RemoveMissing: RemoveMissing

In RProbSup: Calculates Probability of Superiority

Description

Checks for missing data and performs listwise deletion if any is detected.

Usage

RemoveMissing(data)

Arguments

data	For a between subjects design, a matrix of cases (rows) by scores (column 1) and group codes (column 2). For a within subjects design, a matrix of scores with each sample in its own column (matrix).

Value

Data matrix with any missing data removed using listwise deletion of cases.

Author(s)

John Ruscio

References

Ruscio (2008) & Ruscio and Mullen (2012) & Ruscio and Gera (2013)

Examples

x1 <- c(rnorm(25), NA)
x2 <- x1 - rnorm(26, mean = 1)
x3 <- x2 - rnorm(26, mean = 1)
data <- cbind(c(x1, x2, x3), c(rep(1, 26), rep(2, 26), rep(3, 26)))
A(data, 1, 2)

RProbSup documentation built on Jan. 13, 2021, 10:41 p.m.