mixgroup: Construct Grouped Data from Raw Data
In mixdist: Finite Mixture Distribution Models
Description
Usage
Arguments
Value
See Also
Examples
Description
Group raw data in the form of numbers of observations
over successive intervals.
Usage
1
Arguments
x
a data frame or matrix containing raw data, whose
first column should be the measurements to be grouped, and
second column, if available, includes the numbers indicating
which component each individual belongs to.
breaks
one of:
* a vector giving the boundaries of intervals
which raw data are grouped into,
* a single number giving the number of intervals,
* a character string naming an algorithm to
compute the number of intervals,
* a function to compute the number of intervals.
In the last three cases the number is a suggestion only.
xname
the name of measurement.
k
the number of components.
usecondit
if usecondit is TRUE and x has two
columns, then conditional data will be displayed with grouped data.
Value
A data frame containing grouped data derived from raw data,
whose first column includes the right boundaries of grouping
intervals, where the first and last intervals are open-ended;
whose second column consists of the frequencies which are
the numbers of observations falling into each interval. If
usecondit is TRUE and the numbers indicating which
component the individual comes from are available, conditional
data which can be regarded as a table, whose element in row j
and column i is the number of observations from the jth
interval belonging to the ith component, will be displayed
with grouped data.
See Also
hist for more information about the argument
breaks, is.mixdata for checking the class of
data sets, mixparam for organizing the parameter
values, mixconstr for constructing constraints.
Examples
1
2
3
4
5
6
7
8
9
10
data(pikeraw) # load raw data `pikeraw'
pikeraw # display the data set `pikeraw'
mixgroup(pikeraw) # group raw data
pikemd <- mixgroup(pikeraw, breaks = c(0, seq(19.75, 65.75, 2), 80))
plot(pikemd)
mixgroup(pikeraw, breaks = c(0, seq(19.75, 65.75, 2), 80), usecondit = TRUE, k = 5)
# construct grouped data associated with conditional data
mixgroup(pikeraw, usecondit = TRUE)
mixgroup(pikeraw, usecondit = TRUE, k = 3) # grouping data with a warning message
mixgroup(pikeraw, usecondit = TRUE, k = 8)
Example output
length age
1 18.0 1
2 19.0 1
3 19.5 1
4 19.5 1
5 20.0 1
6 20.0 1
7 20.5 1
8 21.0 1
9 21.0 1
10 21.0 1
11 21.5 1
