remove_ns: Remove Non-Significant from Statistical Tests

In rstatix: Pipe-Friendly Framework for Basic Statistical Tests

Remove Non-Significant from Statistical Tests

Description

Filter out non-significant (NS) p-values from a statistical test. Can detect automatically p-value columns

Usage

remove_ns(stat.test, col = NULL, signif.cutoff = 0.05)

Arguments

stat.test	statistical test results returned by rstatix functions or any data frame containing a p-value column.
col	(optional) character specifying the column containing the p-value or the significance information, to be used for the filtering step. Possible values include: "p", "p.adj", "p.signif", "p.adj.signif". If missing, the function will automatically look for p.adj.signif, p.adj, p.signif, p in this order.
signif.cutoff	the significance cutoff; default is 0.05. Significance is declared at p-value <= signif.cutoff

Value

a data frame

Examples

# Statistical test
stat.test <- PlantGrowth %>% wilcox_test(weight ~ group)
# Remove ns: automatic detection of p-value columns
stat.test %>% remove_ns()
# Remove ns by the column p
stat.test %>% remove_ns(col ="p")

rstatix documentation built on Feb. 16, 2023, 6:10 p.m.