dlookr (version 0.3.9)

find_skewness: Finding skewed variables

Description

Find the numerical variable that skewed variable that inherits the data.frame or data.frame.

Usage

find_skewness(.data, index = TRUE, value = FALSE, thres = NULL)

Arguments

.data

a data.frame or a tbl_df.

index

logical. When representing the information of a skewed variable, specify whether or not the variable is represented by an index. Returns an index if TRUE or a variable names if FALSE.

value

logical. If TRUE, returns the skewness value in the individual variable.

thres

Returns a skewness threshold value that has an absolute skewness greater than thres. The default is NULL to ignore the threshold. but, If value = TRUE, default to 0.5.

Value

Information on variables including skewness.

See Also

find_na, find_outliers.

Examples

# NOT RUN {
# Generate data for the example
carseats <- ISLR::Carseats
carseats[sample(seq(NROW(carseats)), 20), "Income"] <- NA
carseats[sample(seq(NROW(carseats)), 5), "Urban"] <- NA

find_skewness(carseats)

find_skewness(carseats, index = FALSE)

find_skewness(carseats, thres = 0.1)

find_skewness(carseats, value = TRUE)

find_skewness(carseats, value = TRUE, thres = 0.1)

## using dplyr -------------------------------------
library(dplyr)

# Perform simple data quality diagnosis of variables with outliers.
carseats %>%
  select(find_skewness(.)) %>%
  diagnose()
# }