 0 1 1 1 0
66 0 1 1 1 1 0
67 1 1 1 0 1 0
68 0 1 0 1 1 0
69 0 1 1 1 1 0
70 0 1 1 1 1 0
71 1 1 1 1 1 0
72 0 1 1 0 1 0
73 0 1 1 1 1 0
74 0 0 0 1 1 0
75 1 1 0 0 1 0
76 0 1 0 0 1 0
77 1 1 1 1 1 0
78 1 1 1 1 1 0
79 1 1 0 0 0 0
80 0 0 0 0 1 0
81 0 0 1 0 0 0
82 1 0 0 1 1 0
83 1 0 1 0 0 0
84 1 1 0 1 1 0
85 0 1 1 0 1 0
86 1 1 0 1 1 0
87 1 0 0 0 1 0
88 0 0 0 0 0 0
89 1 1 0 1 1 0
90 0 1 0 0 0 0
91 0 0 0 1 1 0
92 1 1 1 1 1 0
93 0 0 0 0 0 0
94 1 1 0 1 1 0
95 0 1 1 0 1 0
96 0 1 0 0 1 0
97 1 1 1 1 1 0
98 1 0 1 0 0 0
99 0 0 1 0 1 0
100 0 0 0 1 0 0
101 1 0 0 1 1 0
102 0 1 0 1 1 0
103 0 0 0 1 1 0
104 0 1 0 1 1 0
105 1 1 1 1 1 0
106 0 0 1 1 0 0
107 1 1 0 0 1 0
108 0 1 1 0 1 0
109 0 1 0 0 0 0
110 1 0 0 0 1 0
111 1 1 1 1 1 0
112 0 0 0 0 1 0
113 0 0 0 1 1 0
114 0 1 0 0 1 0
115 0 0 0 0 0 0
116 0 1 1 1 1 0
117 0 0 0 0 1 0
118 1 1 0 0 1 0
119 1 1 1 1 1 0
120 0 0 0 1 1 0
121 0 1 0 0 0 0
122 0 1 0 0 1 0
123 0 0 1 0 0 0
124 0 0 0 0 1 0
125 0 0 0 1 0 0
126 0 1 0 0 1 0
127 0 0 0 1 1 0
128 0 1 0 1 1 0
129 0 0 1 1 0 0
130 0 0 0 0 1 0
131 1 1 1 1 1 0
132 1 1 1 1 0 0
133 1 0 0 1 1 0
134 1 1 0 1 1 0
135 0 0 1 0 0 0
136 0 0 1 1 1 0
137 0 1 1 1 1 0
138 0 1 1 1 1 0
139 1 1 1 1 0 0
140 1 1 0 0 1 0
141 0 1 1 1 1 0
142 1 0 0 0 1 0
143 0 0 1 1 1 0
144 1 1 1 1 1 0
145 1 1 1 0 1 0
146 0 1 0 1 1 0
147 0 1 1 1 1 0
148 0 0 1 0 1 0
149 0 0 1 0 1 0
150 1 1 0 0 1 0
151 1 0 0 1 0 1
152 0 1 1 1 0 1
153 0 1 1 1 0 1
154 1 1 1 0 1 1
155 1 0 1 1 0 1
156 0 0 0 1 0 1
157 0 0 1 0 0 1
158 0 1 1 1 0 1
159 0 1 1 1 0 1
160 0 1 1 1 0 1
161 0 0 1 1 0 1
162 0 1 1 1 0 1
163 0 1 1 1 0 1
164 0 0 1 1 0 1
165 0 0 1 0 0 1
166 1 1 1 0 0 1
167 0 1 1 1 0 1
168 0 0 0 1 0 1
169 1 0 1 0 0 1
170 0 1 0 0 0 1
171 0 1 1 1 0 1
172 0 0 0 1 0 1
173 0 1 1 1 0 1
174 1 1 1 1 0 1
175 1 0 1 0 1 1
176 1 1 1 0 0 1
177 0 1 1 1 0 1
178 0 1 1 0 0 1
179 0 1 1 1 0 1
180 0 1 1 0 0 1
181 0 1 0 1 0 1
182 0 1 1 1 0 1
183 0 1 1 1 1 1
184 1 1 0 1 0 1
185 1 1 1 1 0 1
186 0 1 1 0 0 1
187 0 0 1 0 0 1
188 0 1 0 1 0 1
189 1 1 0 1 0 1
190 1 1 1 1 0 1
191 0 1 0 0 0 1
192 1 1 1 1 0 1
193 0 1 1 1 0 1
194 0 1 0 0 0 1
195 0 0 1 1 0 1
196 0 1 1 1 1 1
197 0 1 1 1 0 1
198 0 1 0 1 1 1
199 0 1 1 1 1 1
200 0 0 1 1 0 1
201 1 0 1 1 0 1
202 1 1 1 0 0 1
203 1 1 1 1 0 1
204 0 0 1 1 0 1
205 0 1 1 1 0 1
206 0 1 1 1 1 1
207 1 1 1 1 0 1
208 0 1 1 1 0 1
209 0 1 1 0 0 1
210 0 1 1 0 0 1
211 1 1 1 0 1 1
212 1 1 1 0 0 1
213 1 1 1 0 1 1
214 0 0 1 1 0 1
215 0 1 1 0 0 1
216 0 0 0 0 0 1
217 1 1 1 0 0 1
218 0 1 1 1 0 1
219 0 1 0 1 0 1
220 1 1 1 1 0 1
221 0 1 0 1 0 1
222 0 1 1 1 0 1
223 0 1 1 1 0 1
224 0 1 1 0 0 1
225 0 1 1 1 0 1
226 1 1 0 0 0 1
227 0 1 0 0 0 1
228 0 0 1 0 0 1
229 0 1 1 1 0 1
230 0 0 1 0 1 1
231 0 1 1 0 0 1
232 0 1 1 0 0 1
233 1 1 1 1 0 1
234 0 0 1 1 0 1
235 0 1 1 1 1 1
236 0 1 1 1 0 1
237 0 1 1 1 0 1
238 1 1 0 1 0 1
239 1 1 0 0 1 1
240 0 1 0 0 0 1
241 0 1 1 1 0 1
242 1 1 1 1 0 1
243 1 1 0 0 0 1
244 0 1 1 1 0 1
245 0 1 0 1 1 1
246 0 1 1 1 1 1
247 0 1 1 0 0 1
248 0 1 1 0 1 1
249 0 1 1 0 0 1
250 0 1 0 0 0 1
251 0 1 1 1 0 1
252 1 1 1 1 0 1
253 1 1 0 1 0 1
254 0 1 0 1 0 1
255 1 1 1 1 0 1
256 1 1 0 1 0 1
257 0 0 0 1 1 1
258 0 1 1 0 0 1
259 0 0 1 1 0 1
260 1 1 1 1 0 1
261 1 1 0 0 0 1
262 0 1 0 0 0 1
263 1 1 1 1 0 1
264 0 1 1 0 1 1
265 1 1 1 1 0 1
266 0 0 1 1 0 1
267 1 1 1 0 0 1
268 0 1 1 1 0 1
269 1 0 1 0 0 1
270 0 1 1 1 0 1
271 0 1 1 1 0 1
272 0 0 0 1 0 1
273 1 1 0 1 0 1
274 0 1 1 1 0 1
275 1 1 1 1 1 1
276 1 0 1 1 0 1
277 0 1 1 1 1 1
278 0 1 1 0 0 1
279 0 1 1 1 0 1
280 0 0 1 1 1 1
281 1 1 1 1 0 1
282 0 1 1 0 0 1
283 0 1 1 0 0 1
284 1 0 1 1 0 1
285 0 0 1 0 0 1
286 1 1 1 0 0 1
287 0 0 0 0 0 1
288 0 1 1 0 0 1
289 0 1 1 1 0 1
290 0 1 1 1 0 1
291 1 1 1 0 0 1
292 0 1 1 1 0 1
293 0 0 0 1 0 1
294 0 1 1 0 0 1
295 1 1 1 1 0 1
296 0 1 1 1 0 1
297 0 1 1 0 0 1
298 1 1 1 0 0 1
299 0 0 0 0 1 1
300 0 1 1 1 0 1
Code
genNLR(N = 300, a = a, b = b, c = c, d = d, mu = c(1, 0), sigma = c(1, 2))
Output
Item1 Item2 Item3 Item4 Item5 group
1 1 1 1 1 0 0
2 0 1 0 1 1 0
3 0 1 1 0 1 0
4 0 1 0 1 1 0
5 0 1 1 1 1 0
6 1 1 0 0 1 0
7 1 1 1 1 0 0
8 0 1 0 1 0 0
9 0 1 0 1 1 0
10 0 0 0 0 1 0
11 1 1 0 1 0 0
12 1 1 1 1 0 0
13 0 0 0 1 1 0
14 0 0 0 1 1 0
15 1 1 1 0 1 0
16 0 0 0 0 1 0
17 0 1 0 1 1 0
18 0 1 1 1 1 0
19 1 1 0 0 1 0
20 0 1 0 0 1 0
21 1 1 1 1 1 0
22 0 0 0 1 0 0
23 0 1 0 1 0 0
24 1 1 0 0 1 0
25 1 1 0 1 1 0
26 1 1 1 1 1 0
27 0 1 0 1 1 0
28 1 1 1 1 1 0
29 0 1 1 1 0 0
30 0 1 0 0 1 0
31 1 1 1 1 1 0
32 1 1 1 1 0 0
33 0 1 0 1 1 0
34 0 1 1 1 0 0
35 1 1 1 0 0 0
36 1 0 0 1 1 0
37 1 1 0 0 1 0
38 0 1 0 1 0 0
39 0 0 0 0 0 0
40 0 1 1 1 1 0
41 0 0 1 0 1 0
42 0 1 1 1 1 0
43 1 1 1 1 0 0
44 1 1 0 0 1 0
45 0 1 1 1 1 0
46 1 1 1 1 0 0
47 1 0 0 0 1 0
48 0 1 1 0 1 0
49 0 1 1 1 1 0
50 1 0 0 0 1 0
51 0 0 1 1 1 0
52 0 1 0 0 1 0
53 1 1 1 1 1 0
54 0 1 1 1 0 0
55 1 1 0 1 1 0
56 1 1 1 1 1 0
57 0 1 1 1 1 0
58 1 1 0 0 1 0
59 0 1 1 1 1 0
60 1 0 0 0 1 0
61 1 1 1 1 1 0
62 0 0 1 1 0 0
63 1 1 1 0 1 0
64 0 0 0 1 0 0
65 1 1 0 0 1 0
66 0 1 0 0 1 0
67 0 0 1 1 0 0
68 0 1 1 1 1 0
69 1 1 0 1 1 0
70 1 1 1 1 0 0
71 1 1 1 1 1 0
72 0 1 0 1 0 0
73 1 1 1 0 1 0
74 1 1 0 1 1 0
75 1 1 0 1 1 0
76 0 0 1 1 0 0
77 0 1 1 0 0 0
78 0 1 1 0 1 0
79 0 1 1 1 1 0
80 1 1 1 1 1 0
81 0 1 1 0 1 0
82 0 1 0 1 1 0
83 0 1 0 1 1 0
84 1 0 1 0 1 0
85 1 1 1 1 1 0
86 0 1 1 1 1 0
87 1 1 0 1 1 0
88 0 1 1 1 1 0
89 0 1 0 0 1 0
90 0 0 1 1 1 0
91 0 1 1 1 0 0
92 0 1 1 1 1 0
93 1 1 1 1 1 0
94 1 1 0 1 1 0
95 0 1 0 1 1 0
