Martin Spacek fd9ef83f69 Clarify R/README.md a little 2 年之前
..
README.md fd9ef83f69 Clarify R/README.md a little 2 年之前
figure_1.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_1_S2.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_1_S3.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_1_S4.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_1_S5.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_1_S6.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_2.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_3.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_3_S1.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_4.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_4_S1.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_5.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_5_S1.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_5_S2.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_6.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
figure_6_S1.Rmd 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前
get_data.R 50117c3582 Copy new R folder from main natfeedback_code repo 2 年之前

README.md

The R markdown files (.Rmd) contain code for all statistical analyses in R, separately for each figure in the manuscript. The output created by fitting linear mixed-effects models is saved in the corresponding .pdf files in the parent folder's stats folder.

For easy programmatic access when plotting in Python, coefficients of the linear models are also saved in .csv files in the parent folder's stats folder.

The data exported from Python for use as input to the R analyses are stored in .csv files in the parent folder's csv folder. The .csv input files are parsed by a helper function, get_data.R, which creates unique IDs for mice, series, experiments, and neurons, required to fit the models.