find_var: Find variable by name or label
In sjmisc: Data and Variable Transformation Functions
Description
Usage
Arguments
Details
Value
Examples
Description
This functions finds variables in a data frame, which variable
names or variable (and value) label attribute match a specific
pattern. Regular expression for the pattern is supported.
Usage
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find_var(
data,
pattern,
ignore.case = TRUE,
search = c("name_label", "name_value", "label_value", "name", "label", "value",
"all"),
out = c("table", "df", "index"),
fuzzy = FALSE,
regex = FALSE
)
find_in_data(
data,
pattern,
ignore.case = TRUE,
search = c("name_label", "name_value", "label_value", "name", "label", "value",
"all"),
out = c("table", "df", "index"),
fuzzy = FALSE,
regex = FALSE
)
Arguments
data
A data frame.
pattern
Character string to be matched in data. May also be a
character vector of length > 1 (see 'Examples'). pattern is
searched for in column names and variable label attributes of
data (see get_label). pattern
might also be a regular-expression object, as returned by stringr::regex().
Alternatively, use regex = TRUE to treat pattern as a regular
expression rather than a fixed string.
ignore.case
Logical, whether matching should be case sensitive or not.
ignore.case is ignored when pattern is no regular expression or
regex = FALSE.
search
Character string, indicating where pattern is sought.
Use one of following options:
"name_label"The default, searches for pattern in
variable names and variable labels.
"name_value"Searches for pattern in
variable names and value labels.
"label_value"Searches for pattern in
variable and value labels.
"name"Searches for pattern in
variable names.
"label"Searches for pattern in
variable labels
"value"Searches for pattern in
value labels.
"all"Searches for pattern in
variable names, variable and value labels.
out
Output (return) format of the search results. May be abbreviated
and must be one of:
"table"A tabular overview (as data frame) with
column indices, variable names and labels of matching variables.
"df"A data frame with all matching variables.
"index"-
A named vector with column indices of all matching variables.
fuzzy
Logical, if TRUE, "fuzzy matching" (partial and
close distance matching) will be used to find pattern
in data if no exact match was found.
regex
Logical, if TRUE, pattern is treated as a regular
expression rather than a fixed string.
Details
This function searches for pattern in data's column names
and - for labelled data - in all variable and value labels of data's
variables (see get_label for details on variable labels and
labelled data). Regular expressions are supported as well, by simply using
pattern = stringr::regex(...) or regex = TRUE.
Value
By default (i.e. out = "table", returns a data frame with three
columns: column number, variable name and variable label. If
out = "index", returns a named vector with column indices
of matching variables (variable names are used as names-attribute);
if out = "df", returns the matching variables as data frame
Examples
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data(efc)
# find variables with "cop" in variable name
find_var(efc, "cop")
# return data frame with matching variables
find_var(efc, "cop", out = "df")
# or return column numbers
find_var(efc, "cop", out = "index")
# find variables with "dependency" in names and variable labels
library(sjlabelled)
find_var(efc, "dependency")
get_label(efc$e42dep)
# find variables with "level" in names and value labels
res <- find_var(efc, "level", search = "name_value", out = "df")
res
get_labels(res, attr.only = FALSE)
# use sjPlot::view_df() to view results
## Not run:
library(sjPlot)
view_df(res)
## End(Not run)
Example output
Install package "strengejacke" from GitHub (`devtools::install_github("strengejacke/strengejacke")`) to load all sj-packages at once!
col.nr var.name
1 6 c82cop1
2 7 c83cop2
3 8 c84cop3
4 9 c85cop4
5 10 c86cop5
6 11 c87cop6
7 12 c88cop7
8 13 c89cop8
9 14 c90cop9
var.label
1 do you feel you cope well as caregiver?
2 do you find caregiving too demanding?
3 does caregiving cause difficulties in your relationship with your friends?
4 does caregiving have negative effect on your physical health?
5 does caregiving cause difficulties in your relationship with your family?
6 does caregiving cause financial difficulties?
7 do you feel trapped in your role as caregiver?
8 do you feel supported by friends/neighbours?
9 do you feel caregiving worthwhile?
c82cop1 c83cop2 c84cop3 c85cop4 c86cop5 c87cop6 c88cop7 c89cop8 c90cop9
1 3 2 2 2 1 1 2 3 3
2 3 3 3 3 4 1 3 2 2
3 2 2 1 4 1 1 1 4 3
4 4 1 3 1 1 1 1 2 4
5 3 2 1 2 2 2 1 4 4
6 2 2 3 3 3 2 2 1 1
7 4 2 4 1 1 2 4 1 4
8 3 2 2 1 1 1 2 3 3
9 3 2 3 2 2 1 3 1 3
10 3 2 1 2 1 1 1 1 3
11 3 4 4 4 4 4 4 1 1
12 3 3 3 1 3 1 4 3 1
13 3 2 2 2 2 1 2 4 4
14 3 2 4 4 1 1 2 4 4
15 2 3 3 3 2 2 1 1 1
16 4 2 1 3 3 1 2 1 3
17 3 2 1 2 1 1 2 4 4
18 4 2 1 2 1 1 2 3 3
19 3 2 1 2 2 1 3 1 4
20 3 2 4 2 1 3 3 2 2
21 3 2 3 2 1 1 1 1 3
22 4 1 2 1 1 1 1 2 2
23 3 1 1 1 1 1 1 2 4
24 3 2 2 4 1 1 2 3 4
25 3 2 1 2 1 1 2 3 3
26 2 3 4 4 3 1 4 1 4
27 2 3 3 NA 1 1 4 2 2
28 2 2 2 2 1 1 1 3 2
29 3 2 2 2 4 1 2 2 1
30 2 2 1 2 1 1 1 2 4
31 3 2 4 4 4 4 4 1 3
32 3 1 3 1 1 1 1 1 4
33 3 2 2 3 1 1 3 1 1
34 2 2 4 4 2 1 4 2 3
35 3 2 1 2 1 1 1 3 4
36 3 2 1 2 1 1 1 4 4
37 3 4 3 2 1 1 4 1 1
38 3 1 1 2 1 1 1 4 4
39 3 2 3 4 1 3 2 1 4
40 2 3 2 3 2 1 2 3 3
41 4 3 2 2 3 1 4 1 3
42 4 2 1 3 1 3 2 1 4
43 3 2 3 3 1 2 1 3 3
44 3 3 2 3 2 1 3 1 2
45 3 4 2 2 2 2 4 2 2
46 2 3 1 3 1 2 4 3 1
47 3 2 3 3 1 4 2 1 2
48 3 3 2 3 1 1 2 3 3
49 3 2 3 3 1 1 3 2 4
50 2 4 4 3 1 1 3 2 1
51 3 3 4 2 1 2 3 1 4
52 4 2 2 1 1 1 1 3 NA
53 2 2 4 2 1 1 2 1 1
54 3 2 3 2 2 1 2 2 2
55 4 2 1 2 1 1 1 3 3
56 4 2 2 2 1 2 1 1 4
57 NA 3 4 4 3 3 4 1 4
58 3 3 2 NA 3 3 3 4 2
59 2 2 1 2 3 1 4 3 3
60 2 4 4 4 1 3 4 1 2
61 4 2 4 2 2 1 1 1 3
62 3 2 4 3 1 2 1 3 4
63 3 1 1 1 1 1 1 4 4
64 2 2 2 3 1 4 4 2 4
65 3 2 2 1 1 1 2 3 NA
66 3 2 2 2 1 1 4 1 4
67 2 3 1 1 1 1 4 3 1
68 3 2 1 1 1 2 2 3 4
69 3 3 1 4 1 1 1 1 4
70 2 3 4 2 1 1 3 1 4
71 4 1 1 1 1 1 1 4 4
72 3 2 2 3 3 1 2 2 3
73 3 2 1 2 1 2 1 3 4
74 2 3 2 4 1 1 4 2 1
75 3 2 2 1 2 1 1 4 4
76 3 2 1 2 1 1 1 1 3
77 2 4 4 4 1 1 4 4 1
78 3 2 1 1 1 1 2 2 3
79 2 3 1 1 1 1 3 2 2
80 3 2 2 2 1 2 3 2 2
81 4 1 1 1 1 1 1 1 4
82 4 2 1 2 1 3 1 3 3
83 3 2 1 4 1 1 1 2 4
84 3 3 2 4 2 1 2 3 3
85 3 2 3 1 1 1 1 1 4
86 3 2 1 4 2 2 2 1 4
87 3 2 1 2 3 3 2 1 2
88 3 3 2 2 1 1 3 3 3
89 3 3 3 4 4 3 4 3 1
90 3 3 2 1 1 1 1 3 3
91 3 1 1 3 1 1 1 2 4
92 3 2 2 1 1 1 2 3 4
93 3 2 1 3 1 1 2 2 2
94 3 3 1 2 1 1 1 1 3
95 3 2 1 2 1 1 2 4 4
96 3 2 1 2 2 1 2 1 4
97 3 2 2 2 1 1 2 3 NA
98 3 2 1 2 1 1 1 3 3
99 3 2 2 2 1 1 2 3 3
100 3 3 4 2 2 2 3 2 2
101 3 2 3 3 1 1 1 1 2
102 3 2 2 2 1 1 2 2 2
103 4 2 1 2 1 1 1 1 4
104 3 2 1 2 1 1 1 4 2
105 3 2 2 2 2 1 2 2 3
106 3 2 2 2 3 1 2 4 3
107 4 2 1 1 1 1 2 4 4
108 4 1 1 1 1 1 1 4 4
109 3 2 1 2 1 1 4 2 2
110 3 2 2 2 2 1 2 3 3
111 3 2 1 2 1 2 2 2 4
112 3 2 2 1 2 1 2 2 1
113 3 3 3 2 1 2 4 1 2
114 4 1 1 1 1 1 1 4 4
115 3 2 2 2 1 2 2 3 3
116 3 2 2 3 2 1 2 1 3
117 3 2 2 1 1 1 2 1 3
118 3 3 3 2 1 2 2 2 3
119 4 2 4 2 1 1 3 1 3
120 3 2 1 4 1 1 2 1 1
121 4 1 1 1 1 2 1 3 4
122 3 3 4 2 1 1 3 1 NA
123 3 3 4 1 1 2 3 2 NA
124 3 4 4 4 1 1 4 1 2
125 2 2 2 2 1 1 4 4 4
126 3 2 1 3 1 1 4 3 3
127 4 1 1 1 1 1 2 2 NA
128 3 2 1 3 2 1 2 1 NA
129 3 1 1 1 2 1 1 1 4
130 4 1 2 2 1 3 4 1 4
131 2 2 3 3 1 2 3 2 2
132 3 2 1 1 1 1 1 4 4
133 3 2 1 4 1 1 2 2 2
134 1 2 3 2 1 NA 4 1 NA
135 4 2 2 2 2 1 3 1 2
136 3 2 2 1 2 1 2 1 3
137 3 4 3 2 2 1 4 1 1
138 4 1 1 1 1 1 1 4 4
139 4 1 2 2 1 2 1 3 4
140 3 2 1 3 1 1 2 3 3