96 0 0 0 1 0 0
97 0 1 0 0 1 0
98 1 1 0 1 1 0
99 1 1 0 1 1 0
100 0 1 1 1 1 0
101 1 1 1 0 1 0
102 1 1 1 1 1 0
103 1 1 0 0 0 0
104 1 1 1 1 1 0
105 1 1 1 1 0 0
106 0 1 1 1 1 0
107 1 1 0 1 1 0
108 0 0 1 1 1 0
109 0 0 0 1 1 0
110 0 1 0 1 0 0
111 1 1 1 0 1 0
112 0 0 0 1 1 0
113 0 1 1 0 1 0
114 0 1 1 1 1 0
115 0 1 1 1 1 0
116 1 1 1 1 1 0
117 0 1 0 0 0 0
118 1 1 0 1 1 0
119 1 1 1 1 1 0
120 0 0 0 0 1 0
121 1 1 0 1 1 0
122 1 1 1 1 1 0
123 1 1 1 1 1 0
124 0 1 1 0 1 0
125 1 1 1 0 1 0
126 1 1 0 0 1 0
127 0 1 1 1 0 0
128 0 1 1 0 1 0
129 0 1 0 0 1 0
130 1 1 1 1 1 0
131 0 1 1 1 1 0
132 0 1 0 0 1 0
133 1 1 0 1 1 0
134 0 0 1 1 1 0
135 0 1 1 1 0 0
136 0 1 1 1 0 0
137 0 0 0 0 0 0
138 1 1 1 1 0 0
139 0 1 1 1 1 0
140 1 1 0 1 1 0
141 0 1 1 1 1 0
142 1 0 0 1 1 0
143 1 1 1 0 1 0
144 0 1 0 0 0 0
145 0 1 1 0 1 0
146 0 1 1 1 0 0
147 0 0 1 0 1 0
148 0 0 1 0 1 0
149 0 1 1 1 1 0
150 1 1 0 0 1 0
151 0 1 1 1 0 1
152 1 0 0 0 0 1
153 0 0 0 0 0 1
154 0 1 0 1 0 1
155 0 0 1 0 0 1
156 1 1 1 0 1 1
157 0 0 1 0 0 1
158 0 1 1 1 0 1
159 0 1 1 1 0 1
160 0 1 1 1 0 1
161 1 0 1 1 0 1
162 1 1 1 1 1 1
163 1 0 0 1 0 1
164 0 0 0 0 1 1
165 1 1 1 1 0 1
166 0 0 0 0 0 1
167 1 1 1 1 1 1
168 0 0 1 0 0 1
169 1 1 1 1 0 1
170 0 1 1 1 1 1
171 0 0 0 0 0 1
172 1 1 1 1 0 1
173 0 0 1 1 1 1
174 0 1 1 0 0 1
175 1 1 1 0 0 1
176 1 1 1 1 0 1
177 1 0 1 1 0 1
178 1 1 1 1 0 1
179 1 1 1 0 1 1
180 1 1 1 1 1 1
181 1 1 1 0 0 1
182 1 1 1 1 1 1
183 1 1 1 1 0 1
184 0 1 1 1 0 1
185 0 1 1 1 0 1
186 0 1 0 0 0 1
187 0 0 0 0 0 1
188 1 1 1 1 1 1
189 0 1 0 1 0 1
190 1 1 0 1 0 1
191 1 1 1 0 0 1
192 1 1 0 1 0 1
193 0 1 1 0 0 1
194 0 1 1 0 0 1
195 1 1 1 1 0 1
196 1 1 1 0 1 1
197 0 1 0 1 0 1
198 1 1 1 1 1 1
199 0 1 1 0 0 1
200 1 1 1 1 0 1
201 1 1 1 1 1 1
202 1 1 0 1 0 1
203 0 0 1 0 0 1
204 0 0 1 1 0 1
205 0 0 0 1 0 1
206 1 1 0 1 0 1
207 0 0 1 1 0 1
208 0 1 1 1 0 1
209 0 1 1 1 0 1
210 0 1 1 0 0 1
211 0 1 0 1 0 1
212 0 1 1 1 0 1
213 1 1 1 1 0 1
214 0 0 0 0 0 1
215 0 1 0 0 0 1
216 1 1 0 1 0 1
217 0 1 1 0 0 1
218 0 1 0 0 0 1
219 0 0 0 0 0 1
220 0 1 1 1 1 1
221 1 1 1 1 0 1
222 1 1 1 1 1 1
223 1 1 1 0 0 1
224 1 1 1 1 1 1
225 1 1 1 0 0 1
226 0 0 0 1 0 1
227 1 1 1 1 0 1
228 0 0 0 1 0 1
229 0 1 1 0 0 1
230 1 1 1 0 1 1
231 0 0 0 0 0 1
232 0 1 1 1 0 1
233 0 1 1 0 0 1
234 0 1 0 1 0 1
235 0 1 0 0 0 1
236 0 1 1 1 1 1
237 1 0 0 0 0 1
238 0 1 1 0 0 1
239 1 0 0 0 0 1
240 0 1 1 0 0 1
241 0 1 1 0 0 1
242 0 1 1 0 0 1
243 1 1 1 1 0 1
244 0 1 0 1 0 1
245 0 0 0 1 0 1
246 1 1 1 1 0 1
247 1 1 1 0 0 1
248 0 0 0 0 0 1
249 1 1 1 1 1 1
250 1 1 1 1 0 1
251 0 0 1 1 0 1
252 0 0 0 0 0 1
253 0 1 1 1 1 1
254 1 1 1 1 1 1
255 1 1 1 1 0 1
256 1 1 0 1 0 1
257 0 1 1 1 0 1
258 0 0 0 0 0 1
259 0 1 1 1 0 1
260 0 1 0 0 0 1
261 0 0 1 0 0 1
262 1 1 1 1 0 1
263 0 1 1 1 0 1
264 0 1 1 1 0 1
265 0 0 1 1 0 1
266 0 0 0 0 0 1
267 0 1 0 1 0 1
268 0 0 0 0 0 1
269 1 1 0 0 0 1
270 1 1 1 1 0 1
271 1 1 1 1 0 1
272 1 1 1 1 0 1
273 0 1 1 0 0 1
274 0 1 1 0 0 1
275 0 0 0 0 0 1
276 0 0 1 0 0 1
277 1 1 0 0 0 1
278 0 1 1 1 0 1
279 1 0 1 1 0 1
280 0 1 1 0 0 1
281 0 0 1 1 0 1
282 0 0 0 0 0 1
283 0 0 1 1 0 1
284 1 1 1 1 0 1
285 0 1 1 1 0 1
286 0 1 0 1 1 1
287 1 1 1 0 0 1
288 1 1 0 0 0 1
289 0 0 1 0 0 1
290 1 1 1 0 0 1
291 1 1 1 1 1 1
292 0 1 1 0 0 1
293 1 1 1 1 1 1
294 1 1 1 1 1 1
295 0 1 1 0 0 1
296 0 1 1 0 0 1
297 1 1 1 1 1 1
298 1 1 1 1 0 1
299 0 0 1 1 0 1
300 1 1 1 1 0 1
Code
genNLR(N = 300, ratio = 5, a = a, b = b, c = c, d = d)
Output
Item1 Item2 Item3 Item4 Item5 group
1 0 0 1 1 1 0
2 0 0 0 0 0 0
3 0 1 0 1 1 0
4 0 1 0 1 1 0
5 0 1 1 1 0 0
6 1 1 0 1 1 0
7 0 1 0 0 1 0
8 0 0 0 0 1 0
9 1 1 0 1 1 0
10 0 1 1 1 1 0
11 0 0 1 1 1 0
12 1 0 0 1 1 0
13 0 0 0 1 1 0
14 1 1 0 1 1 0
15 0 1 0 0 0 0
16 0 1 0 1 1 0
17 0 0 0 1 1 0
18 0 0 0 0 1 0
19 1 1 0 1 1 0
20 0 0 0 0 1 0
21 0 0 0 1 1 0
22 1 0 0 1 1 0
23 1 0 1 0 0 0
24 0 0 0 1 0 0
25 0 0 1 0 1 0
26 1 0 0 0 1 0
27 0 1 0 1 1 0
28 0 1 0 1 1 0
29 0 0 1 0 0 0
30 0 1 1 1 1 0
31 1 1 1 1 1 0
32 0 1 1 1 1 0
33 1 1 1 1 1 0
34 1 1 1 1 1 0
35 0 1 1 1 1 0
36 0 1 1 0 1 0
37 0 0 0 1 1 0
38 0 0 0 1 1 0
39 0 0 0 0 1 0
40 0 1 0 1 1 0
41 0 1 0 0 1 0
42 0 1 0 1 0 0
43 1 0 0 0 0 0
44 0 1 1 1 0 0
45 0 0 0 1 1 0
46 0 0 0 1 1 0
47 0 0 1 1 0 0
48 0 0 0 0 1 0
49 1 0 0 1 1 0
50 1 0 1 0 1 0
51 1 0 0 1 1 0
52 0 0 1 0 0 0
53 0 0 0 1 1 0
54 0 0 0 0 0 0
55 0 0 0 0 1 0
56 0 1 0 0 1 0
57 0 1 1 1 1 0
58 0 0 1 1 1 0
59 0 1 1 1 1 0
60 0 0 1 0 1 0
61 1 0 1 1 1 0
62 1 0 0 1 1 0
63 1 1 0 0 0 0
64 1 1 1 1 1 0
65 0 1 1 0 1 0
66 0 0 0 0 1 0
67 0 1 1 0 1 0
68 1 1 1 1 1 0
69 0 0 0 0 1 0
70 0 1 0 0 1 0
71 0 0 0 1 1 0
72 1 0 0 0 1 0
73 1 0 0 1 1 0
74 0 1 1 1 1 0
75 0 1 1 0 0 0
76 0 1 1 1 1 0
77 0 0 1 0 1 0
78 0 1 1 0 1 0
79 0 1 0 1 1 0
80 0 0 1 1 1 0
81 1 1 1 1 1 0
82 0 0 0 0 1 0
83 0 1 0 1 1 0
84 0 1 0 0 1 0
85 0 1 1 1 1 0
86 1 1 1 1 0 0
87 0 1 1 1 1 0
88 0 1 0 0 1 0
89 0 0 0 0 0 0
90 1 1 0 1 1 0
91 0 0 1 1 1 0
92 0 1 0 1 1 0
93 1 1 0 1 0 0
94 0 1 0 1 1 0
95 1 1 0 1 0 0
96 0 1 1 0 0 0
97 1 1 0 1 1 0
98 0 0 0 0 0 0
99 0 1 1 1 1 0
100 1 1 1 1 1 0
101 0 0 0 1 1 0
102 0 1 1 0 1 0
103 0 0 0 0 0 0
104 0 0 0 0 1 0
105 1 1 0 0 1 0
106 0 1 0 0 1 0
107 1 1 0 1 1 0
108 0 0 0 1 1 0
109 0 1 0 0 1 0
110 1 0 0 1 0 0
111 0 0 1 0 0 0
112 0 0 0 0 1 0
113 0 1 0 1 1 0
114 1 1 1 1 0 0
115 0 1 0 1 1 0
116 1 1 1 1 0 0
117 0 1 0 0 1 0
118 0 1 0 1 1 0
119 1 1 0 1 1 0
120 0 0 0 1 1 0
121 1 0 0 1 0 0
122 1 1 1 1 0 0
123 0 1 1 1 1 0
124 0 1 0 0 0 0
125 0 0 1 0 1 0
