Rolling window with overlapping observations:
slide() always returns a list.
slide_lgl(), slide_int(), slide_dbl(), slide_chr() use the same
arguments as slide(), but return vectors of the corresponding type.
slide_dfr() slide_dfc() return data frames using row-binding & column-binding.
slide(.x, .f, ..., .size = 1, .fill = NA, .partial = FALSE)slide_dfr(.x, .f, ..., .size = 1, .fill = NA, .partial = FALSE,
.id = NULL)
slide_dfc(.x, .f, ..., .size = 1, .fill = NA, .partial = FALSE)
An object to slide over.
A function, formula, or atomic vector.
If a function, it is used as is.
If a formula, e.g. ~ .x + 2, it is converted to a function. There
are three ways to refer to the arguments:
For a single argument function, use .
For a two argument function, use .x and .y
For more arguments, use ..1, ..2, ..3 etc
This syntax allows you to create very compact anonymous functions.
If character vector, numeric vector, or list, it
is converted to an extractor function. Character vectors index by name
and numeric vectors index by position; use a list to index by position
and name at different levels. Within a list, wrap strings in get-attr()
to extract named attributes. If a component is not present, the value of
.default will be returned.
Additional arguments passed on to .f.
An integer for window size. If positive, moving forward from left to right; if negative, moving backward (from right to left).
A single value or data frame to replace NA.
if TRUE, partial sliding.
If not NULL a variable with this name will be created
giving either the name or the index of the data frame.
The slide() function attempts to tackle more general problems using
the purrr-like syntax. For some specialist functions like mean and sum,
you may like to check out for
RcppRoll for faster performance.
# NOT RUN {
.x <- 1:5
.lst <- list(x = .x, y = 6:10, z = 11:15)
slide_dbl(.x, mean, .size = 2)
slide_lgl(.x, ~ mean(.) > 2, .size = 2)
slide(.lst, ~ ., .size = 2)
# }
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