sjmisc (version 1.0.3)

add_labels: Set back value and variable labels to subsetted data frames

Description

Subsetting-functions usually drop value and variable labels from subsetted data frames (if the original data frame has value and variable label attributes). This function adds back these value and variable labels to subsetted data frames that have been subsetted with subset, select or filter. In case df_origin is NULL, all possible label attributes from df_new are removed.

Usage

add_labels(df_new, df_origin = NULL)

Arguments

df_new

the new, subsetted data frame.

df_origin

the original data frame where the subset (df_new) stems from; use NULL, if value and variable labels from df_new should be removed.

Value

• Returns df_new with either removed value and variable label attributes (if df_origin was NULL) or with added value and variable label attributes (if df_origin was the original subsetted data frame).

See Also

http://www.strengejacke.de/sjPlot/labelleddata/{sjPlot-manual} on working with labelled data, and remove_labels for removing label attributes from data frames.

Examples

data(efc)
efc.sub <- subset(efc, subset = e16sex == 1, select = c(4:8))
str(efc.sub)

efc.sub <- add_labels(efc.sub, efc)
str(efc.sub)

efc.sub <- add_labels(efc.sub)
str(efc.sub)