12 21.5 1
13 21.5 1
14 21.5 1
15 22.0 1
16 22.5 1
17 22.5 1
18 22.5 1
19 22.5 1
20 22.5 1
21 22.5 1
22 22.5 1
23 22.5 1
24 22.5 1
25 23.0 1
26 23.0 1
27 23.0 1
28 23.0 1
29 23.0 1
30 23.5 1
31 23.5 1
32 23.5 1
33 23.5 1
34 23.5 1
35 23.5 1
36 24.0 1
37 24.0 1
38 24.0 1
39 24.0 1
40 24.0 1
41 24.5 1
42 24.5 1
43 25.0 1
44 25.0 1
45 26.0 1
46 26.0 1
47 26.0 1
48 26.5 1
49 26.5 1
50 27.0 1
51 27.5 1
52 27.5 1
53 28.0 1
54 28.5 1
55 28.5 1
56 25.0 2
57 25.5 2
58 26.5 2
59 26.5 2
60 26.5 2
61 27.0 2
62 27.5 2
63 27.5 2
64 28.0 2
65 28.0 2
66 28.0 2
67 28.0 2
68 28.0 2
69 28.0 2
70 28.0 2
71 28.0 2
72 28.5 2
73 28.5 2
74 29.0 2
75 29.0 2
76 29.0 2
77 29.0 2
78 29.0 2
79 29.0 2
80 29.0 2
81 29.0 2
82 29.5 2
83 29.5 2
84 29.5 2
85 29.5 2
86 29.5 2
87 29.5 2
88 29.5 2
89 29.5 2
90 29.5 2
91 29.5 2
92 30.0 2
93 30.0 2
94 30.0 2
95 30.0 2
96 30.0 2
97 30.0 2
98 30.0 2
99 30.0 2
100 30.0 2
101 30.0 2
102 30.5 2
103 30.5 2
104 30.5 2
105 30.5 2
106 30.5 2
107 30.5 2
108 30.5 2
109 30.5 2
110 30.5 2
111 30.5 2
112 30.5 2
113 31.0 2
114 31.0 2
115 31.0 2
116 31.0 2
117 31.0 2
118 31.0 2
119 31.0 2
120 31.5 2
121 31.5 2
122 31.5 2
123 31.5 2
124 31.5 2
125 31.5 2
126 31.5 2
127 31.5 2
128 31.5 2
129 31.5 2
130 32.0 2
131 32.0 2
132 32.0 2
133 32.0 2
134 32.0 2
135 32.0 2
136 32.0 2
137 32.0 2
138 32.0 2
139 32.0 2
140 32.0 2
141 32.0 2
142 32.0 2
143 32.5 2
144 32.5 2
145 32.5 2
146 32.5 2
147 32.5 2
148 32.5 2
149 32.5 2
150 32.5 2
151 32.5 2
152 32.5 2
153 32.5 2
154 32.5 2
155 32.5 2
156 32.5 2
157 32.5 2
158 32.5 2
159 32.5 2
160 33.0 2
161 33.0 2
162 33.0 2
163 33.0 2
164 33.0 2
165 33.0 2
166 33.0 2
167 33.0 2
168 33.0 2
169 33.0 2
170 33.0 2
171 33.0 2
172 33.0 2
173 33.0 2
174 33.0 2
175 33.0 2
176 33.0 2
177 33.0 2
178 33.0 2
179 33.0 2
180 33.0 2
181 33.0 2
182 33.5 2
183 33.5 2
184 33.5 2
185 33.5 2
186 33.5 2
187 33.5 2
188 33.5 2
189 33.5 2
190 33.5 2
191 33.5 2
192 33.5 2
193 33.5 2
194 33.5 2
195 33.5 2
196 33.5 2
197 33.5 2
198 34.0 2
199 34.0 2
200 34.0 2
201 34.0 2
202 34.0 2
203 34.0 2
204 34.0 2
205 34.0 2
206 34.0 2
207 34.0 2
208 34.0 2
209 34.0 2
210 34.0 2
211 34.0 2
212 34.5 2
213 34.5 2
214 34.5 2
215 34.5 2
216 34.5 2
217 34.5 2
218 34.5 2
219 34.5 2
220 34.5 2
221 34.5 2
222 34.5 2
223 34.5 2
224 34.5 2
225 34.5 2
226 34.5 2
227 34.5 2
228 35.0 2
229 35.0 2
230 35.0 2
231 35.0 2
232 35.0 2
233 35.0 2
234 35.0 2
235 35.0 2
236 35.0 2
237 35.0 2
238 35.0 2
239 35.0 2
240 35.0 2
