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help > RE: Predictor Variable Format
May 17, 2017 11:05 AM | Devon Shook
RE: Predictor Variable Format
Wonderful, thank you for all your help.
I want to run correlation analyses as well, but since I'm missing values for some of the participants I thought I'd run it externally (in R or something). I want to extract the right values from the out_propcalc.mat file so if I load that file and look under:
out.AUC_thrmat_graph_meas
I get the following possible output:
cpl_pos_numvalsAUC: [124x1 double]
cpl_pos: [124x1 double]
cpl_pos_numvalsAUC_nodiscon: [124x1 double]
cpl_pos_nodiscon: [124x1 double]
Which one of those is the right value that would correspond to what was used in my group comparisons (Characteristic Path Length (thresholded matrices, network-wide, negative weights):)? I'm assuming one of the first two since I'm not using the no disconnected AUC calculation?
thanks,
Devon
I want to run correlation analyses as well, but since I'm missing values for some of the participants I thought I'd run it externally (in R or something). I want to extract the right values from the out_propcalc.mat file so if I load that file and look under:
out.AUC_thrmat_graph_meas
I get the following possible output:
cpl_pos_numvalsAUC: [124x1 double]
cpl_pos: [124x1 double]
cpl_pos_numvalsAUC_nodiscon: [124x1 double]
cpl_pos_nodiscon: [124x1 double]
Which one of those is the right value that would correspond to what was used in my group comparisons (Characteristic Path Length (thresholded matrices, network-wide, negative weights):)? I'm assuming one of the first two since I'm not using the no disconnected AUC calculation?
thanks,
Devon
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Title | Author | Date |
---|---|---|
Devon Shook | Apr 11, 2017 | |
Jeffrey Spielberg | Apr 13, 2017 | |
Devon Shook | Apr 18, 2017 | |
Jeffrey Spielberg | Apr 18, 2017 | |
Devon Shook | Apr 28, 2017 | |
Jeffrey Spielberg | May 9, 2017 | |
Devon Shook | May 17, 2017 | |
Jeffrey Spielberg | May 17, 2017 | |