141 3 2 2 3 3 3 4 2 2
142 3 2 1 2 2 1 2 1 3
143 2 3 2 2 2 1 2 1 2
144 4 2 1 NA 1 1 1 4 NA
145 3 2 2 2 2 1 2 2 4
146 3 2 2 1 1 1 2 2 4
147 4 2 1 NA 2 1 2 3 1
148 3 2 2 2 1 1 2 1 3
149 3 2 1 2 1 1 2 3 3
150 3 2 2 1 2 2 3 2 3
151 4 2 1 2 1 1 3 1 4
152 4 2 2 3 1 1 2 1 3
153 3 1 1 1 2 1 1 1 3
154 4 2 3 1 1 1 2 3 3
155 4 2 1 2 1 2 2 3 4
156 3 1 2 1 1 1 2 2 2
157 2 1 1 2 1 1 2 3 4
158 4 4 1 4 1 1 2 4 4
159 3 2 2 2 1 1 2 1 3
160 3 2 1 2 1 1 2 3 3
161 3 2 1 1 2 2 3 1 3
162 3 2 4 2 1 1 3 2 4
163 1 3 1 4 2 1 3 1 1
164 3 2 1 2 1 1 2 NA 3
165 3 2 1 2 1 1 2 3 4
166 4 3 2 3 1 1 3 3 4
167 4 4 1 1 2 1 NA 1 NA
168 3 2 1 3 1 1 4 1 NA
169 2 3 1 2 1 1 2 3 1
170 3 2 1 1 1 1 2 4 NA
171 3 2 1 1 1 1 2 4 4
172 4 2 3 1 1 1 2 1 2
173 3 2 1 1 1 1 1 4 4
174 4 2 2 1 1 1 1 2 4
175 4 1 2 2 1 1 2 1 4
176 3 2 1 2 1 1 1 1 3
177 2 2 1 2 1 1 2 1 1
178 3 2 2 2 1 1 3 1 2
179 4 1 1 1 1 1 1 1 2
180 4 2 1 2 1 1 1 1 4
181 4 2 2 3 1 1 1 1 4
182 3 2 2 2 1 1 2 1 3
183 3 2 3 2 1 1 4 1 1
184 3 2 1 1 1 1 2 4 3
185 3 2 2 3 2 1 3 2 NA
186 3 3 1 2 1 1 3 3 3
187 4 3 3 4 1 4 NA 2 4
188 2 3 3 4 2 1 3 2 3
189 3 1 1 1 1 1 1 1 3
190 3 2 2 2 1 1 2 3 3
191 3 3 3 3 1 2 3 3 3
192 3 4 1 2 1 1 3 4 4
193 3 2 1 1 2 1 1 1 2
194 3 2 1 2 1 2 2 2 3
195 3 2 1 1 1 1 1 4 4
196 3 1 1 1 1 1 1 4 4
197 3 2 2 2 1 1 4 3 3
198 3 3 1 2 1 1 2 1 3
199 3 2 2 2 2 1 2 4 1
200 3 1 1 1 2 1 1 1 3
201 4 1 1 1 1 1 1 2 4
202 2 3 4 4 2 1 3 1 1
203 4 1 1 1 1 1 1 3 4
204 2 3 2 2 1 1 3 2 1
205 4 1 1 1 1 1 1 1 3
206 3 3 1 1 1 1 1 1 3
207 3 2 1 2 2 3 2 2 4
208 4 2 2 2 1 1 2 1 4
209 3 2 3 2 1 1 1 4 4
210 3 2 1 2 1 1 2 1 2
211 3 2 2 2 2 1 1 1 3
212 2 3 2 4 2 2 2 1 3
213 3 1 2 1 1 1 1 1 3
214 2 2 1 2 1 1 3 2 1
215 4 1 4 1 2 2 4 2 3
216 3 1 1 1 1 1 2 4 4
217 4 2 2 2 2 1 2 2 4
218 3 2 1 2 1 4 2 1 1
219 4 2 2 1 2 1 1 2 4
220 4 1 1 1 2 1 1 4 4
221 3 2 1 1 2 1 3 3 1
222 3 3 3 4 4 3 4 3 3
223 3 2 1 1 2 1 2 3 2
224 3 2 1 2 1 1 2 3 3
225 3 4 1 1 1 1 4 1 3
226 3 2 1 1 1 1 1 1 3
227 3 3 1 1 1 1 3 1 4
228 2 4 2 4 2 1 4 1 2
229 3 1 2 2 2 1 2 3 3
230 3 4 1 2 1 1 3 3 4
231 3 3 3 1 3 1 2 2 4
232 3 4 4 1 3 2 3 4 4
233 4 2 1 2 1 1 1 2 4
234 3 3 1 1 2 1 2 1 3
235 2 2 1 2 1 1 3 1 4
236 3 2 2 1 2 1 2 1 3
237 4 2 2 1 1 1 2 1 3
238 3 2 1 1 1 1 2 2 3
239 4 2 1 1 2 1 1 3 3
240 3 2 1 2 1 1 1 4 4
241 3 1 2 1 1 1 1 4 3
242 3 2 1 2 1 1 1 3 4
243 3 2 2 2 2 1 1 3 2
244 3 2 1 1 1 1 2 3 3
245 3 2 1 1 1 1 2 3 3
246 3 2 1 2 2 1 2 2 4
247 3 1 1 1 1 1 1 2 3
248 3 2 1 1 1 2 1 2 2
249 3 2 1 1 1 2 2 1 3
250 3 2 1 1 2 1 2 2 3
251 3 2 1 2 1 1 3 2 2
252 3 2 2 2 1 1 2 3 2
253 3 2 1 3 1 2 2 2 4
254 3 1 3 2 2 1 2 2 3
255 3 2 2 2 2 1 1 1 2
256 2 3 3 2 3 1 4 1 2
257 3 2 1 2 2 1 2 3 3
258 3 4 1 2 1 1 4 4 2
259 3 2 3 1 2 1 1 4 3
260 3 2 2 2 4 3 1 1 2
261 2 2 1 1 1 1 1 1 4
262 3 2 4 2 1 1 1 1 4
263 3 2 2 1 1 1 2 1 1
264 3 3 2 1 1 1 1 1 2
265 4 1 2 1 1 1 1 3 4
266 3 1 1 2 1 2 2 2 3
267 3 2 4 3 3 2 2 3 1
268 3 4 2 1 1 1 4 1 1
269 3 2 1 1 1 1 2 1 3
270 2 4 3 2 1 2 4 1 2
271 3 1 1 1 1 1 2 2 2
272 3 1 2 1 1 1 2 3 2
273 3 2 2 1 1 1 1 3 2
274 4 1 2 1 1 1 2 4 3
275 3 3 2 1 2 1 2 1 3
276 4 3 1 1 1 2 2 2 2
277 3 2 1 1 2 1 1 2 3
278 3 2 2 1 1 1 1 1 3
279 4 2 1 1 2 1 1 1 3
280 3 2 1 1 1 1 1 3 4
281 3 2 1 1 1 1 2 3 4
282 3 1 1 1 1 1 2 4 4
283 3 2 1 1 1 1 1 4 4
284 3 2 1 2 2 1 1 4 4
285 3 2 1 1 1 1 2 4 4
286 3 1 1 1 3 1 2 3 4
287 2 2 1 2 1 2 2 2 2
288 3 2 1 2 1 1 1 2 4
289 3 3 3 3 1 1 4 1 2
290 2 3 3 2 3 1 4 1 4
291 2 2 1 3 1 1 2 1 2
292 4 1 1 1 1 1 1 2 3
293 4 1 1 1 1 1 1 1 1
294 4 1 1 1 1 1 1 1 4
295 3 2 1 1 1 1 1 1 3
296 3 2 1 1 1 1 1 1 3
297 3 2 3 1 1 2 2 3 2
298 4 1 1 1 1 1 1 2 3
299 3 1 2 1 1 1 1 2 3
300 4 1 1 1 1 2 1 3 4
301 3 2 2 3 1 2 3 2 4
302 2 2 1 2 1 1 1 1 1
303 4 3 2 2 1 3 2 1 1
304 3 2 2 2 2 1 2 2 4
305 3 2 1 1 1 1 1 1 4
306 4 2 4 4 2 4 2 4 4
307 2 2 3 2 1 2 4 3 4
308 3 2 1 2 1 1 1 2 3
309 3 2 1 1 1 1 2 2 2
310 3 1 1 2 1 1 1 4 3
311 3 2 1 3 1 3 2 1 3
312 3 2 2 3 2 2 2 3 2
313 3 2 3 3 2 3 3 3 2
314 3 2 1 1 1 1 1 3 4
315 3 2 1 2 1 2 2 2 3
316 3 3 4 2 1 2 3 2 4
317 3 2 2 1 1 3 2 3 3
318 3 2 2 3 1 2 2 2 2
319 3 2 2 1 1 1 2 1 3
320 4 2 1 2 1 1 1 1 4
321 3 2 1 2 1 1 2 4 4
322 4 3 1 1 1 1 1 3 4
323 3 2 1 1 1 1 1 3 4
324 3 3 1 2 1 1 1 2 2
325 3 2 1 1 1 1 1 2 3
326 3 2 1 1 1 1 2 3 3
327 3 3 1 4 1 1 2 1 4
328 3 2 2 2 1 2 2 2 2
329 4 2 1 1 1 1 1 1 4
330 3 2 1 1 1 1 2 1 1
331 4 2 1 1 1 1 2 1 2
332 3 2 1 2 2 1 2 3 4
333 3 2 2 2 2 1 2 2 3
334 3 1 3 2 1 1 2 1 4
335 4 1 1 1 1 1 1 4 4
336 4 1 2 1 1 1 1 1 4
337 3 3 1 4 1 1 4 1 2
338 4 1 1 2 1 1 2 1 4
339 3 3 1 3 1 2 4 3 3
340 4 1 1 1 1 1 1 3 4
341 3 2 1 1 1 1 1 1 4
342 3 2 1 2 2 1 2 2 4
343 3 2 1 1 1 1 2 2 3
344 4 1 1 1 1 1 1 2 4
345 3 2 1 1 1 1 2 2 3
346 4 1 2 1 1 1 2 1 2
347 3 1 1 1 1 1 1 1 3
348 3 3 4 1 1 1 4 1 4
349 4 1 1 1 1 1 1 1 4
350 4 2 1 1 1 1 1 3 3
351 3 2 1 1 1 2 1 3 3
352 4 1 1 1 1 1 1 2 4
353 3 2 1 1 1 1 2 1 2
354 4 1 2 1 1 1 2 3 3
355 3 1 2 1 1 1 2 3 2
356 2 4 3 2 1 2 4 1 2
357 3 2 1 1 1 1 2 2 3
358 3 2 3 1 1 1 1 2 3
359 3 2 2 2 2 1 2 1 2
360 4 1 1 1 1 1 2 2 4
361 3 2 2 2 1 1 2 2 3
362 3 2 1 1 1 1 1 2 2
363 4 1 1 1 1 1 1 3 3
364 4 2 1 1 1 2 1 3 4
365 4 1 1 1 1 1 2 1 2
366 4 1 1 1 1 1 1 1 4
367 4 1 1 1 1 1 1 1 4
368 3 2 2 2 1 1 2 2 3
369 3 2 2 1 2 1 2 2 2
370 3 1 1 1 1 1 1 3 4
371 3 1 1 1 1 1 2 3 3
372 3 2 1 1 1 1 2 3 3
373 3 2 3 3 4 1 3 1 3
374 2 4 1 3 1 2 3 1 1
375 3 2 2 2 1 1 1 3 1
376 3 3 2 2 1 1 2 1 1
377 4 2 1 1 1 1 2 2 1
378 4 1 1 2 2 1 1 4 4
379 3 1 2 2 1 1 1 4 4
380 3 2 1 2 2 1 2 1 2
381 2 2 4 2 1 2 4 1 4
382 3 2 2 1 1 1 3 1 2
383 2 2 2 2 2 1 2 2 4
384 3 4 2 2 3 1 3 1 2
385 3 2 1 1 1 1 1 3 4
386 3 2 1 1 1 1 1 3 3
387 4 1 1 1 1 1 1 4 4
388 3 2 2 2 2 4 2 3 3
389 3 2 2 1 2 1 2 3 4
390 3 2 2 2 2 1 2 2 1
391 3 3 1 3 2 1 3 2 2
392 2 2 2 1 1 1 2 1 3
393 2 3 1 1 1 1 1 1 3
394 3 2 3 3 3 2 2 3 3
395 3 2 2 3 3 2 2 2 3
396 3 2 3 3 4 3 3 2 3
397 3 2 3 3 1 2 3 4 3
398 3 2 2 3 3 2 2 1 2
399 3 3 1 3 1 2 3 2 2
400 3 1 1 2 1 1 1 1 4
401 3 2 1 2 1 2 2 2 3
402 3 2 1 2 1 2 2 1 3
403 4 4 4 2 3 1 4 1 2
404 4 2 1 2 2 1 1 2 4
405 3 2 1 2 2 3 2 2 2
406 3 2 1 1 1 1 3 1 3
407 3 2 1 1 1 1 2 1 4
408 3 2 1 1 1 1 1 3 3
409 3 2 2 2 2 1 1 3 1
410 3 2 2 2 2 1 2 1 1
411 3 2 2 3 1 1 2 4 4
412 3 2 1 1 1 1 2 1 3
413 3 2 1 2 1 1 2 4 2
414 3 2 1 2 2 1 2 2 2
415 3 2 1 1 1 1 2 3 3
416 2 2 1 2 1 1 2 3 3
417 2 3 1 2 1 1 3 2 2
418 3 2 1 2 1 1 2 3 2
419 3 3 3 2 2 2 3 1 2
420 3 2 1 2 1 1 1 2 3
421 4 2 2 4 3 1 3 1 3
422 3 1 1 2 1 2 2 3 4
423 3 2 2 3 3 1 3 1 3
424 3 2 1 1 2 1 2 3 3
425 3 2 1 1 1 1 3 1 2
426 4 2 4 2 1 1 2 1 1
427 3 2 2 2 1 1 2 1 3
428 3 2 1 3 1 1 1 4 4
429 3 2 2 2 1 1 1 1 4
430 4 2 1 2 1 1 2 4 4
431 3 2 1 1 1 1 1 2 3
432 2 2 2 2 2 1 3 3 3
433 3 2 2 2 1 1 2 3 2
434 3 2 1 2 1 1 2 3 3
435 3 3 1 2 2 1 2 1 2
436 3 2 2 2 2 1 2 2 3
437 2 2 2 2 2 1 2 1 2
438 3 2 2 1 2 1 2 3 4
439 4 1 2 1 1 1 2 1 3
440 3 2 2 2 2 1 2 1 2
441 3 2 2 1 1 1 2 2 3
442 3 2 2 3 3 1 2 1 4
443 3 4 4 2 2 2 2 2 4
444 3 2 1 1 2 1 2 1 2
445 2 2 2 2 2 1 3 1 2
446 3 2 2 2 1 1 1 2 3
447 3 2 2 1 1 2 2 1 3
448 3 2 2 2 1 1 2 2 1
449 3 2 2 2 2 2 2 2 2
450 3 2 2 2 3 2 2 2 3
451 4 2 1 1 1 1 1 3 3
452 3 2 1 1 1 1 2 3 4
453 3 2 1 1 1 1 1 1 4
454 4 1 1 1 1 1 1 3 4
455 4 1 1 1 1 1 1 2 3
456 2 3 2 3 1 3 3 1 1
457 4 1 1 1 1 1 1 4 4
458 3 1 1 1 1 1 1 1 3
459 3 1 1 1 1 1 1 1 3
460 4 2 1 2 1 1 2 2 4
461 3 1 1 1 1 1 2 3 3
462 3 1 1 2 1 1 1 1 4
463 3 2 2 2 1 1 2 3 3
464 3 2 3 1 3 1 3 1 3
465 2 2 1 3 2 2 1 3 4
466 3 4 1 2 2 1 2 1 3
467 3 4 2 2 1 1 2 1 3
468 4 1 1 1 1 1 1 2 4
469 3 1 2 1 2 1 1 1 2
470 4 1 1 1 1 1 1 1 3
471 3 4 1 3 1 1 4 1 3
472 4 1 1 1 1 1 1 4 4
473 3 2 1 2 1 2 1 2 2
474 3 2 1 1 1 1 2 3 4
475 4 1 1 1 1 1 2 4 3
476 4 1 1 1 1 1 1 4 4
477 3 2 1 2 1 1 3 1 2
478 3 3 2 3 2 1 2 1 3
479 4 1 1 1 1 1 1 3 4
480 3 2 1 1 1 1 2 3 3
481 3 3 3 4 1 2 4 1 4
482 3 1 1 1 1 1 1 3 3
483 4 2 1 1 1 1 1 3 4
484 3 3 1 1 1 1 1 2 4