126 0 0 0 0 1 0
127 0 1 0 1 0 0
128 0 1 0 1 1 0
129 0 0 1 1 1 0
130 0 0 0 0 0 0
131 1 1 1 0 0 0
132 0 1 1 0 1 0
133 1 1 0 0 1 0
134 1 0 0 1 1 0
135 0 1 1 1 1 0
136 1 1 0 1 1 0
137 0 0 1 0 1 0
138 1 1 1 1 1 0
139 0 0 0 0 1 0
140 0 1 1 1 0 0
141 1 1 1 0 1 0
142 0 0 0 0 1 0
143 0 0 0 0 1 0
144 0 1 0 0 1 0
145 0 1 0 1 1 0
146 0 1 1 0 0 0
147 1 1 1 0 1 0
148 0 0 0 0 1 0
149 0 0 0 0 0 0
150 0 1 0 0 0 0
151 1 1 0 1 1 0
152 0 0 0 1 1 0
153 1 1 1 1 1 0
154 0 0 0 0 0 0
155 0 1 1 1 1 0
156 0 1 0 0 1 0
157 1 0 0 1 0 0
158 0 1 0 1 1 0
159 1 1 0 1 0 0
160 0 0 0 0 0 0
161 0 1 0 0 0 0
162 1 0 0 1 1 0
163 0 0 0 1 0 0
164 0 0 0 0 1 0
165 0 0 0 1 0 0
166 0 1 1 1 1 0
167 0 0 0 0 1 0
168 0 1 1 1 1 0
169 1 1 0 1 1 0
170 0 1 0 1 0 0
171 0 0 0 1 1 0
172 1 1 1 1 1 0
173 1 1 1 1 1 0
174 1 0 0 0 0 0
175 1 1 1 1 1 0
176 1 1 1 1 0 0
177 0 1 1 0 1 0
178 0 0 0 0 1 0
179 1 0 0 1 1 0
180 0 1 1 1 0 0
181 1 0 0 0 1 0
182 1 0 0 1 1 0
183 1 1 0 0 1 0
184 0 1 0 1 0 0
185 0 1 0 0 1 0
186 0 1 0 1 1 0
187 1 1 1 0 1 0
188 0 1 1 1 0 0
189 0 0 1 0 1 0
190 1 0 0 0 0 0
191 0 1 0 1 1 0
192 1 1 0 1 1 0
193 1 1 1 1 1 0
194 0 0 0 0 1 0
195 0 1 0 1 1 0
196 1 1 0 0 0 0
197 1 1 1 1 1 0
198 0 1 0 1 1 0
199 1 1 0 1 1 0
200 1 0 0 0 1 0
201 1 0 0 1 1 0
202 0 0 0 0 0 0
203 1 1 0 1 1 0
204 1 1 0 1 1 0
205 0 1 0 0 1 0
206 1 0 0 0 1 0
207 0 1 1 1 1 0
208 0 1 0 0 1 0
209 1 1 0 1 1 0
210 1 1 1 0 1 0
211 0 1 0 1 1 0
212 0 1 1 1 0 0
213 1 1 0 0 1 0
214 1 0 0 0 1 0
215 0 0 0 0 1 0
216 0 0 0 1 1 0
217 0 1 1 0 1 0
218 1 1 0 0 1 0
219 0 0 1 1 1 0
220 0 0 0 1 1 0
221 0 0 0 0 1 0
222 1 1 0 0 1 0
223 0 0 0 1 0 0
224 0 1 1 1 1 0
225 0 1 0 0 1 0
226 1 0 0 1 1 0
227 0 0 0 0 1 0
228 0 0 0 1 1 0
229 0 1 0 0 1 0
230 0 1 0 1 1 0
231 0 0 0 0 0 0
232 0 1 1 0 1 0
233 0 1 1 1 1 0
234 1 0 0 0 0 0
235 0 1 1 1 1 0
236 0 1 0 1 1 0
237 1 1 0 1 1 0
238 1 0 0 1 1 0
239 1 1 1 0 1 0
240 0 0 0 0 1 0
241 0 0 0 0 1 0
242 0 1 1 1 1 0
243 0 0 1 1 1 0
244 0 0 0 0 1 0
245 0 0 0 0 0 0
246 0 0 0 0 1 0
247 1 1 1 1 1 0
248 0 1 0 0 1 0
249 0 1 1 1 1 0
250 0 0 1 0 1 0
251 0 0 1 0 1 1
252 0 1 1 0 0 1
253 1 1 1 1 0 1
254 1 1 1 1 1 1
255 1 1 1 1 0 1
256 0 1 1 0 0 1
257 1 1 1 0 0 1
258 0 1 1 0 0 1
259 0 1 1 0 0 1
260 0 0 1 1 1 1
261 0 1 1 0 0 1
262 1 0 1 0 0 1
263 0 0 1 0 0 1
264 0 0 1 1 0 1
265 1 1 1 1 0 1
266 0 1 0 1 0 1
267 0 1 1 1 0 1
268 0 1 1 0 0 1
269 1 1 0 0 0 1
270 1 1 1 1 0 1
271 0 1 0 1 0 1
272 0 0 1 1 0 1
273 1 1 1 0 1 1
274 0 1 0 0 0 1
275 0 1 1 1 0 1
276 0 0 1 1 0 1
277 1 1 1 1 0 1
278 0 1 1 1 0 1
279 0 1 1 1 1 1
280 0 0 1 0 0 1
281 0 1 1 0 0 1
282 1 0 1 1 0 1
283 1 1 1 0 0 1
284 0 1 1 1 0 1
285 0 1 1 1 0 1
286 0 0 1 0 0 1
287 1 0 1 1 0 1
288 1 0 0 0 0 1
289 0 1 1 1 0 1
290 1 1 0 1 0 1
291 1 0 0 1 0 1
292 0 0 1 0 0 1
293 0 0 1 1 0 1
294 1 1 1 1 0 1
295 1 0 0 1 0 1
296 0 1 0 0 0 1
297 0 0 0 0 0 1
298 1 0 1 1 1 1
299 1 1 1 1 0 1
300 0 1 1 0 0 1
Code
genNLR(N = 300, itemtype = "nominal", a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 A B A A B 0
2 A C B C B 0
3 A B A B B 0
4 A B A A B 0
5 B A B B B 0
6 A B A A B 0
7 B A A B A 0
8 B A A C B 0
9 A A A B A 0
10 A A A B B 0
11 B C A B B 0
12 A B A A B 0
13 B B A A C 0
14 A A A A A 0
15 C C C A C 0
16 A A A A A 0
17 A B A B B 0
18 A A A B B 0
19 C B A B B 0
20 B A A B B 0
21 B B A B B 0
22 A A A A B 0
23 A B A A C 0
24 A A A A B 0
25 A A A B A 0
26 B A A A A 0
27 A A A A A 0
28 A A A A A 0
29 A A A A A 0
30 A A A A A 0
31 A A A B A 0
32 B A A B A 0
33 B B A A B 0
34 C B A A B 0
35 A B A B B 0
36 B B A C B 0
37 A A A A A 0
38 C A B B C 0
39 C B A C A 0
40 B A A A A 0
41 A A A C B 0
42 A A B B A 0
43 B C A B B 0
44 A A A A B 0
45 A B A B B 0
46 A C B C C 0
47 B B A C A 0
48 B B B B C 0
49 A A B A B 0
50 B A B B B 0
51 B B A A A 0
52 B A B A C 0
53 B A A A A 0
54 B B A B A 0
55 C C C B C 0
56 A B A A A 0
57 A A A C A 0
58 A B A B A 0
59 C C C C C 0
60 B A A B B 0
61 A A B A B 0
62 A B A C B 0
63 A A A A A 0
64 A A A A A 0
65 A B A B C 0
66 A A A A B 0
67 B A A A A 0
68 A A A A A 0
69 A C A B A 0
70 B B B C C 0
71 C B B A C 0
72 A A A C B 0
73 A A B A A 0
74 A B A A A 0
75 A C B B C 0
76 A B A A B 0
77 A A A B A 0
78 C C B C A 0
79 B B A A A 0
80 C B B B C 0
81 A C B C B 0
82 B A A A A 0
83 B A A B B 0
84 B B A B A 0
85 A C A A B 0
86 A A B A B 0
87 A A A A B 0
88 C C A C B 0
89 A B C C C 0
90 B C B C B 0
91 C C C C B 0
92 C C C C C 0
93 A C B C B 0
94 B B A B C 0
95 B C A C B 0
96 A A A B B 0
97 A A A B A 0
98 A A A A A 0
99 A A A B B 0
100 A A A A B 0
101 B C B C B 0
102 B B B A B 0
103 C B A B B 0
104 B A A B A 0
105 A A A A A 0
106 A A A A C 0
107 A B B A B 0
108 C C C C C 0
109 A A A B B 0
110 B B A B A 0
111 B C A A B 0
112 A A A A A 0
113 B B A B A 0
114 B C B A B 0
115 B C A B C 0
116 B B B A C 0
117 B A B A A 0
118 C A A B B 0
119 A B A B C 0
120 A A A A A 0
121 B A A B A 0
122 B A A B C 0
123 B B B B B 0
124 B A A A C 0
125 A B A B A 0
126 A A A B A 0
127 C C C C C 0
128 C C B C C 0
129 A A A A B 0
130 A A A A A 0
131 B B A C C 0
132 A C A C B 0
133 C C B C C 0
134 A A A A A 0
135 C C B B B 0
136 A A A A B 0
137 A A A A A 0
138 B C A B C 0
139 A A A B B 0
140 A A A A A 0
141 A A A C B 0
142 C C A A B 0
143 A B A C A 0
144 A A A B A 0
145 A A A A A 0
146 C B B B C 0
147 A B A A B 0
148 B C A B B 0
149 A A B A A 0
150 A B A B B 0
151 B A A B A 1
152 A A A A A 1
153 A A A A A 1
154 B B A A A 1
155 B A A A A 1
