From a8075db346ed4d63302228096689adb9a0aa17a9 Mon Sep 17 00:00:00 2001 From: Brian Qiu Date: Sun, 13 Dec 2015 16:46:02 -0800 Subject: [PATCH] functions/README --- code/utils/functions/README.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 code/utils/functions/README.md diff --git a/code/utils/functions/README.md b/code/utils/functions/README.md new file mode 100644 index 0000000..45f839a --- /dev/null +++ b/code/utils/functions/README.md @@ -0,0 +1,28 @@ +##Functions + +- `basic_util.py` contains basic functions to give the mean across voxels of r +aw bold data and create dictionaries mapping txt or bold files to figures + +- `behavtask_tr.py` contains functions to merge behav and task condition files + and return the predicted neural time course + +- `calc_t.py` calculates the t-value of a voxel's beta gain and beta loss + +- `lme_functions.py` calculates beta parameters, p-values, convergence info, a +nd ANOVA tests + +- `logistic_function.py` has functions to give a confusion matrix on the logis +tic regression and to give the ROC curve and AUC score + +- `outlierfunction.py`finds outliers based on DVARS and framewise displacement + +- `pearson.py` is the function to find pearson correlation + +- `regression_functions.py` contains functions to get regressors, calculate th +e betas and MRSS of a linear regression on BOLD as well as delete outliers + +- `smooth_gaussian.py` functions smooth BOLD data + +- `sig_region.py` is the function to find number and mean of significant p-va +lues for given volume of p-values +