remove_NA_data_frame: Removes Rows with Some Missing Entries in a Data Frame

In alexanderrobitzsch/mdmb: Model Based Treatment of Missing Data

Removes Rows with Some Missing Entries in a Data Frame

Description

Removes rows with some missing entries in a data frame for variables appearing in the R formula formula. This operation is also known as listwise deletion.

Usage

remove_NA_data_frame(formula, data, weights=NULL)

Arguments

formula	An R formula
data	Data frame
weights	Optional vector of sample weights

Value

Data frame with some rows removed according to missing data

See Also

stats::model.matrix

Examples

#############################################################################
# EXAMPLE 1: Removing rows in a data frame (listwise deletion)
#############################################################################

data(data.ma01, package="miceadds")
dat <- data.ma01

#*** remove rows with some missings according to a formula
dat1 <- mdmb::remove_NA_data_frame( formula=read ~ migrant + books, data=dat)

#*** remove rows according to two formulas
formula1 <- read ~ migrant + books
formula2 <- paredu ~ migrant + female
# create formula consisting of formula1 and formula2
formula3 <- paste( "~", deparse(formula1[[2]]), "+", deparse(formula1[[3]]),
             " + ", deparse(formula2[[2]]), "+", deparse(formula2[[3]])  )
dat2 <- mdmb::remove_NA_data_frame( formula=as.formula(formula3), data=dat)

dim(dat)
dim(dat1$data)
dim(dat2$data)
  ##  > dim(dat)
  ##  [1] 4073   11
  ##  > dim(dat1$data)
  ##  [1] 3371   11
  ##  > dim(dat2$data)
  ##  [1] 3090   11

alexanderrobitzsch/mdmb documentation built on July 18, 2024, 11:14 p.m.