485 3 2 1 2 2 2 1 1 3
486 4 2 1 2 1 1 2 2 4
487 4 2 2 2 2 2 2 3 3
488 3 1 1 1 1 1 1 2 2
489 4 1 1 1 2 1 1 1 3
490 4 2 1 1 1 1 1 1 2
491 4 2 2 1 1 1 2 4 3
492 3 1 2 1 1 1 1 1 3
493 3 2 3 1 1 1 2 1 3
494 3 2 2 1 1 1 2 1 2
495 3 3 2 2 1 2 2 1 2
496 3 1 2 1 4 1 1 3 3
497 3 1 1 1 1 1 2 2 2
498 3 2 2 2 1 1 2 3 2
499 2 4 3 2 1 2 3 1 2
500 4 1 2 1 1 1 2 3 3
501 3 3 3 4 3 1 4 4 3
502 4 2 1 1 1 1 1 3 1
503 4 2 1 1 1 1 2 3 3
504 4 3 3 3 3 1 3 3 2
505 4 2 3 1 1 1 1 1 2
506 3 3 2 2 1 3 4 2 2
507 3 2 2 2 3 3 2 2 2
508 3 3 2 2 3 3 2 2 4
509 3 2 2 1 2 2 3 3 2
510 2 3 2 4 1 1 4 1 1
511 3 2 1 1 1 1 2 3 3
512 2 3 2 2 1 1 2 2 1
513 3 2 2 2 2 2 3 2 4
514 3 1 1 1 1 1 1 2 3
515 4 1 1 1 1 1 2 1 3
516 2 3 3 4 2 2 4 2 1
517 4 1 2 1 1 1 1 2 4
518 3 3 3 4 1 4 3 3 NA
519 3 4 2 3 1 2 4 3 2
520 3 2 2 1 1 2 1 2 4
521 3 1 1 1 1 1 1 3 3
522 3 4 4 4 2 3 4 4 4
523 3 2 1 1 1 1 2 1 2
524 4 1 2 1 1 1 2 1 3
525 4 1 1 1 1 1 1 1 4
526 3 1 2 1 2 1 2 1 1
527 3 2 1 1 2 1 1 2 2
528 3 2 1 1 1 1 1 1 4
529 3 1 1 3 2 1 1 1 2
530 3 2 1 1 2 1 1 3 4
531 3 2 2 3 4 1 4 1 2
532 4 1 1 1 1 1 1 4 4
533 3 2 2 2 1 1 2 3 3
534 3 1 1 1 2 1 2 3 3
535 3 2 1 1 1 1 2 2 3
536 4 1 1 1 2 1 1 3 3
537 3 2 1 1 1 1 2 2 3
538 2 2 1 1 1 1 1 2 3
539 2 3 1 2 1 4 4 1 3
540 3 2 2 2 1 1 2 1 2
541 2 2 2 1 1 NA 3 1 3
542 3 2 1 1 1 1 1 3 3
543 3 1 2 1 1 1 2 2 4
544 3 1 2 1 1 1 1 3 4
545 4 1 1 1 1 1 1 3 4
546 3 2 1 1 1 1 1 3 4
547 4 1 1 1 1 2 1 3 4
548 3 3 3 2 2 1 3 2 2
549 2 4 3 2 1 2 3 1 2
550 3 1 1 1 1 1 2 2 2
551 4 2 1 2 1 1 1 3 4
552 4 2 1 2 1 1 1 3 4
553 4 2 1 2 1 1 1 1 3
554 4 1 1 2 1 1 2 3 4
555 3 1 1 1 1 1 1 3 3
556 4 1 1 2 1 1 1 4 4
557 3 3 4 4 4 4 4 4 4
558 4 4 4 4 3 3 4 4 4
559 3 2 3 2 1 1 3 1 4
560 4 4 4 4 4 4 4 4 4
561 3 3 2 2 2 1 2 2 4
562 4 2 1 2 1 1 2 1 4
563 3 2 2 4 1 1 3 1 4
564 3 1 1 1 1 1 1 1 1
565 4 2 1 2 1 1 1 2 4
566 4 1 1 1 1 1 1 3 4
567 4 1 1 1 1 1 1 2 4
568 3 2 1 1 1 1 1 2 4
569 3 2 1 3 1 2 2 3 3
570 2 3 4 4 1 1 3 1 4
571 3 3 3 2 1 1 3 2 3
572 3 2 1 4 1 2 2 3 3
573 3 4 2 3 2 4 3 1 2
574 2 2 2 2 4 2 4 1 3
575 4 2 1 3 1 2 3 1 2
576 3 2 1 2 1 1 2 1 1
577 3 2 1 2 2 1 1 1 2
578 3 2 3 2 2 2 2 1 3
579 4 1 1 1 1 1 1 4 4
580 3 2 2 2 2 2 2 1 3
581 3 2 1 2 1 1 2 1 4
582 3 2 2 2 2 1 2 1 2
583 2 2 2 2 2 2 3 1 2
584 2 3 1 3 1 1 1 3 1
585 4 2 2 1 1 1 2 3 3
586 2 3 3 2 3 1 2 1 2
587 3 2 1 1 2 1 2 3 3
588 4 2 2 2 2 1 1 1 1
589 3 2 1 2 1 1 1 4 2
590 3 1 1 1 1 1 1 3 4
591 3 2 1 1 1 1 1 3 2
592 2 3 2 2 1 1 3 2 2
593 3 3 2 2 1 1 2 2 2
594 3 3 1 2 1 1 2 3 4
595 4 1 1 1 1 1 1 2 4
596 3 2 4 1 2 3 3 1 2
597 2 3 3 3 2 1 2 3 3
598 4 2 1 2 1 1 2 2 2
599 2 3 3 3 3 1 2 3 3
600 3 2 2 4 2 2 2 2 4
601 3 2 3 2 1 1 2 3 2
602 3 2 1 2 1 1 1 2 3
603 3 3 4 3 1 1 3 4 2
604 4 1 1 1 1 1 1 4 4
605 3 1 1 1 2 1 1 3 4
606 2 1 1 1 2 1 2 1 1
607 3 2 4 4 2 3 1 2 3
608 3 3 2 1 3 3 2 2 3
609 3 3 3 2 3 3 3 2 3
610 4 1 1 1 1 2 1 3 4
611 3 3 1 1 2 1 2 2 4
612 3 2 2 1 1 1 2 2 3
613 2 2 2 3 2 1 2 2 2
614 4 2 1 1 1 1 2 4 3
615 4 2 4 3 1 1 1 1 4
616 3 2 1 1 2 1 1 3 2
617 4 2 1 1 1 1 1 2 3
618 4 2 1 1 1 1 1 1 4
619 3 2 1 1 1 1 2 2 3
620 3 2 2 2 2 1 2 2 4
621 3 2 1 2 1 1 2 3 2
622 3 1 1 1 1 1 1 1 3
623 3 2 1 1 1 1 1 2 3
624 4 1 1 2 1 1 1 4 4
625 2 3 3 4 2 2 3 1 1
626 3 2 1 1 1 1 1 1 4
627 3 3 1 1 2 1 1 1 4
628 3 3 1 1 1 1 1 3 3
629 3 2 1 1 1 1 2 2 3
630 4 1 1 4 1 1 2 1 4
631 3 1 1 2 1 1 2 1 4
632 3 2 1 2 1 2 1 2 2
633 2 2 1 1 1 2 1 3 2
634 4 2 2 2 1 2 2 2 1
635 3 3 3 2 2 2 3 2 1
636 2 2 2 1 1 1 1 2 3
637 3 2 1 1 1 1 1 2 3
638 3 2 1 1 1 1 1 2 3
639 3 2 1 1 1 1 1 1 3
640 3 2 4 1 1 1 2 1 2
641 3 2 2 2 2 1 3 2 2
642 3 4 2 2 1 1 3 4 4
643 4 2 1 1 1 1 2 3 4
644 4 2 2 2 1 2 1 3 4
645 4 2 1 1 1 1 1 3 4
646 3 2 2 2 1 2 1 2 3
647 3 1 1 2 1 2 1 1 3
648 3 2 1 2 2 1 1 2 3
649 3 2 1 2 1 1 2 3 3
650 3 2 1 1 2 1 1 2 3
651 3 2 1 2 1 1 1 4 4
652 3 2 1 2 2 1 1 1 4
653 3 3 1 2 1 1 2 1 2
654 3 2 1 4 2 1 1 1 4
655 4 1 1 1 1 1 1 1 4
656 4 2 1 1 1 1 1 4 4
657 3 2 2 2 2 1 1 1 4
658 3 2 1 1 1 1 1 3 4
659 4 1 1 2 1 1 1 2 4
660 3 2 3 2 2 1 2 1 4
661 3 1 1 1 1 1 4 4 4
662 3 2 2 1 2 1 2 3 3
663 2 2 2 2 2 2 3 1 2
664 3 2 1 1 1 1 1 2 4
665 3 2 1 2 1 1 1 3 3
666 3 3 1 2 1 1 3 3 3
667 2 3 1 1 1 1 2 3 3
668 3 2 1 1 1 1 2 1 1
669 3 2 1 1 1 1 2 1 2
670 3 2 2 1 2 1 2 3 3
671 3 2 1 1 1 2 2 3 1
672 3 2 1 1 1 1 2 2 2
673 3 2 2 1 1 1 2 2 2
674 3 2 1 1 1 1 1 4 4
675 2 2 4 1 1 1 2 1 1
676 3 2 1 1 1 1 3 2 4
677 3 2 1 2 1 1 1 3 4
678 3 2 2 1 1 1 2 3 4
679 2 2 1 1 1 1 1 1 3
680 3 1 1 1 1 1 1 3 4
681 4 2 1 1 1 1 1 4 3
682 4 1 1 1 1 1 1 3 3
683 3 1 1 1 1 1 1 3 4
684 3 2 1 1 1 1 2 3 3
685 3 2 1 1 1 1 1 4 3
686 3 2 2 2 1 1 2 1 2
687 3 2 1 1 1 1 2 1 3
688 3 2 1 2 1 1 2 1 2
689 2 2 2 1 2 1 2 3 3
690 3 2 2 1 1 1 2 2 2
691 4 1 1 1 1 1 1 4 4
692 3 3 2 2 2 2 2 3 3
693 3 2 2 3 1 1 1 3 3
694 3 2 1 2 1 1 1 2 3
695 4 2 1 1 1 1 1 4 3
696 2 2 2 2 1 1 2 2 3
697 2 4 3 4 2 3 4 2 2
698 3 2 1 1 1 2 2 2 2
699 3 2 1 2 1 1 2 3 3
700 2 3 2 2 2 2 4 3 2
701 3 2 2 2 2 1 2 2 2
702 3 2 2 2 1 1 2 2 2
703 3 2 2 4 3 2 2 3 3
704 3 2 1 1 1 1 1 3 3
705 3 2 1 2 2 1 2 4 3
706 3 2 2 2 2 1 2 3 3
707 3 2 1 1 1 1 1 3 2
708 4 1 1 1 1 1 1 2 2
709 3 2 1 2 1 1 1 2 2
710 4 1 1 1 1 1 1 2 3
711 3 2 1 1 1 1 1 3 3
712 2 4 3 3 1 1 2 1 3
713 3 2 1 1 1 1 3 1 2
714 3 2 2 3 1 1 3 1 3
715 3 2 1 2 1 1 2 2 3
716 3 2 1 4 4 4 4 4 3
717 3 2 2 2 1 1 4 3 2
718 3 2 1 1 1 1 1 1 2
719 3 1 1 1 1 1 1 1 4
720 3 2 2 2 2 1 4 2 2
721 3 2 1 1 1 1 1 3 4
722 3 2 1 2 1 2 2 4 4
723 3 2 1 1 1 1 1 3 3
724 3 2 2 2 2 2 3 3 2
725 3 2 3 3 2 2 2 1 2
726 3 2 2 2 2 1 2 2 2
727 3 2 2 2 2 1 2 3 2
728 3 1 1 1 2 2 1 1 2
729 3 3 2 4 3 2 2 2 3
730 3 2 1 1 1 1 2 3 3
731 3 2 1 2 1 1 2 3 2
732 3 4 3 3 3 4 4 1 2
733 4 2 1 2 1 1 1 3 3
734 3 3 2 1 1 1 2 3 4
735 4 2 1 2 1 1 1 1 4
736 3 2 1 3 2 1 2 1 2
737 3 1 1 2 1 1 2 1 3
738 2 2 1 1 1 1 1 1 4
739 4 2 2 1 2 1 4 4 4
740 3 1 1 1 1 1 1 3 4
741 3 2 3 4 2 1 4 2 4
742 4 1 1 2 1 1 1 4 4
743 2 2 4 2 1 1 4 2 2
744 3 1 1 2 1 1 1 4 4
745 2 2 1 2 1 1 4 4 4
746 4 1 2 1 1 1 2 3 3
747 3 1 1 1 1 1 1 1 2
748 3 2 1 1 1 1 2 1 2
749 3 2 1 2 1 2 3 4 4
750 3 2 2 3 2 1 2 2 2
751 4 1 1 1 1 1 1 2 4
752 4 1 1 1 1 1 1 3 4
753 3 2 2 2 2 1 3 2 3
754 3 2 2 2 1 1 2 1 3
755 2 2 2 1 1 1 2 3 1
756 3 2 2 1 1 1 2 2 3
757 4 2 1 2 1 1 1 1 4
758 3 1 1 1 1 1 1 4 4
759 3 2 1 2 2 3 2 1 2
760 4 2 1 1 1 2 1 2 3
761 3 1 1 2 1 2 1 3 4
762 3 3 2 2 2 1 4 2 2
763 4 1 1 1 1 1 2 1 3
764 3 2 1 2 2 2 3 2 2
765 4 1 1 1 1 1 1 2 4
766 3 2 1 1 1 1 1 3 4
767 3 2 3 1 1 1 2 2 3
768 4 1 1 1 1 1 1 4 3
769 4 1 1 2 1 1 1 3 4
770 4 3 1 1 1 1 1 1 4
771 4 1 1 1 1 1 1 1 4
772 4 1 1 1 1 1 1 1 2
773 3 2 1 1 1 1 2 1 4
774 3 1 1 1 1 1 1 1 3
775 4 1 1 2 1 1 1 1 2
776 2 2 2 2 2 1 2 1 2
777 3 2 1 2 1 1 1 1 2
778 3 2 1 1 2 1 2 1 2
779 4 2 2 2 2 2 2 4 1
780 3 3 1 2 1 2 1 4 3
781 3 2 1 1 1 1 1 3 2
782 2 2 2 2 1 1 2 2 2
783 3 1 1 2 1 1 1 3 4
784 3 1 2 2 1 1 1 2 1
785 3 2 1 2 3 2 3 3 1
786 3 2 1 1 2 1 2 3 3
787 2 3 3 3 2 2 3 1 2
788 3 2 1 2 2 1 3 1 4
789 3 3 1 2 2 1 1 3 4
790 4 2 1 1 1 1 2 1 3
791 4 2 1 1 2 1 2 1 3
792 4 2 1 1 2 1 2 1 1
793 3 1 1 1 1 1 2 2 1
794 3 2 3 2 1 1 2 1 2
795 3 1 1 1 1 1 1 1 4
796 3 2 2 1 1 1 2 1 2
797 3 2 2 2 2 1 2 2 3
798 3 2 1 1 1 1 2 1 2
799 3 1 1 2 1 1 2 2 2
800 3 2 2 2 2 1 2 1 4
801 3 2 1 1 1 1 2 2 4
802 4 3 3 2 2 1 1 1 4
803 3 2 4 2 2 1 2 2 4
804 3 4 1 4 1 1 2 1 1
805 3 2 1 1 1 1 2 3 4
806 3 2 2 1 2 1 1 2 4
807 3 2 1 1 1 1 1 3 4
808 3 2 1 1 1 1 1 3 4
809 4 2 1 1 1 1 2 4 4
810 3 3 1 1 1 1 1 3 4
811 4 2 1 1 1 1 2 2 2
812 3 2 1 1 2 1 1 3 3
813 4 2 1 1 2 1 1 2 3
814 3 2 2 2 1 2 2 3 2
815 4 2 1 1 2 1 1 2 3
816 3 2 1 1 2 1 3 2 3
817 3 3 1 2 2 1 3 2 2
818 3 2 1 1 2 1 3 1 2
819 3 1 1 1 1 1 2 2 4
820 3 2 2 1 1 1 1 1 2
821 4 1 1 1 1 1 1 1 1
822 3 4 3 3 3 3 4 3 3
823 3 3 2 3 3 2 3 3 3
824 2 3 2 2 2 3 2 3 3
825 4 3 2 2 2 2 1 3 4
826 4 2 2 2 2 3 2 2 4
827 3 3 4 4 3 3 3 4 4
828 3 3 1 1 1 1 2 1 2
829 2 2 2 1 3 1 2 2 2