241 35.0 2
242 35.0 2
243 35.0 2
244 35.0 2
245 35.0 2
246 35.0 2
247 35.5 2
248 35.5 2
249 35.5 2
250 35.5 2
251 35.5 2
252 35.5 2
253 35.5 2
254 35.5 2
255 35.5 2
256 35.5 2
257 35.5 2
258 35.5 2
259 35.5 2
260 35.5 2
261 36.0 2
262 36.0 2
263 36.5 2
264 36.5 2
265 36.5 2
266 36.5 2
267 36.5 2
268 36.5 2
269 36.5 2
270 37.0 2
271 37.0 2
272 37.0 2
273 37.0 2
274 37.0 2
275 37.5 2
276 37.5 2
277 37.5 2
278 37.5 2
279 37.5 2
280 37.5 2
281 37.5 2
282 37.5 2
283 37.5 2
284 38.0 2
285 38.0 2
286 38.0 2
287 38.0 2
288 38.0 2
289 38.0 2
290 38.5 2
291 38.5 2
292 38.5 2
293 39.0 2
294 39.5 2
295 39.5 2
296 39.5 2
297 40.5 2
298 41.5 2
299 31.0 3
300 32.0 3
301 32.5 3
302 34.5 3
303 35.0 3
304 35.5 3
305 35.5 3
306 35.5 3
307 35.5 3
308 35.5 3
309 35.5 3
310 36.0 3
311 36.0 3
312 36.0 3
313 36.5 3
314 36.5 3
315 36.5 3
316 36.5 3
317 36.5 3
318 37.0 3
319 37.0 3
320 37.0 3
321 37.0 3
322 37.0 3
323 37.5 3
324 37.5 3
325 37.5 3
326 37.5 3
327 37.5 3
328 37.5 3
329 37.5 3
330 37.5 3
331 38.0 3
332 38.0 3
333 38.0 3
334 38.5 3
335 38.5 3
336 38.5 3
337 38.5 3
338 38.5 3
339 38.5 3
340 38.5 3
341 38.5 3
342 39.0 3
343 39.0 3
344 39.0 3
345 39.0 3
346 39.0 3
347 39.0 3
348 39.0 3
349 39.0 3
350 39.0 3
351 39.0 3
352 39.0 3
353 39.5 3
354 39.5 3
355 39.5 3
356 39.5 3
357 39.5 3
358 39.5 3
359 39.5 3
360 40.0 3
361 40.0 3
362 40.0 3
363 40.0 3
364 40.0 3
365 40.0 3
366 40.0 3
367 40.0 3
368 40.0 3
369 40.0 3
370 40.0 3
371 40.0 3
372 40.5 3
373 40.5 3
374 40.5 3
375 40.5 3
376 40.5 3
377 40.5 3
378 41.0 3
379 41.0 3
380 41.0 3
381 41.0 3
382 41.0 3
383 41.0 3
384 41.0 3
385 41.0 3
386 41.0 3
387 41.0 3
388 41.0 3
389 41.5 3
390 41.5 3
391 41.5 3
392 41.5 3
393 41.5 3
394 42.0 3
395 42.0 3
396 42.0 3
397 42.0 3
398 42.5 3
399 42.5 3
400 42.5 3
401 42.5 3
402 42.5 3
403 42.5 3
404 42.5 3
405 42.5 3
406 42.5 3
407 42.5 3
408 43.0 3
409 43.0 3
410 43.0 3
411 43.0 3
412 43.0 3
413 43.5 3
414 43.5 3
415 43.5 3
416 43.5 3
417 44.0 3
418 44.0 3
419 44.0 3
420 44.0 3
421 44.5 3
422 44.5 3
423 44.5 3
424 44.5 3
425 45.0 3
426 45.0 3
427 45.0 3
428 45.0 3
429 45.0 3
430 45.0 3
431 45.5 3
432 45.5 3
433 46.0 3
434 46.5 3
435 46.5 3
436 46.5 3
437 46.5 3
438 47.0 3
439 47.5 3
440 48.0 3
441 48.0 3
442 48.0 3
443 48.5 3
444 48.5 3
445 48.5 3
446 50.0 3
447 50.0 3
448 50.5 3
449 51.0 3
450 51.5 3
451 52.0 3
452 52.5 3
453 52.5 3
454 53.0 3
455 44.5 4
456 44.5 4
457 44.5 4
458 45.0 4
459 45.5 4
460 45.5 4
461 46.0 4
462 46.0 4
