step_cross_correlation | R Documentation |
Calculate the autocorrelation function or cross-correlation
step_cross_correlation(.rec, terms, lag_max = 100, role = "predictor", ...)
.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. |
role |
character - the name of the role |
... |
additional arguments |
an updated recipe
formula <- as.formula(y~x)
rows <- 1e4
dat <- data.frame(x = rnorm(rows),
y = as.numeric(1:rows))
frec = recipe(formula = formula, data = dat) |>
step_cross_correlation(x)
frec = recipe(formula = formula, data = dat) |>
step_cross_correlation(c(x, y))
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