830 3 2 1 2 1 2 2 2 3
831 4 1 1 2 2 2 1 1 4
832 3 3 1 2 1 1 1 4 4
833 4 1 1 1 1 1 1 3 4
834 4 2 1 2 1 1 1 4 2
835 4 2 1 1 1 1 2 2 2
836 3 3 1 2 2 1 2 3 2
837 3 2 1 1 2 1 2 1 3
838 4 1 1 1 1 1 1 2 2
839 3 1 1 1 1 1 2 2 4
840 3 2 4 2 2 2 3 2 4
841 3 2 2 2 2 2 2 1 4
842 3 2 2 2 1 1 2 1 4
843 4 1 2 1 1 1 2 1 2
844 3 1 2 1 2 1 2 3 3
845 4 1 1 1 1 1 2 4 2
846 4 2 1 1 1 1 2 1 1
847 4 1 1 1 1 1 1 2 4
848 3 2 1 1 1 1 1 4 2
849 3 2 1 1 1 1 2 3 2
850 4 2 1 2 1 1 1 3 3
851 3 2 1 1 1 1 1 2 2
852 3 2 1 2 1 1 1 4 4
853 3 3 1 1 2 1 1 1 1
854 4 1 1 1 1 1 1 4 4
855 3 2 1 2 1 1 2 2 3
856 3 2 1 1 1 1 1 3 3
857 4 1 1 1 1 1 1 4 4
858 3 2 2 2 1 1 2 3 3
859 3 2 2 2 2 2 2 1 1
860 4 1 1 1 1 1 1 3 3
861 4 2 1 1 1 1 1 3 4
862 3 2 2 1 1 1 2 3 4
863 3 2 1 1 2 1 2 2 3
864 3 2 1 1 2 1 2 2 2
865 3 2 1 2 1 1 2 1 2
866 3 2 1 1 1 1 1 3 4
867 3 2 1 1 1 1 1 2 3
868 3 2 1 2 1 1 1 2 4
869 3 2 2 2 1 1 1 2 3
870 4 1 1 1 1 1 1 4 4
871 4 1 1 1 1 1 1 1 4
872 3 2 1 1 1 1 1 1 2
873 3 2 1 2 1 1 1 3 1
874 2 2 1 1 1 1 2 2 2
875 4 1 1 1 1 1 1 4 4
876 3 2 2 1 2 2 2 3 2
877 3 2 2 2 2 2 3 2 2
878 3 2 1 2 1 1 2 1 2
879 3 3 4 4 2 4 3 4 2
880 3 2 1 1 1 1 1 3 3
881 3 2 1 1 1 1 2 2 1
882 3 1 1 1 1 1 1 4 3
883 3 2 1 1 1 1 2 2 1
884 2 3 2 2 2 1 3 2 2
885 2 3 2 2 3 3 2 3 3
886 3 3 4 3 3 2 3 3 4
887 1 3 2 1 3 3 4 2 3
888 3 2 1 1 1 1 1 3 4
889 4 2 1 2 1 2 2 2 3
890 3 2 1 2 2 3 3 1 2
891 4 1 1 1 1 1 1 4 4
892 3 2 1 2 1 1 1 3 3
893 4 2 3 3 3 1 3 1 3
894 3 3 4 3 3 4 3 3 3
895 3 2 1 1 2 1 2 3 1
896 3 2 1 2 2 1 3 1 2
897 2 3 1 2 1 2 3 1 2
898 4 1 1 2 1 1 1 3 4
899 3 1 1 1 1 1 1 1 3
900 3 2 1 4 1 2 2 1 3
901 3 1 1 1 2 1 2 2 4
902 3 1 1 1 2 1 2 4 3
903 NA NA NA NA NA NA NA NA NA
904 NA NA NA NA NA NA NA NA NA
905 NA NA NA NA NA NA NA NA NA
906 NA NA NA NA NA NA NA NA NA
907 NA NA NA NA NA NA NA NA NA
908 NA NA NA NA NA NA NA NA NA
c82cop1 c83cop2 c84cop3 c85cop4 c86cop5 c87cop6 c88cop7 c89cop8 c90cop9
6 7 8 9 10 11 12 13 14
col.nr var.name var.label
1 5 e42dep elder's dependency
[1] "elder's dependency"
c172code
1 2
2 2
3 1
4 2
5 2
6 2
7 2
8 2
9 NA
10 2
11 2
12 2
13 3
14 1
15 3
16 2
17 2
18 2
19 3
20 3
21 2
22 2
23 2
24 2
25 2
26 2
27 3
28 2
29 2
30 1
31 2
32 1
33 2
34 2
35 2
36 1
37 2
38 2
39 2
40 2
41 3
42 2
43 3
44 2
45 2
46 2
47 2
48 NA
49 NA
50 2
51 2
52 2
53 2
54 2
55 3
56 2
57 2
58 3
59 2
60 2
61 NA
62 2
63 NA
64 3
65 2
66 3
67 3
68 2
69 2
70 NA
71 2
72 2
73 2
74 3
75 3
76 2
77 1
78 2
79 3
80 2
81 2
82 2
83 2
84 2
85 2
86 2
87 2
88 2
89 3
90 2
91 1
92 2
93 2
94 NA
95 NA
96 2
97 NA
98 NA
99 1
100 2
101 NA
102 2
103 1
104 NA
105 2
106 2
107 1
108 NA
109 2
110 2
111 2
112 2
113 3
114 2
115 2
116 1
117 2
118 2
119 1
120 1
121 3
122 1
123 1
124 2
125 2
126 2
127 2
128 2
129 3
130 1
131 1
132 2
133 1
134 1
135 2
136 3
137 1
138 2
139 1
140 2
141 2
142 NA
143 2
144 2
145 2
146 3
147 NA
148 NA
149 1
150 2
151 2
152 2
153 3
154 3
155 1
156 2
157 3
158 3
159 3
160 3
161 3
162 3
163 NA
164 2
165 3
166 3
167 NA
168 2
169 2
170 3
171 3
172 2
173 2
174 1
175 2
176 3
177 2
178 NA
179 3
180 2
181 1
182 3
183 2
184 NA
185 1
186 2
187 3
188 3
189 1
190 2
191 3
192 3
193 NA
194 2
195 2
196 1
197 3
198 3
199 1
200 NA
201 NA
202 2
203 3
204 2
205 1
206 2
207 2
208 2
209 1
210 NA
211 3
212 3
213 3
214 3
215 3
216 2
217 2
218 2
219 1
220 3
221 2
222 3
223 2
224 2
225 1
226 3
227 1
228 2
229 3
230 2
231 3
232 NA
233 NA
234 NA
235 NA
236 NA
237 2
238 2
239 2
240 2
241 2
242 2
243 1
244 NA
245 2
246 2
247 2
248 2
249 1
250 NA
251 NA
252 1
253 NA
254 2
255 2
256 2
257 2
258 1
259 2
260 3
261 2
262 3
263 2
264 1
265 2
266 NA
267 2
268 3
269 2
270 1
271 1
272 1
273 2
274 1
275 2
276 1
277 NA
278 NA
279 1
280 3
281 1
282 2
283 2
284 2
285 2
286 2
287 2
288 3
289 2
290 2
291 2
292 1
293 2
294 1
295 1
296 1
297 2
298 2
299 3
300 2
301 1
302 2
303 2
304 2
305 2
306 2
307 2
308 2
309 3
310 1
311 2
312 3
313 2
314 3
315 2
316 2
317 2
318 2
319 2
320 1
321 NA
322 2
323 3
324 3
325 3
326 1
327 2
328 1
329 2
330 2
331 2
332 2
333 2
334 1
335 2
336 3
337 1
338 2
339 3
340 2
341 2
342 2
343 2
344 2
345 2
346 2
347 2
348 3
349 2
350 3
351 3
352 1
353 2
354 1
355 1
356 1
357 2
358 2
359 1
360 1
361 1
362 2
363 1
364 1
365 2
366 1
367 2
368 NA
369 NA
370 2
371 2
372 2
373 2
374 2
375 2
376 1
377 2
378 2
379 2
380 2
381 2
382 2
383 2
384 2
385 1
386 2
387 2
388 NA
389 1
390 2
391 2
392 3
393 1
394 3
395 2
396 2
397 3
398 3
399 1
400 3
401 1
402 1
403 2
404 2
405 2
406 2
407 1
408 1
409 2
410 2
411 2
412 2
413 1
414 2
415 2
416 3
417 3
418 3
419 3
420 2
421 1
422 2
423 3
424 2
425 2
426 2
427 3
428 2
429 2
430 2
431 3
432 3
433 2
434 1
435 2
436 2
437 2
438 3
439 NA
440 1
441 1
442 2
443 2
444 3
445 1
446 2
447 2
448 2
449 2
450 1
451 2
452 2
453 3
454 2
455 2
456 3
457 1
458 1
459 3
460 3
461 3
462 2
463 2
464 1
465 2
466 2
467 1
468 1
469 2
470 2
471 1
472 2
473 2
474 2
475 1
476 2
477 1
478 2
479 2
480 2
481 1
482 3
483 3
484 2
485 3
486 2
487 NA
488 NA
489 NA
490 1
491 1
492 1
493 1
494 1
495 1
496 2
497 1
498 1
499 1
500 3
501 1
502 2
503 1
504 2
505 2
506 2
507 2
508 2
509 2
510 2
511 2
512 2
513 2
514 1
515 1
516 2
517 2
518 NA
519 1
520 2
521 3
522 3
523 1
524 2
525 2
526 2
527 2
528 2
529 2
530 2
531 2
532 2
533 2
534 2
535 2
536 3
537 3
538 2
539 2
540 2
541 2
542 2
543 2
544 2
545 3
546 2
547 2
548 1
549 1
550 1
551 2
552 2
553 2
554 2
555 2
556 2
557 1
558 1
559 1
560 1
561 1
562 2
563 1
564 2
565 3
566 2
567 2
568 1
569 1
570 3
571 2
572 1
573 2
574 1
575 1
576 2
577 2
578 3
579 NA
580 2
581 NA
582 1
583 3
584 1
585 2
586 2
587 2
588 2
589 2
590 1
591 1
592 2
593 1
594 1
595 2
596 2
597 2
598 1
599 1
600 2
601 3
602 1
603 2
604 2
605 3
606 3
607 2
608 1
609 3
610 2
611 2
612 2
613 2
614 2
615 2
616 2
617 2
618 2
619 3
620 1
621 2
622 2
623 2
624 2
625 3
626 2
627 2
628 3
629 3
630 NA
631 NA
632 1
633 1
634 3
635 3
636 2
637 2
638 1
639 2
640 2
641 2
642 2
643 2
644 3
645 2
646 2
647 2
648 3
649 2
650 2
651 2
652 2
653 2
654 2
655 2
656 2
657 3
658 2
659 1
660 2
661 2
662 2
663 3
664 2
665 NA
666 3
667 2
668 1
669 2
670 2
671 1
672 2
673 3
674 1
675 2
676 1
677 1
678 2
679 2
680 1
681 2
682 2
683 2
684 2
685 3
686 2
687 2
688 2
689 1
690 2
691 1
692 3
693 1
694 2
695 2
696 2
697 2
698 3
699 2
700 2
701 2
702 2
703 1
704 2
705 NA
706 2
707 1
708 1
709 1
710 2
711 1
712 3
713 2
714 2
715 2
716 2
717 2
718 1
719 NA
720 NA
721 2
722 2
723 1
724 2
725 2
726 2
727 2
728 2
729 NA
730 2
731 1
732 1
733 3
734 2
735 3
736 2
737 NA
738 1
739 3
740 2
741 2
742 2
743 2
744 2
745 1
746 1
747 2
748 2
749 3
750 2
751 1
752 2
753 3
754 3
755 1
756 2
757 2
758 2
759 2
760 1
761 2
762 2
763 2
764 3
765 2
766 2
767 1
768 2
769 3
770 2
771 2
772 3
773 2
774 1
775 1
776 2
777 1
778 NA
779 2
780 2
781 2
782 2
783 NA
784 3
785 2
786 2
787 NA
788 3
789 1
790 2
791 2
792 1
793 2
794 2
795 2
796 2
797 2
798 2
799 2
800 2
801 1
802 1
803 2
804 1
805 2
806 2
807 2
808 2
809 1
810 2
811 3
812 2
813 1
814 NA
815 1
816 2
817 1
818 1
819 2
820 2
821 2
822 2
823 2
824 2
825 2
826 2
827 2
828 3
829 3
830 2
831 3
832 2
833 2
834 2
835 2
836 2
837 2
838 2
839 2
840 3
841 2
842 3
843 2
844 2
845 2
846 2
847 NA
848 3
849 2
850 3
851 2
852 3
853 3
854 2
855 2
856 3
857 3
858 3
859 2
860 3
861 2
862 2
863 3
864 2
865 2
866 2
867 1
868 1
869 2
870 2
871 2
872 2
873 2
874 3
875 2
876 1
877 2
878 2
879 2
880 2
881 2
882 2
883 2
884 1
885 3
886 3
887 2
888 2
889 3
890 3
891 3
892 2
893 2
894 3
895 2
896 2
897 2
898 1
899 2
900 1
901 2
902 2
903 NA
904 NA
905 NA
906 NA
907 NA
908 NA
$c172code
[1] "low level of education" "intermediate level of education"
[3] "high level of education"
Warning message:
In checkMatrixPackageVersion() : Package version inconsistency detected.
