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Dear AFNI users-
We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:
Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.
The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.
Sincerely, AFNI HQ
We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:
https://discuss.afni.nimh.nih.gov
Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.
The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.
Sincerely, AFNI HQ
| January 20, 2021 10:40AM | |
Registered: 4 years ago Posts: 15 |
Hi Gang and AFNI crew,
I'm getting a new error running 3dMVM, even on scripts that previously worked. My binaries are up to date and I'm running R 3.6.3. This on MacOS 10.14.6.
I'm getting the following error:
Error in if (all(abs(inData[ii, jj, kk, ]) < 1e-07)) fm <- NULL else { :
missing value where TRUE/FALSE needed
Execution halted
thanks,
Stu
The diary file contents is:
3dMVM -prefix CUExSES_minority_1.20.21 -jobs 4 -bsVars MIN+SES -qVars SES -wsVars CUE -mask NEW_MASK+tlrc -dataTable Subj MIN SES CUE InputFile 107 0 0.1888 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/107/APP+tlrc 108 1 -1.3721 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/108/APP+tlrc 109 0 -0.3595 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/109/APP+tlrc 110 1 -0.4101 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/110/APP+tlrc 111 1 -0.165 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/111/APP+tlrc 114 0 -0.8738 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/114/APP+tlrc 117 1 0.0548 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/117/APP+tlrc 120 1 -0.9695 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/120/APP+tlrc 121 0 2.135 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/121/APP+tlrc 123 0 1.4133 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/123/APP+tlrc 126 0 0.261 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/126/APP+tlrc 130 1 -0.1334 APP 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0.2935 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/148/AVO+tlrc 149 0 0.5506 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/149/AVO+tlrc 150 1 0.2288 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/150/AVO+tlrc 151 0 0.2772 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/151/AVO+tlrc 152 0 0.0235 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/152/AVO+tlrc 153 1 -0.1176 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/153/AVO+tlrc 154 0 0.5689 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/154/AVO+tlrc 155 0 2.6606 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/155/AVO+tlrc 157 1 -0.6061 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/157/AVO+tlrc 158 0 -0.0078 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/158/AVO+tlrc 159 0 0.5325 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/159/AVO+tlrc 160 1 0.4792 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/160/AVO+tlrc 161 0 0.7855 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/161/AVO+tlrc 163 0 2.0024 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/163/AVO+tlrc 166 0 0.693 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/166/AVO+tlrc 168 0 1.2605 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/168/AVO+tlrc 170 0 1.0475 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/170/AVO+tlrc 171 0 0.7232 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/171/AVO+tlrc 172 1 0.1492 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/172/AVO+tlrc 173 1 0.3099 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/173/AVO+tlrc 174 1 0.4444 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/174/AVO+tlrc 176 0 0.8738 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/176/AVO+tlrc 178 0 0.8289 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/178/AVO+tlrc 183 0 0.3931 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/183/AVO+tlrc 186 0 0.8511 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/186/AVO+tlrc 188 1 0.6441 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/188/AVO+tlrc 190 1 0.3595 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/190/AVO+tlrc 191 1 -0.8289 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/191/AVO+tlrc 193 1 -0.2128 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/193/AVO+tlrc 194 0 0.7644 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/194/AVO+tlrc 195 1 -0.0548 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/195/AVO+tlrc 196 0 -0.1018 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/196/AVO+tlrc 199 1 -0.0235 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/199/AVO+tlrc 201 1 1.2266 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/201/AVO+tlrc 202 0 0.5146 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/202/AVO+tlrc 204 1 0.4968 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/204/AVO+tlrc 205 0 0.897 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/205/AVO+tlrc 207 1 -1.5542 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/207/AVO+tlrc 208 1 -2.135 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/208/AVO+tlrc 211 1 -0.0783 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/211/AVO+tlrc 213 1 0.2128 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/213/AVO+tlrc 215 1 -0.1968 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/215/AVO+tlrc 216 1 -0.897 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/216/AVO+tlrc 217 1 -0.0391 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/217/AVO+tlrc 218 0 1.4571 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/218/AVO+tlrc 219 1 -1.1628 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/219/AVO+tlrc 221 0 -1.0208 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/221/AVO+tlrc 225 1 -0.2935 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/225/AVO+tlrc 226 1 -0.3099 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/226/AVO+tlrc 227 1 0.9695 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/227/AVO+tlrc 231 1 1.5542 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/231/AVO+tlrc 235 1 0.0704 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/235/AVO+tlrc 236 0 1.075 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/236/AVO+tlrc 237 1 -0.2772 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/237/AVO+tlrc 238 0 0.0861 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/238/AVO+tlrc 239 1 1.6688 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/239/AVO+tlrc 240 0 0.2449 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/240/AVO+tlrc 243 1 0.1018 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/243/AVO+tlrc 