impute_NA_covariate: Impute / copy over missing covariate values in a data.frame

In wfforrest/maeve: Modeling Accessories Enabling Visualization of Experiments

Description

Impute / copy over missing covariate values in a data.frame

Usage

impute_NA_covariate(XX, colname_01, colname_02, stop_if_both_missing = TRUE)

Arguments

XX	data.frame with two columns to be copied one from another
colname_01	character name of column with possibly NA values.
colname_02	character name of column with possibly NA values.
stop_if_both_missing	logical whether to stop() if both entries are missing.

Value

An R data.frame with identical columns under colname_01 & colname_02.

Author(s)

Bill Forrest <[e-mail]>

Bill Forrest [e-mail]

References

www.r-project.org

Examples

 test_levels <- c( 'one', 'two', 'three', 'four' )
 DF_with_NA <-
  data.frame( First  = factor( c(    NA, 'two', NA, 'four' ), levels = test_levels ),
              Second = factor( c( NA,  NA, 'three', NA ), levels = test_levels ),
              Third = factor( test_levels, levels = test_levels )
             )
 DF_imputed_12 <- maeve:::impute_NA_covariate( DF_with_NA, 'First', 'Second',
                                               stop_if_both_missing = FALSE )
 DF_imputed_13 <- maeve:::impute_NA_covariate( DF_with_NA, 'First', 'Third'  )

wfforrest/maeve documentation built on Jan. 1, 2021, 12:47 p.m.