TMB was built with Matrix version 1.2.15
Current Matrix version is 1.2.17
Please re-install 'TMB' from source using install.packages('TMB', type = 'source') or ask CRAN for a binary version of 'TMB' matching CRAN's 'Matrix' package
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sjmisc documentation built on Dec. 11, 2021, 9:34 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Examples
Description
This functions finds variables in a data frame, which variable names or variable (and value) label attribute match a specific pattern. Regular expression for the pattern is supported.
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | find_var(
data,
pattern,
ignore.case = TRUE,
search = c("name_label", "name_value", "label_value", "name", "label", "value",
"all"),
out = c("table", "df", "index"),
fuzzy = FALSE,
regex = FALSE
)
find_in_data(
data,
pattern,
ignore.case = TRUE,
search = c("name_label", "name_value", "label_value", "name", "label", "value",
"all"),
out = c("table", "df", "index"),
fuzzy = FALSE,
regex = FALSE
)
|
Arguments
data |
A data frame. |
pattern |
Character string to be matched in |
ignore.case |
Logical, whether matching should be case sensitive or not.
|
search |
Character string, indicating where
|
out |
Output (return) format of the search results. May be abbreviated and must be one of:
|
fuzzy |
Logical, if |
regex |
Logical, if |
Details
This function searches for pattern in data's column names
and - for labelled data - in all variable and value labels of data's
variables (see get_label for details on variable labels and
labelled data). Regular expressions are supported as well, by simply using
pattern = stringr::regex(...) or regex = TRUE.
Value
By default (i.e. out = "table", returns a data frame with three
columns: column number, variable name and variable label. If
out = "index", returns a named vector with column indices
of matching variables (variable names are used as names-attribute);
if out = "df", returns the matching variables as data frame
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | data(efc)
# find variables with "cop" in variable name
find_var(efc, "cop")
# return data frame with matching variables
find_var(efc, "cop", out = "df")
# or return column numbers
find_var(efc, "cop", out = "index")
# find variables with "dependency" in names and variable labels
library(sjlabelled)
find_var(efc, "dependency")
get_label(efc$e42dep)
# find variables with "level" in names and value labels
res <- find_var(efc, "level", search = "name_value", out = "df")
res
get_labels(res, attr.only = FALSE)
# use sjPlot::view_df() to view results
## Not run:
library(sjPlot)
view_df(res)
## End(Not run)
|
Example output
Install package "strengejacke" from GitHub (`devtools::install_github("strengejacke/strengejacke")`) to load all sj-packages at once!
col.nr var.name
1 6 c82cop1
2 7 c83cop2
3 8 c84cop3
4 9 c85cop4
5 10 c86cop5
6 11 c87cop6
7 12 c88cop7
8 13 c89cop8
9 14 c90cop9
var.label
1 do you feel you cope well as caregiver?
2 do you find caregiving too demanding?
3 does caregiving cause difficulties in your relationship with your friends?
4 does caregiving have negative effect on your physical health?
5 does caregiving cause difficulties in your relationship with your family?
6 does caregiving cause financial difficulties?
7 do you feel trapped in your role as caregiver?
8 do you feel supported by friends/neighbours?
9 do you feel caregiving worthwhile?
c82cop1 c83cop2 c84cop3 c85cop4 c86cop5 c87cop6 c88cop7 c89cop8 c90cop9
1 3 2 2 2 1 1 2 3 3
2 3 3 3 3 4 1 3 2 2
3 2 2 1 4 1 1 1 4 3
4 4 1 3 1 1 1 1 2 4
5 3 2 1 2 2 2 1 4 4
6 2 2 3 3 3 2 2 1 1
7 4 2 4 1 1 2 4 1 4
8 3 2 2 1 1 1 2 3 3
9 3 2 3 2 2 1 3 1 3
10 3 2 1 2 1 1 1 1 3
11 3 4 4 4 4 4 4 1 1
12 3 3 3 1 3 1 4 3 1
13 3 2 2 2 2 1 2 4 4
14 3 2 4 4 1 1 2 4 4
15 2 3 3 3 2 2 1 1 1
16 4 2 1 3 3 1 2 1 3
17 3 2 1 2 1 1 2 4 4
18 4 2 1 2 1 1 2 3 3
19 3 2 1 2 2 1 3 1 4
20 3 2 4 2 1 3 3 2 2
21 3 2 3 2 1 1 1 1 3
22 4 1 2 1 1 1 1 2 2
23 3 1 1 1 1 1 1 2 4
24 3 2 2 4 1 1 2 3 4
25 3 2 1 2 1 1 2 3 3
26 2 3 4 4 3 1 4 1 4
27 2 3 3 NA 1 1 4 2 2
28 2 2 2 2 1 1 1 3 2
29 3 2 2 2 4 1 2 2 1
30 2 2 1 2 1 1 1 2 4
31 3 2 4 4 4 4 4 1 3
32 3 1 3 1 1 1 1 1 4
33 3 2 2 3 1 1 3 1 1
34 2 2 4 4 2 1 4 2 3
35 3 2 1 2 1 1 1 3 4
36 3 2 1 2 1 1 1 4 4
37 3 4 3 2 1 1 4 1 1
38 3 1 1 2 1 1 1 4 4
39 3 2 3 4 1 3 2 1 4
40 2 3 2 3 2 1 2 3 3
41 4 3 2 2 3 1 4 1 3
42 4 2 1 3 1 3 2 1 4
43 3 2 3 3 1 2 1 3 3
44 3 3 2 3 2 1 3 1 2
45 3 4 2 2 2 2 4 2 2
46 2 3 1 3 1 2 4 3 1
47 3 2 3 3 1 4 2 1 2
48 3 3 2 3 1 1 2 3 3
49 3 2 3 3 1 1 3 2 4
50 2 4 4 3 1 1 3 2 1
51 3 3 4 2 1 2 3 1 4
52 4 2 2 1 1 1 1 3 NA
53 2 2 4 2 1 1 2 1 1
54 3 2 3 2 2 1 2 2 2
55 4 2 1 2 1 1 1 3 3
56 4 2 2 2 1 2 1 1 4
57 NA 3 4 4 3 3 4 1 4
58 3 3 2 NA 3 3 3 4 2
59 2 2 1 2 3 1 4 3 3
60 2 4 4 4 1 3 4 1 2
61 4 2 4 2 2 1 1 1 3
62 3 2 4 3 1 2 1 3 4
63 3 1 1 1 1 1 1 4 4
64 2 2 2 3 1 4 4 2 4
65 3 2 2 1 1 1 2 3 NA
66 3 2 2 2 1 1 4 1 4
67 2 3 1 1 1 1 4 3 1
68 3 2 1 1 1 2 2 3 4
69 3 3 1 4 1 1 1 1 4
70 2 3 4 2 1 1 3 1 4
71 4 1 1 1 1 1 1 4 4
72 3 2 2 3 3 1 2 2 3
73 3 2 1 2 1 2 1 3 4
74 2 3 2 4 1 1 4 2 1
75 3 2 2 1 2 1 1 4 4
76 3 2 1 2 1 1 1 1 3
77 2 4 4 4 1 1 4 4 1
78 3 2 1 1 1 1 2 2 3
79 2 3 1 1 1 1 3 2 2
80 3 2 2 2 1 2 3 2 2
81 4 1 1 1 1 1 1 1 4
82 4 2 1 2 1 3 1 3 3
83 3 2 1 4 1 1 1 2 4
84 3 3 2 4 2 1 2 3 3
85 3 2 3 1 1 1 1 1 4
86 3 2 1 4 2 2 2 1 4
87 3 2 1 2 3 3 2 1 2
88 3 3 2 2 1 1 3 3 3
89 3 3 3 4 4 3 4 3 1
90 3 3 2 1 1 1 1 3 3
91 3 1 1 3 1 1 1 2 4
92 3 2 2 1 1 1 2 3 4
93 3 2 1 3 1 1 2 2 2
94 3 3 1 2 1 1 1 1 3
95 3 2 1 2 1 1 2 4 4
96 3 2 1 2 2 1 2 1 4
97 3 2 2 2 1 1 2 3 NA
98 3 2 1 2 1 1 1 3 3
99 3 2 2 2 1 1 2 3 3
100 3 3 4 2 2 2 3 2 2
101 3 2 3 3 1 1 1 1 2
102 3 2 2 2 1 1 2 2 2
103 4 2 1 2 1 1 1 1 4
104 3 2 1 2 1 1 1 4 2
105 3 2 2 2 2 1 2 2 3
106 3 2 2 2 3 1 2 4 3
107 4 2 1 1 1 1 2 4 4
108 4 1 1 1 1 1 1 4 4
109 3 2 1 2 1 1 4 2 2
110 3 2 2 2 2 1 2 3 3
111 3 2 1 2 1 2 2 2 4
112 3 2 2 1 2 1 2 2 1
113 3 3 3 2 1 2 4 1 2
114 4 1 1 1 1 1 1 4 4
115 3 2 2 2 1 2 2 3 3
116 3 2 2 3 2 1 2 1 3
117 3 2 2 1 1 1 2 1 3
118 3 3 3 2 1 2 2 2 3
119 4 2 4 2 1 1 3 1 3
120 3 2 1 4 1 1 2 1 1
121 4 1 1 1 1 2 1 3 4
122 3 3 4 2 1 1 3 1 NA
123 3 3 4 1 1 2 3 2 NA
124 3 4 4 4 1 1 4 1 2
125 2 2 2 2 1 1 4 4 4
126 3 2 1 3 1 1 4 3 3
127 4 1 1 1 1 1 2 2 NA
128 3 2 1 3 2 1 2 1 NA
129 3 1 1 1 2 1 1 1 4
130 4 1 2 2 1 3 4 1 4
131 2 2 3 3 1 2 3 2 2
132 3 2 1 1 1 1 1 4 4
133 3 2 1 4 1 1 2 2 2
134 1 2 3 2 1 NA 4 1 NA
135 4 2 2 2 2 1 3 1 2
136 3 2 2 1 2 1 2 1 3
137 3 4 3 2 2 1 4 1 1
138 4 1 1 1 1 1 1 4 4
139 4 1 2 2 1 2 1 3 4
140 3 2 1 3 1 1 2 3 3
141 3 2 2 3 3 3 4 2 2
142 3 2 1 2 2 1 2 1 3
143 2 3 2 2 2 1 2 1 2
144 4 2 1 NA 1 1 1 4 NA
145 3 2 2 2 2 1 2 2 4
146 3 2 2 1 1 1 2 2 4
147 4 2 1 NA 2 1 2 3 1
148 3 2 2 2 1 1 2 1 3
149 3 2 1 2 1 1 2 3 3
150 3 2 2 1 2 2 3 2 3
151 4 2 1 2 1 1 3 1 4
152 4 2 2 3 1 1 2 1 3
153 3 1 1 1 2 1 1 1 3
154 4 2 3 1 1 1 2 3 3
155 4 2 1 2 1 2 2 3 4
156 3 1 2 1 1 1 2 2 2
157 2 1 1 2 1 1 2 3 4
158 4 4 1 4 1 1 2 4 4
159 3 2 2 2 1 1 2 1 3
160 3 2 1 2 1 1 2 3 3
161 3 2 1 1 2 2 3 1 3
162 3 2 4 2 1 1 3 2 4
163 1 3 1 4 2 1 3 1 1
164 3 2 1 2 1 1 2 NA 3
165 3 2 1 2 1 1 2 3 4
166 4 3 2 3 1 1 3 3 4
167 4 4 1 1 2 1 NA 1 NA
168 3 2 1 3 1 1 4 1 NA
169 2 3 1 2 1 1 2 3 1
170 3 2 1 1 1 1 2 4 NA
171 3 2 1 1 1 1 2 4 4
172 4 2 3 1 1 1 2 1 2
173 3 2 1 1 1 1 1 4 4
174 4 2 2 1 1 1 1 2 4
175 4 1 2 2 1 1 2 1 4
176 3 2 1 2 1 1 1 1 3
177 2 2 1 2 1 1 2 1 1
178 3 2 2 2 1 1 3 1 2
179 4 1 1 1 1 1 1 1 2
180 4 2 1 2 1 1 1 1 4
