Description Usage Arguments Value Examples
View source: R/factor_to_df_logical.r
Convert a single factor into a data.frame with multiple true or false fields, one for each factor. The 'vtreat' package may be a better choice for more comprehensive data preparation.
1 2 3 4 5 | factor_to_df(fctr, prefix = deparse(substitute(fctr)), sep = "",
drop_empty = TRUE, na_as_col = TRUE, verbose = FALSE)
factorToDataframeLogical(fctr, prefix = deparse(substitute(fctr)),
sep = "", drop_empty = TRUE, na_as_col = TRUE, verbose = FALSE)
|
fctr |
factor |
prefix |
defaults to "f" to pre-pend the factor level when constructing the data frame columns names |
sep |
scalar character, introduced between factor names and levels when forming new data frame column names |
drop_empty |
logical, if 'TRUE' (the default) factor levels with no associated values are dropped. |
na_as_col |
logical scalar: if NA data and/or NA levels, then covert to NA strings and expand these as for any other factor |
verbose |
single logical value, if |
data.frame with columns of logicals
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | n <- 10
m <- 20
l <- LETTERS[seq_len(n)]
set.seed(1441)
f <- factor(sample(l, m, replace = TRUE), levels = l)
g <- factor_to_df(f, drop_empty = FALSE)
print(g)
stopifnot(nrow(g) == m, ncol(g) == n)
factor_to_df(
shuffle(factor(shuffle(LETTERS[1:10]))),
prefix = ""
)
factor_to_df(factor(c(NA, 1, 2, 3)))
factor_to_df(factor(c(NA, 1, 2, 3)), na_as_col = FALSE)
|
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