246 0 0.625 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/246/AVO+tlrc 248 1 1.1628 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/248/AVO+tlrc 249 0 1.7353 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/249/AVO+tlrc 250 1 -0.3264 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/250/AVO+tlrc 251 1 -0.7644 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/251/AVO+tlrc 252 0 0.1176 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/252/AVO+tlrc 254 1 0.4186 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/254/AVO+tlrc 258 0 1.1033 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/258/AVO+tlrc 259 0 0.5874 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/259/AVO+tlrc 260 1 -1.2959 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/260/AVO+tlrc 261 1 -0.7232 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/261/AVO+tlrc 263 1 -1.4571 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/263/AVO+tlrc 264 0 0.3429 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/264/AVO+tlrc 265 0 1.333 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/265/AVO+tlrc 268 1 -0.5146 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/268/AVO+tlrc 271 1 -2.3211 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/271/AVO+tlrc 272 1 -1.6089 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/272/AVO+tlrc 273 1 -0.7855 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/273/AVO+tlrc 274 0 0.7436 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/274/AVO+tlrc 276 0 0.9206 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/276/AVO+tlrc 277 0 0.9948 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/277/AVO+tlrc 278 0 -0.1809 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/278/AVO+tlrc 285 0 1.8978 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/285/AVO+tlrc 286 1 1.1941 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/286/AVO+tlrc 287 1 -1.8978 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/287/AVO+tlrc 291 1 -0.4792 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/291/AVO+tlrc 292 1 -2.6606 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/292/AVO+tlrc 293 0 0.4186 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/293/AVO+tlrc 296 0 -1.1033 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/296/AVO+tlrc 298 0 1.3721 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/298/AVO+tlrc 299 0 2.3211 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/299/AVO+tlrc 312 1 -0.9206 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/312/AVO+tlrc 314 0 0.9448 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/314/AVO+tlrc 321 1 -1.6688 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/321/AVO+tlrc 322 1 -0.3763 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/322/AVO+tlrc 323 1 -0.6441 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/323/AVO+tlrc 324 0 1.6089 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/324/AVO+tlrc 325 0 1.2959 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/325/AVO+tlrc 326 1 -0.0783 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/326/AVO+tlrc 327 1 -0.9448 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/327/AVO+tlrc 328 1 -1.4133 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/328/AVO+tlrc 329 1 -2.0024 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/329/AVO+tlrc 330 1 -0.8511 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/330/AVO+tlrc 333 1 -0.703 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/333/AVO+tlrc 334 0 -1.1325 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/334/AVO+tlrc 335 1 -0.807 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/335/AVO+tlrc 337 1 -0.3931 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/337/AVO+tlrc 340 0 1.8106 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/340/AVO+tlrc 341 1 -1.2605 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/341/AVO+tlrc 343 0 0.6635 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/343/AVO+tlrc 344 0 0.807 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/344/AVO+tlrc 345 1 -0.4272 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/345/AVO+tlrc 346 1 -0.1492 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/346/AVO+tlrc 351 1 0.0078 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/351/AVO+tlrc 352 1 -1.5039 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/352/AVO+tlrc 353 1 -1.075 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/353/AVO+tlrc 354 1 -0.6831 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/354/AVO+tlrc 355 1 -1.333 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/355/AVO+tlrc 356 1 0.3763 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/356/AVO+tlrc 357 1 -0.5415 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/357/AVO+tlrc 360 1 -1.1941 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/360/AVO+tlrc 361 0 -0.4617 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/361/AVO+tlrc 362 1 -0.5689 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/362/AVO+tlrc 363 0 -0.2449 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/363/AVO+tlrc 365 0 0.3264 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/365/AVO+tlrc 367 1 -1.7353 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/367/AVO+tlrc 368 1 0.4617 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/368/AVO+tlrc 369 1 -0.5415 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/369/AVO+tlrc 370 1 -0.5874 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/370/AVO+tlrc 371 1 -0.4968 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/371/AVO+tlrc 372 1 -0.2288 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/372/AVO+tlrc 375 1 -1.0475 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/375/AVO+tlrc 378 0 1.5039 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/378/AVO+tlrc 379 1 -1.2266 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/379/AVO+tlrc 381 1 -0.9948 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/381/AVO+tlrc
updating R_LD_LIBRARY_PATH ...
Loading required package: lme4
Loading required package: Matrix
Registered S3 methods overwritten by 'car':
method from
influence.merMod lme4
cooks.distance.influence.merMod lme4
dfbeta.influence.merMod lme4
dfbetas.influence.merMod lme4
************
Welcome to afex. For support visit: [afex.singmann.science]
- Functions for ANOVAs: aov_car(), aov_ez(), and aov_4()
- Methods for calculating p-values with mixed(): 'KR', 'S', 'LRT', and 'PB'
- 'afex_aov' and 'mixed' objects can be passed to emmeans() for follow-up tests
- NEWS: library('emmeans') now needs to be called explicitly!
