outlier.outline: Outlier Outline

In sametsoekel/plasteR: A package to deal with missing & noisy data and outliers.

Description

This function allows you a report about structural information, mainly outliers, and normal distribution checks of your data.

Usage

outlier.outline(
  data,
  plot_show = TRUE,
  type = "den",
  get_skew = TRUE,
  get_normality = TRUE,
  normality_as = "log",
  return_clean_data = TRUE
)

Arguments

data	Dataset, matrix or dataframe.
plot_show	Logical argument for plotting.
type	Logical argument for plot type for each numeric variable. boxplot ("box"), density ("den").
get_skew	if TRUE prints each skewness coefficient for each variable on the plot
get_normality	if TRUE prints results of Shapiro-Wilk normality test for each variable on the plot
normality_as	Default "log", return type of normality information. p value ("pval"), logical ("log"), no info ("NULL")
return_clean_data	if TRUE the object of outlier.outline function includes a dataframe without multivariate outliers (via robust principal component analysis)

Examples

outlier.outline(Hitters,plot_show = TRUE,type="box",get_skew = TRUE,get_normality = FALSE,
return_clean_data = TRUE)

sametsoekel/plasteR documentation built on Sept. 16, 2020, 10:56 p.m.