AFNI Message Board

Dear AFNI users-

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

History of AFNI updates  

|
April 02, 2015 03:19PM
The model is:
Group: two groups of subjects (ones that had a saline infusion and ones that had an insulin infusion)
Task: viewing of HiFat, LowFat or NonFood pictures
Session (Time Effect): one is average of runs 1-4 while two is average of runs 5-8


Below is my output while running LME model with covariates:

Loading required package: nlme
Loading required package: contrast
Loading required package: Design
Loading required package: Hmisc
Loading required package: survival
Loading required package: splines

Attaching package: 'Hmisc'


The following object(s) are masked from package:survival :

untangle.specials


The following object(s) are masked from package:base :

format.pval,
round.POSIXt,
trunc.POSIXt,
units

Design library by Frank E Harrell Jr

Type library(help='Design'), ?DesignOverview, or ?Design.Overview')
to see overall documentation.


Attaching package: 'Design'


The following object(s) are masked from package:Hmisc :

strgraphwrap


The following object(s) are masked from package:survival :

Surv


Attaching package: 'contrast'


The following object(s) are masked from package:Design :

contrast


++++++++++++++++++++++++++++++++++++++++++++++++++++
***** Summary information of data structure *****
34 subjects : ta0042 ta0062 ta0098 ta0122 ta0130 ta0153 ta0185 ta0698 ta0729 ta1816 ta1848 ta1951 ta1987 ta2085 ta2195 ta2261 ta2299 ta2421 ta2569 ta2708 ta2752 ta2785 ta2820 ta2851 ta2956 ta2997 ta3084 ta3197 ta7135 ta7171 ta7256 ta7277 ta7315 ta7355
204 response values
204 centered values for numeric variable Wanting : 3.93 0.07 -0.67 0.54 1.75 2.97 -2.1 0.47 -1.57 4.18 3.65 1.15 -2.89 -2.68 3.61 2.25 2.23 0.19 2.72 -0.64 -0.11 0.85 0.88 -0.35 0.68 0.07 -0.68 2.72 0.92 0.29 -2.89 -2.25 2 -1.21 0.44 2.26 -0.6 -1.35 -2.21 -0.67 -1.97 -2.67 -0.32 -1.6 -1.89 -2.25 -2.07 -1.68 -2.75 -2.78 -0.32 -0.1 1.99 -0.08 3.11 2.74 -0.43 -1.28 3.36 -0.21 0.92 0.86 -2.78 1.68 0.54 -1.71 1.18 0.54 2 0.47 2.44 1.71 0.15 -0.85 0.43 -0.43 -0.32 1.82 -1.46 2.4 0.15 -1.19 -0.93 1.11 1.65 -1.39 -1.09 0.91 -2.32 -2.85 -0.35 -0.89 -2.75 -1.18 -2.32 -1.21 -1.5 -2.21 -2.1 1.29 0.29 -2.64 3.82 2.22 1.59 2.5 2.93 -1.78 -1.1 -1.28 -1.85 4.5 2.9 0.82 -2.89 -2.71 3.82 3.86 1.9 -1.21 2.4 0.86 2.25 2.04 1 -2.43 2.43 -1.82 -0.39 2.33 0.72 -0.03 -2.89 -2.68 2.04 1.75 1.04 3.15 -0.78 -1.18 -2.89 -0.82 -1.04 -2.63 -1.43 -2.18 -2.21 -2.64 -2.39 -2.14 -2.89 -2.75 -0.6 1.04 1.55 -1.89 4.61 3.32 -1.5 0.36 2.65 1.02 1.15 0.5 -2.75 2.75 -0.89 0.57 3.93 1.86 2.32 1.47 0.11 2.21 -1.1 1.07 0.97 -0.25 0.04 2.36 -1.64 2.57 -0.68 0.61 0.79 0.75 1.47 -0.1 -2.39 -0.13 -2.85 -2.75 -1.14 -1.34 -2.89 -0.89 -2.57 -2.07 -2.1 -2 -1.82 0.9 0.07 -2.82
204 centered values for numeric variable Hunger : 0.55 -0.45 -0.45 -1.45 -3.45 -0.45 -3.45 -1.45 -1.95 2.05 2.05 -0.45 -3.45 -2.95 -1.95 -1.45 1.05 -0.95 0.55 -0.45 -0.45 -1.45 -3.45 -0.45 -3.45 -1.45 -1.95 2.05 2.05 -0.45 -3.45 -2.95 -1.95 -1.45 1.05 -0.95 0.55 -0.45 -0.45 -1.45 -3.45 -0.45 -3.45 -1.45 -1.95 2.05 2.05 -0.45 -3.45 -2.95 -1.95 -1.45 1.05 -0.95 1.05 4.55 -3.45 -0.95 3.55 -0.95 0.05 -2.95 -2.95 -0.95 -3.45 -2.45 0.05 -0.95 1.05 -0.45 1.05 4.55 -3.45 -0.95 3.55 -0.95 0.05 -2.95 -2.95 -0.95 -3.45 -2.45 0.05 -0.95 1.05 -0.45 1.05 4.55 -3.45 -0.95 3.55 -0.95 0.05 -2.95 -2.95 -0.95 -3.45 -2.45 0.05 -0.95 1.05 -0.45 2.55 3.05 2.55 0.55 0.05 -1.95 -1.95 -1.95 2.05 3.55 3.05 0.05 -3.45 -3.45 -1.45 2.55 0.05 -1.45 2.55 3.05 2.55 0.55 0.05 -1.95 -1.95 -1.95 2.05 3.55 3.05 0.05 -3.45 -3.45 -1.45 2.55 0.05 -1.45 2.55 3.05 2.55 0.55 0.05 -1.95 -1.95 -1.95 2.05 3.55 3.05 0.05 -3.45 -3.45 -1.45 2.55 0.05 -1.45 2.55 4.55 -2.45 1.05 3.05 2.05 2.05 -0.45 0.05 3.05 -3.45 1.55 3.55 2.55 2.05 1.55 2.55 4.55 -2.45 1.05 3.05 2.05 2.05 -0.45 0.05 3.05 -3.45 1.55 3.55 2.55 2.05 1.55 2.55 4.55 -2.45 1.05 3.05 2.05 2.05 -0.45 0.05 3.05 -3.45 1.55 3.55 2.55 2.05 1.55
2 levels for factor Session : one two
3 levels for factor Task : HiFat LowFat NonFood
2 levels for factor Group : Eugly Saline
38 post hoc tests

