I am hoping for some assistance with a problem that has puzzled me. Immediately below is the error messages I obtained when I tried to perform two functions.
(A)
tapply(outcome,na.rm=T,grp,mean)
Error in tapply(outcome, na.rm = T, grp, mean) :
arguments must have same length
+++++++++++++++++++++++++++++++++++++++++++++++
(B)
library(nlme)
> anova(lme(outcome ~ grp * time, random = ~ 1 | subject))
Error in model.frame(formula, rownames, variables, varnames, extras,
extranames, :
variable lengths differ
I assumed this was due to a missing value, as all the variables appeared to
have the same number of values . However, when I ran the length command
this wasn't the case:
length(outcome)
[1] 368
> length(grp)
[1] 184
> length(subject)
[1] 92
> length(time)
[1] 184
Below is the syntax I have been using and the date frame that I generated -
study1dat <- read.csv("c:\\study1rb.csv",header=T)
attach (study1dat)
outcome <- c(t1freq, t2freq,t3freq,t4freq)
grp <- factor( rep(group, 2) )
time <- gl(4, 46)
subject <- gl(46,1,92)
data.frame(subject, grp, time, outcome)
subject grp time outcome
1 1 0 1 4
2 2 0 1 3
3 3 0 1 7
4 4 0 1 0
5 5 0 1 1
6 6 0 1 7
7 7 0 1 7
8 8 0 1 7
9 9 0 1 7
10 10 0 1 5
11 11 0 1 3
12 12 0 1 1
13 13 0 1 7
14 14 0 1 7
15 15 0 1 1
16 16 0 1 7
17 17 0 1 2
18 18 0 1 7
19 19 0 1 7
20 20 0 1 3
21 21 0 1 7
22 22 0 1 7
23 23 0 1 3
24 24 0 1 7
25 25 0 1 7
26 26 0 1 5
27 27 0 1 7
28 28 0 1 7
29 29 0 1 5
30 30 0 1 7
31 31 0 1 5
32 32 0 1 5
33 33 0 1 7
34 34 0 1 7
35 35 0 1 7
36 36 0 1 7
37 37 0 1 6
38 38 0 1 4
39 39 0 1 4
40 40 0 1 7
41 41 0 1 3
42 42 0 1 4
43 43 0 1 7
44 44 0 1 7
45 45 0 1 7
46 46 0 1 2
47 1 0 2 4
48 2 1 2 1
49 3 1 2 4
50 4 1 2 0
51 5 1 2 7
52 6 1 2 7
53 7 1 2 4
54 8 1 2 0
55 9 1 2 5
56 10 1 2 0
57 11 1 2 5
58 12 1 2 5
59 13 1 2 7
60 14 1 2 5
61 15 1 2 1
62 16 1 2 6
63 17 1 2 4
64 18 1 2 6
65 19 1 2 5
66 20 1 2 1
67 21 1 2 7
68 22 1 2 5
69 23 1 2 7
70 24 1 2 4
71 25 1 2 3
72 26 1 2 7
73 27 1 2 4
74 28 1 2 4
75 29 1 2 7
76 30 1 2 0
77 31 1 2 7
78 32 1 2 3
79 33 1 2 7
80 34 1 2 2
81 35 1 2 4
82 36 1 2 1
83 37 1 2 4
84 38 1 2 2
85 39 1 2 5
86 40 1 2 1
87 41 1 2 0
88 42 1 2 7
89 43 1 2 3
90 44 1 2 6
91 45 1 2 2
92 46 1 2 4
93 1 0 3 6
94 2 0 3 3
95 3 0 3 5
96 4 0 3 2
97 5 0 3 4
98 6 0 3 7
99 7 0 3 7
100 8 0 3 4
101 9 0 3 7
102 10 0 3 4
103 11 0 3 6
104 12 0 3 3
105 13 0 3 7
106 14 0 3 7
107 15 0 3 3
108 16 0 3 7
109 17 0 3 1
110 18 0 3 7
111 19 0 3 6
112 20 0 3 4
113 21 0 3 7
114 22 0 3 6
115 23 0 3 0
116 24 0 3 6
117 25 0 3 6
118 26 0 3 6
119 27 0 3 7
120 28 0 3 7
121 29 0 3 7
122 30 0 3 2
123 31 0 3 6
124 32 0 3 7
125 33 0 3 7
126 34 0 3 7
127 35 0 3 7
128 36 0 3 7
129 37 0 3 5
130 38 0 3 4
131 39 0 3 6
132 40 0 3 7
133 41 0 3 3
134 42 0 3 4
135 43 0 3 7
136 44 0 3 7
137 45 0 3 1
138 46 0 3 2
139 1 0 4 2
140 2 1 4 1
141 3 1 4 4
142 4 1 4 0
143 5 1 4 7
144 6 1 4 2
145 7 1 4 7
146 8 1 4 NA
147 9 1 4 4
148 10 1 4 0
149 11 1 4 5
150 12 1 4 6
151 13 1 4 7
