print.cond_effect: Print a 'cond_effect' Class Object
In stdmod: Standardized Moderation Effect and Its Confidence Interval

print.cond_effect

R Documentation

Print a 'cond_effect' Class Object

Description

Print the output of cond_effect() or cond_effect_boot().

Usage

## S3 method for class 'cond_effect'
print(
  x,
  nd = 3,
  nd_stat = 3,
  nd_p = 3,
  title = TRUE,
  model = TRUE,
  level_info = TRUE,
  standardized = TRUE,
  boot_info = TRUE,
  table_only = FALSE,
  t_ci = FALSE,
  t_ci_level = 0.95,
  ...
)

Arguments

`x`	The output of `cond_effect()` or `cond_effect_boot()`.
`nd`	The number of digits for the variables.
`nd_stat`	The number of digits for test statistics (e.g., t).
`nd_p`	The number of digits for p-values.
`title`	If `TRUE`, print a title. Default is `TRUE`.
`model`	If `TRUE`, print the regression model. Default is `TRUE`.
`level_info`	If `TRUE`, print information for interpreting the levels of the moderator, such as the values of the levels and distance from the mean. Default is `TRUE`.
`standardized`	If `TRUE` and one or more variables are standardized, report it. Default is `TRUE`.'
`boot_info`	If `TRUE` and bootstrap estimates are in `x`, print information about the bootstrapping, such as the number of bootstrap samples. Default is `TRUE`.
`table_only`	If `TRUE`, will suppress of other elements except for the table of conditional effects. Override arguments such as `title`, `model`, and `level_info`.
`t_ci`	If `TRUE`, will print the confidence intervals based on t statistics. These confidence intervals should not be used if some variables are standardized.
`t_ci_level`	The level of confidence of the confidence intervals based on t statistics. Default is .95.
`...`	Additional arguments. Ignored by this function.

Value

x is returned invisibility.

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)

cond_effect(lm_raw, x = iv, w = mod)

lm_std <- std_selected(lm_raw, to_scale = ~ iv + mod,
                               to_center = ~ iv + mod)

cond_effect(lm_std, x = iv, w = mod)

stdmod documentation built on Sept. 30, 2024, 9:42 a.m.