I have data from two studies that used different types of stimuli (sentence vs. word movies), but both types of stimuli have five different modalities (e.g., noisy vs. clear movie, etc.). The participants are different and with uneven numbers (20 vs. 15) in the two studies.
I would like to compare these two groups, so basically I have 3 factors:
Factor A: stimuli type has 2 levels:
1) sentence; 2) word
Factor B: stimuli modality has 5 levels:
Factor C: SUBJECTS (random effect, but I have uneven numbers here, 20 subjects for study1 and 15 for study2)
I am mostly interested in the interaction between Factor A * Factor B
Which AFNI function should I use for testing?
Here is the error I got in the terminal:
Error in seq.default(wd + ii, len, wd) : wrong sign in ‘by’ argument
Calls: process.MVM.opts → data.frame → cbind → seq → seq.default
Execution halted
Possible reasons:
0) Make sure that R packages afex and phia have been installed. See the 3dMVM
help documentation for more details.
....
....
** Error:
Quitting due to model test failure...
I was trying to run: @3dMVM_validator -dataTable ~/table.csv
OR
@3dMVM_validator -dataTable ~/table.txt
Got the error: @3dMVM_validator: Command not found.
I definitely have the R packages installed.
And my table.txt looks like this:
Subj group condition noisy InputFile \
QO sentence A no stats.QO+tlrc[1] \
QO sentence V no stats.QO+tlrc[4] \
QO sentence AV no stats.QO+tlrc[7] \
QO sentence A yes stats.QO+tlrc[10] \
QO sentence AV yes stats.QO+tlrc[13] \
QP sentence A no stats.QP+tlrc[1] \
QP sentence V no stats.QP+tlrc[4] \
QP sentence AV no stats.QP+tlrc[7] \
QP sentence A yes stats.QP+tlrc[10] \
QP sentence AV yes stats.QP+tlrc[13] \
QQ sentence A no stats.QQ+tlrc[1] \
QQ sentence V no stats.QQ+tlrc[4] \
QQ sentence AV no stats.QQ+tlrc[7] \
QQ sentence A yes stats.QQ+tlrc[10] \
QQ sentence AV yes stats.QQ+tlrc[13] \
QR sentence A no stats.QR+tlrc[1] \
QR sentence V no stats.QR+tlrc[4] \
QR sentence AV no stats.QR+tlrc[7] \
QR sentence A yes stats.QR+tlrc[10] \
QR sentence AV yes stats.QR+tlrc[13] \
QS sentence A no stats.QS+tlrc[1] \
QS sentence V no stats.QS+tlrc[4] \
QS sentence AV no stats.QS+tlrc[7] \
QS sentence A yes stats.QS+tlrc[10] \
QS sentence AV yes stats.QS+tlrc[13] \
QT sentence A no stats.QT+tlrc[1] \
QT sentence V no stats.QT+tlrc[4] \
QT sentence AV no stats.QT+tlrc[7] \
QT sentence A yes stats.QT+tlrc[10] \
QT sentence AV yes stats.QT+tlrc[13] \
QU sentence A no stats.QU+tlrc[1] \
QU sentence V no stats.QU+tlrc[4] \
QU sentence AV no stats.QU+tlrc[7] \
QU sentence A yes stats.QU+tlrc[10] \
QU sentence AV yes stats.QU+tlrc[13] \
QV sentence A no stats.QV+tlrc[1] \
QV sentence V no stats.QV+tlrc[4] \