156 B A A A A 1
157 B B B A A 1
158 A B A A A 1
159 B A A A A 1
160 A A A A B 1
161 A A A B A 1
162 A B A B A 1
163 A A A A A 1
164 A B A A A 1
165 B B C B A 1
166 B C A A A 1
167 B C B A B 1
168 B B A A A 1
169 C B B A A 1
170 A C B A A 1
171 C C B A B 1
172 B A A A A 1
173 A A A B A 1
174 A C A B A 1
175 A B A A A 1
176 A A A A A 1
177 B C B C B 1
178 A B A A A 1
179 B A A A A 1
180 A A A B A 1
181 A A A A A 1
182 A B B A A 1
183 A A A A A 1
184 B A A A A 1
185 C C B C A 1
186 A B A B B 1
187 B A A A A 1
188 A B A A A 1
189 A A A A A 1
190 A A A A A 1
191 A B A A A 1
192 B B B C A 1
193 A B A B A 1
194 A C A B A 1
195 B A A A A 1
196 A B A A A 1
197 B A A A A 1
198 A B C A A 1
199 A A A B A 1
200 A B A A A 1
201 A B B A B 1
202 A B B A A 1
203 A A A A A 1
204 B A A A A 1
205 B C A B A 1
206 A B A A A 1
207 A C B A A 1
208 A B A A A 1
209 A B A A A 1
210 C B A C A 1
211 B C A A B 1
212 A A A A A 1
213 A B A B A 1
214 B B A B A 1
215 A A A A A 1
216 A B A A A 1
217 B B B B A 1
218 C C B A A 1
219 B B B C A 1
220 A B A B A 1
221 A A A A A 1
222 A B A B A 1
223 B B A A A 1
224 C B B A A 1
225 A B B A A 1
226 B B A A A 1
227 B C B B A 1
228 A A A A A 1
229 A A A A A 1
230 A A A B A 1
231 A A A A A 1
232 B B C B B 1
233 A B A A A 1
234 A A A A A 1
235 A A A A B 1
236 B A A A A 1
237 C B B B A 1
238 A B A A A 1
239 C C C C B 1
240 B A A B A 1
241 A A A A A 1
242 A B A A A 1
243 B C B C B 1
244 A A A A A 1
245 A A B B A 1
246 B B A B A 1
247 C C C C B 1
248 A B A B A 1
249 A C A B A 1
250 A B A A A 1
251 A A B A A 1
252 B C A B A 1
253 B A A A A 1
254 A B A A A 1
255 B B A A A 1
256 B A A A A 1
257 B B A B A 1
258 A A A A A 1
259 A B B A B 1
260 A C B A A 1
261 A A A A A 1
262 A A A A A 1
263 A A A A A 1
264 A B A A A 1
265 A A A A A 1
266 B C B A B 1
267 A A A A A 1
268 A A A A A 1
269 B B A B A 1
270 A A A A A 1
271 A A B A A 1
272 A A A A A 1
273 B B B A A 1
274 A A A A A 1
275 C C B C A 1
276 A A A A A 1
277 A B B B B 1
278 A C A A A 1
279 A B A A A 1
280 B C B B A 1
281 B B B A A 1
282 A A B A A 1
283 B A A A A 1
284 A A A A A 1
285 C C B B B 1
286 A A A A A 1
287 A A A A A 1
288 A C A C A 1
289 A A A A A 1
290 A A A A A 1
291 B C B C A 1
292 B B B B A 1
293 B C C C B 1
294 A A A B A 1
295 B C A C A 1
296 A B A A A 1
297 A B A A A 1
298 A B A A A 1
299 A A B A A 1
300 A A A B A 1
Code
genNLR(N = 300, itemtype = "nominal", ratio = 5, a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 B A A B B 0
2 A A A A C 0
3 A B B B A 0
4 C B A B A 0
5 B B A A B 0
6 B A A B A 0
7 C B A C B 0
8 B B A C B 0
9 A C A A B 0
10 A C C B B 0
11 B A A A A 0
12 A B A B B 0
13 A A A C A 0
14 A A A A B 0
15 A A A A B 0
16 A A A A A 0
17 C B A C A 0
18 B A B A B 0
19 B C A B C 0
20 A A A B B 0
21 B A A B C 0
22 A A A A A 0
23 C A A C B 0
24 A C C C B 0
25 A A A A B 0
26 C B A B B 0
27 A A A B A 0
28 A B A B A 0
29 A A A B A 0
30 C C C C B 0
31 C C A B C 0
32 A A A B A 0
33 B B A B A 0
34 A B C C B 0
35 A A A A C 0
36 A B B B A 0
37 A A A A A 0
38 A B B A C 0
39 B B A B B 0
40 C B A A A 0
41 A A A A B 0
42 A B B C C 0
43 B A A B A 0
44 A A A B A 0
45 B B A B B 0
46 A A A A B 0
47 A B B B A 0
48 A B A B C 0
49 A A A A B 0
50 A A A A A 0
51 A A A B A 0
52 A A A A B 0
53 B B A C B 0
54 C C C B C 0
55 A A A A A 0
56 B B B B C 0
57 C C B A A 0
58 A A A A B 0
59 A A B A B 0
60 A A A A A 0
61 A A A A B 0
62 A A C A B 0
63 B A A A B 0
64 A B A A B 0
65 A A A A C 0
66 A A A A A 0
67 A A B A B 0
68 A A A B B 0
69 A C B B C 0
70 A A A A B 0
71 C C C C C 0
72 A A A C B 0
73 B A A A C 0
74 A C A B B 0
75 A A A B B 0
76 A A A A A 0
77 B B B A B 0
78 B A B C C 0
79 B B B C B 0
80 A A A A C 0
81 A A A A A 0
82 B B A C A 0
83 B A A A B 0
84 C C A B C 0
85 C B A B B 0
86 A A A A A 0
87 A A A A A 0
88 C B B C B 0
89 B C B C C 0
90 A B A C A 0
91 A A A A A 0
92 C C B B C 0
93 C C B C B 0
94 B C A B B 0
95 B A A A A 0
96 A B A B B 0
97 A A A B A 0
98 B B B C B 0
99 B C A C B 0
100 A A A A A 0
101 A A B C C 0
102 B B A B B 0
103 C B C B B 0
104 B B A B C 0
105 A C B B A 0
106 C C B C C 0
107 B C B B B 0
108 B B A B C 0
109 B A A A A 0
110 A A A A B 0
111 A B B B B 0
112 A A B B A 0
113 A B A A A 0
114 A A A A A 0
115 B B B A C 0
116 A A A A B 0
117 B A A C B 0
118 B B A B C 0
119 B B C C C 0
120 C A A B C 0
121 C B B A A 0
122 B B B C C 0
123 B C A B C 0
124 B A A A C 0
125 A A A A B 0
126 C C A B B 0
127 B A A B A 0
128 A B B B C 0
129 A A A A A 0
130 A A A B B 0
131 A A A A B 0
132 B B B C B 0
133 A B A B A 0
134 A A A B A 0
135 B B A C A 0
136 A A A A A 0
137 B B A A A 0
138 A A A A A 0
139 B B A B C 0
140 C C C A B 0
141 C C C C C 0
142 B C B A B 0
143 A A A A A 0
144 A A A A A 0
145 A A B B A 0
146 A A A B B 0
147 B B B B B 0
148 A C A B B 0
149 B C B A B 0
150 B C B B B 0
151 B C C B B 0
152 B C A A A 0
153 B A B B A 0
154 A A A A B 0
155 A A A A A 0
156 C C C B C 0
157 B B A A B 0
158 B B A C A 0
159 A C B B B 0
160 C B B B C 0
161 B A A B B 0
162 C C B C C 0
163 A A A B C 0
164 B B B C B 0
165 A A A A A 0
166 B C A B C 0
167 B A A B B 0
168 B C B C C 0
169 B B A A A 0
170 A A A A B 0
171 A B B B B 0
172 A A A A A 0
173 B C A B C 0
174 A A B B A 0
175 C A A B C 0
176 B B B B C 0
177 A B A B A 0
178 B B A A C 0
179 A B A B B 0
180 A B C A B 0
181 B A A B B 0
182 A A A A A 0
183 A A A B A 0
184 B A A B B 0
185 C A A A B 0
