MISSING_INFO {EFA.dimensions}

Missing value statistics

Description

Frequencies and proportions of missing values

Usage

MISSING_INFO(data, verbose)

Arguments

data

An all-numeric dataframe where the rows are cases & the columns are the variables.

verbose

(optional) Should detailed results be displayed in console? TRUE (default) or FALSE

Details

Provides the number of cases with each of N missing values (NA values), along with the proportions, cumulative proportions, and the cumulative Ns.

Value

A matrix with the following columns:

N_cases

The number of cases

N_missing

The number of missing values

Proportion

The proportion of missing values

Cum_Proportion

The cumulative proportion of missing values

Cum_N

The cumulative number of cases

Author(s)

Brian P. O'Connor

Examples

MISSING_INFO(airquality)

# add NA values to the Rosenberg Self-Esteem scale items, for illustration
data_RSE_missing <- data_RSE
data_RSE_missing[matrix(rbinom(prod(dim(data_RSE_missing)), size=1, prob=.3)==1, 
                 nrow=dim(data_RSE_missing)[1])] <- NA

MISSING_INFO(data_RSE_missing)