463 46.0 4
464 47.0 4
465 47.0 4
466 47.5 4
467 47.5 4
468 47.5 4
469 47.5 4
470 47.5 4
471 48.0 4
472 48.5 4
473 48.5 4
474 48.5 4
475 49.5 4
476 50.0 4
477 50.0 4
478 50.5 4
479 51.0 4
480 51.5 4
481 51.5 4
482 51.5 4
483 52.0 4
484 52.5 4
485 53.0 4
486 53.5 4
487 54.0 4
488 54.5 4
489 55.0 4
490 55.0 4
491 55.0 4
492 55.5 4
493 55.5 4
494 55.5 4
495 56.0 4
496 56.0 4
497 58.5 4
498 61.0 4
499 61.0 4
500 62.5 4
501 64.5 4
502 49.5 5
503 52.0 5
504 52.0 5
505 53.5 5
506 56.5 5
507 58.5 5
508 58.5 5
509 58.5 5
510 59.0 5
511 59.5 5
512 60.0 5
513 61.0 5
514 61.0 5
515 61.0 5
516 62.5 5
517 62.5 5
518 65.0 5
519 67.5 5
520 68.5 5
521 71.0 5
522 75.0 5
523 76.5 5
length count
1 20 6
2 25 39
3 30 56
4 35 150
5 40 118
6 45 65
7 50 37
8 55 24
9 60 13
10 65 10
11 70 2
12 75 2
13 Inf 1
length count C1 C2 C3 C4 C5
1 19.75 4 4 0 0 0 0
2 21.75 10 10 0 0 0 0
3 23.75 21 21 0 0 0 0
4 25.75 11 9 2 0 0 0
5 27.75 14 8 6 0 0 0
6 29.75 31 3 28 0 0 0
7 31.75 39 0 38 1 0 0
8 33.75 70 0 68 2 0 0
9 35.75 71 0 63 8 0 0
10 37.75 44 0 23 21 0 0
11 39.75 42 0 13 29 0 0
12 41.75 36 0 2 34 0 0
13 43.75 23 0 0 23 0 0
14 45.75 22 0 0 16 6 0
15 47.75 17 0 0 7 10 0
16 49.75 12 0 0 6 5 1
17 51.75 12 0 0 5 7 0
18 53.75 11 0 0 4 4 3
19 55.75 8 0 0 0 8 0
20 57.75 3 0 0 0 2 1
21 59.75 6 0 0 0 1 5
22 61.75 6 0 0 0 2 4
23 63.75 3 0 0 0 1 2
24 65.75 2 0 0 0 1 1
25 Inf 5 0 0 0 0 5
length count C1 C2 C3 C4 C5
1 20 6 6 0 0 0 0
2 25 39 38 1 0 0 0
3 30 56 11 45 0 0 0
4 35 150 0 145 5 0 0
5 40 118 0 50 68 0 0
6 45 65 0 2 59 4 0
7 50 37 0 0 17 19 1
8 55 24 0 0 7 14 3
9 60 13 0 0 0 6 7
10 65 10 0 0 0 4 6
11 70 2 0 0 0 0 2
12 75 2 0 0 0 0 2
13 Inf 1 0 0 0 0 1
length count C1 C2 C3 C4 C5
1 20 6 6 0 0 0 0
2 25 39 38 1 0 0 0
3 30 56 11 45 0 0 0
4 35 150 0 145 5 0 0
5 40 118 0 50 68 0 0
6 45 65 0 2 59 4 0
7 50 37 0 0 17 19 1
8 55 24 0 0 7 14 3
9 60 13 0 0 0 6 7
10 65 10 0 0 0 4 6
11 70 2 0 0 0 0 2
12 75 2 0 0 0 0 2
13 Inf 1 0 0 0 0 1
Warning message:
In mixgroup(pikeraw, usecondit = TRUE, k = 3) :
5 groups found, argument k = 3 ignored
length count C1 C2 C3 C4 C5 C6 C7 C8
1 20 6 6 0 0 0 0 0 0 0
2 25 39 38 1 0 0 0 0 0 0
3 30 56 11 45 0 0 0 0 0 0
4 35 150 0 145 5 0 0 0 0 0
5 40 118 0 50 68 0 0 0 0 0
6 45 65 0 2 59 4 0 0 0 0
7 50 37 0 0 17 19 1 0 0 0
8 55 24 0 0 7 14 3 0 0 0
9 60 13 0 0 0 6 7 0 0 0
10 65 10 0 0 0 4 6 0 0 0
11 70 2 0 0 0 0 2 0 0 0
12 75 2 0 0 0 0 2 0 0 0
13 Inf 1 0 0 0 0 1 0 0 0
mixdist documentation built on May 2, 2019, 3:34 p.m.
