Repeats the same transformations on a specified set of variables/values
Repeats the same transformations on a specified set of variables/values
do_repeat(data, ...) .do_repeat(...) as_is(...)
data |
data.frame/list. If |
... |
stand-in name(s) followed by equals sign and a vector/list of
replacement variables or values. They can be numeric/characters or
variables names. Names at the top-level can be unquoted (non-standard
evaluation). Quoted characters also considered as variables names. To avoid
this behavior use |
There is a special constant .N which equals to number of
cases in data for usage in expression inside do_repeat. Also
there are a variables .item_num which is equal to the current
iteration number and .item_value which is named list with current
stand-in variables values.
transformed data.frame data
data(iris)
scaled_iris = do_repeat(iris,
i = Sepal.Length %to% Petal.Width,
{
i = scale(i)
})
head(scaled_iris)
# several stand-in names and standard evaluattion
old_names = qc(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width)
new_names = paste0("scaled_", old_names)
scaled_iris = do_repeat(iris,
orig = ((old_names)),
scaled = ((new_names)),
{
scaled = scale(orig)
})
head(scaled_iris)
# numerics
new_df = data.frame(id = 1:20)
# note the automatic creation of the sequence of variables
new_df = do_repeat(new_df,
item = i1 %to% i3,
value = c(1, 2, 3),
{
item = value
})
head(new_df)
# the same result with internal variable '.item_num'
new_df = data.frame(id = 1:20)
new_df = do_repeat(new_df,
item = i1 %to% i3,
{
item = .item_num
})
head(new_df)
# functions
set.seed(123)
new_df = data.frame(id = 1:20)
new_df = do_repeat(new_df,
item = c(i1, i2, i3),
fun = c("rnorm", "runif", "rexp"),
{
item = fun(.N)
})
head(new_df)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.