- Get and set global package options with: afex_options()
- Set orthogonal sum-to-zero contrasts globally: set_sum_contrasts()
- For example analyses see: browseVignettes("afex")
************
Attaching package: 'afex'
The following object is masked from 'package:lme4':
lmer
Loading required package: car
Loading required package: carData
++++++++++++++++++++++++++++++++++++++++++++++++++++
***** Summary information of data structure *****
160 subjects : 107 108 109 110 111 114 117 120 121 123 126 130 131 132 133 135 136 137 138 139 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 157 158 159 160 161 163 166 168 170 171 172 173 174 176 178 183 186 188 190 191 193 194 195 196 199 201 202 204 205 207 208 211 213 215 216 217 218 219 221 225 226 227 231 235 236 237 238 239 240 243 246 248 249 250 251 252 254 258 259 260 261 263 264 265 268 271 272 273 274 276 277 278 285 286 287 291 292 293 296 298 299 312 314 321 322 323 324 325 326 327 328 329 330 333 334 335 337 340 341 343 344 345 346 351 352 353 354 355 356 357 360 361 362 363 365 367 368 369 370 371 372 375 378 379 381
320 response values
2 levels for factor MIN : 0 1
320 centered values for numeric variable SES : 0.1888019 -1.372098 -0.3594981 -0.4100981 -0.1649981 -0.8737981 0.05480187 -0.9694981 2.135002 1.413302 0.2610019 -0.1333981 -0.7435981 1.132502 0.1334019 -0.6634981 0.6061019 0.1650019 1.020802 -1.810598 0.1888019 0.6930019 -0.3428981 -0.4443981 -0.2609981 -0.6249981 0.03910188 0.2935019 0.5506019 0.2288019 0.2772019 0.02350188 -0.1175981 0.5689019 2.660602 -0.6060981 -0.007798125 0.5325019 0.4792019 0.7855019 2.002402 0.6930019 1.260502 1.047502 0.7232019 0.1492019 0.3099019 0.4444019 0.8738019 0.8289019 0.3931019 0.8511019 0.6441019 0.3595019 -0.8288981 -0.2127981 0.7644019 -0.05479813 -0.1017981 -0.02349812 1.226602 0.5146019 0.4968019 0.8970019 -1.554198 -2.134998 -0.07829812 0.2128019 -0.1967981 -0.8969981 -0.03909813 1.457102 -1.162798 -1.020798 -0.2934981 -0.3098981 0.9695019 1.554202 0.07040188 1.075002 -0.2771981 0.08610187 1.668802 0.2449019 0.1018019 0.6250019 1.162802 1.735302 -0.3263981 -0.7643981 0.1176019 0.4186019 1.103302 0.5874019 -1.295898 -0.7231981 -1.457098 0.3429019 1.333002 -0.5145981 -2.321098 -1.608898 -0.7854981 0.7436019 0.9206019 0.9948019 -0.1808981 1.897802 1.194102 -1.897798 -0.4791981 -2.660598 0.4186019 -1.103298 1.372102 2.321102 -0.9205981 0.9448019 -1.668798 -0.3762981 -0.6440981 1.608902 1.295902 -0.07829812 -0.9447981 -1.413298 -2.002398 -0.8510981 -0.7029981 -1.132498 -0.8069981 -0.3930981 1.810602 -1.260498 0.6635019 0.8070019 -0.4271981 -0.1491981 0.007801875 -1.503898 -1.074998 -0.6830981 -1.332998 0.3763019 -0.5414981 -1.194098 -0.4616981 -0.5688981 -0.2448981 0.3264019 -1.735298 0.4617019 -0.5414981 -0.5873981 -0.4967981 -0.2287981 -1.047498 1.503902 -1.226598 -0.9947981 0.1888019 -1.372098 -0.3594981 -0.4100981 -0.1649981 -0.8737981 0.05480187 -0.9694981 2.135002 1.413302 0.2610019 -0.1333981 -0.7435981 1.132502 0.1334019 -0.6634981 0.6061019 0.1650019 1.020802 -1.810598 0.1888019 0.6930019 -0.3428981 -0.4443981 -0.2609981 -0.6249981 0.03910188 0.2935019 0.5506019 0.2288019 0.2772019 0.02350188 -0.1175981 0.5689019 2.660602 -0.6060981 -0.007798125 0.5325019 0.4792019 0.7855019 2.002402 0.6930019 1.260502 1.047502 0.7232019 0.1492019 0.3099019 0.4444019 0.8738019 0.8289019 0.3931019 0.8511019 0.6441019 0.3595019 -0.8288981 -0.2127981 0.7644019 -0.05479813 -0.1017981 -0.02349812 1.226602 0.5146019 0.4968019 0.8970019 -1.554198 -2.134998 -0.07829812 0.2128019 -0.1967981 -0.8969981 -0.03909813 1.457102 -1.162798 -1.020798 -0.2934981 -0.3098981 0.9695019 1.554202 0.07040188 1.075002 -0.2771981 0.08610187 1.668802 0.2449019 0.1018019 0.6250019 1.162802 1.735302 -0.3263981 -0.7643981 0.1176019 0.4186019 1.103302 0.5874019 -1.295898 -0.7231981 -1.457098 0.3429019 1.333002 -0.5145981 -2.321098 -1.608898 -0.7854981 0.7436019 0.9206019 0.9948019 -0.1808981 1.897802 1.194102 -1.897798 -0.4791981 -2.660598 0.4186019 -1.103298 1.372102 2.321102 -0.9205981 0.9448019 -1.668798 -0.3762981 -0.6440981 1.608902 1.295902 -0.07829812 -0.9447981 -1.413298 -2.002398 -0.8510981 -0.7029981 -1.132498 -0.8069981 -0.3930981 1.810602 -1.260498 0.6635019 0.8070019 -0.4271981 -0.1491981 0.007801875 -1.503898 -1.074998 -0.6830981 -1.332998 0.3763019 -0.5414981 -1.194098 -0.4616981 -0.5688981 -0.2448981 0.3264019 -1.735298 0.4617019 -0.5414981 -0.5873981 -0.4967981 -0.2287981 -1.047498 1.503902 -1.226598 -0.9947981
2 levels for factor CUE : APP AVO
0 post hoc tests
Contingency tables of subject distributions among the categorical variables:
CUE
MIN APP AVO
0 65 65
1 95 95
Tabulation of subjects against each of the categorical variables:
~~~~~~~~~~~~~~
lop$nSubj vs MIN:
0 1
107 2 0
108 0 2
109 2 0
110 0 2
111 0 2
114 2 0
117 0 2
120 0 2
121 2 0
123 2 0
126 2 0
130 0 2
131 0 2
132 2 0
133 0 2
135 0 2
136 2 0
137 0 2
138 0 2
139 0 2
141 2 0
142 0 2
143 0 2
144 0 2
145 0 2
146 2 0
147 2 0
148 2 0
149 2 0
150 0 2
151 2 0
152 2 0
153 0 2
154 2 0
155 2 0
157 0 2
158 2 0
159 2 0
160 0 2
161 2 0
163 2 0
166 2 0
168 2 0
170 2 0
171 2 0
172 0 2
173 0 2
174 0 2
176 2 0
178 2 0
183 2 0
186 2 0
188 0 2
190 0 2
191 0 2
193 0 2
194 2 0
195 0 2
196 2 0
199 0 2
201 0 2
202 2 0
204 0 2
205 2 0
207 0 2
208 0 2
211 0 2
213 0 2
215 0 2
216 0 2
217 0 2
218 2 0
219 0 2
221 2 0
225 0 2
226 0 2
227 0 2
231 0 2
235 0 2
236 2 0
237 0 2
238 2 0
239 0 2
240 2 0
243 0 2
246 2 0
248 0 2
249 2 0
250 0 2
251 0 2
252 2 0
254 0 2
258 2 0
259 2 0
260 0 2
261 0 2
263 0 2
264 2 0
265 2 0
268 0 2
271 0 2
272 0 2
273 0 2
274 2 0
276 2 0
277 2 0
278 2 0
285 2 0
286 0 2
287 0 2
291 0 2
292 0 2
293 2 0
296 2 0
298 2 0
299 2 0
312 0 2
314 2 0
321 0 2
322 0 2
323 0 2
324 2 0
325 2 0
326 0 2
327 0 2
328 0 2
329 0 2
330 0 2
333 0 2
334 2 0
335 0 2
337 0 2
340 2 0
341 0 2
343 2 0
344 2 0
345 0 2
346 0 2
351 0 2
352 0 2
353 0 2
354 0 2
355 0 2
356 0 2
357 0 2
360 0 2
361 2 0
362 0 2
363 2 0
365 2 0
367 0 2
368 0 2
369 0 2
370 0 2
371 0 2
372 0 2
375 0 2
378 2 0
379 0 2
381 0 2
~~~~~~~~~~~~~~
lop$nSubj vs CUE:
APP AVO
107 1 1
108 1 1
109 1 1
110 1 1
111 1 1
114 1 1
117 1 1
120 1 1
121 1 1
123 1 1
126 1 1
130 1 1
131 1 1
132 1 1
133 1 1
135 1 1
136 1 1
137 1 1
138 1 1
139 1 1
141 1 1
142 1 1
143 1 1
144 1 1
145 1 1
146 1 1
147 1 1
148 1 1
149 1 1
150 1 1
151 1 1
152 1 1
153 1 1
154 1 1
155 1 1
157 1 1
158 1 1
159 1 1
160 1 1
161 1 1
163 1 1
166 1 1
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***** End of data structure information *****
++++++++++++++++++++++++++++++++++++++++++++++++++++
Reading input files now...
Reading input files: Done!
Range of input data: [-14.903, 12.813]
If the program hangs here for more than, for example, half an hour,
kill the process because the model specification or the GLT coding
is likely inappropriate.
Error in if (all(abs(inData[ii, jj, kk, ]) < 1e-07)) fm <- NULL else { :
missing value where TRUE/FALSE needed
Execution halted
I'm getting a new error running 3dMVM, even on scripts that previously worked. My binaries are up to date and I'm running R 3.6.3. This on MacOS 10.14.6.
