ambig.cases: Function for identifying cases with 0.5 fuzzy-set values.

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

Function for identifying cases with 0.5 fuzzy-set values.

Description

A function that identifies cases with 0.5 fuzzy-set values.

Usage

ambig.cases(data)

Arguments

data

A datafarme, a subset of a dataframe, or a vector (i.e. single column in a dataframe). If the function is provided with the dataframe it will return the name of the cases with 0.5 values together with their location in the dataframe. If the function is provided with a vector (i.e. a single column), it will return the position of the case having a 0.5 in that vector. 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.

Author(s)

Ioana-Elena Oana

Examples

# Import your data. For example:

data(SCHF)

# Get cases with 0.5 in the entire dataframe:

ambig.cases(SCHF)

# Get cases with 0.5 in the column "EMP" in the dataframe:

ambig.cases(SCHF$EMP)

# Get cases with 0.5 in the 7th column of the dataframe:

ambig.cases(SCHF[,7])

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