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Create Data Grid for Model Predictions

Source: R/gen_data_predict.R
gen_data_predict.Rd

Create Data Grid for Model Predictions

Usage

gen_data_predict(model, x, m = NULL, covariates = 0)

Arguments

model

A fitted model object (lm, glm, lmer, lmerTest, etc.).

x

Character vector specifying focal predictor(s) (e.g., "yrs.since.phd").

m

Moderator specifications:

  • NULL (default): No moderators.

  • Named list: list(yrs.service = "sd", rank = "real").

  • Special list with "all": list(all = c(continuous = "sd", factor = "real")).

covariates

Value, summary function, or named list of specific values to hold unspecified covariates constant. Default is 0.

Value

A data.frame grid ready for stats::predict().

Examples

fit <- lm(salary ~ yrs.since.phd * yrs.service, data = carData::Salaries)
gen_data_predict(fit, x = "yrs.since.phd", m = list(yrs.service = "sd"))
#>   yrs.service yrs.since.phd
#> 1    4.608586             0
#> 2   17.614610             0
#> 3   30.620633             0
gen_data_predict(fit, x = "yrs.since.phd", m = list(yrs.service = c(10, 20)))
#>   yrs.service yrs.since.phd
#> 1          10             0
#> 2          20             0