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runner (version 0.3.0)

min_run: Running minimum

Description

min_run calculates running min on given x numeric vector, specified k window size.

Usage

min_run(x, k = integer(1), lag = integer(1), na_rm = TRUE,
  na_pad = FALSE, idx = integer(0))

Arguments

x

Vector of any type

k

integer vector or single value denoting size of the running window. If k is a single value then window size is constant for all elements, otherwise if length(k) == length(x) different window size for each element.

lag

integer vector or single value denoting window lag. If lag is a single value then window lag is constant for all elements, otherwise if length(lag) == length(x) different window size for each element. Negative value shifts window forward.

na_rm

logical single value (default na_rm = TRUE) - if TRUE sum is calculating excluding NA.

na_pad

logical single value (default na_pad=FALSE) - if TRUE calculation on incomplete window will return NA. Incomplete window is when some parts of the window are out of range

idx

date or integer an optional integer vector containing index of observation. If specified then k and lag are depending on idx. Length of idx should be equal of length x

Value

min numeric vector of length equals length of x.

Examples

Run this code
# NOT RUN {
set.seed(11)
x1 <- sample(c(1, 2, 3), 15, replace = TRUE)
x2 <- sample(c(NA, 1, 2, 3), 15, replace = TRUE)
k  <- sample(1:4, 15, replace = TRUE)
min_run(x1)
min_run(x2, na_rm = TRUE)
min_run(x2, na_rm = TRUE, k = 4)
min_run(x2, na_rm = FALSE, k = k)
# }

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