step_spline_n: step_spline_n

In jkennel/hydrorecipes: Hydrogeology steps

step_spline_n

Description

generates basis splines.

Usage

step_spline_n(
  .rec,
  terms,
  df = 0L,
  internal_knots = NULL,
  boundary_knots = NULL,
  intercept = FALSE,
  periodic = FALSE,
  degree = 3L,
  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.
df	Degree of freedom that equals to the column number of returned matrix. One can specify df rather than knots, then the function chooses df - 1 - as.integer(intercept) internal knots at suitable quantiles of x ignoring missing values and those x outside of the boundary. Thus, df must be greater than or equal to 2. If internal knots are specified via knots, the specified df will be ignored.
internal_knots	equivalent to knots from 'splines2::bSplines'
boundary_knots	equivalent to Boundary.knots from 'splines2::bSplines'
intercept	If TRUE, the complete basis matrix will be returned. Otherwise, the first basis will be excluded from the output.
role	character - the name of the role
...	Optional arguments that are not used.

Value

an updated recipe

Examples

formula <- as.formula(x~y+z)
rows <- 1e5

dat <- data.frame(x = rnorm(rows),
                  y = 1:rows,
                  z = cumsum(rnorm(rows)))
ik <- collapse::fquantile(dat$x, probs = seq(0, 1, 0.1))
bk <- ik[c(1, length(ik))]
ik <- ik[-c(1, length(ik))]

frec = recipe(formula = formula, data = dat) |>
  step_spline_n(x, df = 11L, intercept = FALSE)  |>
 plate("tbl")

jkennel/hydrorecipes documentation built on Dec. 24, 2024, 5:38 p.m.