Uses regexp to remove unnecessary columns from statistics results data frame. Can also rename columns effectively.
Usage
summarize_results(
df,
remove = c("Intercept", "CI95", "Std_error", "t_value", "z_value", "R2"),
rename = NULL,
summary = TRUE,
p_limit = 0.05,
fdr = TRUE
)Arguments
- df
data frame, statistics results
- remove
list, should contain strings that are matching to unwanted columns
- rename
named list, names should contain matches that are replaced with values
- summary
logical, should summary columns be added
- p_limit
numeric, limit for p-values to be counted
- fdr
logical, should summary be done with fdr-fixed values
Examples
data(example_set)
# Simple manipulation to linear model results
lm_results <- perform_lm(drop_qcs(example_set),
formula_char = "Feature ~ Group + Time")
#> INFO [2025-06-23 22:38:31] Starting linear regression.
#> INFO [2025-06-23 22:38:32] Linear regression performed.
lm_results <-summarize_results(lm_results,
rename = c("GroupB" = "GroupB_vs_A", "Time2" = "Time2_vs_1")
)