step_kernel_filter — step_kernel_filter • hydrorecipes

linearly convolve a kernel with a data series.

Usage

step_kernel_filter(
  .rec,
  terms,
  kernel,
  align = "center",
  role = "predictor",
  ...
)

Arguments

.rec: the R6 recipe object.
terms: the unquoted names of the variables to use or a selector function. terms replaces the `...` of the recipes package but requires variables to be included within `c()`. For example to include variables x and y you would write `c(x,y)` in the hydrorecipes package.
kernel: the convolution kernel
align: character center, left or right align the convolution
role: character - the name of the role
...: additional arguments

Value

an updated recipe

Examples


formula <- as.formula(x~y+z)
rows <- 1e4

dat <- data.frame(x = rep(1, rows),
                  y = 1:rows,
                  z = cumsum(rnorm(rows)))

frec = recipe(formula = formula, data = dat) |>
  step_kernel_filter(z, kernel = list(rep(1, 1001)/1001), align = "center") |>
  plate("tbl")