I'm getting the following error:
Error in if (all(abs(inData[ii, jj, kk, ]) < 1e-07)) fm <- NULL else { :
missing value where TRUE/FALSE needed
Execution halted
thanks,
Stu
The diary file contents is:
3dMVM -prefix CUExSES_minority_1.20.21 -jobs 4 -bsVars MIN+SES -qVars SES -wsVars CUE -mask NEW_MASK+tlrc -dataTable Subj MIN SES CUE InputFile 107 0 0.1888 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/107/APP+tlrc 108 1 -1.3721 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/108/APP+tlrc 109 0 -0.3595 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/109/APP+tlrc 110 1 -0.4101 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/110/APP+tlrc 111 1 -0.165 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/111/APP+tlrc 114 0 -0.8738 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/114/APP+tlrc 117 1 0.0548 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/117/APP+tlrc 120 1 -0.9695 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/120/APP+tlrc 121 0 2.135 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/121/APP+tlrc 123 0 1.4133 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/123/APP+tlrc 126 0 0.261 APP /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/126/APP+tlrc 130 1 -0.1334 APP 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0.2935 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/148/AVO+tlrc 149 0 0.5506 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/149/AVO+tlrc 150 1 0.2288 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/150/AVO+tlrc 151 0 0.2772 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/151/AVO+tlrc 152 0 0.0235 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/152/AVO+tlrc 153 1 -0.1176 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/153/AVO+tlrc 154 0 0.5689 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/154/AVO+tlrc 155 0 2.6606 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/155/AVO+tlrc 157 1 -0.6061 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/157/AVO+tlrc 158 0 -0.0078 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/158/AVO+tlrc 159 0 0.5325 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/159/AVO+tlrc 160 1 0.4792 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/160/AVO+tlrc 161 0 0.7855 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/161/AVO+tlrc 163 0 2.0024 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/163/AVO+tlrc 166 0 0.693 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/166/AVO+tlrc 168 0 1.2605 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/168/AVO+tlrc 170 0 1.0475 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/170/AVO+tlrc 171 0 0.7232 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/171/AVO+tlrc 172 1 0.1492 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/172/AVO+tlrc 173 1 0.3099 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/173/AVO+tlrc 174 1 0.4444 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/174/AVO+tlrc 176 0 0.8738 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/176/AVO+tlrc 178 0 0.8289 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/178/AVO+tlrc 183 0 0.3931 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/183/AVO+tlrc 186 0 0.8511 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/186/AVO+tlrc 188 1 0.6441 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/188/AVO+tlrc 190 1 0.3595 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/190/AVO+tlrc 191 1 -0.8289 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/191/AVO+tlrc 193 1 -0.2128 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/193/AVO+tlrc 194 0 0.7644 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/194/AVO+tlrc 195 1 -0.0548 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/195/AVO+tlrc 196 0 -0.1018 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/196/AVO+tlrc 199 1 -0.0235 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/199/AVO+tlrc 201 1 1.2266 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/201/AVO+tlrc 202 0 0.5146 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/202/AVO+tlrc 204 1 0.4968 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/204/AVO+tlrc 205 0 0.897 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/205/AVO+tlrc 207 1 -1.5542 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/207/AVO+tlrc 208 1 -2.135 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/208/AVO+tlrc 211 1 -0.0783 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/211/AVO+tlrc 213 1 0.2128 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/213/AVO+tlrc 215 1 -0.1968 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/215/AVO+tlrc 216 1 -0.897 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/216/AVO+tlrc 217 1 -0.0391 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/217/AVO+tlrc 218 0 1.4571 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/218/AVO+tlrc 219 1 -1.1628 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/219/AVO+tlrc 221 0 -1.0208 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/221/AVO+tlrc 225 1 -0.2935 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/225/AVO+tlrc 