Transduce linear model positions to shapes — transduce.stat

Predict coefficients and shapes at specified predictor values.

Usage

# S3 method for class 'stat_lm'
transduce(object, positions)

Arguments

object: A stat_lm object
positions: A tibble with predictor values. Column names must match the model's predictors.

Value

A tibble with predicted values

Examples

if (FALSE) { # \dontrun{
lm_fit <- boteft %>% stat_lm(coe ~ length)

# Predict at new lengths
new_shapes <- transduce(lm_fit, tibble::tibble(length = seq(50, 150, by = 10)))

# Multiple predictors
lm_fit2 <- boteft %>% stat_lm(coe ~ length + width)
new_shapes <- transduce(lm_fit2,
                        expand_grid(length = c(50, 100, 150),
                                    width = c(20, 30)))
} # }