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Description Usage Arguments Value See Also Examples
Description
Group raw data in the form of numbers of observations over successive intervals.
Usage
1 |
Arguments
x |
a data frame or matrix containing raw data, whose first column should be the measurements to be grouped, and second column, if available, includes the numbers indicating which component each individual belongs to. |
breaks |
one of: * a vector giving the boundaries of intervals which raw data are grouped into, * a single number giving the number of intervals, * a character string naming an algorithm to compute the number of intervals, * a function to compute the number of intervals. In the last three cases the number is a suggestion only. |
xname |
the name of measurement. |
k |
the number of components. |
usecondit |
if |
Value
A data frame containing grouped data derived from raw data,
whose first column includes the right boundaries of grouping
intervals, where the first and last intervals are open-ended;
whose second column consists of the frequencies which are
the numbers of observations falling into each interval. If
usecondit is TRUE and the numbers indicating which
component the individual comes from are available, conditional
data which can be regarded as a table, whose element in row j
and column i is the number of observations from the jth
interval belonging to the ith component, will be displayed
with grouped data.
See Also
hist for more information about the argument
breaks, is.mixdata for checking the class of
data sets, mixparam for organizing the parameter
values, mixconstr for constructing constraints.
Examples
1 2 3 4 5 6 7 8 9 10 | data(pikeraw) # load raw data `pikeraw'
pikeraw # display the data set `pikeraw'
mixgroup(pikeraw) # group raw data
pikemd <- mixgroup(pikeraw, breaks = c(0, seq(19.75, 65.75, 2), 80))
plot(pikemd)
mixgroup(pikeraw, breaks = c(0, seq(19.75, 65.75, 2), 80), usecondit = TRUE, k = 5)
# construct grouped data associated with conditional data
mixgroup(pikeraw, usecondit = TRUE)
mixgroup(pikeraw, usecondit = TRUE, k = 3) # grouping data with a warning message
mixgroup(pikeraw, usecondit = TRUE, k = 8)
|
Example output
length age
1 18.0 1
2 19.0 1
3 19.5 1
4 19.5 1
5 20.0 1
6 20.0 1
7 20.5 1
8 21.0 1
9 21.0 1
10 21.0 1
11 21.5 1
12 21.5 1
13 21.5 1
14 21.5 1
15 22.0 1
16 22.5 1
17 22.5 1
18 22.5 1
19 22.5 1
