From ca9f0d0a765257472740753a5455c1cd0c4a72b1 Mon Sep 17 00:00:00 2001 From: smathot Date: Mon, 17 Jun 2024 11:41:36 +0200 Subject: [PATCH] Update readme --- readme-template.md | 2 +- readme.md | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/readme-template.md b/readme-template.md index d2d2be1..cc1b5d0 100644 --- a/readme-template.md +++ b/readme-template.md @@ -3,7 +3,7 @@ *Statistical testing and plotting functions for time-series data in general, and data from cognitive-pupillometry and electroencephalography (EEG) experiments in particular. Based on linear mixed effects modeling (or regular multiple linear regression), crossvalidation, and cluster-based permutation testing.* Sebastiaan Mathôt (@smathot)
-Copyright 2021 - 2023 +Copyright 2021 - 2024 [![Publish to PyPi](https://github.com/smathot/time_series_test/actions/workflows/publish-package.yaml/badge.svg)](https://github.com/smathot/time_series_test/actions/workflows/publish-package.yaml) [![Tests](https://github.com/smathot/time_series_test/actions/workflows/run-unittests.yaml/badge.svg)](https://github.com/smathot/time_series_test/actions/workflows/run-unittests.yaml) diff --git a/readme.md b/readme.md index ab6dca4..384147e 100644 --- a/readme.md +++ b/readme.md @@ -3,7 +3,7 @@ *Statistical testing and plotting functions for time-series data in general, and data from cognitive-pupillometry and electroencephalography (EEG) experiments in particular. Based on linear mixed effects modeling (or regular multiple linear regression), crossvalidation, and cluster-based permutation testing.* Sebastiaan Mathôt (@smathot)
-Copyright 2021 - 2023 +Copyright 2021 - 2024 [![Publish to PyPi](https://github.com/smathot/time_series_test/actions/workflows/publish-package.yaml/badge.svg)](https://github.com/smathot/time_series_test/actions/workflows/publish-package.yaml) [![Tests](https://github.com/smathot/time_series_test/actions/workflows/run-unittests.yaml/badge.svg)](https://github.com/smathot/time_series_test/actions/workflows/run-unittests.yaml) @@ -182,10 +182,10 @@ print(tst.summarize(results)) __Output:__ ``` .text -Intercept was tested at samples {95} → z = -13.1098, p = 2.892e-39 -color_type[T.proto] was tested at samples {160, 170, 175} → z = -2.0949, p = 0.03618 -set_size was tested at samples {185, 210, 195, 255} → z = 16.2437, p = 2.475e-59 -set_size:color_type[T.proto] was tested at samples {165, 175} → z = 2.5767, p = 0.009974 +Intercept was tested at samples {95} → z = -13.1098, p = 2.892e-39, converged = yes +color_type[T.proto] was tested at samples {160, 170, 175} → z = -2.0949, p = 0.03618, converged = yes +set_size was tested at samples {185, 210, 195, 255} → z = 16.2437, p = 2.475e-59, converged = yes +set_size:color_type[T.proto] was tested at samples {165, 175} → z = 2.5767, p = 0.009974, converged = yes ```