summary.regress: Summary method for the regress function

In radiant-rstats/radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Summary method for the regress function

Description

Summary method for the regress function

Usage

## S3 method for class 'regress'
summary(object, sum_check = "", conf_lev = 0.95, test_var = "", dec = 3, ...)

Arguments

object	Return value from regress
sum_check	Optional output. "rsme" to show the root mean squared error and the standard deviation of the residuals. "sumsquares" to show the sum of squares table. "vif" to show multicollinearity diagnostics. "confint" to show coefficient confidence interval estimates.
conf_lev	Confidence level used to estimate confidence intervals (.95 is the default)
test_var	Variables to evaluate in model comparison (i.e., a competing models F-test)
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/regress.html for an example in Radiant

See Also

regress to generate the results

plot.regress to plot results

predict.regress to generate predictions

Examples

result <- regress(diamonds, "price", c("carat", "clarity"))
summary(result, sum_check = c("rmse", "sumsquares", "vif", "confint"), test_var = "clarity")
result <- regress(ideal, "y", c("x1", "x2"))
summary(result, test_var = "x2")
ideal %>%
  regress("y", "x1:x3") %>%
  summary()

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.