# NOT RUN {
# import SPSS data set
# mydat <- read_spss("my_spss_data.sav")
# retrieve variable labels
# mydat.var <- get_label(mydat)
# retrieve value labels
# mydat.val <- get_labels(mydat)
data(efc)
get_labels(efc$e42dep)
# simple barplot
barplot(table(efc$e42dep))
# get value labels to annotate barplot
barplot(table(efc$e42dep),
names.arg = get_labels(efc$e42dep),
main = get_label(efc$e42dep))
# include associated values
get_labels(efc$e42dep, values = "as.name")
# include associated values
get_labels(efc$e42dep, values = "as.prefix")
# get labels from multiple variables
get_labels(list(efc$e42dep, efc$e16sex, efc$e15relat))
# create a dummy factor
f1 <- factor(c("hi", "low", "mid"))
# search for label attributes only
get_labels(f1, attr.only = TRUE)
# search for factor levels as well
get_labels(f1)
# same for character vectors
c1 <- c("higher", "lower", "mid")
# search for label attributes only
get_labels(c1, attr.only = TRUE)
# search for string values as well
get_labels(c1)
# create vector
x <- c(1, 2, 3, 2, 4, NA)
# add less labels than values
x <- set_labels(x, labels = c("yes", "maybe", "no"), force.values = FALSE)
# get labels for labelled values only
get_labels(x)
# get labels for all values
get_labels(x, non.labelled = TRUE)
# get labels, including tagged NA values
library(haven)
x <- labelled(c(1:3, tagged_na("a", "c", "z"), 4:1),
c("Agreement" = 1, "Disagreement" = 4, "First" = tagged_na("c"),
"Refused" = tagged_na("a"), "Not home" = tagged_na("z")))
# get current NA values
x
get_labels(x, values = "n", drop.na = FALSE)
# create vector with unused labels
data(efc)
efc$e42dep <- set_labels(
efc$e42dep,
labels = c("independent" = 1, "dependent" = 4, "not used" = 5)
)
get_labels(efc$e42dep)
get_labels(efc$e42dep, drop.unused = TRUE)
get_labels(efc$e42dep, non.labelled = TRUE, drop.unused = TRUE)
# }
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