uniqueValues: Unique values per variable

In AnguloB/SubscaleExplorer: Psychometric scale explorer and management

Unique values per variable

Description

Unique values (with or without missings) per variable from a dataframe or matrix

Usage

uniqueValues(df)

Arguments

df	dataframe or matrix
group	vector same length to df

Value

table

Variable names in first column (variable), counts of unique values without considering missings in second column (uniqueValid). Unique values + missing in third column (unique). For instance, if there are 4 endorsed values in a variable uniqueValid=4. If there are missing data unique=5.

Author(s)

Ariadna Angulo-Brunet ([e-mail]), Carme Viladrich

Examples

#generate some random data
x<-1:5
y<-1:2
v1<-sample(x,80,replace=TRUE)
v2<-sample(x,80,replace=TRUE)
v3<-sample(x,80,replace=TRUE)
v4<-sample(x,80,replace=TRUE)
df <- data.frame(v1, v2,v3,v4)
gender<- sample(y, 80, replace=TRUE)

uniqueValues(df)
#by group 

uniqueValues(df, group=gender)

AnguloB/SubscaleExplorer documentation built on Feb. 23, 2025, 1:05 a.m.