petersenlab (version 1.1.0)

meanSum: Mean Sum.

Description

Compute a missingness-adjusted row sum.

Usage

meanSum(x)

Value

Missingness-adjusted row sum.

Arguments

x

Matrix or dataframe with participants in the rows and items in the columns.

Details

Take row mean across columns (items) and then multiply by number of items to account for missing (NA) values.

See Also

Other computations: Mode(), kish_ess(), mySum()

Examples

# Prepare Data
df <- data.frame(item1 = rnorm(1000), item2 = rnorm(1000), item3 = rnorm(1000))

# Calculate Missingness-Adjusted Row Sum
df$missingnessAdjustedSum <- meanSum(df)