226 1 -0.3099 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/226/AVO+tlrc 227 1 0.9695 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/227/AVO+tlrc 231 1 1.5542 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/231/AVO+tlrc 235 1 0.0704 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/235/AVO+tlrc 236 0 1.075 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/236/AVO+tlrc 237 1 -0.2772 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/237/AVO+tlrc 238 0 0.0861 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/238/AVO+tlrc 239 1 1.6688 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/239/AVO+tlrc 240 0 0.2449 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/240/AVO+tlrc 243 1 0.1018 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/243/AVO+tlrc 246 0 0.625 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/246/AVO+tlrc 248 1 1.1628 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/248/AVO+tlrc 249 0 1.7353 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/249/AVO+tlrc 250 1 -0.3264 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/250/AVO+tlrc 251 1 -0.7644 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/251/AVO+tlrc 252 0 0.1176 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/252/AVO+tlrc 254 1 0.4186 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/254/AVO+tlrc 258 0 1.1033 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/258/AVO+tlrc 259 0 0.5874 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/259/AVO+tlrc 260 1 -1.2959 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/260/AVO+tlrc 261 1 -0.7232 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/261/AVO+tlrc 263 1 -1.4571 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/263/AVO+tlrc 264 0 0.3429 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/264/AVO+tlrc 265 0 1.333 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/265/AVO+tlrc 268 1 -0.5146 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/268/AVO+tlrc 271 1 -2.3211 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/271/AVO+tlrc 272 1 -1.6089 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/272/AVO+tlrc 273 1 -0.7855 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/273/AVO+tlrc 274 0 0.7436 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/274/AVO+tlrc 276 0 0.9206 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/276/AVO+tlrc 277 0 0.9948 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/277/AVO+tlrc 278 0 -0.1809 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/278/AVO+tlrc 285 0 1.8978 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/285/AVO+tlrc 286 1 1.1941 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/286/AVO+tlrc 287 1 -1.8978 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/287/AVO+tlrc 291 1 -0.4792 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/291/AVO+tlrc 292 1 -2.6606 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/292/AVO+tlrc 293 0 0.4186 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/293/AVO+tlrc 296 0 -1.1033 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/296/AVO+tlrc 298 0 1.3721 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/298/AVO+tlrc 299 0 2.3211 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/299/AVO+tlrc 312 1 -0.9206 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/312/AVO+tlrc 314 0 0.9448 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/314/AVO+tlrc 321 1 -1.6688 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/321/AVO+tlrc 322 1 -0.3763 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/322/AVO+tlrc 323 1 -0.6441 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/323/AVO+tlrc 324 0 1.6089 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/324/AVO+tlrc 325 0 1.2959 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/325/AVO+tlrc 326 1 -0.0783 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/326/AVO+tlrc 327 1 -0.9448 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/327/AVO+tlrc 328 1 -1.4133 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/328/AVO+tlrc 329 1 -2.0024 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/329/AVO+tlrc 330 1 -0.8511 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/330/AVO+tlrc 333 1 -0.703 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/333/AVO+tlrc 334 0 -1.1325 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/334/AVO+tlrc 335 1 -0.807 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/335/AVO+tlrc 337 1 -0.3931 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/337/AVO+tlrc 340 0 1.8106 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/340/AVO+tlrc 341 1 -1.2605 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/341/AVO+tlrc 343 0 0.6635 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/343/AVO+tlrc 344 0 0.807 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/344/AVO+tlrc 345 1 -0.4272 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/345/AVO+tlrc 346 1 -0.1492 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/346/AVO+tlrc 351 1 0.0078 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/351/AVO+tlrc 