Here it is. I'm not sure if the attachment will work so I posted the contents of the file below. You'll see that I attempted to run GroupAna a number of times. The first time I wasn't ready to input all my data and was mainly running the program to get an idea of what I needed. In that first attempt the program appeared to be running just fine. The times following that are where the problems occurred. Thank you for your assistance. I really appreciate it!

Laura


Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 1

Label for No. 1 factor: Group
How many levels does factor A (Group) have? 3
Label for No. 1 level of factor A (Group) is: FM
Label for No. 2 level of factor A (Group) is: RA
Label for No. 3 level of factor A (Group) is: CO

Label for No. 2 factor: Condition
How many levels does factor B (Condition) have? 2
Label for No. 1 level of factor B (Condition) is: P
Label for No. 2 level of factor B (Condition) is: NP

Label for No. 3 factor: Subject
How many levels does factor C (Subject) have? 66
Label for No. 1 level of factor C (Subject) is: 001
Label for No. 2 level of factor C (Subject) is: 004
Label for No. 3 level of factor C (Subject) is: 005
Label for No. 4 level of factor C (Subject) is: 007
Label for No. 5 level of factor C (Subject) is: 008
Label for No. 6 level of factor C (Subject) is: 009
Label for No. 7 level of factor C (Subject) is: 012
Label for No. 8 level of factor C (Subject) is: 013
Label for No. 9 level of factor C (Subject) is: exit
Label for No. 10 level of factor C (Subject) is:
Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 1

All input files are supposed to contain only one subbrik.

There should be totally 1 input files.
Correct? (1 - Yes; 0 - No) 0
Error: Check the inconsistency.
Halted: Ctrl+c to exitError in ==> <a href="error:/apps/afni_matlab/GroupAna.m,441,1">GroupAna at 441</a>
while (1); fprintf(2,'Halted: Ctrl+c to exit'); pause; end

path (path, '/apps/linux/matlab71/toolbox/matlab/strfun');
path (path, '/apps/afni_matlab');GroupAna;

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 66

All input files are supposed to contain only one subbrik.

There should be totally 66 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): exit
??? Error using ==> format
Too many output arguments.

Error in ==> <a href="error:/apps/afni_matlab/GroupAna.m,960,1">GroupAna at 960</a>
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

exit

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 66

All input files are supposed to contain only one subbrik.

There should be totally 66 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): unbalanced
??? Error using ==> format
Too many output arguments.

Error in ==> GroupAna at 960
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

path (path, '/apps/linux/matlab71/toolbox/matlab/strfun');
path (path, '/apps/afni_matlab');GroupAna;

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 1

All input files are supposed to contain only one subbrik.

There should be totally 1 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): unbalanced
??? Error using ==> format
Too many output arguments.

Error in ==> GroupAna at 960
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

path (path, '/apps/linux/matlab71/toolbox/matlab/strfun');
path (path, '/apps/afni_matlab');GroupAna;

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 1

All input files are supposed to contain only one subbrik.

There should be totally 1 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): unb
??? Error using ==> format
Too many output arguments.

Error in ==> GroupAna at 960
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

exit

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 12

All input files are supposed to contain only one subbrik.

There should be totally 12 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): 12
??? Error using ==> format
Too many output arguments.

Error in ==> GroupAna at 960
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

exit

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 1

All input files are supposed to contain only one subbrik.

There should be totally 1 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): unbalanced
??? Error using ==> format
Too many output arguments.

Error in ==> GroupAna at 960
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

exit

Welcome to GroupAna, AFNI Group Analysis Package!
-----------------------------------------------------------

Version 1.0.1, Nov. 23, 2005
Author: Gang Chen
SSCC/NIMH/ National Institutes of Health, Bethesda MD 20892
-----------------------------------------------------------

Please read the following carefully about group analysis setup:

1. If the resolution of your EPI data is near n millimeters, during Talairach conversion use
"the command adwarp -dxyz n" to greatly reduce runtime without sacrificing accuracy.

2. We strongly suggest that factor names be labeled with short (2 or 3 capital letters) names
so that subbrik labels can be shown on AFNI viewer.

3. With nesting, arrange your design in such a way that the last factor is nested within the 1st factor.

4. Each input file should include only one subbrik. We suggest files be
named by reflecting the hierarchy of the experiment design.

5. Currently all of the following terms are modeled: main effects and applicable interactions in various orders, .

Groups analysis for volume or surface data (0 - volume; 1 - surface)? 0

How many factors? 3

Availabe design types:

Type 1: Factorial (crossed) design AXBXC - all factors are fixed.

Type 2: Factorial (crossed) design AXBXC - factors A and B are fixed while C is random. If C is subject, it is
usually called 2-way design with A and B varying within subject. Notice: It is inappropriate to
run any constrast tests including mean estimates and differences for factor C with this design type.

Type 3: Mixed design BXC(A) - A and B are fixed while C (usually subject) is random and nested within A.

Type 4: Mixed design BXC(A) - Fixed factor C is nested within fixed factor A while B (usually subject) is random.

Choose design type (1, 2, 3, 4, 5): 5

Is the design balanced? (1 - Yes; 0 - No) 0

The following two kinds of unbalanced designs are currently allowed:

(1) All factors are fixed -
1-way ANOVA; 2-way ANOVA type 1: AXB; and 3-way ANOVA type 1: AXBXC

(2) When a random factor (subject) is nested within another factor A,
each level of factor A contains a unique and unequal number of subjects -
3-way ANOVA type 3: BXC(A); 4-way ANOVA types 3: BXCXD(A);
and 4-way ANOVA type 5: CXD(AXB).

Does your unbalanced design belong to either of the above types? (1 - Yes; 0 - No) 1

Enter the sample size (number of observations) per combination: 1

All input files are supposed to contain only one subbrik.

There should be totally 1 input files.
Correct? (1 - Yes; 0 - No) 1

Output file name (in bucket format): Unbalanced
??? Error using ==> format
Too many output arguments.

Error in ==> <a href="error:/apps/afni_matlab/GroupAna.m,960,1">GroupAna at 960</a>
OutFull = sprintf('%s+%s.HEAD', OutFN, format);

exit