Filter out non-significant (NS) p-values from a statistical test. Can detect automatically p-value columns
remove_ns(stat.test, col = NULL, signif.cutoff = 0.05)statistical test results returned by rstatix
functions or any data frame containing a p-value column.
(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.
the significance cutoff; default is 0.05. Significance
is declared at p-value <= signif.cutoff
a data frame
# Statistical test
stat.test <- PlantGrowth %>% wilcox_test(weight ~ group)
# Remove ns: automatic detection of p-value columns
stat.test %>% remove_ns()
#> # A tibble: 1 × 9
#> .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
#> <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
#> 1 weight trt1 trt2 10 10 16 0.009 0.027 *
# Remove ns by the column p
stat.test %>% remove_ns(col ="p")
#> # A tibble: 1 × 9
#> .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
#> <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
#> 1 weight trt1 trt2 10 10 16 0.009 0.027 *