summary.std_selected {stdmod}

Summary Method for a 'std_selected' Class Object

Description

Summarize the results of std_selected() or std_selected_boot().

Usage

## S3 method for class 'std_selected'
summary(object, ...)

Arguments

object

The output of std_selected() or std_selected_boot().

...

Additional arguments. Ignored by this function.

Value

An object of class summary.std_selected, with bootstrap confidence intervals added if present in the object. The object is a list. Its main element coefficients is similar to the coefficient table in the summary() printout of lm(). This object is for printing summary information of the results from std_selected() or std_selected_boot().

Author(s)

Shu Fai Cheung https://orcid.org/0000-0002-9871-9448

Examples

# Load a sample data set

dat <- test_x_1_w_1_v_1_cat1_n_500

# Do a moderated regression by lm
lm_raw <- lm(dv ~ iv*mod + v1 + cat1, dat)
summary(lm_raw)

# Standardize all variables except for categorical variables.
# Interaction terms are formed after standardization.
lm_std <- std_selected(lm_raw, to_scale = ~ .,
                               to_center = ~ .)
summary(lm_std)

# With bootstrapping
# nboot = 100 just for illustration. nboot >= 2000 should be used in read
# research.
lm_std_boot <- std_selected_boot(lm_raw, to_scale = ~ .,
                                         to_center = ~ .,
                                         nboot = 100)
summary(lm_std_boot)