From f4f5c4b1301bcff942771a0ae445c67118f9e5a6 Mon Sep 17 00:00:00 2001 From: paul Date: Thu, 11 Mar 2021 13:24:11 -0500 Subject: [PATCH] correct rescale_estimated_subject in README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b587580..83dfd43 100755 --- a/README.md +++ b/README.md @@ -69,7 +69,7 @@ Per-subject stat: Panda dataframe `df_sub`: - intra-subject MEAN: MEAN[CSA(sI, rX, :)] --> MEAN_intra(sI, rX): `df_sub['mean']` - intra-subject STD: STD[CSA(sI, rX, :)] --> STD_intra(sI, rX): `df_sub['std']` - intra-subject COV: STD[CSA(sI, rX, :)] / MEAN[CSA(sI, rX, :)] --> COV_intra(sI, rX): `df_sub['cov']` -- rescale_estimated_subject MEAN: MEAN[CSA(sI, rX, :) / CSA(sI, 1, :)] --> MEAN_rescale_estimated_subject(sI, rX): `df_sub['rescale_estimated']` +- rescale_estimated_subject MEAN: MEAN[ CSA(sI, rX, :) ] / MEAN[ CSA(sI, 1, :) ] --> MEAN_rescale_estimated_subject(sI, rX): `df_sub['rescale_estimated']` - intra-subject error MEAN: MEAN[CSA(sI, rX, :)] - (rX^2 * MEAN[CSA(sI, 1, :)]) --> MEAN_error_intra(sI, rX): `df_sub['error']` - intra-subject error in percentage MEAN: [MEAN[CSA(sI, rX, :)] - (rX^2 * MEAN[CSA(sI, 1, :)])] / MEAN[CSA(sI, rX, :)] --> MEAN_error_intra_perc(sI, rX): `df_sub['perc_error']` - intra-subject difference MEAN: [MEAN[CSA(sI, 1, :)] - (rX^2 * MEAN[CSA(sI, rX, :)])] --> MEAN_diff(sI, rX): `df_sub['diff']`