186 A A A A A 0
187 A B A A A 0
188 A A B A B 0
189 A A A B B 0
190 A B A B B 0
191 A A A A A 0
192 A A A A A 0
193 B A B B A 0
194 A B A A B 0
195 C B B B B 0
196 A B A C B 0
197 B A C A B 0
198 A C C C B 0
199 A A A A A 0
200 B B B C B 0
201 A A A A A 0
202 B B A C C 0
203 B B B B B 0
204 A B A A A 0
205 A A A C B 0
206 B C A B C 0
207 A A A A B 0
208 C B B C C 0
209 C C A B C 0
210 B C A C B 0
211 B A B B B 0
212 A A A A C 0
213 B B A B C 0
214 A B A B B 0
215 B A A B A 0
216 A A A A C 0
217 B B B B B 0
218 C B C B C 0
219 B C A B B 0
220 C C B C C 0
221 A A A B A 0
222 A A A A A 0
223 C C A B C 0
224 B C A B C 0
225 B C A B C 0
226 A A A A B 0
227 B A A B A 0
228 A B A A B 0
229 A A A A A 0
230 B A B B C 0
231 A A A A B 0
232 B C A C C 0
233 B A B C B 0
234 A C B A B 0
235 A B B B A 0
236 C C B B C 0
237 A A A A A 0
238 C C A B C 0
239 B A B A B 0
240 A A A A B 0
241 A A A B B 0
242 A A A B A 0
243 A B B B B 0
244 B A B C C 0
245 C C B C C 0
246 B C B C B 0
247 B C C C B 0
248 C B B B B 0
249 A A A A A 0
250 A A B B A 0
251 A B A A B 1
252 A A A A A 1
253 B B A B A 1
254 A B A A A 1
255 B B B A A 1
256 A A A B A 1
257 A C B A A 1
258 A A A A A 1
259 A A A A A 1
260 B B A A A 1
261 A A A A A 1
262 A C B A B 1
263 B A A A A 1
264 A C C B C 1
265 A B A A A 1
266 A A A A A 1
267 A A A A A 1
268 A A A B A 1
269 A A A A A 1
270 C C B C B 1
271 A A A A A 1
272 A B A B B 1
273 A A A A A 1
274 B B A A A 1
275 A A A A A 1
276 B C A A A 1
277 A A A A A 1
278 B A A A A 1
279 A A A A A 1
280 B C A C A 1
281 A B A A A 1
282 B C A B A 1
283 A A A A A 1
284 B B A B A 1
285 A B A A A 1
286 A A A A A 1
287 A A B A B 1
288 A B A A A 1
289 A B A B A 1
290 A A A A A 1
291 B B A B A 1
292 B C B C A 1
293 A B A C A 1
294 B B B C A 1
295 A A A A A 1
296 A A B B A 1
297 A A A A A 1
298 A A A A A 1
299 A A A A A 1
300 A A A B A 1
Code
genNLR(N = 300, itemtype = "nominal", a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 A A A A A 0
2 B B A A C 0
3 B B C B B 0
4 A B A A B 0
5 A B B A C 0
6 A B A B B 0
7 A B A B C 0
8 A A A B C 0
9 A B A A B 0
10 A B B B C 0
11 B B A B C 0
12 A B A A A 0
13 A A A A C 0
14 B B B B C 0
15 B B C C C 0
16 B B B C C 0
17 A B B A B 0
18 A B A A B 0
19 A A B A A 0
20 A A B B B 0
21 A B A B B 0
22 B B A B C 0
23 A B B A C 0
24 A B C B C 0
25 B B B B C 0
26 A A A B B 0
27 B B C B C 0
28 B B B B C 0
29 A A A B B 0
30 B B B B A 0
31 B B A A B 0
32 B B C B C 0
33 A B A A A 0
34 B B A B C 0
35 A B A B A 0
36 B B A B B 0
37 A B A B C 0
38 B B A B C 0
39 A B A A A 0
40 A B B B B 0
41 A A A A B 0
42 B B B A C 0
43 B A B C B 0
44 B B A A B 0
45 A A B A B 0
46 A B A A B 0
47 A B A C C 0
48 A A A B B 0
49 B B A A C 0
50 A B A A C 0
51 B B C A B 0
52 A B B A C 0
53 B B A A B 0
54 B B C C B 0
55 B B A C C 0
56 A A B B C 0
57 B B B B C 0
58 A B B C C 0
59 A A A A A 0
60 B B B A C 0
61 B B B B B 0
62 B B A C C 0
63 B A A B B 0
64 B A A B A 0
65 A B A B B 0
66 B B B C C 0
67 A A A A B 0
68 A B C A B 0
69 B B A A B 0
70 B B C A C 0
71 A B B B B 0
72 A B B B C 0
73 A B A A A 0
74 A B A A C 0
75 A B A B B 0
76 B B C C C 0
77 A B A A B 0
78 A B B B B 0
79 B B C B C 0
80 B B A A C 0
81 B B C A C 0
82 B B A A B 0
83 B B A A B 0
84 A A A A A 0
85 A A A A A 0
86 A B A B C 0
87 B A A A B 0
88 A B A B C 0
89 A A A A A 0
90 B B B B C 0
91 B B A B C 0
92 A B A A B 0
93 B A A A A 0
94 B B B A C 0
95 B B A C B 0
96 A A A A B 0
97 B A B A B 0
98 B B A B C 0
99 A B A A A 0
100 A A A B B 0
101 B B B C C 0
102 B B A A C 0
103 A B A A A 0
104 B B B C C 0
105 B B A A A 0
106 B A A C B 0
107 A B B B C 0
108 A A A A B 0
109 A A A A A 0
110 B A A B B 0
111 B B B B C 0
112 A B A A C 0
113 A A A A A 0
114 B B A B C 0
115 B B B A C 0
116 B B A A B 0
117 B B C C C 0
118 A B A A B 0
119 A B B A C 0
120 A B A A C 0
121 A A A A A 0
122 A B A A B 0
123 A B A A B 0
124 A B B B C 0
125 B A A A B 0
126 B B A A C 0
127 A B A A B 0
128 A B A A B 0
129 B B A C C 0
130 A A A A A 0
131 A A A A B 0
132 B B B A B 0
133 A A A A A 0
134 A A A A A 0
135 B B A B B 0
136 B B A A C 0
137 A B A A A 0
138 A B A B C 0
139 A B A A C 0
140 A B A A B 0
141 B B B B B 0
142 B B A B B 0
143 A B A B B 0
144 A B A C A 0
145 A B A A C 0
146 B B B B C 0
147 A B B A B 0
148 B A A A C 0
149 B B A A B 0
150 B B A B C 0
151 B B B A C 1
152 B B C B C 1
153 B B B A C 1
154 B B A B A 1
155 B B C B C 1
156 B B A B B 1
157 B B A C C 1
158 B B B B C 1
159 B B A A C 1
160 B B A B C 1
161 B B A B C 1
162 B A A A A 1
163 A B A A A 1
164 A A A A B 1
165 A A A A B 1
166 B B A A A 1
167 B B B B B 1
168 B B B A C 1
169 B B A B C 1
170 B A A A C 1
171 B B C A C 1
172 B A C C C 1
173 B B A B B 1
174 B B A B C 1
175 B B A A C 1
176 B B A C C 1
177 B A A A A 1
178 B B A B B 1
179 B B B A C 1
180 B B C C C 1
181 B B C C C 1
182 B B A B C 1
183 B B B A C 1
184 B A B A A 1
185 B A A A C 1
186 B B A A B 1
187 B A A A C 1
188 B B B C C 1
189 B B B C B 1
190 B B A B C 1
191 B B C B C 1
192 B B C B C 1
193 B B B C C 1
194 B A A A B 1
195 B B A B C 1
196 B A B B C 1
197 B A A B A 1
198 B B A A C 1
199 B B A B C 1
200 A B A A C 1
201 B A A C C 1
202 B B A B C 1
203 B B C B C 1
204 B B A C C 1
205 B A A A C 1
206 B B A B A 1
207 B B A B C 1
208 A B A A B 1
209 B B A A B 1
210 B A A A B 1
211 B B B A C 1
212 B B A A C 1
213 B B A A C 1
214 B A B B C 1
215 B B A A B 1