Tabulation of subjects against all categorical variables
~~~~~~~~~~~~~~
Subj vs Session:

one two
ta0042 3 3
ta0062 3 3
ta0098 3 3
ta0122 3 3
ta0130 3 3
ta0153 3 3
ta0185 3 3
ta0698 3 3
ta0729 3 3
ta1816 3 3
ta1848 3 3
ta1951 3 3
ta1987 3 3
ta2085 3 3
ta2195 3 3
ta2261 3 3
ta2299 3 3
ta2421 3 3
ta2569 3 3
ta2708 3 3
ta2752 3 3
ta2785 3 3
ta2820 3 3
ta2851 3 3
ta2956 3 3
ta2997 3 3
ta3084 3 3
ta3197 3 3
ta7135 3 3
ta7171 3 3
ta7256 3 3
ta7277 3 3
ta7315 3 3
ta7355 3 3

~~~~~~~~~~~~~~
Subj vs Task:

HiFat LowFat NonFood
ta0042 2 2 2
ta0062 2 2 2
ta0098 2 2 2
ta0122 2 2 2
ta0130 2 2 2
ta0153 2 2 2
ta0185 2 2 2
ta0698 2 2 2
ta0729 2 2 2
ta1816 2 2 2
ta1848 2 2 2
ta1951 2 2 2
ta1987 2 2 2
ta2085 2 2 2
ta2195 2 2 2
ta2261 2 2 2
ta2299 2 2 2
ta2421 2 2 2
ta2569 2 2 2
ta2708 2 2 2
ta2752 2 2 2
ta2785 2 2 2
ta2820 2 2 2
ta2851 2 2 2
ta2956 2 2 2
ta2997 2 2 2
ta3084 2 2 2
ta3197 2 2 2
ta7135 2 2 2
ta7171 2 2 2
ta7256 2 2 2
ta7277 2 2 2
ta7315 2 2 2
ta7355 2 2 2

~~~~~~~~~~~~~~
Subj vs Group:

Eugly Saline
ta0042 6 0
ta0062 6 0
ta0098 6 0
ta0122 6 0
ta0130 6 0
ta0153 6 0
ta0185 6 0
ta0698 6 0
ta0729 6 0
ta1816 6 0
ta1848 6 0
ta1951 6 0
ta1987 6 0
ta2085 6 0
ta2195 6 0
ta2261 6 0
ta2299 6 0
ta2421 6 0
ta2569 0 6
ta2708 0 6
ta2752 0 6
ta2785 0 6
ta2820 0 6
ta2851 0 6
ta2956 0 6
ta2997 0 6
ta3084 0 6
ta3197 0 6
ta7135 0 6
ta7171 0 6
ta7256 0 6
ta7277 0 6
ta7315 0 6
ta7355 0 6
***** End of data structure information *****
++++++++++++++++++++++++++++++++++++++++++++++++++++

Reading input files now...

Beta ~ Wanting * Hunger + Session * Task * Group
[1] "Great, test run passed at voxel (20, 36, 30)!"
[1] "Start to compute 61 slices along Z axis. You can monitor the progress"
[1] "and estimate the total run time as shown below."
[1] "04/02/15 15:19:07.378"
Z slice 1 done: 04/02/15 15:19:10.597
Z slice 2 done: 04/02/15 15:19:11.009
Z slice 3 done: 04/02/15 15:19:11.394 .........
Subject Author Posted

3dLME contrasts

cherlac March 31, 2015 12:52PM

Re: 3dLME contrasts

Colm Connolly March 31, 2015 04:30PM

Re: 3dLME contrasts

gang March 31, 2015 05:35PM

Re: 3dLME contrasts

cherlac April 02, 2015 02:24PM

Re: 3dLME contrasts

gang April 02, 2015 02:57PM

Re: 3dLME contrasts

cherlac April 02, 2015 03:19PM

Re: 3dLME contrasts

gang April 02, 2015 04:08PM

Re: 3dLME contrasts

cherlac April 02, 2015 04:42PM

Re: 3dLME contrasts

gang April 02, 2015 06:19PM

Re: 3dLME contrasts

cherlac April 07, 2015 10:50AM