14  add_numeric_ from call

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Note

The examples in Chapter 14 require

library(maxEff)

🚧 Chapter 14 is being re-written English-wise. All code are correct here, though. Expected delivery by 2025-12-31.

The internal class 'add_numeric_' defined in package maxEff v0.2.4, GPL-2 inherits from the class 'call' and is assigned with additional attributes

• attr(., 'effsize'), a numeric scalar, regression coefficients, i.e., effect size effsize, of the additional numeric predictor
• attr(., 'model'), the regression model with additional numeric predictor

The S3 method print.default() displays each 'add_numeric_' object.

a0[[1L]]

a0[[2L]]

The S3 method with.hyperframe() (v3.7.3, GPL (>= 2)) obtains the selected numeric predictors by passing the call to parameter ee.

s0 |>
  with(ee = a0[[1L]]) |> # ?spatstat.geom::with.hyperframe
  summary.default()
s1 |>
  with(ee = a0[[1L]]) |> # ?spatstat.geom::with.hyperframe
  summary.default()

s0 |>
  with(ee = a0[[2L]]) |> # ?spatstat.geom::with.hyperframe
  summary.default()
s1 |>
  with(ee = a0[[2L]]) |> # ?spatstat.geom::with.hyperframe
  summary.default()

The S3 method predict.add_numeric_() is the workhorse of the S3 method predict.add_numeric().

a0[[1L]] |> 
  predict(newdata = s1) |>
  identical(y = a1[[1L]]) |>
  stopifnot()

a0[[2L]] |> 
  predict(newdata = s1) |>
  identical(y = a1[[2L]]) |>
  stopifnot()