20 22.5 1
21 22.5 1
22 22.5 1
23 22.5 1
24 22.5 1
25 23.0 1
26 23.0 1
27 23.0 1
28 23.0 1
29 23.0 1
30 23.5 1
31 23.5 1
32 23.5 1
33 23.5 1
34 23.5 1
35 23.5 1
36 24.0 1
37 24.0 1
38 24.0 1
39 24.0 1
40 24.0 1
41 24.5 1
42 24.5 1
43 25.0 1
44 25.0 1
45 26.0 1
46 26.0 1
47 26.0 1
48 26.5 1
49 26.5 1
50 27.0 1
51 27.5 1
52 27.5 1
53 28.0 1
54 28.5 1
55 28.5 1
56 25.0 2
57 25.5 2
58 26.5 2
59 26.5 2
60 26.5 2
61 27.0 2
62 27.5 2
63 27.5 2
64 28.0 2
65 28.0 2
66 28.0 2
67 28.0 2
68 28.0 2
69 28.0 2
70 28.0 2
71 28.0 2
72 28.5 2
73 28.5 2
74 29.0 2
75 29.0 2
76 29.0 2
77 29.0 2
78 29.0 2
79 29.0 2
80 29.0 2
81 29.0 2
82 29.5 2
83 29.5 2
84 29.5 2
85 29.5 2
86 29.5 2
87 29.5 2
88 29.5 2
89 29.5 2
90 29.5 2
91 29.5 2
92 30.0 2
93 30.0 2
94 30.0 2
95 30.0 2
96 30.0 2
97 30.0 2
98 30.0 2
99 30.0 2
100 30.0 2
101 30.0 2
102 30.5 2
103 30.5 2
104 30.5 2
105 30.5 2
106 30.5 2
107 30.5 2
108 30.5 2
109 30.5 2
110 30.5 2
111 30.5 2
112 30.5 2
113 31.0 2
114 31.0 2
115 31.0 2
116 31.0 2
117 31.0 2
118 31.0 2
119 31.0 2
120 31.5 2
121 31.5 2
122 31.5 2
123 31.5 2
124 31.5 2
125 31.5 2
126 31.5 2
127 31.5 2
128 31.5 2
129 31.5 2
130 32.0 2
131 32.0 2
132 32.0 2
133 32.0 2
134 32.0 2
135 32.0 2
136 32.0 2
137 32.0 2
138 32.0 2
139 32.0 2
140 32.0 2
141 32.0 2
142 32.0 2
143 32.5 2
144 32.5 2
145 32.5 2
146 32.5 2
147 32.5 2
148 32.5 2
149 32.5 2
150 32.5 2
151 32.5 2
152 32.5 2
153 32.5 2
154 32.5 2
155 32.5 2
156 32.5 2
157 32.5 2
158 32.5 2
159 32.5 2
160 33.0 2
161 33.0 2
162 33.0 2
163 33.0 2
164 33.0 2
165 33.0 2
166 33.0 2
167 33.0 2
168 33.0 2
169 33.0 2
170 33.0 2
171 33.0 2
172 33.0 2
173 33.0 2
174 33.0 2
175 33.0 2
176 33.0 2
177 33.0 2
178 33.0 2
179 33.0 2
180 33.0 2
181 33.0 2
182 33.5 2
183 33.5 2
184 33.5 2
185 33.5 2
186 33.5 2
187 33.5 2
188 33.5 2
189 33.5 2
190 33.5 2
191 33.5 2
192 33.5 2
193 33.5 2
194 33.5 2
195 33.5 2
196 33.5 2
197 33.5 2
198 34.0 2
199 34.0 2
200 34.0 2
201 34.0 2
202 34.0 2
203 34.0 2
204 34.0 2
205 34.0 2
206 34.0 2
207 34.0 2
208 34.0 2
209 34.0 2
210 34.0 2
211 34.0 2
212 34.5 2
213 34.5 2
214 34.5 2
215 34.5 2
216 34.5 2
217 34.5 2
218 34.5 2
219 34.5 2
220 34.5 2
221 34.5 2
222 34.5 2
223 34.5 2
224 34.5 2
225 34.5 2
226 34.5 2
227 34.5 2
228 35.0 2
229 35.0 2
230 35.0 2
231 35.0 2
232 35.0 2
233 35.0 2
234 35.0 2
235 35.0 2
236 35.0 2
237 35.0 2
238 35.0 2
239 35.0 2
240 35.0 2
241 35.0 2
242 35.0 2
243 35.0 2
244 35.0 2
245 35.0 2
