This program performs multiple linear regression analysis.
Usage:
3dRegAna
-rows n number of input datasets
-cols m number of X variables
-xydata X11 X12 ... X1m filename X variables and Y observations
. .
. .
. .
-xydata Xn1 Xn2 ... Xnm filename X variables and Y observations
-model i1 ... iq : j1 ... jr definition of linear regression model;
reduced model:
Y = f(Xj1,...,Xjr)
full model:
Y = f(Xj1,...,Xjr,Xi1,...,Xiq)
[-diskspace] print out disk space required for program execution
[-workmem mega] number of megabytes of RAM to use for statistical
workspace (default = 750 (was 12))
[-rmsmin r] r = minimum rms error to reject constant model
[-fdisp fval] display (to screen) results for those voxels
whose F-statistic is > fval
[-flof alpha] alpha = minimum p value for F due to lack of fit
The following commands generate individual AFNI 2 sub-brick datasets:
[-fcoef k prefixname] estimate of kth regression coefficient
along with F-test for the regression
is written to AFNI `fift' dataset
[-rcoef k prefixname] estimate of kth regression coefficient
along with coef. of mult. deter. R^2
is written to AFNI `fith' dataset
[-tcoef k prefixname] estimate of kth regression coefficient
along with t-test for the coefficient
is written to AFNI `fitt' dataset
The following commands generate one AFNI 'bucket' type dataset:
[-bucket n prefixname] create one AFNI 'bucket' dataset having
n sub-bricks; n=0 creates default output;
output 'bucket' is written to prefixname
The mth sub-brick will contain:
[-brick m coef k label] kth parameter regression coefficient
[-brick m fstat label] F-stat for significance of regression
[-brick m rstat label] coefficient of multiple determination R^2
[-brick m tstat k label] t-stat for kth regression coefficient
[-datum DATUM] write the output in DATUM format.
Choose from short (default) or float.
N.B.: For this program, the user must specify 1 and only 1 sub-brick
with each -xydata command. That is, if an input dataset contains
more than 1 sub-brick, a sub-brick selector must be used, e.g.:
-xydata 2.17 4.59 7.18 'fred+orig[3]'
INPUT DATASET NAMES
-------------------
This program accepts datasets that are modified on input according to the
following schemes:
'r1+orig[3..5]' {sub-brick selector}
'r1+orig<100..200>' {sub-range selector}
'r1+orig[3..5]<100..200>' {both selectors}
'3dcalc( -a r1+orig -b r2+orig -expr 0.5*(a+b) )' {calculation}
For the gruesome details, see the output of 'afni -help'.
++ Compile date = Oct 13 2022 {AFNI_22.3.03:linux_ubuntu_16_64}
