split_labels | R Documentation |
split_labels
/split_columns
are auxiliary functions for
post-processing tables resulted from cro/cro_fun and etc. In
these tables all labels collapsed in the first column with "|" separator.
split_columns
split first column into multiple columns with separator
(split
argument). split_table_to_df
split first column of table
and column names. Result of this operation is data.frame with character
columns.
split_labels(
x,
remove_repeated = TRUE,
split = "\\|",
fixed = FALSE,
perl = FALSE
)
split_columns(
data,
columns = 1,
remove_repeated = TRUE,
split = "\\|",
fixed = FALSE,
perl = FALSE
)
split_table_to_df(
data,
digits = get_expss_digits(),
remove_repeated = TRUE,
split = "\\|",
fixed = FALSE,
perl = FALSE
)
make_subheadings(data, number_of_columns = 1)
x |
character vector which will be split |
remove_repeated |
logical. Default is |
split |
character vector (or object which can be coerced to such)
containing regular expression(s) (unless |
fixed |
logical. If TRUE match split exactly, otherwise use regular
expressions. Has priority over |
perl |
logical. Should Perl-compatible regexps be used? |
data |
data.frame vector which will be split |
columns |
character/numeric/logical columns in the data.frame
|
digits |
numeric. How many digits after decimal point should be left in
|
number_of_columns |
integer. Number of columns from row labels which will be used as subheadings in table. |
split_labels
returns character matrix, split_columns
returns
data.frame with columns replaced by possibly multiple columns with split
labels. split_table_to_df
returns data.frame with character columns.
strsplit
data.table::setDTthreads(2)
data(mtcars)
# apply labels
mtcars = apply_labels(mtcars,
cyl = "Number of cylinders",
vs = "Engine",
vs = c("V-engine" = 0,
"Straight engine" = 1),
am = "Transmission",
am = c(automatic = 0,
manual=1),
gear = "Number of forward gears",
carb = "Number of carburetors"
)
# all row labels in the first column
tabl = mtcars %>%
cross_cpct(list(cyl, gear, carb), list(total(), vs, am))
tabl # without subheadings
make_subheadings(tabl) # with subheadings
split_labels(tabl[[1]])
split_labels(colnames(tabl))
# replace first column with new columns
split_columns(tabl) # remove repeated
split_columns(tabl, remove_repeated = FALSE)
split_columns(tabl)
split_table_to_df(tabl)
split_table_to_df(tabl)
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