l.naconvert: Convert Missing Data Values to NA

In myles-maillet/long.tools: Functions for Analyzing Longitudinal Data

Description

This function converts a value (e.g., -999) to NA, which is the required for the use of other functions in this package that involve missing data.

Usage

l.naconvert(data, miss_value)

Arguments

data	dataset stored as dataframe
miss_value	current value specifying missing data (e.g., -999, NULL)

Value

returns a dataframe with missing data values converted to NA

Author(s)

Myles A. Maillet, [e-mail]

Examples

new_ds <- l.naconvert(data = ds, miss_value = -999)

myles-maillet/long.tools documentation built on Jan. 3, 2021, 12:37 a.m.