181 4 2 2 3 1 1 1 1 4
182 3 2 2 2 1 1 2 1 3
183 3 2 3 2 1 1 4 1 1
184 3 2 1 1 1 1 2 4 3
185 3 2 2 3 2 1 3 2 NA
186 3 3 1 2 1 1 3 3 3
187 4 3 3 4 1 4 NA 2 4
188 2 3 3 4 2 1 3 2 3
189 3 1 1 1 1 1 1 1 3
190 3 2 2 2 1 1 2 3 3
191 3 3 3 3 1 2 3 3 3
192 3 4 1 2 1 1 3 4 4
193 3 2 1 1 2 1 1 1 2
194 3 2 1 2 1 2 2 2 3
195 3 2 1 1 1 1 1 4 4
196 3 1 1 1 1 1 1 4 4
197 3 2 2 2 1 1 4 3 3
198 3 3 1 2 1 1 2 1 3
199 3 2 2 2 2 1 2 4 1
200 3 1 1 1 2 1 1 1 3
201 4 1 1 1 1 1 1 2 4
202 2 3 4 4 2 1 3 1 1
203 4 1 1 1 1 1 1 3 4
204 2 3 2 2 1 1 3 2 1
205 4 1 1 1 1 1 1 1 3
206 3 3 1 1 1 1 1 1 3
207 3 2 1 2 2 3 2 2 4
208 4 2 2 2 1 1 2 1 4
209 3 2 3 2 1 1 1 4 4
210 3 2 1 2 1 1 2 1 2
211 3 2 2 2 2 1 1 1 3
212 2 3 2 4 2 2 2 1 3
213 3 1 2 1 1 1 1 1 3
214 2 2 1 2 1 1 3 2 1
215 4 1 4 1 2 2 4 2 3
216 3 1 1 1 1 1 2 4 4
217 4 2 2 2 2 1 2 2 4
218 3 2 1 2 1 4 2 1 1
219 4 2 2 1 2 1 1 2 4
220 4 1 1 1 2 1 1 4 4
221 3 2 1 1 2 1 3 3 1
222 3 3 3 4 4 3 4 3 3
223 3 2 1 1 2 1 2 3 2
224 3 2 1 2 1 1 2 3 3
225 3 4 1 1 1 1 4 1 3
226 3 2 1 1 1 1 1 1 3
227 3 3 1 1 1 1 3 1 4
228 2 4 2 4 2 1 4 1 2
229 3 1 2 2 2 1 2 3 3
230 3 4 1 2 1 1 3 3 4
231 3 3 3 1 3 1 2 2 4
232 3 4 4 1 3 2 3 4 4
233 4 2 1 2 1 1 1 2 4
234 3 3 1 1 2 1 2 1 3
235 2 2 1 2 1 1 3 1 4
236 3 2 2 1 2 1 2 1 3
237 4 2 2 1 1 1 2 1 3
238 3 2 1 1 1 1 2 2 3
239 4 2 1 1 2 1 1 3 3
240 3 2 1 2 1 1 1 4 4
241 3 1 2 1 1 1 1 4 3
242 3 2 1 2 1 1 1 3 4
243 3 2 2 2 2 1 1 3 2
244 3 2 1 1 1 1 2 3 3
245 3 2 1 1 1 1 2 3 3
246 3 2 1 2 2 1 2 2 4
247 3 1 1 1 1 1 1 2 3
248 3 2 1 1 1 2 1 2 2
249 3 2 1 1 1 2 2 1 3
250 3 2 1 1 2 1 2 2 3
251 3 2 1 2 1 1 3 2 2
252 3 2 2 2 1 1 2 3 2
253 3 2 1 3 1 2 2 2 4
254 3 1 3 2 2 1 2 2 3
255 3 2 2 2 2 1 1 1 2
256 2 3 3 2 3 1 4 1 2
257 3 2 1 2 2 1 2 3 3
258 3 4 1 2 1 1 4 4 2
259 3 2 3 1 2 1 1 4 3
260 3 2 2 2 4 3 1 1 2
261 2 2 1 1 1 1 1 1 4
262 3 2 4 2 1 1 1 1 4
263 3 2 2 1 1 1 2 1 1
264 3 3 2 1 1 1 1 1 2
265 4 1 2 1 1 1 1 3 4
266 3 1 1 2 1 2 2 2 3
267 3 2 4 3 3 2 2 3 1
268 3 4 2 1 1 1 4 1 1
269 3 2 1 1 1 1 2 1 3
270 2 4 3 2 1 2 4 1 2
271 3 1 1 1 1 1 2 2 2
272 3 1 2 1 1 1 2 3 2
273 3 2 2 1 1 1 1 3 2
274 4 1 2 1 1 1 2 4 3
275 3 3 2 1 2 1 2 1 3
276 4 3 1 1 1 2 2 2 2
277 3 2 1 1 2 1 1 2 3
278 3 2 2 1 1 1 1 1 3
279 4 2 1 1 2 1 1 1 3
280 3 2 1 1 1 1 1 3 4
281 3 2 1 1 1 1 2 3 4
282 3 1 1 1 1 1 2 4 4
283 3 2 1 1 1 1 1 4 4
284 3 2 1 2 2 1 1 4 4
285 3 2 1 1 1 1 2 4 4
286 3 1 1 1 3 1 2 3 4
287 2 2 1 2 1 2 2 2 2
288 3 2 1 2 1 1 1 2 4
289 3 3 3 3 1 1 4 1 2
290 2 3 3 2 3 1 4 1 4
291 2 2 1 3 1 1 2 1 2
292 4 1 1 1 1 1 1 2 3
293 4 1 1 1 1 1 1 1 1
294 4 1 1 1 1 1 1 1 4
295 3 2 1 1 1 1 1 1 3
296 3 2 1 1 1 1 1 1 3
297 3 2 3 1 1 2 2 3 2
298 4 1 1 1 1 1 1 2 3
299 3 1 2 1 1 1 1 2 3
300 4 1 1 1 1 2 1 3 4
301 3 2 2 3 1 2 3 2 4
302 2 2 1 2 1 1 1 1 1
303 4 3 2 2 1 3 2 1 1
304 3 2 2 2 2 1 2 2 4
305 3 2 1 1 1 1 1 1 4
306 4 2 4 4 2 4 2 4 4
307 2 2 3 2 1 2 4 3 4
308 3 2 1 2 1 1 1 2 3
309 3 2 1 1 1 1 2 2 2
310 3 1 1 2 1 1 1 4 3
311 3 2 1 3 1 3 2 1 3
312 3 2 2 3 2 2 2 3 2
313 3 2 3 3 2 3 3 3 2
314 3 2 1 1 1 1 1 3 4
315 3 2 1 2 1 2 2 2 3
316 3 3 4 2 1 2 3 2 4
317 3 2 2 1 1 3 2 3 3
318 3 2 2 3 1 2 2 2 2
319 3 2 2 1 1 1 2 1 3
320 4 2 1 2 1 1 1 1 4
321 3 2 1 2 1 1 2 4 4
322 4 3 1 1 1 1 1 3 4
323 3 2 1 1 1 1 1 3 4
324 3 3 1 2 1 1 1 2 2
325 3 2 1 1 1 1 1 2 3
326 3 2 1 1 1 1 2 3 3
327 3 3 1 4 1 1 2 1 4
328 3 2 2 2 1 2 2 2 2
329 4 2 1 1 1 1 1 1 4
330 3 2 1 1 1 1 2 1 1
331 4 2 1 1 1 1 2 1 2
332 3 2 1 2 2 1 2 3 4
333 3 2 2 2 2 1 2 2 3
334 3 1 3 2 1 1 2 1 4
335 4 1 1 1 1 1 1 4 4
336 4 1 2 1 1 1 1 1 4
337 3 3 1 4 1 1 4 1 2
338 4 1 1 2 1 1 2 1 4
339 3 3 1 3 1 2 4 3 3
340 4 1 1 1 1 1 1 3 4
341 3 2 1 1 1 1 1 1 4
342 3 2 1 2 2 1 2 2 4
343 3 2 1 1 1 1 2 2 3
344 4 1 1 1 1 1 1 2 4
345 3 2 1 1 1 1 2 2 3
346 4 1 2 1 1 1 2 1 2
347 3 1 1 1 1 1 1 1 3
348 3 3 4 1 1 1 4 1 4
349 4 1 1 1 1 1 1 1 4
350 4 2 1 1 1 1 1 3 3
351 3 2 1 1 1 2 1 3 3
352 4 1 1 1 1 1 1 2 4
353 3 2 1 1 1 1 2 1 2
354 4 1 2 1 1 1 2 3 3
355 3 1 2 1 1 1 2 3 2
356 2 4 3 2 1 2 4 1 2
357 3 2 1 1 1 1 2 2 3
358 3 2 3 1 1 1 1 2 3
359 3 2 2 2 2 1 2 1 2
360 4 1 1 1 1 1 2 2 4
361 3 2 2 2 1 1 2 2 3
362 3 2 1 1 1 1 1 2 2
363 4 1 1 1 1 1 1 3 3
364 4 2 1 1 1 2 1 3 4
365 4 1 1 1 1 1 2 1 2
366 4 1 1 1 1 1 1 1 4
367 4 1 1 1 1 1 1 1 4
368 3 2 2 2 1 1 2 2 3
369 3 2 2 1 2 1 2 2 2
370 3 1 1 1 1 1 1 3 4
371 3 1 1 1 1 1 2 3 3
372 3 2 1 1 1 1 2 3 3
373 3 2 3 3 4 1 3 1 3
374 2 4 1 3 1 2 3 1 1
375 3 2 2 2 1 1 1 3 1
376 3 3 2 2 1 1 2 1 1
377 4 2 1 1 1 1 2 2 1
378 4 1 1 2 2 1 1 4 4
379 3 1 2 2 1 1 1 4 4
380 3 2 1 2 2 1 2 1 2
381 2 2 4 2 1 2 4 1 4
382 3 2 2 1 1 1 3 1 2
383 2 2 2 2 2 1 2 2 4
384 3 4 2 2 3 1 3 1 2
385 3 2 1 1 1 1 1 3 4
386 3 2 1 1 1 1 1 3 3
387 4 1 1 1 1 1 1 4 4
388 3 2 2 2 2 4 2 3 3
389 3 2 2 1 2 1 2 3 4
390 3 2 2 2 2 1 2 2 1
391 3 3 1 3 2 1 3 2 2
392 2 2 2 1 1 1 2 1 3
393 2 3 1 1 1 1 1 1 3
394 3 2 3 3 3 2 2 3 3
395 3 2 2 3 3 2 2 2 3
396 3 2 3 3 4 3 3 2 3
397 3 2 3 3 1 2 3 4 3
398 3 2 2 3 3 2 2 1 2
399 3 3 1 3 1 2 3 2 2
400 3 1 1 2 1 1 1 1 4
401 3 2 1 2 1 2 2 2 3
402 3 2 1 2 1 2 2 1 3
403 4 4 4 2 3 1 4 1 2
404 4 2 1 2 2 1 1 2 4
405 3 2 1 2 2 3 2 2 2
406 3 2 1 1 1 1 3 1 3
407 3 2 1 1 1 1 2 1 4
408 3 2 1 1 1 1 1 3 3
409 3 2 2 2 2 1 1 3 1
410 3 2 2 2 2 1 2 1 1
411 3 2 2 3 1 1 2 4 4
412 3 2 1 1 1 1 2 1 3
413 3 2 1 2 1 1 2 4 2
414 3 2 1 2 2 1 2 2 2
415 3 2 1 1 1 1 2 3 3
416 2 2 1 2 1 1 2 3 3
417 2 3 1 2 1 1 3 2 2
418 3 2 1 2 1 1 2 3 2
419 3 3 3 2 2 2 3 1 2
420 3 2 1 2 1 1 1 2 3
421 4 2 2 4 3 1 3 1 3
422 3 1 1 2 1 2 2 3 4
423 3 2 2 3 3 1 3 1 3
424 3 2 1 1 2 1 2 3 3
425 3 2 1 1 1 1 3 1 2
426 4 2 4 2 1 1 2 1 1
427 3 2 2 2 1 1 2 1 3
428 3 2 1 3 1 1 1 4 4
429 3 2 2 2 1 1 1 1 4
430 4 2 1 2 1 1 2 4 4
431 3 2 1 1 1 1 1 2 3
432 2 2 2 2 2 1 3 3 3
433 3 2 2 2 1 1 2 3 2
434 3 2 1 2 1 1 2 3 3
435 3 3 1 2 2 1 2 1 2
436 3 2 2 2 2 1 2 2 3
437 2 2 2 2 2 1 2 1 2
438 3 2 2 1 2 1 2 3 4
439 4 1 2 1 1 1 2 1 3
440 3 2 2 2 2 1 2 1 2
441 3 2 2 1 1 1 2 2 3
442 3 2 2 3 3 1 2 1 4
443 3 4 4 2 2 2 2 2 4
444 3 2 1 1 2 1 2 1 2
445 2 2 2 2 2 1 3 1 2
446 3 2 2 2 1 1 1 2 3
447 3 2 2 1 1 2 2 1 3
448 3 2 2 2 1 1 2 2 1
449 3 2 2 2 2 2 2 2 2
450 3 2 2 2 3 2 2 2 3
451 4 2 1 1 1 1 1 3 3
452 3 2 1 1 1 1 2 3 4
453 3 2 1 1 1 1 1 1 4
454 4 1 1 1 1 1 1 3 4
455 4 1 1 1 1 1 1 2 3
456 2 3 2 3 1 3 3 1 1
457 4 1 1 1 1 1 1 4 4
458 3 1 1 1 1 1 1 1 3
459 3 1 1 1 1 1 1 1 3
460 4 2 1 2 1 1 2 2 4
461 3 1 1 1 1 1 2 3 3
462 3 1 1 2 1 1 1 1 4
463 3 2 2 2 1 1 2 3 3
464 3 2 3 1 3 1 3 1 3
465 2 2 1 3 2 2 1 3 4
466 3 4 1 2 2 1 2 1 3
467 3 4 2 2 1 1 2 1 3
468 4 1 1 1 1 1 1 2 4
469 3 1 2 1 2 1 1 1 2
470 4 1 1 1 1 1 1 1 3
471 3 4 1 3 1 1 4 1 3
472 4 1 1 1 1 1 1 4 4
473 3 2 1 2 1 2 1 2 2
474 3 2 1 1 1 1 2 3 4
475 4 1 1 1 1 1 2 4 3
476 4 1 1 1 1 1 1 4 4
477 3 2 1 2 1 1 3 1 2
478 3 3 2 3 2 1 2 1 3
479 4 1 1 1 1 1 1 3 4
480 3 2 1 1 1 1 2 3 3
481 3 3 3 4 1 2 4 1 4
482 3 1 1 1 1 1 1 3 3
483 4 2 1 1 1 1 1 3 4
484 3 3 1 1 1 1 1 2 4
485 3 2 1 2 2 2 1 1 3
486 4 2 1 2 1 1 2 2 4
487 4 2 2 2 2 2 2 3 3
488 3 1 1 1 1 1 1 2 2
489 4 1 1 1 2 1 1 1 3
490 4 2 1 1 1 1 1 1 2
491 4 2 2 1 1 1 2 4 3
492 3 1 2 1 1 1 1 1 3
493 3 2 3 1 1 1 2 1 3
494 3 2 2 1 1 1 2 1 2
495 3 3 2 2 1 2 2 1 2
496 3 1 2 1 4 1 1 3 3
497 3 1 1 1 1 1 2 2 2
498 3 2 2 2 1 1 2 3 2
499 2 4 3 2 1 2 3 1 2
500 4 1 2 1 1 1 2 3 3
501 3 3 3 4 3 1 4 4 3
502 4 2 1 1 1 1 1 3 1
503 4 2 1 1 1 1 2 3 3
504 4 3 3 3 3 1 3 3 2
505 4 2 3 1 1 1 1 1 2
506 3 3 2 2 1 3 4 2 2
507 3 2 2 2 3 3 2 2 2
508 3 3 2 2 3 3 2 2 4
509 3 2 2 1 2 2 3 3 2
510 2 3 2 4 1 1 4 1 1
511 3 2 1 1 1 1 2 3 3
512 2 3 2 2 1 1 2 2 1
513 3 2 2 2 2 2 3 2 4
514 3 1 1 1 1 1 1 2 3
515 4 1 1 1 1 1 2 1 3
