subsetting_cond_indirect_effects: Extraction Methods for 'cond_indirect_effects' Outputs

In manymome: Mediation, Moderation and Moderated-Mediation After Model Fitting

Extraction Methods for 'cond_indirect_effects' Outputs

Description

For subsetting a 'cond_indirect_effects'-class object.

Usage

## S3 method for class 'cond_indirect_effects'
x[i, j, drop = if (missing(i)) TRUE else length(j) == 1]

Arguments

x	A 'cond_indirect_effects'-class object.
i	A numeric vector of row number(s), a character vector of row name(s), or a logical vector of row(s) to be selected.
j	A numeric vector of column number(s), a character vector of column name(s), or a logical vector of column(s) to be selected.
drop	Whether dropping a dimension if it only have one row/column.

Details

Customized [ for 'cond_indirect_effects'-class objects, to ensure that these operations work as they would be on a data frame object, while information specific to conditional effects is modified correctly.

Value

A 'cond_indirect_effects'-class object. See cond_indirect_effects() for details on this class.

Examples

library(lavaan)
dat <- modmed_x1m3w4y1
mod <-
"
m1 ~ x  + w1 + x:w1
m2 ~ m1
y  ~ m2 + x + w4 + m2:w4
"
fit <- sem(mod, dat, meanstructure = TRUE, fixed.x = FALSE, se = "none", baseline = FALSE)
est <- parameterEstimates(fit)

# Examples for cond_indirect():

# Conditional effects from x to m1 when w1 is equal to each of the levels
out1 <- cond_indirect_effects(x = "x", y = "m1",
                      wlevels = "w1", fit = fit)
out1[2, ]

# Conditional Indirect effect from x1 through m1 to y,
# when w1 is equal to each of the levels
out2 <- cond_indirect_effects(x = "x", y = "y", m = c("m1", "m2"),
                      wlevels = c("w1", "w4"), fit = fit)
out2[c(1, 3), ]

manymome documentation built on Oct. 4, 2024, 5:10 p.m.