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Remove one or more descriptive variable name label attributes previously
added to a data.frame using add_name_labs
.
Note: dnl
is a compact alias for drop_name_labs
: they do the same thing,
and the former is easier to type
drop_name_labs(data, vars = NULL)dnl(data, vars = NULL)
The same data.frame you submitted, except that the selected name label attribute meta-data has been removed.
the data.frame with name labels that you wish to drop (and which
were added using add_name_labs
).
the names of the columns/variables (not the name labels) whose name labels you wish to drop. If NULL, all variables' name labels will be dropped.
drop_name_labs
works with add_name_labs
, get_name_labs
and
use_name_labs
to facilitate creation, accessing, substitution, and removal
of variable name labels for variable names. Each variable (column) of a
data.frame can receive one and only one "name label," which typically is a
noun phrase that expounds the meaning or contents of the variable's name
(e.g., "Weight in ounces at birth" might be a viable name label for a column
called "wgt"). drop_name_labs
takes a data.frame and (optionally) a
character vector of variables whose name labels should be discarded: If only
a data.frame is provided, all variable name labels will be dropped. You can
assign new name labels using new calls to add_name_labs
(If you wish to
change some or all name labels, you do not need to call drop_name_labs
: you
can simply pass the new name labels to add_name_labs
, and they will
overwrite the old ones (including any automatically generated provisional
ones), while leaving in place any previously added name labels that you do
not explicitly replace).
# create a data set
df <- mtcars
# variable names and their labels
names_labs_vec <- c(
"mpg" = "Miles/(US) gallon",
"cyl" = "Number of cylinders",
"disp" = "Displacement (cu.in.)",
"hp" = "Gross horsepower",
"drat" = "Rear axle ratio",
"wt" = "Weight (1000 lbs)",
"qsec" = "1/4 mile time",
"vs" = "Engine (0 = V-shaped, 1 = straight)",
"am" = "Transmission (0 = automatic, 1 = manual)",
"gear" = "Number of forward gears",
"carb" = "Number of carburetors"
)
# assign variable labels
df <- add_name_labs(df,
vars = names(names_labs_vec),
labs = names_labs_vec
)
# see what we have
get_name_labs(df)
# drop the name label for var/col "am"
df <- drop_name_labs(df, "am")
# see what this did to the name label for "am"
get_name_labs(df)
# now, drop all of the name labels
df <- drop_name_labs(df)
get_name_labs(df) # they're gone
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