246 35.0 2
247 35.5 2
248 35.5 2
249 35.5 2
250 35.5 2
251 35.5 2
252 35.5 2
253 35.5 2
254 35.5 2
255 35.5 2
256 35.5 2
257 35.5 2
258 35.5 2
259 35.5 2
260 35.5 2
261 36.0 2
262 36.0 2
263 36.5 2
264 36.5 2
265 36.5 2
266 36.5 2
267 36.5 2
268 36.5 2
269 36.5 2
270 37.0 2
271 37.0 2
272 37.0 2
273 37.0 2
274 37.0 2
275 37.5 2
276 37.5 2
277 37.5 2
278 37.5 2
279 37.5 2
280 37.5 2
281 37.5 2
282 37.5 2
283 37.5 2
284 38.0 2
285 38.0 2
286 38.0 2
287 38.0 2
288 38.0 2
289 38.0 2
290 38.5 2
291 38.5 2
292 38.5 2
293 39.0 2
294 39.5 2
295 39.5 2
296 39.5 2
297 40.5 2
298 41.5 2
299 31.0 3
300 32.0 3
301 32.5 3
302 34.5 3
303 35.0 3
304 35.5 3
305 35.5 3
306 35.5 3
307 35.5 3
308 35.5 3
309 35.5 3
310 36.0 3
311 36.0 3
312 36.0 3
313 36.5 3
314 36.5 3
315 36.5 3
316 36.5 3
317 36.5 3
318 37.0 3
319 37.0 3
320 37.0 3
321 37.0 3
322 37.0 3
323 37.5 3
324 37.5 3
325 37.5 3
326 37.5 3
327 37.5 3
328 37.5 3
329 37.5 3
330 37.5 3
331 38.0 3
332 38.0 3
333 38.0 3
334 38.5 3
335 38.5 3
336 38.5 3
337 38.5 3
338 38.5 3
339 38.5 3
340 38.5 3
341 38.5 3
342 39.0 3
343 39.0 3
344 39.0 3
345 39.0 3
346 39.0 3
347 39.0 3
348 39.0 3
349 39.0 3
350 39.0 3
351 39.0 3
352 39.0 3
353 39.5 3
354 39.5 3
355 39.5 3
356 39.5 3
357 39.5 3
358 39.5 3
359 39.5 3
360 40.0 3
361 40.0 3
362 40.0 3
363 40.0 3
364 40.0 3
365 40.0 3
366 40.0 3
367 40.0 3
368 40.0 3
369 40.0 3
370 40.0 3
371 40.0 3
372 40.5 3
373 40.5 3
374 40.5 3
375 40.5 3
376 40.5 3
377 40.5 3
378 41.0 3
379 41.0 3
380 41.0 3
381 41.0 3
382 41.0 3
383 41.0 3
384 41.0 3
385 41.0 3
386 41.0 3
387 41.0 3
388 41.0 3
389 41.5 3
390 41.5 3
391 41.5 3
392 41.5 3
393 41.5 3
394 42.0 3
395 42.0 3
396 42.0 3
397 42.0 3
398 42.5 3
399 42.5 3
400 42.5 3
401 42.5 3
402 42.5 3
403 42.5 3
404 42.5 3
405 42.5 3
406 42.5 3
407 42.5 3
408 43.0 3
409 43.0 3
410 43.0 3
411 43.0 3
412 43.0 3
413 43.5 3
414 43.5 3
415 43.5 3
416 43.5 3
417 44.0 3
418 44.0 3
419 44.0 3
420 44.0 3
421 44.5 3
422 44.5 3
423 44.5 3
424 44.5 3
425 45.0 3
426 45.0 3
427 45.0 3
428 45.0 3
429 45.0 3
430 45.0 3
431 45.5 3
432 45.5 3
433 46.0 3
434 46.5 3
435 46.5 3
436 46.5 3
437 46.5 3
438 47.0 3
439 47.5 3
440 48.0 3
441 48.0 3
442 48.0 3
443 48.5 3
444 48.5 3
445 48.5 3
446 50.0 3
447 50.0 3
448 50.5 3
449 51.0 3
450 51.5 3
451 52.0 3
452 52.5 3
453 52.5 3
454 53.0 3
455 44.5 4
456 44.5 4
457 44.5 4
458 45.0 4
459 45.5 4
460 45.5 4
461 46.0 4
462 46.0 4
463 46.0 4
464 47.0 4
