skew.check: Function for checking how skewed sets are.

In nenaoana/SetMethods: Functions for Set-Theoretic Multi-Method Research and Advanced QCA

Function for checking how skewed sets are.

Description

A function that identifies how skewed sets are by returning the number and percentage of cases with higher than 0.5 fuzzy-set values. The function can also return histograms of the calibrated sets.

Usage

 
skew.check(data, hist =  FALSE, main = NULL)

Arguments

data	A datafarme, a subset of a dataframe, or a vector (i.e. single column in a dataframe). The function should be used for calibrated data and will give an error if the data contains uncalibrated scores. However, if you have both calibrated and uncalibrated data in the same dataframe, it is possible to use the function only for the calibrated subset of that data.
hist	Logical. Should the function also return histograms of the sets?
main	Title for the plot. When provided with a dataframe, the function automatically assigns the column name to the plot.

Author(s)

Ioana-Elena Oana

Examples

# Import your data. For example:

data(SCHF)

# Check skewness for the entire dataframe:

skew.check(SCHF)

# Check skewness for the column "EMP" in the dataframe:

skew.check(SCHF$EMP)

# Check skewness for the 5th column of the dataframe:

skew.check(SCHF[,5])

nenaoana/SetMethods documentation built on April 7, 2023, 2:20 p.m.