QV sentence AV no stats.QV+tlrc[7] \
QV sentence A yes stats.QV+tlrc[10] \
QV sentence AV yes stats.QV+tlrc[13] \
QW sentence A no stats.QW+tlrc[1] \
QW sentence V no stats.QW+tlrc[4] \
QW sentence AV no stats.QW+tlrc[7] \
QW sentence A yes stats.QW+tlrc[10] \
QW sentence AV yes stats.QW+tlrc[13] \
QX sentence A no stats.QX+tlrc[1] \
QX sentence V no stats.QX+tlrc[4] \
QX sentence AV no stats.QX+tlrc[7] \
QX sentence A yes stats.QX+tlrc[10] \
QX sentence AV yes stats.QX+tlrc[13] \
QY sentence A no stats.QY+tlrc[1] \
QY sentence V no stats.QY+tlrc[4] \
QY sentence AV no stats.QY+tlrc[7] \
QY sentence A yes stats.QY+tlrc[10] \
QY sentence AV yes stats.QY+tlrc[13] \
QZ sentence A no stats.QZ+tlrc[1] \
QZ sentence V no stats.QZ+tlrc[4] \
QZ sentence AV no stats.QZ+tlrc[7] \
QZ sentence A yes stats.QZ+tlrc[10] \
QZ sentence AV yes stats.QZ+tlrc[13] \
RA sentence A no stats.RA+tlrc[1] \
RA sentence V no stats.RA+tlrc[4] \
RA sentence AV no stats.RA+tlrc[7] \
RA sentence A yes stats.RA+tlrc[10] \
RA sentence AV yes stats.RA+tlrc[13] \
RB sentence A no stats.RB+tlrc[1] \
RB sentence V no stats.RB+tlrc[4] \
RB sentence AV no stats.RB+tlrc[7] \
RB sentence A yes stats.RB+tlrc[10] \
RB sentence AV yes stats.RB+tlrc[13] \
RC sentence A no stats.RC+tlrc[1] \
RC sentence V no stats.RC+tlrc[4] \
RC sentence AV no stats.RC+tlrc[7] \
RC sentence A yes stats.RC+tlrc[10] \
RC sentence AV yes stats.RC+tlrc[13] \
RD sentence A no stats.RD+tlrc[1] \
RD sentence V no stats.RD+tlrc[4] \
RD sentence AV no stats.RD+tlrc[7] \
RD sentence A yes stats.RD+tlrc[10] \
RD sentence AV yes stats.RD+tlrc[13] \
RE sentence A no stats.RE+tlrc[1] \
RE sentence V no stats.RE+tlrc[4] \
RE sentence AV no stats.RE+tlrc[7] \
RE sentence A yes stats.RE+tlrc[10] \
RE sentence AV yes stats.RE+tlrc[13] \
RF sentence A no stats.RF+tlrc[1] \
RF sentence V no stats.RF+tlrc[4] \
RF sentence AV no stats.RF+tlrc[7] \
RF sentence A yes stats.RF+tlrc[10] \
RF sentence AV yes stats.RF+tlrc[13] \
RG sentence A no stats.RG+tlrc[1] \
RG sentence V no stats.RG+tlrc[4] \
RG sentence AV no stats.RG+tlrc[7] \
RG sentence A yes stats.RG+tlrc[10] \
RG sentence AV yes stats.RG+tlrc[13] \
RH sentence A no stats.RH+tlrc[1] \
RH sentence V no stats.RH+tlrc[4] \
RH sentence AV no stats.RH+tlrc[7] \
RH sentence A yes stats.RH+tlrc[10] \
RH sentence AV yes stats.RH+tlrc[13] \
RI sentence A no stats.RI+tlrc[1] \
RI sentence V no stats.RI+tlrc[4] \
RI sentence AV no stats.RI+tlrc[7] \
RI sentence A yes stats.RI+tlrc[10] \
RI sentence AV yes stats.RI+tlrc[13] \
RJ sentence A no stats.RJ+tlrc[1] \
RJ sentence V no stats.RJ+tlrc[4] \
RJ sentence AV no stats.RJ+tlrc[7] \
RJ sentence A yes stats.RJ+tlrc[10] \
