View source: R/get_indirect_effect.R
get_one_cond_indirect_effect | R Documentation |
Return the conditional
indirect effect of one row of the
output of cond_indirect_effects()
.
get_one_cond_indirect_effect(object, row)
get_one_cond_effect(object, row)
print_all_cond_indirect_effects(object, ...)
print_all_cond_effects(object, ...)
object |
The output of
|
row |
The row number of the row to be retrieved. |
... |
Optional arguments to be
passed to teh |
get_one_cond_indirect_effect()
extracts the
corresponding output of
cond_indirect()
from the requested
row.
get_one_cond_effect()
is an
alias of get_one_cond_indirect_effect()
.
print_all_cond_indirect_effects()
loops over
the conditional effects and print all
of them.
print_all_cond_effects()
is an
alias of print_all_cond_indirect_effects()
.
get_one_cond_indirect_effect()
returns an indirect
-class object,
similar to the output of
indirect_effect()
and
cond_indirect()
. See
indirect_effect()
and
cond_indirect()
for details on
these classes.
print_all_cond_indirect_effects()
returns the object invisibly. Called
for its side effect.
cond_indirect_effects
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 default levels
out1 <- cond_indirect_effects(x = "x", y = "m1",
wlevels = c("w1", "w4"), fit = fit)
get_one_cond_indirect_effect(out1, 3)
# 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)
get_one_cond_indirect_effect(out2, 4)
print_all_cond_indirect_effects(out2, digits = 2)
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