152 14 1 4 4
153 15 1 4 4
154 16 1 4 7
155 17 1 4 5
156 18 1 4 7
157 19 1 4 4
158 20 1 4 0
159 21 1 4 7
160 22 1 4 3
161 23 1 4 7
162 24 1 4 7
163 25 1 4 7
164 26 1 4 7
165 27 1 4 2
166 28 1 4 6
167 29 1 4 5
168 30 1 4 0
169 31 1 4 6
170 32 1 4 3
171 33 1 4 7
172 34 1 4 4
173 35 1 4 1
174 36 1 4 4
175 37 1 4 2
176 38 1 4 1
177 39 1 4 0
178 40 1 4 3
179 41 1 4 0
180 42 1 4 7
181 43 1 4 1
182 44 1 4 6
183 45 1 4 1
184 46 1 4 3
185 1 0 1 6
186 2 0 1 1
187 3 0 1 7
188 4 0 1 4
189 5 0 1 4
190 6 0 1 6
191 7 0 1 7
192 8 0 1 4
193 9 0 1 7
194 10 0 1 7
195 11 0 1 1
196 12 0 1 0
197 13 0 1 7
198 14 0 1 7
199 15 0 1 2
200 16 0 1 7
201 17 0 1 2
202 18 0 1 7
203 19 0 1 7
204 20 0 1 2
205 21 0 1 7
206 22 0 1 6
207 23 0 1 0
208 24 0 1 5
209 25 0 1 6
210 26 0 1 7
211 27 0 1 5
212 28 0 1 7
213 29 0 1 7
214 30 0 1 0
215 31 0 1 7
216 32 0 1 7
217 33 0 1 7
218 34 0 1 7
219 35 0 1 7
220 36 0 1 7
221 37 0 1 7
222 38 0 1 4
223 39 0 1 3
224 40 0 1 7
225 41 0 1 5
226 42 0 1 5
227 43 0 1 7
228 44 0 1 7
229 45 0 1 5
230 46 0 1 2
231 1 0 2 3
232 2 1 2 2
233 3 1 2 4
234 4 1 2 0
235 5 1 2 7
236 6 1 2 3
237 7 1 2 7
238 8 1 2 1
239 9 1 2 4
240 10 1 2 1
241 11 1 2 4
242 12 1 2 4
243 13 1 2 7
244 14 1 2 4
245 15 1 2 6
246 16 1 2 6
247 17 1 2 3
248 18 1 2 6
249 19 1 2 0
250 20 1 2 0
251 21 1 2 7
252 22 1 2 3
253 23 1 2 6
254 24 1 2 7
255 25 1 2 7
256 26 1 2 7
257 27 1 2 0
258 28 1 2 2
259 29 1 2 6
260 30 1 2 0
261 31 1 2 7
262 32 1 2 1
263 33 1 2 7
264 34 1 2 4
265 35 1 2 1
266 36 1 2 3
267 37 1 2 4
268 38 1 2 1
269 39 1 2 0
270 40 1 2 1
271 41 1 2 0
272 42 1 2 6
273 43 1 2 1
274 44 1 2 6
275 45 1 2 3
276 46 1 2 3
277 1 0 3 6
278 2 0 3 0
279 3 0 3 7
280 4 0 3 7
281 5 0 3 6
282 6 0 3 7
283 7 0 3 5
284 8 0 3 4
285 9 0 3 7
286 10 0 3 7
287 11 0 3 3
288 12 0 3 3
289 13 0 3 7
290 14 0 3 7
291 15 0 3 2
292 16 0 3 7
293 17 0 3 5
294 18 0 3 3
295 19 0 3 7
296 20 0 3 2
297 21 0 3 7
298 22 0 3 6
299 23 0 3 4
300 24 0 3 0
301 25 0 3 7
302 26 0 3 7
303 27 0 3 7
304 28 0 3 7
305 29 0 3 7
306 30 0 3 1
307 31 0 3 6
308 32 0 3 7
309 33 0 3 7
310 34 0 3 7
311 35 0 3 0
312 36 0 3 7
313 37 0 3 7
314 38 0 3 5
315 39 0 3 1
316 40 0 3 7
317 41 0 3 4
318 42 0 3 4
319 43 0 3 1
320 44 0 3 7
321 45 0 3 7
322 46 0 3 1
323 1 0 4 1
324 2 1 4 3
325 3 1 4 2
326 4 1 4 0
327 5 1 4 7
328 6 1 4 NA
329 7 1 4 6
330 8 1 4 NA
331 9 1 4 4
332 10 1 4 1
333 11 1 4 6
334 12 1 4 5
335 13 1 4 7
336 14 1 4 4
337 15 1 4 0
338 16 1 4 7
339 17 1 4 4
340 18 1 4 6
341 19 1 4 0
342 20 1 4 0
343 21 1 4 7
344 22 1 4 1
345 23 1 4 6
346 24 1 4 6
347 25 1 4 7
348 26 1 4 7
349 27 1 4 2
350 28 1 4 3
351 29 1 4 7
352 30 1 4 0
353 31 1 4 5
354 32 1 4 1
355 33 1 4 6
356 34 1 4 7
357 35 1 4 1
358 36 1 4 3
359 37 1 4 1
360 38 1 4 1
361 39 1 4 0
362 40 1 4 1
363 41 1 4 0
364 42 1 4 7
365 43 1 4 1
366 44 1 4 7
367 45 1 4 0
368 46 1 4 5
Any assistance that can be offered is appreciated,
regards
Bob Green
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