516 2 3 3 4 2 2 4 2 1
517 4 1 2 1 1 1 1 2 4
518 3 3 3 4 1 4 3 3 NA
519 3 4 2 3 1 2 4 3 2
520 3 2 2 1 1 2 1 2 4
521 3 1 1 1 1 1 1 3 3
522 3 4 4 4 2 3 4 4 4
523 3 2 1 1 1 1 2 1 2
524 4 1 2 1 1 1 2 1 3
525 4 1 1 1 1 1 1 1 4
526 3 1 2 1 2 1 2 1 1
527 3 2 1 1 2 1 1 2 2
528 3 2 1 1 1 1 1 1 4
529 3 1 1 3 2 1 1 1 2
530 3 2 1 1 2 1 1 3 4
531 3 2 2 3 4 1 4 1 2
532 4 1 1 1 1 1 1 4 4
533 3 2 2 2 1 1 2 3 3
534 3 1 1 1 2 1 2 3 3
535 3 2 1 1 1 1 2 2 3
536 4 1 1 1 2 1 1 3 3
537 3 2 1 1 1 1 2 2 3
538 2 2 1 1 1 1 1 2 3
539 2 3 1 2 1 4 4 1 3
540 3 2 2 2 1 1 2 1 2
541 2 2 2 1 1 NA 3 1 3
542 3 2 1 1 1 1 1 3 3
543 3 1 2 1 1 1 2 2 4
544 3 1 2 1 1 1 1 3 4
545 4 1 1 1 1 1 1 3 4
546 3 2 1 1 1 1 1 3 4
547 4 1 1 1 1 2 1 3 4
548 3 3 3 2 2 1 3 2 2
549 2 4 3 2 1 2 3 1 2
550 3 1 1 1 1 1 2 2 2
551 4 2 1 2 1 1 1 3 4
552 4 2 1 2 1 1 1 3 4
553 4 2 1 2 1 1 1 1 3
554 4 1 1 2 1 1 2 3 4
555 3 1 1 1 1 1 1 3 3
556 4 1 1 2 1 1 1 4 4
557 3 3 4 4 4 4 4 4 4
558 4 4 4 4 3 3 4 4 4
559 3 2 3 2 1 1 3 1 4
560 4 4 4 4 4 4 4 4 4
561 3 3 2 2 2 1 2 2 4
562 4 2 1 2 1 1 2 1 4
563 3 2 2 4 1 1 3 1 4
564 3 1 1 1 1 1 1 1 1
565 4 2 1 2 1 1 1 2 4
566 4 1 1 1 1 1 1 3 4
567 4 1 1 1 1 1 1 2 4
568 3 2 1 1 1 1 1 2 4
569 3 2 1 3 1 2 2 3 3
570 2 3 4 4 1 1 3 1 4
571 3 3 3 2 1 1 3 2 3
572 3 2 1 4 1 2 2 3 3
573 3 4 2 3 2 4 3 1 2
574 2 2 2 2 4 2 4 1 3
575 4 2 1 3 1 2 3 1 2
576 3 2 1 2 1 1 2 1 1
577 3 2 1 2 2 1 1 1 2
578 3 2 3 2 2 2 2 1 3
579 4 1 1 1 1 1 1 4 4
580 3 2 2 2 2 2 2 1 3
581 3 2 1 2 1 1 2 1 4
582 3 2 2 2 2 1 2 1 2
583 2 2 2 2 2 2 3 1 2
584 2 3 1 3 1 1 1 3 1
585 4 2 2 1 1 1 2 3 3
586 2 3 3 2 3 1 2 1 2
587 3 2 1 1 2 1 2 3 3
588 4 2 2 2 2 1 1 1 1
589 3 2 1 2 1 1 1 4 2
590 3 1 1 1 1 1 1 3 4
591 3 2 1 1 1 1 1 3 2
592 2 3 2 2 1 1 3 2 2
593 3 3 2 2 1 1 2 2 2
594 3 3 1 2 1 1 2 3 4
595 4 1 1 1 1 1 1 2 4
596 3 2 4 1 2 3 3 1 2
597 2 3 3 3 2 1 2 3 3
598 4 2 1 2 1 1 2 2 2
599 2 3 3 3 3 1 2 3 3
600 3 2 2 4 2 2 2 2 4
601 3 2 3 2 1 1 2 3 2
602 3 2 1 2 1 1 1 2 3
603 3 3 4 3 1 1 3 4 2
604 4 1 1 1 1 1 1 4 4
605 3 1 1 1 2 1 1 3 4
606 2 1 1 1 2 1 2 1 1
607 3 2 4 4 2 3 1 2 3
608 3 3 2 1 3 3 2 2 3
609 3 3 3 2 3 3 3 2 3
610 4 1 1 1 1 2 1 3 4
611 3 3 1 1 2 1 2 2 4
612 3 2 2 1 1 1 2 2 3
613 2 2 2 3 2 1 2 2 2
614 4 2 1 1 1 1 2 4 3
615 4 2 4 3 1 1 1 1 4
616 3 2 1 1 2 1 1 3 2
617 4 2 1 1 1 1 1 2 3
618 4 2 1 1 1 1 1 1 4
619 3 2 1 1 1 1 2 2 3
620 3 2 2 2 2 1 2 2 4
621 3 2 1 2 1 1 2 3 2
622 3 1 1 1 1 1 1 1 3
623 3 2 1 1 1 1 1 2 3
624 4 1 1 2 1 1 1 4 4
625 2 3 3 4 2 2 3 1 1
626 3 2 1 1 1 1 1 1 4
627 3 3 1 1 2 1 1 1 4
628 3 3 1 1 1 1 1 3 3
629 3 2 1 1 1 1 2 2 3
630 4 1 1 4 1 1 2 1 4
631 3 1 1 2 1 1 2 1 4
632 3 2 1 2 1 2 1 2 2
633 2 2 1 1 1 2 1 3 2
634 4 2 2 2 1 2 2 2 1
635 3 3 3 2 2 2 3 2 1
636 2 2 2 1 1 1 1 2 3
637 3 2 1 1 1 1 1 2 3
638 3 2 1 1 1 1 1 2 3
639 3 2 1 1 1 1 1 1 3
640 3 2 4 1 1 1 2 1 2
641 3 2 2 2 2 1 3 2 2
642 3 4 2 2 1 1 3 4 4
643 4 2 1 1 1 1 2 3 4
644 4 2 2 2 1 2 1 3 4
645 4 2 1 1 1 1 1 3 4
646 3 2 2 2 1 2 1 2 3
647 3 1 1 2 1 2 1 1 3
648 3 2 1 2 2 1 1 2 3
649 3 2 1 2 1 1 2 3 3
650 3 2 1 1 2 1 1 2 3
651 3 2 1 2 1 1 1 4 4
652 3 2 1 2 2 1 1 1 4
653 3 3 1 2 1 1 2 1 2
654 3 2 1 4 2 1 1 1 4
655 4 1 1 1 1 1 1 1 4
656 4 2 1 1 1 1 1 4 4
657 3 2 2 2 2 1 1 1 4
658 3 2 1 1 1 1 1 3 4
659 4 1 1 2 1 1 1 2 4
660 3 2 3 2 2 1 2 1 4
661 3 1 1 1 1 1 4 4 4
662 3 2 2 1 2 1 2 3 3
663 2 2 2 2 2 2 3 1 2
664 3 2 1 1 1 1 1 2 4
665 3 2 1 2 1 1 1 3 3
666 3 3 1 2 1 1 3 3 3
667 2 3 1 1 1 1 2 3 3
668 3 2 1 1 1 1 2 1 1
669 3 2 1 1 1 1 2 1 2
670 3 2 2 1 2 1 2 3 3
671 3 2 1 1 1 2 2 3 1
672 3 2 1 1 1 1 2 2 2
673 3 2 2 1 1 1 2 2 2
674 3 2 1 1 1 1 1 4 4
675 2 2 4 1 1 1 2 1 1
676 3 2 1 1 1 1 3 2 4
677 3 2 1 2 1 1 1 3 4
678 3 2 2 1 1 1 2 3 4
679 2 2 1 1 1 1 1 1 3
680 3 1 1 1 1 1 1 3 4
681 4 2 1 1 1 1 1 4 3
682 4 1 1 1 1 1 1 3 3
683 3 1 1 1 1 1 1 3 4
684 3 2 1 1 1 1 2 3 3
685 3 2 1 1 1 1 1 4 3
686 3 2 2 2 1 1 2 1 2
687 3 2 1 1 1 1 2 1 3
688 3 2 1 2 1 1 2 1 2
689 2 2 2 1 2 1 2 3 3
690 3 2 2 1 1 1 2 2 2
691 4 1 1 1 1 1 1 4 4
692 3 3 2 2 2 2 2 3 3
693 3 2 2 3 1 1 1 3 3
694 3 2 1 2 1 1 1 2 3
695 4 2 1 1 1 1 1 4 3
696 2 2 2 2 1 1 2 2 3
697 2 4 3 4 2 3 4 2 2
698 3 2 1 1 1 2 2 2 2
699 3 2 1 2 1 1 2 3 3
700 2 3 2 2 2 2 4 3 2
701 3 2 2 2 2 1 2 2 2
702 3 2 2 2 1 1 2 2 2
703 3 2 2 4 3 2 2 3 3
704 3 2 1 1 1 1 1 3 3
705 3 2 1 2 2 1 2 4 3
706 3 2 2 2 2 1 2 3 3
707 3 2 1 1 1 1 1 3 2
708 4 1 1 1 1 1 1 2 2
709 3 2 1 2 1 1 1 2 2
710 4 1 1 1 1 1 1 2 3
711 3 2 1 1 1 1 1 3 3
712 2 4 3 3 1 1 2 1 3
713 3 2 1 1 1 1 3 1 2
714 3 2 2 3 1 1 3 1 3
715 3 2 1 2 1 1 2 2 3
716 3 2 1 4 4 4 4 4 3
717 3 2 2 2 1 1 4 3 2
718 3 2 1 1 1 1 1 1 2
719 3 1 1 1 1 1 1 1 4
720 3 2 2 2 2 1 4 2 2
721 3 2 1 1 1 1 1 3 4
722 3 2 1 2 1 2 2 4 4
723 3 2 1 1 1 1 1 3 3
724 3 2 2 2 2 2 3 3 2
725 3 2 3 3 2 2 2 1 2
726 3 2 2 2 2 1 2 2 2
727 3 2 2 2 2 1 2 3 2
728 3 1 1 1 2 2 1 1 2
729 3 3 2 4 3 2 2 2 3
730 3 2 1 1 1 1 2 3 3
731 3 2 1 2 1 1 2 3 2
732 3 4 3 3 3 4 4 1 2
733 4 2 1 2 1 1 1 3 3
734 3 3 2 1 1 1 2 3 4
735 4 2 1 2 1 1 1 1 4
736 3 2 1 3 2 1 2 1 2
737 3 1 1 2 1 1 2 1 3
738 2 2 1 1 1 1 1 1 4
739 4 2 2 1 2 1 4 4 4
740 3 1 1 1 1 1 1 3 4
741 3 2 3 4 2 1 4 2 4
742 4 1 1 2 1 1 1 4 4
743 2 2 4 2 1 1 4 2 2
744 3 1 1 2 1 1 1 4 4
745 2 2 1 2 1 1 4 4 4
746 4 1 2 1 1 1 2 3 3
747 3 1 1 1 1 1 1 1 2
748 3 2 1 1 1 1 2 1 2
749 3 2 1 2 1 2 3 4 4
750 3 2 2 3 2 1 2 2 2
751 4 1 1 1 1 1 1 2 4
752 4 1 1 1 1 1 1 3 4
753 3 2 2 2 2 1 3 2 3
754 3 2 2 2 1 1 2 1 3
755 2 2 2 1 1 1 2 3 1
756 3 2 2 1 1 1 2 2 3
757 4 2 1 2 1 1 1 1 4
758 3 1 1 1 1 1 1 4 4
759 3 2 1 2 2 3 2 1 2
760 4 2 1 1 1 2 1 2 3
761 3 1 1 2 1 2 1 3 4
762 3 3 2 2 2 1 4 2 2
763 4 1 1 1 1 1 2 1 3
764 3 2 1 2 2 2 3 2 2
765 4 1 1 1 1 1 1 2 4
766 3 2 1 1 1 1 1 3 4
767 3 2 3 1 1 1 2 2 3
768 4 1 1 1 1 1 1 4 3
769 4 1 1 2 1 1 1 3 4
770 4 3 1 1 1 1 1 1 4
771 4 1 1 1 1 1 1 1 4
772 4 1 1 1 1 1 1 1 2
773 3 2 1 1 1 1 2 1 4
774 3 1 1 1 1 1 1 1 3
775 4 1 1 2 1 1 1 1 2
776 2 2 2 2 2 1 2 1 2
777 3 2 1 2 1 1 1 1 2
778 3 2 1 1 2 1 2 1 2
779 4 2 2 2 2 2 2 4 1
780 3 3 1 2 1 2 1 4 3
781 3 2 1 1 1 1 1 3 2
782 2 2 2 2 1 1 2 2 2
783 3 1 1 2 1 1 1 3 4
784 3 1 2 2 1 1 1 2 1
785 3 2 1 2 3 2 3 3 1
786 3 2 1 1 2 1 2 3 3
787 2 3 3 3 2 2 3 1 2
788 3 2 1 2 2 1 3 1 4
789 3 3 1 2 2 1 1 3 4
790 4 2 1 1 1 1 2 1 3
791 4 2 1 1 2 1 2 1 3
792 4 2 1 1 2 1 2 1 1
793 3 1 1 1 1 1 2 2 1
794 3 2 3 2 1 1 2 1 2
795 3 1 1 1 1 1 1 1 4
796 3 2 2 1 1 1 2 1 2
797 3 2 2 2 2 1 2 2 3
798 3 2 1 1 1 1 2 1 2
799 3 1 1 2 1 1 2 2 2
800 3 2 2 2 2 1 2 1 4
801 3 2 1 1 1 1 2 2 4
802 4 3 3 2 2 1 1 1 4
803 3 2 4 2 2 1 2 2 4
804 3 4 1 4 1 1 2 1 1
805 3 2 1 1 1 1 2 3 4
806 3 2 2 1 2 1 1 2 4
807 3 2 1 1 1 1 1 3 4
808 3 2 1 1 1 1 1 3 4
809 4 2 1 1 1 1 2 4 4
810 3 3 1 1 1 1 1 3 4
811 4 2 1 1 1 1 2 2 2
812 3 2 1 1 2 1 1 3 3
813 4 2 1 1 2 1 1 2 3
814 3 2 2 2 1 2 2 3 2
815 4 2 1 1 2 1 1 2 3
816 3 2 1 1 2 1 3 2 3
817 3 3 1 2 2 1 3 2 2
818 3 2 1 1 2 1 3 1 2
819 3 1 1 1 1 1 2 2 4
820 3 2 2 1 1 1 1 1 2
821 4 1 1 1 1 1 1 1 1
822 3 4 3 3 3 3 4 3 3
823 3 3 2 3 3 2 3 3 3
824 2 3 2 2 2 3 2 3 3
825 4 3 2 2 2 2 1 3 4
826 4 2 2 2 2 3 2 2 4
827 3 3 4 4 3 3 3 4 4
828 3 3 1 1 1 1 2 1 2
829 2 2 2 1 3 1 2 2 2
830 3 2 1 2 1 2 2 2 3
831 4 1 1 2 2 2 1 1 4
832 3 3 1 2 1 1 1 4 4
833 4 1 1 1 1 1 1 3 4
834 4 2 1 2 1 1 1 4 2
835 4 2 1 1 1 1 2 2 2
836 3 3 1 2 2 1 2 3 2
837 3 2 1 1 2 1 2 1 3
838 4 1 1 1 1 1 1 2 2
839 3 1 1 1 1 1 2 2 4
840 3 2 4 2 2 2 3 2 4
841 3 2 2 2 2 2 2 1 4
842 3 2 2 2 1 1 2 1 4
843 4 1 2 1 1 1 2 1 2
844 3 1 2 1 2 1 2 3 3
845 4 1 1 1 1 1 2 4 2
846 4 2 1 1 1 1 2 1 1
847 4 1 1 1 1 1 1 2 4
848 3 2 1 1 1 1 1 4 2
849 3 2 1 1 1 1 2 3 2
850 4 2 1 2 1 1 1 3 3
851 3 2 1 1 1 1 1 2 2