216 B B B B C 1
217 B A C B C 1
218 B B A A B 1
219 B B B B C 1
220 B B B C B 1
221 A B B A C 1
222 B B B B C 1
223 B B A A B 1
224 B B B A C 1
225 B B A A C 1
226 B B B B C 1
227 B A A A B 1
228 B B B A C 1
229 B A A A A 1
230 B B A A C 1
231 B B B B C 1
232 A B A A B 1
233 B B A B B 1
234 B A A C B 1
235 B B A A C 1
236 B A A A B 1
237 B A A A C 1
238 B B A A C 1
239 A A A A C 1
240 B A A A A 1
241 A B A A B 1
242 B A A A C 1
243 B B B B C 1
244 B A A A B 1
245 B B B A C 1
246 B B A A A 1
247 B B C C C 1
248 B B A C C 1
249 B A A B A 1
250 B B C C C 1
251 A B A A B 1
252 B B B A C 1
253 A B A A C 1
254 B B C C C 1
255 B B A A A 1
256 B B B B B 1
257 B B A C C 1
258 B B A B B 1
259 B B A A C 1
260 B B C C B 1
261 B B C C C 1
262 B B B A C 1
263 B B A A B 1
264 B A A B A 1
265 B A B A C 1
266 B B A C B 1
267 B A A A B 1
268 B B B A C 1
269 B B A A C 1
270 B B B A C 1
271 B A A A C 1
272 A B A A B 1
273 B B A B C 1
274 B A A B A 1
275 B B B B C 1
276 B A B A B 1
277 B B A A C 1
278 B A A A A 1
279 B A A A A 1
280 B B B C C 1
281 A A A B C 1
282 B B B B C 1
283 B B B B B 1
284 A B A A A 1
285 A B A A C 1
286 A A A A A 1
287 B A A A A 1
288 B B A A C 1
289 B B A A B 1
290 A B A A B 1
291 B B C B C 1
292 B B C A C 1
293 B B A B C 1
294 B B A A B 1
295 B B C C C 1
296 B B A A C 1
297 B B B C C 1
298 B B A B C 1
299 B B C C C 1
300 B B A B B 1
Code
genNLR(N = 300, itemtype = "nominal", ratio = 5, a = a, b = b)
Output
Item1 Item2 Item3 Item4 Item5 group
1 A B A A B 0
2 A B A B B 0
3 B B A A C 0
4 B B C B B 0
5 B A C B C 0
6 A A A B B 0
7 A B A A C 0
8 B B A C B 0
9 A B A B C 0
10 B B B B C 0
11 A B A C C 0
12 A B A A C 0
13 B B C C C 0
14 B B A A C 0
15 A B B B C 0
16 B B A B C 0
17 A B A A B 0
18 A A A A A 0
19 A B A A B 0
20 B B B B C 0
21 A B A A C 0
22 A B C C C 0
23 A B C B B 0
24 B B C C C 0
25 A B B A C 0
26 B B B B B 0
27 B B C B C 0
28 A B A A A 0
29 A B A B C 0
30 B B A C B 0
31 B B A A C 0
32 B B A A A 0
33 A B A A B 0
34 A B A A B 0
35 B B B B B 0
36 B B A B C 0
37 A B B B C 0
38 B B A B B 0
39 B B A A B 0
40 B B B B C 0
41 B B B B B 0
42 A B A B B 0
43 B B B C C 0
44 A A A A B 0
45 B B A A C 0
46 B B B C C 0
47 B B A A C 0
48 A A A A A 0
49 B B B C C 0
50 B B B C C 0
51 B B A A B 0
52 A B A A A 0
53 B B A A C 0
54 B A A A A 0
55 B A A B A 0
56 A B A B C 0
57 A A A B A 0
58 A B A A C 0
59 A B B A B 0
60 A A A A A 0
61 A A A A B 0
62 B B A B C 0
63 B B C B C 0
64 A B A A C 0
65 A B A A A 0
66 A B A A B 0
67 A B A A A 0
68 A B A B C 0
69 B B A A B 0
70 A B A A C 0
71 A B A A B 0
72 A B A B C 0
73 A B A A C 0
74 A B A A C 0
75 A B A A C 0
76 B B A A B 0
77 A B A B B 0
78 A B B B C 0
79 B B A A C 0
80 A A A A B 0
81 B B A A C 0
82 A A A A A 0
83 B B B B B 0
84 B B C B C 0
85 B B C B B 0
86 B B A A B 0
87 A B B A C 0
88 B B C A C 0
89 B B C C C 0
90 A A C B B 0
91 A B A A A 0
92 A A A A B 0
93 A B A B B 0
94 B B A A C 0
95 B B C A B 0
96 A A A A A 0
97 A A A A B 0
98 B B A A A 0
99 A B A A A 0
100 A A B A B 0
101 A A A A C 0
102 A B A A B 0
103 A B B A C 0
104 B B A A A 0
105 A B A A A 0
106 A B A C C 0
107 A B A B B 0
108 B B C B C 0
109 B B A A C 0
110 A A A B B 0
111 A B A A B 0
112 A B A A B 0
113 B B A C C 0
114 B A A A C 0
115 A B A A B 0
116 B B A B C 0
117 B B A B C 0
118 A B A A A 0
119 A B A A C 0
120 B B A B C 0
121 B B A B B 0
122 B B B A C 0
123 A A A A A 0
124 A A B A C 0
125 B B B B B 0
126 A B A A B 0
127 A B B A C 0
128 A B A A C 0
129 A A A B C 0
130 B B B B B 0
131 A B A A C 0
132 A A A A C 0
133 B B C C C 0
134 A B A B B 0
135 B B B B C 0
136 A B B B C 0
137 A A A B C 0
138 A A B A A 0
139 B B B A B 0
140 B A B A C 0
141 A B A B C 0
142 A A B B C 0
143 A B A A A 0
144 A A A A B 0
145 B B B B C 0
146 A B B A B 0
147 A A A A B 0
148 A B B A B 0
149 A A A A B 0
150 A B A B A 0
151 B A A A C 0
152 A A A B B 0
153 B B B B C 0
154 B A A A A 0
155 B B C A C 0
156 B B A A B 0
157 A A C A C 0
158 A B A A C 0
159 A A A A A 0
160 B B B B C 0
161 B B B B C 0
162 A B A B B 0
163 A B A B C 0
164 A A A A A 0
165 A B B A C 0
166 B B A A B 0
167 A B A B B 0
168 A B A B A 0
169 A A C B C 0
170 A B A B B 0
171 A B B A C 0
172 B B C B C 0
173 B B C A B 0
174 B B B A C 0
175 A B A A A 0
176 B B B B C 0
177 A B A A B 0
178 A B A A A 0
179 B B B B C 0
180 A B A A C 0
181 A B A B B 0
182 B B A B C 0
183 A B B A A 0
184 A B C A C 0
185 A B A B C 0
186 B B C C C 0
187 B B A A C 0
188 B B B C C 0
189 B B B A C 0
190 B B B A C 0
191 B B A A A 0
192 A B A A A 0
193 B A A A C 0
194 A B B C C 0
195 A B A A B 0
196 A A A A B 0
197 A B C B C 0
198 B B A B C 0
199 B B A A A 0
200 A B A A C 0
201 A B A B C 0
202 A B C A C 0
203 A A A B B 0
204 A B B B B 0
205 B B A A B 0
206 B B A B C 0
207 A B A B C 0
208 A A B C C 0
209 B B B A C 0
210 B B A A B 0
211 A B A B C 0
212 A B A A A 0
213 A B A A C 0
214 B B C B C 0
215 B B B B C 0
216 A B A A B 0
217 B B B B C 0
218 B A A A C 0
219 B B B B C 0
220 A B A A C 0
221 A B A A A 0
222 A B A C B 0
223 A B A A C 0
224 A A A A C 0
225 A B A A A 0
226 A B A A A 0
227 B B A A C 0
228 A B A B B 0
229 A B A B C 0
230 A B A A C 0
231 A B A B B 0
232 A B B B C 0
233 B B A B C 0
234 A B A B B 0
235 B B A C C 0
236 A B A A B 0
237 A B A A C 0
238 A B B B C 0
239 B B C B B 0
240 A A A A B 0
241 B B A B C 0
242 A B A A A 0
243 A B A C B 0
244 A B A B A 0
245 B B A B C 0