465 47.0 4
466 47.5 4
467 47.5 4
468 47.5 4
469 47.5 4
470 47.5 4
471 48.0 4
472 48.5 4
473 48.5 4
474 48.5 4
475 49.5 4
476 50.0 4
477 50.0 4
478 50.5 4
479 51.0 4
480 51.5 4
481 51.5 4
482 51.5 4
483 52.0 4
484 52.5 4
485 53.0 4
486 53.5 4
487 54.0 4
488 54.5 4
489 55.0 4
490 55.0 4
491 55.0 4
492 55.5 4
493 55.5 4
494 55.5 4
495 56.0 4
496 56.0 4
497 58.5 4
498 61.0 4
499 61.0 4
500 62.5 4
501 64.5 4
502 49.5 5
503 52.0 5
504 52.0 5
505 53.5 5
506 56.5 5
507 58.5 5
508 58.5 5
509 58.5 5
510 59.0 5
511 59.5 5
512 60.0 5
513 61.0 5
514 61.0 5
515 61.0 5
516 62.5 5
517 62.5 5
518 65.0 5
519 67.5 5
520 68.5 5
521 71.0 5
522 75.0 5
523 76.5 5
length count
1 20 6
2 25 39
3 30 56
4 35 150
5 40 118
6 45 65
7 50 37
8 55 24
9 60 13
10 65 10
11 70 2
12 75 2
13 Inf 1
length count C1 C2 C3 C4 C5
1 19.75 4 4 0 0 0 0
2 21.75 10 10 0 0 0 0
3 23.75 21 21 0 0 0 0
4 25.75 11 9 2 0 0 0
5 27.75 14 8 6 0 0 0
6 29.75 31 3 28 0 0 0
7 31.75 39 0 38 1 0 0
8 33.75 70 0 68 2 0 0
9 35.75 71 0 63 8 0 0
10 37.75 44 0 23 21 0 0
11 39.75 42 0 13 29 0 0
12 41.75 36 0 2 34 0 0
13 43.75 23 0 0 23 0 0
14 45.75 22 0 0 16 6 0
15 47.75 17 0 0 7 10 0
16 49.75 12 0 0 6 5 1
17 51.75 12 0 0 5 7 0
18 53.75 11 0 0 4 4 3
19 55.75 8 0 0 0 8 0
20 57.75 3 0 0 0 2 1
21 59.75 6 0 0 0 1 5
22 61.75 6 0 0 0 2 4
23 63.75 3 0 0 0 1 2
24 65.75 2 0 0 0 1 1
25 Inf 5 0 0 0 0 5
length count C1 C2 C3 C4 C5
1 20 6 6 0 0 0 0
2 25 39 38 1 0 0 0
3 30 56 11 45 0 0 0
4 35 150 0 145 5 0 0
5 40 118 0 50 68 0 0
6 45 65 0 2 59 4 0
7 50 37 0 0 17 19 1
8 55 24 0 0 7 14 3
9 60 13 0 0 0 6 7
10 65 10 0 0 0 4 6
11 70 2 0 0 0 0 2
12 75 2 0 0 0 0 2
13 Inf 1 0 0 0 0 1
length count C1 C2 C3 C4 C5
1 20 6 6 0 0 0 0
2 25 39 38 1 0 0 0
3 30 56 11 45 0 0 0
4 35 150 0 145 5 0 0
5 40 118 0 50 68 0 0
6 45 65 0 2 59 4 0
7 50 37 0 0 17 19 1
8 55 24 0 0 7 14 3
9 60 13 0 0 0 6 7
10 65 10 0 0 0 4 6
11 70 2 0 0 0 0 2
12 75 2 0 0 0 0 2
13 Inf 1 0 0 0 0 1
Warning message:
In mixgroup(pikeraw, usecondit = TRUE, k = 3) :
5 groups found, argument k = 3 ignored
length count C1 C2 C3 C4 C5 C6 C7 C8
1 20 6 6 0 0 0 0 0 0 0
2 25 39 38 1 0 0 0 0 0 0
3 30 56 11 45 0 0 0 0 0 0
4 35 150 0 145 5 0 0 0 0 0
5 40 118 0 50 68 0 0 0 0 0
6 45 65 0 2 59 4 0 0 0 0
7 50 37 0 0 17 19 1 0 0 0
8 55 24 0 0 7 14 3 0 0 0
9 60 13 0 0 0 6 7 0 0 0
10 65 10 0 0 0 4 6 0 0 0
11 70 2 0 0 0 0 2 0 0 0
12 75 2 0 0 0 0 2 0 0 0
13 Inf 1 0 0 0 0 1 0 0 0
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