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| #' @title Conditional Effect in a 'cond_effect'-Class Object | ||
| #' | ||
| #' @description Return the estimates of the conditional | ||
| #' effects | ||
| #' in the output of | ||
| #' [cond_effect()] or [cond_effect_boot()]. | ||
| #' | ||
| #' @details It just extracts and returns the column of | ||
| #' conditional effects in a `cond_effect`-class object. | ||
| #' | ||
| #' @return | ||
| #' A numeric vector: The estimates of the conditional | ||
| #' effects in a `cond_effect`-class object. | ||
| #' | ||
| #' @param object The output of [cond_effect()] or [cond_effect_boot()]. | ||
| #' @param ... Optional arguments. Ignored by the function. | ||
| #' | ||
| #' @author 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) | ||
| #' out <- cond_effect(lm_raw, x = iv, w = mod) | ||
| #' out | ||
| #' coef(out) | ||
| #' | ||
| #' lm_std <- std_selected(lm_raw, to_scale = ~ iv + mod, to_center = ~ iv + mod) | ||
| #' out <- cond_effect(lm_std, x = iv, w = mod) | ||
| #' out | ||
| #' coef(out) | ||
| #' | ||
| #' # Categorical moderator | ||
| #' lm_cat <- lm(dv ~ iv*cat1 + v1, dat) | ||
| #' summary(lm_cat) | ||
| #' out <- cond_effect(lm_cat, x = iv, w = cat1) | ||
| #' out | ||
| #' coef(out) | ||
| #' | ||
| #' @export | ||
|
|
||
| coef.cond_effect <- function(object, ...) { | ||
| out <- as.data.frame(object)[, "x's Effect"] | ||
| names(out) <- object$Level | ||
| out | ||
| } |
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