246 A B A A C 0
247 B B B B C 0
248 A A A A C 0
249 A B A B C 0
250 A B A A C 0
251 B B A B C 1
252 B B A A C 1
253 B B C B C 1
254 B B A A C 1
255 B A A B B 1
256 B B B A B 1
257 B B A C C 1
258 A B A C B 1
259 B B A B C 1
260 B B A B C 1
261 B A A B C 1
262 B A B A C 1
263 B B A B C 1
264 B B B C C 1
265 B B A A C 1
266 B B A C C 1
267 B B A C C 1
268 B B B B C 1
269 B B B A C 1
270 B A A A C 1
271 B B A A B 1
272 B A A A C 1
273 B B B C C 1
274 B B B B C 1
275 B B A C C 1
276 B A B A B 1
277 B B A B B 1
278 B A A B C 1
279 B B A A C 1
280 B B A A C 1
281 B B A B C 1
282 B B A B C 1
283 B A A A A 1
284 B B A A C 1
285 B B A B C 1
286 B B C B C 1
287 B A A B B 1
288 B B C B C 1
289 B B C A C 1
290 B B A A A 1
291 A B B B C 1
292 B B A B B 1
293 B B A A B 1
294 A A A A B 1
295 B B A B C 1
296 A B A A B 1
297 B B A B A 1
298 B B A A B 1
299 B A A B C 1
300 A B A A C 1
genNLR - further examples
Code
(df1 <- genNLR(N = 300, a = a, b = b, c = c, d = d))
Output
Item1 Item2 Item3 Item4 Item5 group
1 1 1 1 1 0 0
2 1 0 1 1 1 0
3 1 0 0 1 1 0
4 1 1 0 0 0 0
5 1 1 0 1 1 0
6 1 1 0 1 1 0
7 1 0 0 1 0 0
8 0 1 0 0 0 0
9 1 1 0 0 1 0
10 1 0 0 0 0 0
11 1 1 0 1 1 0
12 1 1 1 0 1 0
13 1 0 0 0 0 0
14 0 1 0 0 0 0
15 1 0 0 0 0 0
16 1 0 0 1 1 0
17 1 1 0 1 1 0
18 0 0 0 0 0 0
19 0 1 0 1 1 0
20 1 0 1 0 0 0
21 0 1 0 0 1 0
22 1 0 0 0 0 0
23 0 0 0 0 0 0
24 1 1 1 0 1 0
25 1 0 1 1 0 0
26 1 0 0 0 0 0
27 1 1 0 1 1 0
28 1 1 0 0 0 0
29 1 0 1 0 0 0
30 1 0 0 1 1 0
31 1 0 0 0 0 0
32 1 0 0 1 0 0
33 1 0 0 0 0 0
34 1 1 0 1 1 0
35 1 0 0 1 1 0
36 1 1 0 1 1 0
37 0 1 0 1 1 0
38 1 1 0 0 1 0
39 1 1 1 1 1 0
40 1 0 0 0 1 0
41 1 1 0 0 0 0
42 1 0 0 1 0 0
43 0 0 0 0 0 0
44 1 1 1 1 1 0
45 1 1 1 1 1 0
46 1 0 0 0 0 0
47 1 0 0 0 1 0
48 1 0 0 0 0 0
49 1 1 0 1 1 0
50 1 0 0 1 1 0
51 1 0 1 0 0 0
52 0 0 0 0 0 0
53 1 1 0 0 1 0
54 1 1 0 1 1 0
55 1 0 0 0 1 0
56 1 0 1 1 1 0
57 0 0 0 0 1 0
58 1 1 0 1 1 0
59 1 0 1 0 0 0
60 1 1 0 0 0 0
61 1 1 0 0 1 0
62 1 0 0 0 1 0
63 1 0 0 1 0 0
64 1 0 0 0 1 0
65 1 1 0 0 0 0
66 1 0 0 1 1 0
67 0 1 0 1 1 0
68 1 0 1 1 0 0
69 1 0 0 1 1 0
70 1 1 0 0 1 0
71 1 1 0 0 0 0
72 0 0 0 0 0 0
73 1 0 0 0 1 0
74 1 0 0 0 0 0
75 1 0 1 0 0 0
76 1 1 0 0 0 0
77 1 1 0 0 0 0
78 1 0 0 0 0 0
79 1 1 0 0 0 0
80 1 0 0 0 1 0
81 1 0 0 1 0 0
82 1 0 1 1 1 0
83 1 1 0 0 0 0
84 1 1 1 1 1 0
85 0 1 0 1 0 0
86 1 0 0 0 0 0
87 1 1 1 1 1 0
88 1 1 0 1 1 0
89 1 0 0 0 0 0
90 1 1 0 1 1 0
91 1 1 1 0 1 0
92 1 1 0 0 0 0
93 1 0 0 0 1 0
94 1 0 1 0 1 0
95 1 1 0 1 0 0
96 1 1 0 0 0 0
97 1 1 0 1 1 0
98 1 1 1 1 1 0
99 1 1 1 1 0 0
100 1 0 0 0 0 0
101 0 0 0 0 0 0
102 1 0 0 1 1 0
103 1 0 0 0 0 0
104 1 1 1 1 1 0
105 1 1 0 1 0 0
106 1 0 0 0 1 0
107 1 1 0 1 0 0
108 1 0 0 0 0 0
109 1 0 0 0 1 0
110 1 1 0 1 1 0
111 1 0 0 0 0 0
112 1 1 0 0 1 0
113 0 0 1 0 0 0
114 1 0 0 1 0 0
115 1 1 1 0 1 0
116 1 0 0 1 1 0
117 1 1 1 1 1 0
118 1 0 0 0 0 0
119 0 0 0 0 1 0
120 1 0 0 0 0 0
121 1 0 1 0 0 0
122 1 1 0 0 0 0
123 1 0 1 0 1 0
124 1 0 0 1 0 0
125 1 1 0 1 1 0
126 1 0 0 1 0 0
127 1 0 0 0 1 0
128 1 0 0 0 1 0
129 0 0 0 0 0 0
130 1 0 0 1 0 0
131 1 1 0 1 1 0
132 1 1 0 1 1 0
133 1 0 0 0 1 0
134 0 0 0 0 0 0
135 1 0 0 1 0 0
136 1 1 0 0 1 0
137 0 0 0 0 0 0
138 0 1 1 1 1 0
139 1 1 0 1 1 0
140 1 0 0 0 0 0
141 0 0 0 1 1 0
142 1 1 0 1 0 0
143 1 0 0 0 0 0
144 1 0 0 1 0 0
145 1 0 0 0 0 0
146 1 0 1 1 1 0
147 0 0 0 0 0 0
148 1 1 0 0 1 0
149 1 0 1 1 1 0
150 0 1 0 0 0 0
151 1 0 0 1 1 1
152 1 0 0 0 1 1
153 1 0 0 1 1 1
154 1 0 0 0 0 1
155 1 0 0 0 1 1
156 1 0 0 0 0 1
157 1 0 0 1 1 1
158 0 0 1 1 1 1
159 1 1 0 1 1 1
160 1 1 0 1 0 1
161 1 1 1 0 0 1
162 1 0 0 0 0 1
163 1 0 1 0 0 1
164 1 1 1 1 1 1
165 1 0 0 1 0 1
166 1 0 0 1 1 1
167 1 1 0 0 1 1
168 1 0 0 0 0 1
169 1 0 0 1 0 1
170 1 1 0 1 1 1
171 0 1 0 0 0 1
172 1 1 0 1 0 1
173 1 1 0 0 1 1
174 1 1 0 1 1 1
175 1 0 0 0 1 1
176 1 0 1 0 0 1
177 1 0 0 0 1 1
178 1 1 1 0 1 1
179 1 1 0 0 0 1
180 1 0 0 0 0 1
181 1 0 0 0 0 1
182 1 1 0 1 1 1
183 1 0 1 1 0 1
184 1 0 0 0 0 1
185 1 1 1 0 1 1
186 1 0 0 0 0 1
187 1 1 0 1 1 1
188 1 0 1 1 1 1
189 1 0 0 0 1 1
190 0 0 0 1 0 1
191 0 0 1 1 1 1
192 1 0 0 0 0 1
193 1 0 0 0 0 1
194 1 0 0 1 0 1
195 0 0 0 1 0 1
196 1 1 0 0 1 1
197 1 0 0 0 1 1
198 1 0 0 0 0 1
199 1 0 0 0 0 1
200 1 0 0 0 0 1
201 1 1 1 1 1 1
202 1 1 0 1 1 1
203 1 0 0 0 0 1
204 1 0 0 0 1 1
205 1 1 0 1 0 1
206 0 0 0 1 0 1
207 1 0 0 0 0 1
208 1 1 1 0 0 1
209 1 0 1 0 1 1
210 1 1 1 1 1 1
211 1 0 0 0 0 1
212 1 0 1 1 1 1
213 1 1 1 1 1 1
214 0 0 0 1 0 1
215 0 0 0 0 1 1
216 1 1 0 0 1 1
217 1 0 0 0 1 1
218 1 1 0 0 0 1
219 1 0 0 1 0 1
220 1 0 0 0 0 1
221 1 0 1 1 1 1
222 1 1 0 1 1 1
223 1 1 0 1 0 1
224 0 1 1 1 1 1
225 1 0 0 0 0 1
226 1 0 0 1 1 1
227 1 1 0 0 0 1
228 1 0 1 0 0 1
229 1 1 1 1 1 1
230 1 0 0 0 0 1
231 1 1 0 0 1 1
232 1 1 0 0 0 1
233 1 0 1 1 1 1
234 1 0 1 1 0 1
235 1 1 0 1 0 1
236 1 0 0 0 0 1
237 1 0 0 0 0 1
238 1 1 1 0 0 1
239 1 1 0 0 0 1
240 1 0 0 1 0 1
241 0 1 0 0 0 1
242 1 0 0 1 0 1
243 1 1 0 1 1 1
244 1 1 0 0 0 1
245 1 0 0 0 0 1
246 1 1 0 1 1 1
247 0 1 0 1 0 1
248 1 0 0 0 0 1
249 1 0 0 1 0 1
250 1 1 0 1 1 1
251 1 1 0 1 1 1
252 1 0 0 1 0 1
253 0 1 0 1 1 1
254 1 1 0 1 1 1
255 1 1 1 0 1 1
256 1 0 1 0 1 1
257 1 1 0 0 1 1
258 1 0 1 1 1 1
259 1 0 1 0 0 1
260 0 0 0 1 0 1
261 1 0 1 0 0 1
262 1 0 0 0 1 1
263 1 0 1 0 0 1
264 1 1 0 1 1 1
265 1 1 1 1 1 1
266 1 1 1 0 1 1
267 1 1 1 1 1 1
268 1 0 0 0 0 1
269 1 0 0 1 1 1
270 1 1 0 1 0 1
271 1 1 1 1 1 1
272 1 1 0 1 0 1
273 1 1 1 1 1 1
