outlier_impact: outlier_impact

In HallLab/clarite: CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures

Description

Create data frame with outliers and summary statistics for each variable

Usage

outlier_impact(df, x = 2.5)

Arguments

df	data frame with ID as first column
x	number of standard deviations away from the mean to qualify as an outlier

Value

data frame consisting of summary statistics for the input dataframe and potential dataframe if outliers were to be removed at that threshold

See Also

Other summary functions: chisq_tests, correlations, freq_tables, get_uniq, sample_size

Other continuous variable functions: box_plot, correlations, hist_fun, multi_plot, qq_fun, qq_plot, remove_outliers

Examples

require(NHANES)
data(NHANES)
outlier_impact(get_continuous(NHANES), x=3)

HallLab/clarite documentation built on Oct. 27, 2020, 6:27 p.m.