Interactive Regression Weight Interpretations (Webexercise)

Description

Creates a tinytable showing regression weight interpretation for each predictor, either filled (answer key with red HTML) or blank. Requires tinytable.

Usage

create_regression_weight_interpretations(
  reg_results_list,
  interpretations = NULL,
  KEY = TRUE
)

Arguments

reg_results_list	Output from linear_reg_answers().
interpretations	Named list or NULL. Custom interpretations.
KEY	Logical. If TRUE (default), show filled. If FALSE, blank.

Value

A tinytable object.

Examples

library("psych350lab")

data(superman, package = "psych350data")
sm <- superman[!is.na(superman$rt_critics_score) &
                    !is.na(superman$rt_audience_score), ]
result <- linear_reg_answers(
  data = sm,
  criterion = "rt_critics_score",
  quant_predictors = c("clark_height_in", "rt_audience_score"),
  quant_labels = c("Height", "Audience"),
  criterion_label = "Critics Score"
)
create_regression_weight_interpretations(result, KEY = TRUE)