274 1 1 0 0 0 1
275 1 1 0 1 1 1
276 1 0 0 0 1 1
277 1 0 0 0 1 1
278 1 0 1 0 1 1
279 1 1 1 0 0 1
280 1 1 1 0 1 1
281 1 0 0 0 0 1
282 1 1 0 1 1 1
283 1 0 1 0 1 1
284 1 1 1 0 0 1
285 1 1 1 0 1 1
286 0 0 0 0 1 1
287 1 1 1 0 1 1
288 1 1 1 1 0 1
289 1 1 0 1 1 1
290 1 1 1 1 1 1
291 1 1 0 1 1 1
292 1 1 0 1 1 1
293 1 1 1 1 1 1
294 1 1 0 1 0 1
295 1 1 1 1 1 1
296 1 0 1 0 0 1
297 1 0 0 1 1 1
298 1 0 0 1 0 1
299 1 1 0 1 1 1
300 1 1 0 1 1 1
Code
(df2 <- genNLR(N = 300, a = a, b = b, c = c, d = d))
Output
Item1 Item2 Item3 Item4 Item5 group
1 1 1 1 1 0 0
2 1 0 1 1 1 0
3 1 0 0 1 1 0
4 1 1 0 0 0 0
5 1 1 0 1 1 0
6 1 1 0 1 1 0
7 1 0 0 1 0 0
8 0 1 0 0 0 0
9 1 1 0 0 1 0
10 1 0 0 0 0 0
11 1 1 0 1 1 0
12 1 1 1 0 1 0
13 1 0 0 0 0 0
14 0 1 0 0 0 0
15 1 0 0 0 0 0
16 1 0 0 1 1 0
17 1 1 0 1 1 0
18 0 0 0 0 0 0
19 0 1 0 1 1 0
20 1 0 1 0 0 0
21 0 1 0 0 1 0
22 1 0 0 0 0 0
23 0 0 0 0 0 0
24 1 1 1 0 1 0
25 1 0 1 1 0 0
26 1 0 0 0 0 0
27 1 1 0 1 1 0
28 1 1 0 0 0 0
29 1 0 1 0 0 0
30 1 0 0 1 1 0
31 1 0 0 0 0 0
32 1 0 0 1 0 0
33 1 0 0 0 0 0
34 1 1 0 1 1 0
35 1 0 0 1 1 0
36 1 1 0 1 1 0
37 0 1 0 1 1 0
38 1 1 0 0 1 0
39 1 1 1 1 1 0
40 1 0 0 0 1 0
41 1 1 0 0 0 0
42 1 0 0 1 0 0
43 0 0 0 0 0 0
44 1 1 1 1 1 0
45 1 1 1 1 1 0
46 1 0 0 0 0 0
47 1 0 0 0 1 0
48 1 0 0 0 0 0
49 1 1 0 1 1 0
50 1 0 0 1 1 0
51 1 0 1 0 0 0
52 0 0 0 0 0 0
53 1 1 0 0 1 0
54 1 1 0 1 1 0
55 1 0 0 0 1 0
56 1 0 1 1 1 0
57 0 0 0 0 1 0
58 1 1 0 1 1 0
59 1 0 1 0 0 0
60 1 1 0 0 0 0
61 1 1 0 0 1 0
62 1 0 0 0 1 0
63 1 0 0 1 0 0
64 1 0 0 0 1 0
65 1 1 0 0 0 0
66 1 0 0 1 1 0
67 0 1 0 1 1 0
68 1 0 1 1 0 0
69 1 0 0 1 1 0
70 1 1 0 0 1 0
71 1 1 0 0 0 0
72 0 0 0 0 0 0
73 1 0 0 0 1 0
74 1 0 0 0 0 0
75 1 0 1 0 0 0
76 1 1 0 0 0 0
77 1 1 0 0 0 0
78 1 0 0 0 0 0
79 1 1 0 0 0 0
80 1 0 0 0 1 0
81 1 0 0 1 0 0
82 1 0 1 1 1 0
83 1 1 0 0 0 0
84 1 1 1 1 1 0
85 0 1 0 1 0 0
86 1 0 0 0 0 0
87 1 1 1 1 1 0
88 1 1 0 1 1 0
89 1 0 0 0 0 0
90 1 1 0 1 1 0
91 1 1 1 0 1 0
92 1 1 0 0 0 0
93 1 0 0 0 1 0
94 1 0 1 0 1 0
95 1 1 0 1 0 0
96 1 1 0 0 0 0
97 1 1 0 1 1 0
98 1 1 1 1 1 0
99 1 1 1 1 0 0
100 1 0 0 0 0 0
101 0 0 0 0 0 0
102 1 0 0 1 1 0
103 1 0 0 0 0 0
104 1 1 1 1 1 0
105 1 1 0 1 0 0
106 1 0 0 0 1 0
107 1 1 0 1 0 0
108 1 0 0 0 0 0
109 1 0 0 0 1 0
110 1 1 0 1 1 0
111 1 0 0 0 0 0
112 1 1 0 0 1 0
113 0 0 1 0 0 0
114 1 0 0 1 0 0
115 1 1 1 0 1 0
116 1 0 0 1 1 0
117 1 1 1 1 1 0
118 1 0 0 0 0 0
119 0 0 0 0 1 0
120 1 0 0 0 0 0
121 1 0 1 0 0 0
122 1 1 0 0 0 0
123 1 0 1 0 1 0
124 1 0 0 1 0 0
125 1 1 0 1 1 0
126 1 0 0 1 0 0
127 1 0 0 0 1 0
128 1 0 0 0 1 0
129 0 0 0 0 0 0
130 1 0 0 1 0 0
131 1 1 0 1 1 0
132 1 1 0 1 1 0
133 1 0 0 0 1 0
134 0 0 0 0 0 0
135 1 0 0 1 0 0
136 1 1 0 0 1 0
137 0 0 0 0 0 0
138 0 1 1 1 1 0
139 1 1 0 1 1 0
140 1 0 0 0 0 0
141 0 0 0 1 1 0
142 1 1 0 1 0 0
143 1 0 0 0 0 0
144 1 0 0 1 0 0
145 1 0 0 0 0 0
146 1 0 1 1 1 0
147 0 0 0 0 0 0
148 1 1 0 0 1 0
149 1 0 1 1 1 0
150 0 1 0 0 0 0
151 1 0 0 1 1 1
152 1 0 0 0 1 1
153 1 0 0 1 1 1
154 1 0 0 0 0 1
155 1 0 0 0 1 1
156 1 0 0 0 0 1
157 1 0 0 1 1 1
158 0 0 1 1 1 1
159 1 1 0 1 1 1
160 1 1 0 1 0 1
161 1 1 1 0 0 1
162 1 0 0 0 0 1
163 1 0 1 0 0 1
164 1 1 1 1 1 1
165 1 0 0 1 0 1
166 1 0 0 1 1 1
167 1 1 0 0 1 1
168 1 0 0 0 0 1
169 1 0 0 1 0 1
170 1 1 0 1 1 1
171 0 1 0 0 0 1
172 1 1 0 1 0 1
173 1 1 0 0 1 1
174 1 1 0 1 1 1
175 1 0 0 0 1 1
176 1 0 1 0 0 1
177 1 0 0 0 1 1
178 1 1 1 0 1 1
179 1 1 0 0 0 1
180 1 0 0 0 0 1
181 1 0 0 0 0 1
182 1 1 0 1 1 1
183 1 0 1 1 0 1
184 1 0 0 0 0 1
185 1 1 1 0 1 1
186 1 0 0 0 0 1
187 1 1 0 1 1 1
188 1 0 1 1 1 1
189 1 0 0 0 1 1
190 0 0 0 1 0 1
191 0 0 1 1 1 1
192 1 0 0 0 0 1
193 1 0 0 0 0 1
194 1 0 0 1 0 1
195 0 0 0 1 0 1
196 1 1 0 0 1 1
197 1 0 0 0 1 1
198 1 0 0 0 0 1
199 1 0 0 0 0 1
200 1 0 0 0 0 1
201 1 1 1 1 1 1
202 1 1 0 1 1 1
203 1 0 0 0 0 1
204 1 0 0 0 1 1
205 1 1 0 1 0 1
206 0 0 0 1 0 1
207 1 0 0 0 0 1
208 1 1 1 0 0 1
209 1 0 1 0 1 1
210 1 1 1 1 1 1
211 1 0 0 0 0 1
212 1 0 1 1 1 1
213 1 1 1 1 1 1
214 0 0 0 1 0 1
215 0 0 0 0 1 1
216 1 1 0 0 1 1
217 1 0 0 0 1 1
218 1 1 0 0 0 1
219 1 0 0 1 0 1
220 1 0 0 0 0 1
221 1 0 1 1 1 1
222 1 1 0 1 1 1
223 1 1 0 1 0 1
224 0 1 1 1 1 1
225 1 0 0 0 0 1
226 1 0 0 1 1 1
227 1 1 0 0 0 1
228 1 0 1 0 0 1
229 1 1 1 1 1 1
230 1 0 0 0 0 1
231 1 1 0 0 1 1
232 1 1 0 0 0 1
233 1 0 1 1 1 1
234 1 0 1 1 0 1
235 1 1 0 1 0 1
236 1 0 0 0 0 1
237 1 0 0 0 0 1
238 1 1 1 0 0 1
239 1 1 0 0 0 1
240 1 0 0 1 0 1
241 0 1 0 0 0 1
242 1 0 0 1 0 1
243 1 1 0 1 1 1
244 1 1 0 0 0 1
245 1 0 0 0 0 1
246 1 1 0 1 1 1
247 0 1 0 1 0 1
248 1 0 0 0 0 1
249 1 0 0 1 0 1
250 1 1 0 1 1 1
251 1 1 0 1 1 1
252 1 0 0 1 0 1
253 0 1 0 1 1 1
254 1 1 0 1 1 1
255 1 1 1 0 1 1
256 1 0 1 0 1 1
257 1 1 0 0 1 1
258 1 0 1 1 1 1
259 1 0 1 0 0 1
260 0 0 0 1 0 1
261 1 0 1 0 0 1
262 1 0 0 0 1 1
263 1 0 1 0 0 1
264 1 1 0 1 1 1
265 1 1 1 1 1 1
266 1 1 1 0 1 1
267 1 1 1 1 1 1
268 1 0 0 0 0 1
269 1 0 0 1 1 1
270 1 1 0 1 0 1
271 1 1 1 1 1 1
272 1 1 0 1 0 1
273 1 1 1 1 1 1
274 1 1 0 0 0 1
275 1 1 0 1 1 1
276 1 0 0 0 1 1
277 1 0 0 0 1 1
278 1 0 1 0 1 1
279 1 1 1 0 0 1
280 1 1 1 0 1 1
281 1 0 0 0 0 1
282 1 1 0 1 1 1
283 1 0 1 0 1 1
284 1 1 1 0 0 1
285 1 1 1 0 1 1
286 0 0 0 0 1 1
287 1 1 1 0 1 1
288 1 1 1 1 0 1
289 1 1 0 1 1 1
290 1 1 1 1 1 1
291 1 1 0 1 1 1
292 1 1 0 1 1 1
293 1 1 1 1 1 1
294 1 1 0 1 0 1
295 1 1 1 1 1 1
296 1 0 1 0 0 1
297 1 0 0 1 1 1
298 1 0 0 1 0 1
299 1 1 0 1 1 1
300 1 1 0 1 1 1
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