RJ sentence AV yes stats.RJ+tlrc[13] \
RX word A yes stats.RX+tlrc[1] \
RX word A no stats.RX+tlrc[4] \
RX word V no stats.RX+tlrc[7] \
RX word AV yes stats.RX+tlrc[10] \
RX word AV no stats.RX+tlrc[13] \
RY word A yes stats.RY+tlrc[1] \
RY word A no stats.RY+tlrc[4] \
RY word V no stats.RY+tlrc[7] \
RY word AV yes stats.RY+tlrc[10] \
RY word AV no stats.RY+tlrc[13] \
RZ word A yes stats.RZ+tlrc[1] \
RZ word A no stats.RZ+tlrc[4] \
RZ word V no stats.RZ+tlrc[7] \
RZ word AV yes stats.RZ+tlrc[10] \
RZ word AV no stats.RZ+tlrc[13] \
SA word A yes stats.SA+tlrc[1] \
SA word A no stats.SA+tlrc[4] \
SA word V no stats.SA+tlrc[7] \
SA word AV yes stats.SA+tlrc[10] \
SA word AV no stats.SA+tlrc[13] \
SB word A yes stats.SB+tlrc[1] \
SB word A no stats.SB+tlrc[4] \
SB word V no stats.SB+tlrc[7] \
SB word AV yes stats.SB+tlrc[10] \
SB word AV no stats.SB+tlrc[13] \
SC word A yes stats.SC+tlrc[1] \
SC word A no stats.SC+tlrc[4] \
SC word V no stats.SC+tlrc[7] \
SC word AV yes stats.SC+tlrc[10] \
SC word AV no stats.SC+tlrc[13] \
SD word A yes stats.SD+tlrc[1] \
SD word A no stats.SD+tlrc[4] \
SD word V no stats.SD+tlrc[7] \
SD word AV yes stats.SD+tlrc[10] \
SD word AV no stats.SD+tlrc[13] \
SE word A yes stats.SE+tlrc[1] \
SE word A no stats.SE+tlrc[4] \
SE word V no stats.SE+tlrc[7] \
SE word AV yes stats.SE+tlrc[10] \
SE word AV no stats.SE+tlrc[13] \
SF word A yes stats.SF+tlrc[1] \
SF word A no stats.SF+tlrc[4] \
SF word V no stats.SF+tlrc[7] \
SF word AV yes stats.SF+tlrc[10] \
SF word AV no stats.SF+tlrc[13] \
SG word A yes stats.SG+tlrc[1] \
SG word A no stats.SG+tlrc[4] \
SG word V no stats.SG+tlrc[7] \
SG word AV yes stats.SG+tlrc[10] \
SG word AV no stats.SG+tlrc[13] \
SH word A yes stats.SH+tlrc[1] \
SH word A no stats.SH+tlrc[4] \
SH word V no stats.SH+tlrc[7] \
SH word AV yes stats.SH+tlrc[10] \
SH word AV no stats.SH+tlrc[13] \
SI word A yes stats.SI+tlrc[1] \
SI word A no stats.SI+tlrc[4] \
SI word V no stats.SI+tlrc[7] \
SI word AV yes stats.SI+tlrc[10] \
SI word AV no stats.SI+tlrc[13] \
SJ word A yes stats.SJ+tlrc[1] \
SJ word A no stats.SJ+tlrc[4] \
SJ word V no stats.SJ+tlrc[7] \
SJ word AV yes stats.SJ+tlrc[10] \
SJ word AV no stats.SJ+tlrc[13] \
SK word A yes stats.SK+tlrc[1] \
SK word A no stats.SK+tlrc[4] \
SK word V no stats.SK+tlrc[7] \
SK word AV yes stats.SK+tlrc[10] \
SK word AV no stats.SK+tlrc[13] \
SL word A yes stats.SL+tlrc[1] \
SL word A no stats.SL+tlrc[4] \
SL word V no stats.SL+tlrc[7] \
SL word AV yes stats.SL+tlrc[10] \
SL word AV no stats.SL+tlrc[13]
Sorry for this long message, but I was not able to spot any mistake in my script or table, could you please help?
Thank you so much!
Yue
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.