add_lab_atts {labelr}

Add labelr Attributes from a list to a Data Frame

Description

add_lab_atts allows one to apply a list of labelr label attribute meta-data (created by get_all_lab_atts) to a data.frame.

Usage

add_lab_atts(
  data,
  lab.atts.list,
  strip.first = FALSE,
  num.convert = FALSE,
  clean = TRUE
)

Arguments

data

a data.frame object.

lab.atts.list

a list previously created using get_all_lab_atts.

strip.first

FALSE if you do not wish to strip the data.frame of all label attribute information it may already have (this information may still be overwritten, depending on what is in the lab.atts.list list).

num.convert

attempt to convert to numeric any data.frame variables where this can be done without producing new NA values.

clean

after adding label attributes, put them into a neat, logical order and drop any attributes that describe variables (columns) not present in the data.frame to which they have been added.

Details

See get_all_lab_atts.

add_lab_atts allows one to add or restore label attributes from a free- standing list (created by get_all_lab_atts) to a data.frame.

Value

a data.frame object with label attribute information (re-) attached (if it exists in the specified lab.atts.list).

Examples

# make toy demographic (gender, raceth, etc.) data set
set.seed(555)
df <- make_demo_data(n = 1000) # another labelr:: function

# let's add variable VALUE labels for variable "raceth"
df <- add_val_labs(df,
  vars = "raceth", vals = c(1:7),
  labs = c("White", "Black", "Hispanic", "Asian", "AIAN", "Multi", "Other"),
  max.unique.vals = 50
)

get_val_labs(df, "raceth") # it's here

zlab.df <- get_all_lab_atts(df) # back up labelr attributes for df

df <- strip_labs(df) # this removes labs from df

get_val_labs(df, "raceth") # it's gone

check_any_lab_atts(df) # FALSE (means "no labs here")

df <- add_lab_atts(df, zlab.df) # restore them