852 3 2 1 2 1 1 1 4 4
853 3 3 1 1 2 1 1 1 1
854 4 1 1 1 1 1 1 4 4
855 3 2 1 2 1 1 2 2 3
856 3 2 1 1 1 1 1 3 3
857 4 1 1 1 1 1 1 4 4
858 3 2 2 2 1 1 2 3 3
859 3 2 2 2 2 2 2 1 1
860 4 1 1 1 1 1 1 3 3
861 4 2 1 1 1 1 1 3 4
862 3 2 2 1 1 1 2 3 4
863 3 2 1 1 2 1 2 2 3
864 3 2 1 1 2 1 2 2 2
865 3 2 1 2 1 1 2 1 2
866 3 2 1 1 1 1 1 3 4
867 3 2 1 1 1 1 1 2 3
868 3 2 1 2 1 1 1 2 4
869 3 2 2 2 1 1 1 2 3
870 4 1 1 1 1 1 1 4 4
871 4 1 1 1 1 1 1 1 4
872 3 2 1 1 1 1 1 1 2
873 3 2 1 2 1 1 1 3 1
874 2 2 1 1 1 1 2 2 2
875 4 1 1 1 1 1 1 4 4
876 3 2 2 1 2 2 2 3 2
877 3 2 2 2 2 2 3 2 2
878 3 2 1 2 1 1 2 1 2
879 3 3 4 4 2 4 3 4 2
880 3 2 1 1 1 1 1 3 3
881 3 2 1 1 1 1 2 2 1
882 3 1 1 1 1 1 1 4 3
883 3 2 1 1 1 1 2 2 1
884 2 3 2 2 2 1 3 2 2
885 2 3 2 2 3 3 2 3 3
886 3 3 4 3 3 2 3 3 4
887 1 3 2 1 3 3 4 2 3
888 3 2 1 1 1 1 1 3 4
889 4 2 1 2 1 2 2 2 3
890 3 2 1 2 2 3 3 1 2
891 4 1 1 1 1 1 1 4 4
892 3 2 1 2 1 1 1 3 3
893 4 2 3 3 3 1 3 1 3
894 3 3 4 3 3 4 3 3 3
895 3 2 1 1 2 1 2 3 1
896 3 2 1 2 2 1 3 1 2
897 2 3 1 2 1 2 3 1 2
898 4 1 1 2 1 1 1 3 4
899 3 1 1 1 1 1 1 1 3
900 3 2 1 4 1 2 2 1 3
901 3 1 1 1 2 1 2 2 4
902 3 1 1 1 2 1 2 4 3
903 NA NA NA NA NA NA NA NA NA
904 NA NA NA NA NA NA NA NA NA
905 NA NA NA NA NA NA NA NA NA
906 NA NA NA NA NA NA NA NA NA
907 NA NA NA NA NA NA NA NA NA
908 NA NA NA NA NA NA NA NA NA
c82cop1 c83cop2 c84cop3 c85cop4 c86cop5 c87cop6 c88cop7 c89cop8 c90cop9
6 7 8 9 10 11 12 13 14
col.nr var.name var.label
1 5 e42dep elder's dependency
[1] "elder's dependency"
c172code
1 2
2 2
3 1
4 2
5 2
6 2
7 2
8 2
9 NA
10 2
11 2
12 2
13 3
14 1
15 3
16 2
17 2
18 2
19 3
20 3
21 2
22 2
23 2
24 2
25 2
26 2
27 3
28 2
29 2
30 1
31 2
32 1
33 2
34 2
35 2
36 1
37 2
38 2
39 2
40 2
41 3
42 2
43 3
44 2
45 2
46 2
47 2
48 NA
49 NA
50 2
51 2
52 2
53 2
54 2
55 3
56 2
57 2
58 3
59 2
60 2
61 NA
62 2
63 NA
64 3
65 2
66 3
67 3
68 2
69 2
70 NA
71 2
72 2
73 2
74 3
75 3
76 2
77 1
78 2
79 3
80 2
81 2
82 2
83 2
84 2
85 2
86 2
87 2
88 2
89 3
90 2
91 1
92 2
93 2
94 NA
95 NA
96 2
97 NA
98 NA
99 1
100 2
101 NA
102 2
103 1
104 NA
105 2
106 2
107 1
108 NA
109 2
110 2
111 2
112 2
113 3
114 2
115 2
116 1
117 2
118 2
119 1
120 1
121 3
122 1
123 1
124 2
125 2
126 2
127 2
128 2
129 3
130 1
131 1
132 2
133 1
134 1
135 2
136 3
137 1
138 2
139 1
140 2
141 2
142 NA
143 2
144 2
145 2
146 3
147 NA
148 NA
149 1
150 2
151 2
152 2
153 3
154 3
155 1
156 2
157 3
158 3
159 3
160 3
161 3
162 3
163 NA
164 2
165 3
166 3
167 NA
168 2
169 2
170 3
171 3
172 2
173 2
174 1
175 2
176 3
177 2
178 NA
179 3
180 2
181 1
182 3
183 2
184 NA
185 1
186 2
187 3
188 3
189 1
190 2
191 3
192 3
193 NA
194 2
195 2
196 1
197 3
198 3
199 1
200 NA
201 NA
202 2
203 3
204 2
205 1
206 2
207 2
208 2
209 1
210 NA
211 3
212 3
213 3
214 3
215 3
216 2
217 2
218 2
219 1
220 3
221 2
222 3
223 2
224 2
225 1
226 3
227 1
228 2
229 3
230 2
231 3
232 NA
233 NA
234 NA
235 NA
236 NA
237 2
238 2
239 2
240 2
241 2
242 2
243 1
244 NA
245 2
246 2
247 2
248 2
249 1
250 NA
251 NA
252 1
253 NA
254 2
255 2
256 2
257 2
258 1
259 2
260 3
261 2
262 3
263 2
264 1
265 2
266 NA
267 2
268 3
269 2
270 1
271 1
272 1
273 2
274 1
275 2
276 1
277 NA
278 NA
279 1
280 3
281 1
282 2
283 2
284 2
285 2
286 2
287 2
288 3
289 2
290 2
291 2
292 1
293 2
294 1
295 1
296 1
297 2
298 2
299 3
300 2
301 1
302 2
303 2
304 2
305 2
306 2
307 2
308 2
309 3
310 1
311 2
312 3
313 2
314 3
315 2
316 2
317 2
318 2
319 2
320 1
321 NA
322 2
323 3
324 3
325 3
326 1
327 2
328 1
329 2
330 2
331 2
332 2
333 2
334 1
335 2
336 3
337 1
338 2
339 3
340 2
341 2
342 2
343 2
344 2
345 2
346 2
347 2
348 3
349 2
350 3
351 3
352 1
353 2
354 1
355 1
356 1
357 2
358 2
359 1
360 1
361 1
362 2
363 1
364 1
365 2
366 1
367 2
368 NA
369 NA
370 2
371 2
372 2
373 2
374 2
375 2
376 1
377 2
378 2
379 2
380 2
381 2
382 2
383 2
384 2
385 1
386 2
387 2
388 NA
389 1
390 2
391 2
392 3
393 1
394 3
395 2
396 2
397 3
398 3
399 1
400 3
401 1
402 1
403 2
404 2
405 2
406 2
407 1
408 1
409 2
410 2
411 2
412 2
413 1
414 2
415 2
416 3
417 3
418 3
419 3
420 2
421 1
422 2
423 3
424 2
425 2
426 2
427 3
428 2
429 2
430 2
431 3
432 3
433 2
434 1
435 2
436 2
437 2
438 3
439 NA
440 1
441 1
442 2
443 2
444 3
445 1
446 2
447 2
448 2
449 2
450 1
451 2
452 2
453 3
454 2
455 2
456 3
457 1
458 1
459 3
460 3
461 3
462 2
463 2
464 1
465 2
466 2
467 1
468 1
469 2
470 2
471 1
472 2
473 2
474 2
475 1
476 2
477 1
478 2
479 2
480 2
481 1
482 3
483 3
484 2
485 3
486 2
487 NA
488 NA
489 NA
490 1
491 1
492 1
493 1
494 1
495 1
496 2
497 1
498 1
499 1
500 3
501 1
502 2
503 1
504 2
505 2
506 2
507 2
508 2
509 2
510 2
511 2
512 2
513 2
514 1
515 1
516 2
517 2
518 NA
519 1
520 2
521 3
522 3
523 1
524 2
525 2
526 2
527 2
528 2
529 2
530 2
531 2
532 2
533 2
534 2
535 2
536 3
537 3
538 2
539 2
540 2
541 2
542 2
543 2
544 2
545 3
546 2
547 2
548 1
549 1
550 1
551 2
552 2
553 2
554 2
555 2
556 2
557 1
558 1
559 1
560 1
561 1
562 2
563 1
564 2
565 3
566 2
567 2
568 1
569 1
570 3
571 2
572 1
573 2
574 1
575 1
576 2
577 2
578 3
579 NA
580 2
581 NA
582 1
583 3
584 1
585 2
586 2
587 2
588 2
589 2
590 1
591 1
592 2
593 1
594 1
595 2
596 2
597 2
598 1
599 1
600 2
601 3
602 1
603 2
604 2
605 3
606 3
607 2
608 1
609 3
610 2
611 2
612 2
613 2
614 2
615 2
616 2
617 2
618 2
619 3
620 1
621 2
622 2
623 2
624 2
625 3
626 2
627 2
628 3
629 3
630 NA
631 NA
632 1
633 1
634 3
635 3
636 2
637 2
638 1
639 2
640 2
641 2
642 2
643 2
644 3
645 2
646 2
647 2
648 3
649 2
650 2
651 2
652 2
653 2
654 2
655 2
656 2
657 3
658 2
659 1
660 2
661 2
662 2
663 3
664 2
665 NA
666 3
667 2
668 1
669 2
670 2
671 1
672 2
673 3
674 1
675 2
676 1
677 1
678 2
679 2
680 1
681 2
682 2
683 2
684 2
685 3
686 2
687 2
688 2
689 1
690 2
691 1
692 3
693 1
694 2
695 2
696 2
697 2
698 3
699 2
700 2
701 2
702 2
703 1
704 2
705 NA
706 2
707 1
708 1
709 1
710 2
711 1
712 3
713 2
714 2
715 2
716 2
717 2
718 1
719 NA
720 NA
721 2
722 2
723 1
724 2
725 2
726 2
727 2
728 2
729 NA
730 2
731 1
732 1
733 3
734 2
735 3
736 2
737 NA
738 1
739 3
740 2
741 2
742 2
743 2
744 2
745 1
746 1
747 2
748 2
749 3
750 2
751 1
752 2
753 3
754 3
755 1
756 2
757 2
758 2
759 2
760 1
761 2
762 2
763 2
764 3
765 2
766 2
767 1
768 2
769 3
770 2
771 2
772 3
773 2
774 1
775 1
776 2
777 1
778 NA
779 2
780 2
781 2
782 2
783 NA
784 3
785 2
786 2
787 NA
788 3
789 1
790 2
791 2
792 1
793 2
794 2
795 2
796 2
797 2
798 2
799 2
800 2
801 1
802 1
803 2
804 1
805 2
806 2
807 2
808 2
809 1
810 2
811 3
812 2
813 1
814 NA
815 1
816 2
817 1
818 1
819 2
820 2
821 2
822 2
823 2
824 2
825 2
826 2
827 2
828 3
829 3
830 2
831 3
832 2
833 2
834 2
835 2
836 2
837 2
838 2
839 2
840 3
841 2
842 3
843 2
844 2
845 2
846 2
847 NA
848 3
849 2
850 3
851 2
852 3
853 3
854 2
855 2
856 3
857 3
858 3
859 2
860 3
861 2
862 2
863 3
864 2
865 2
866 2
867 1
868 1
869 2
870 2
871 2
872 2
873 2
874 3
875 2
876 1
877 2
878 2
879 2
880 2
881 2
882 2
883 2
884 1
885 3
886 3
887 2
888 2
889 3
890 3
891 3
892 2
893 2
894 3
895 2
896 2
897 2
898 1
899 2
900 1
901 2
902 2
903 NA
904 NA
905 NA
906 NA
907 NA
908 NA
$c172code
[1] "low level of education" "intermediate level of education"
[3] "high level of education"
Warning message:
In checkMatrixPackageVersion() : Package version inconsistency detected.
TMB was built with Matrix version 1.2.15
Current Matrix version is 1.2.17
Please re-install 'TMB' from source using install.packages('TMB', type = 'source') or ask CRAN for a binary version of 'TMB' matching CRAN's 'Matrix' package
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