352 1 -1.5039 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/352/AVO+tlrc 353 1 -1.075 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/353/AVO+tlrc 354 1 -0.6831 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/354/AVO+tlrc 355 1 -1.333 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/355/AVO+tlrc 356 1 0.3763 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/356/AVO+tlrc 357 1 -0.5415 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/357/AVO+tlrc 360 1 -1.1941 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/360/AVO+tlrc 361 0 -0.4617 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/361/AVO+tlrc 362 1 -0.5689 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/362/AVO+tlrc 363 0 -0.2449 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/363/AVO+tlrc 365 0 0.3264 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/365/AVO+tlrc 367 1 -1.7353 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/367/AVO+tlrc 368 1 0.4617 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/368/AVO+tlrc 369 1 -0.5415 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/369/AVO+tlrc 370 1 -0.5874 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/370/AVO+tlrc 371 1 -0.4968 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/371/AVO+tlrc 372 1 -0.2288 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/372/AVO+tlrc 375 1 -1.0475 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/375/AVO+tlrc 378 0 1.5039 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/378/AVO+tlrc 379 1 -1.2266 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/379/AVO+tlrc 381 1 -0.9948 AVO /Users/whistu/Desktop/fMRI/MILLER_PA/SUBS/381/AVO+tlrc
updating R_LD_LIBRARY_PATH ...
Loading required package: lme4
Loading required package: Matrix
Registered S3 methods overwritten by 'car':
method from
influence.merMod lme4
cooks.distance.influence.merMod lme4
dfbeta.influence.merMod lme4
dfbetas.influence.merMod lme4
************
Welcome to afex. For support visit: [afex.singmann.science]
- Functions for ANOVAs: aov_car(), aov_ez(), and aov_4()
- Methods for calculating p-values with mixed(): 'KR', 'S', 'LRT', and 'PB'
- 'afex_aov' and 'mixed' objects can be passed to emmeans() for follow-up tests
- NEWS: library('emmeans') now needs to be called explicitly!
- Get and set global package options with: afex_options()
- Set orthogonal sum-to-zero contrasts globally: set_sum_contrasts()
- For example analyses see: browseVignettes("afex")
************
Attaching package: 'afex'
The following object is masked from 'package:lme4':
lmer
Loading required package: car
Loading required package: carData
++++++++++++++++++++++++++++++++++++++++++++++++++++
***** Summary information of data structure *****
160 subjects : 107 108 109 110 111 114 117 120 121 123 126 130 131 132 133 135 136 137 138 139 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 157 158 159 160 161 163 166 168 170 171 172 173 174 176 178 183 186 188 190 191 193 194 195 196 199 201 202 204 205 207 208 211 213 215 216 217 218 219 221 225 226 227 231 235 236 237 238 239 240 243 246 248 249 250 251 252 254 258 259 260 261 263 264 265 268 271 272 273 274 276 277 278 285 286 287 291 292 293 296 298 299 312 314 321 322 323 324 325 326 327 328 329 330 333 334 335 337 340 341 343 344 345 346 351 352 353 354 355 356 357 360 361 362 363 365 367 368 369 370 371 372 375 378 379 381
320 response values
2 levels for factor MIN : 0 1
320 centered values for numeric variable SES : 0.1888019 -1.372098 -0.3594981 -0.4100981 -0.1649981 -0.8737981 0.05480187 -0.9694981 2.135002 1.413302 0.2610019 -0.1333981 -0.7435981 1.132502 0.1334019 -0.6634981 0.6061019 0.1650019 1.020802 -1.810598 0.1888019 0.6930019 -0.3428981 -0.4443981 -0.2609981 -0.6249981 0.03910188 0.2935019 0.5506019 0.2288019 0.2772019 0.02350188 -0.1175981 0.5689019 2.660602 -0.6060981 -0.007798125 0.5325019 0.4792019 0.7855019 2.002402 0.6930019 1.260502 1.047502 0.7232019 0.1492019 0.3099019 0.4444019 0.8738019 0.8289019 0.3931019 0.8511019 0.6441019 0.3595019 -0.8288981 -0.2127981 0.7644019 -0.05479813 -0.1017981 -0.02349812 1.226602 0.5146019 0.4968019 0.8970019 -1.554198 -2.134998 -0.07829812 0.2128019 -0.1967981 -0.8969981 -0.03909813 1.457102 -1.162798 -1.020798 -0.2934981 -0.3098981 0.9695019 1.554202 0.07040188 1.075002 -0.2771981 0.08610187 1.668802 0.2449019 0.1018019 0.6250019 1.162802 1.735302 -0.3263981 -0.7643981 0.1176019 0.4186019 1.103302 0.5874019 -1.295898 -0.7231981 -1.457098 0.3429019 1.333002 -0.5145981 -2.321098 -1.608898 -0.7854981 0.7436019 0.9206019 0.9948019 -0.1808981 1.897802 1.194102 -1.897798 -0.4791981 -2.660598 0.4186019 -1.103298 1.372102 2.321102 -0.9205981 0.9448019 -1.668798 -0.3762981 -0.6440981 1.608902 1.295902 -0.07829812 -0.9447981 -1.413298 -2.002398 -0.8510981 -0.7029981 -1.132498 -0.8069981 -0.3930981 1.810602 -1.260498 0.6635019 0.8070019 -0.4271981 -0.1491981 0.007801875 -1.503898 -1.074998 -0.6830981 -1.332998 0.3763019 -0.5414981 -1.194098 -0.4616981 -0.5688981 -0.2448981 0.3264019 -1.735298 0.4617019 -0.5414981 -0.5873981 -0.4967981 -0.2287981 -1.047498 1.503902 -1.226598 -0.9947981 0.1888019 -1.372098 -0.3594981 -0.4100981 -0.1649981 -0.8737981 0.05480187 -0.9694981 2.135002 1.413302 0.2610019 -0.1333981 -0.7435981 1.132502 0.1334019 -0.6634981 0.6061019 0.1650019 1.020802 -1.810598 0.1888019 0.6930019 -0.3428981 -0.4443981 -0.2609981 -0.6249981 0.03910188 0.2935019 0.5506019 0.2288019 0.2772019 0.02350188 -0.1175981 0.5689019 2.660602 -0.6060981 -0.007798125 0.5325019 0.4792019 0.7855019 2.002402 0.6930019 1.260502 1.047502 0.7232019 0.1492019 0.3099019 0.4444019 0.8738019 0.8289019 0.3931019 0.8511019 0.6441019 0.3595019 -0.8288981 -0.2127981 0.7644019 -0.05479813 -0.1017981 -0.02349812 1.226602 0.5146019 0.4968019 0.8970019 -1.554198 -2.134998 -0.07829812 0.2128019 -0.1967981 -0.8969981 -0.03909813 1.457102 -1.162798 -1.020798 -0.2934981 -0.3098981 0.9695019 1.554202 0.07040188 1.075002 -0.2771981 0.08610187 1.668802 0.2449019 0.1018019 0.6250019 1.162802 1.735302 -0.3263981 -0.7643981 0.1176019 0.4186019 1.103302 0.5874019 -1.295898 -0.7231981 -1.457098 0.3429019 1.333002 -0.5145981 -2.321098 -1.608898 -0.7854981 0.7436019 0.9206019 0.9948019 -0.1808981 1.897802 1.194102 -1.897798 -0.4791981 -2.660598 0.4186019 -1.103298 1.372102 2.321102 -0.9205981 0.9448019 -1.668798 -0.3762981 -0.6440981 1.608902 1.295902 -0.07829812 -0.9447981 -1.413298 -2.002398 -0.8510981 -0.7029981 -1.132498 -0.8069981 -0.3930981 1.810602 -1.260498 0.6635019 0.8070019 -0.4271981 -0.1491981 0.007801875 -1.503898 -1.074998 -0.6830981 -1.332998 0.3763019 -0.5414981 -1.194098 -0.4616981 -0.5688981 -0.2448981 0.3264019 -1.735298 0.4617019 -0.5414981 -0.5873981 -0.4967981 -0.2287981 -1.047498 1.503902 -1.226598 -0.9947981
2 levels for factor CUE : APP AVO
0 post hoc tests
Contingency tables of subject distributions among the categorical variables:
CUE
MIN APP AVO
0 65 65
1 95 95
Tabulation of subjects against each of the categorical variables:
~~~~~~~~~~~~~~
lop$nSubj vs MIN:
0 1
107 2 0
108 0 2
109 2 0
110 0 2
111 0 2
114 2 0
117 0 2
120 0 2
121 2 0
123 2 0
126 2 0
130 0 2
131 0 2
132 2 0
133 0 2
135 0 2
136 2 0
137 0 2
138 0 2
139 0 2
141 2 0
142 0 2
143 0 2
144 0 2
145 0 2
146 2 0
147 2 0
148 2 0
149 2 0
150 0 2
151 2 0
152 2 0
153 0 2
154 2 0
155 2 0
157 0 2
158 2 0
159 2 0
160 0 2
161 2 0
163 2 0
166 2 0
168 2 0
170 2 0
171 2 0
172 0 2
173 0 2
174 0 2
176 2 0
178 2 0
183 2 0
186 2 0
188 0 2
190 0 2
191 0 2
193 0 2
194 2 0
195 0 2
196 2 0
199 0 2
201 0 2
202 2 0
204 0 2
205 2 0
207 0 2
208 0 2
211 0 2
213 0 2
215 0 2
216 0 2
217 0 2
218 2 0
219 0 2
221 2 0
225 0 2
226 0 2
227 0 2
231 0 2
235 0 2
236 2 0
237 0 2
238 2 0
239 0 2
240 2 0
243 0 2
246 2 0
248 0 2
249 2 0
250 0 2
251 0 2
252 2 0
254 0 2
258 2 0
259 2 0
260 0 2
261 0 2
263 0 2
264 2 0
265 2 0
268 0 2
271 0 2
272 0 2
273 0 2
274 2 0
276 2 0
277 2 0
278 2 0
285 2 0
286 0 2
287 0 2
291 0 2
292 0 2
293 2 0
296 2 0
298 2 0
299 2 0
312 0 2
314 2 0
321 0 2
322 0 2
323 0 2
324 2 0
325 2 0
326 0 2
327 0 2
328 0 2
329 0 2
330 0 2
333 0 2
334 2 0
335 0 2
337 0 2
340 2 0
341 0 2
343 2 0
344 2 0
345 0 2
346 0 2
351 0 2
352 0 2
353 0 2
354 0 2
355 0 2
356 0 2
357 0 2
360 0 2
361 2 0
362 0 2
363 2 0
365 2 0
367 0 2
368 0 2
369 0 2
370 0 2
371 0 2
372 0 2
375 0 2
378 2 0
379 0 2
381 0 2
~~~~~~~~~~~~~~
lop$nSubj vs CUE:
APP AVO
107 1 1
108 1 1
109 1 1
110 1 1
111 1 1
114 1 1
117 1 1
120 1 1
121 1 1
123 1 1
126 1 1
130 1 1
131 1 1
132 1 1
133 1 1
135 1 1
136 1 1
137 1 1
138 1 1
139 1 1
141 1 1
142 1 1
143 1 1
144 1 1
145 1 1
146 1 1
147 1 1
148 1 1
149 1 1
150 1 1
151 1 1
152 1 1
153 1 1
154 1 1
155 1 1
157 1 1
158 1 1
159 1 1
160 1 1
161 1 1
163 1 1
166 1 1
168 1 1
170 1 1
171 1 1
172 1 1
173 1 1
174 1 1
176 1 1
178 1 1
183 1 1
186 1 1
188 1 1
190 1 1
191 1 1
193 1 1
194 1 1
195 1 1
196 1 1
199 1 1
201 1 1
202 1 1
204 1 1
205 1 1
207 1 1
208 1 1
211 1 1
213 1 1
215 1 1
216 1 1
217 1 1
218 1 1
219 1 1
221 1 1
225 1 1
226 1 1
227 1 1
231 1 1
235 1 1
236 1 1
237 1 1
238 1 1
239 1 1
240 1 1
243 1 1
246 1 1
248 1 1
249 1 1
250 1 1
251 1 1
252 1 1
254 1 1
258 1 1
259 1 1
260 1 1
261 1 1
263 1 1
264 1 1
265 1 1
268 1 1
271 1 1
272 1 1
273 1 1
274 1 1
276 1 1
277 1 1
278 1 1
285 1 1
286 1 1
287 1 1
291 1 1
292 1 1
293 1 1
296 1 1
298 1 1
299 1 1
312 1 1
314 1 1
321 1 1
322 1 1
323 1 1
324 1 1
325 1 1
326 1 1
327 1 1
328 1 1
329 1 1
330 1 1
333 1 1
334 1 1
335 1 1
337 1 1
340 1 1
341 1 1
343 1 1
344 1 1
345 1 1
346 1 1
351 1 1
352 1 1
353 1 1
354 1 1
355 1 1
356 1 1
357 1 1
360 1 1
361 1 1
362 1 1
363 1 1
365 1 1
367 1 1
368 1 1
369 1 1
370 1 1
371 1 1
372 1 1
375 1 1
378 1 1
379 1 1
381 1 1
***** End of data structure information *****
++++++++++++++++++++++++++++++++++++++++++++++++++++
Reading input files now...
Reading input files: Done!
Range of input data: [-14.903, 12.813]
If the program hangs here for more than, for example, half an hour,
kill the process because the model specification or the GLT coding
is likely inappropriate.
Error in if (all(abs(inData[ii, jj, kk, ]) < 1e-07)) fm <- NULL else { :
missing value where TRUE/FALSE needed
Execution halted
| Subject | Author | Posted |
|---|---|---|
|
stuart.white | January 20, 2021 10:40AM |
|
stuart.white | January 20, 2021 11:00AM |
