# Get The Conditional Indirect Effect for One Row of 'cond_indirect_effects' Output

Source:`R/get_indirect_effect.R`

`get_one_cond_indirect_effect.Rd`

Return the conditional
indirect effect of one row of the
output of `cond_indirect_effects()`

.

## Arguments

- object
The output of

`cond_indirect_effects()`

.- row
The row number of the row to be retrieved.

## Value

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.

[indirect_effect)]: R:indirect_effect)
`cond_indirect()`

: R:cond_indirect()

## Details

It just extracts the
corresponding output of
`cond_indirect()`

from the requested
row.

## 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 default levels
out1 <- cond_indirect_effects(x = "x", y = "m1",
wlevels = c("w1", "w4"), fit = fit)
get_one_cond_indirect_effect(out1, 3)
#>
#> == Conditional Effect ==
#>
#> Path: x -> m1
#> Moderators: w1, w4
#> Conditional Effect: 0.297
#> When: w1 = -0.710, w4 = 1.209
#>
#> Computation Formula:
#> (b.m1~x + (b.x:w1)*(w1))
#> Computation:
#> ((0.46277) + (0.23380)*(-0.71006))
# 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)
#>
#> == Conditional Indirect Effect ==
#>
#> Path: x -> m1 -> m2 -> y
#> Moderators: w1, w4
#> Conditional Indirect Effect: 0.048
#> When: w1 = -0.710, w4 = -0.902
#>
#> Computation Formula:
#> (b.m1~x + (b.x:w1)*(w1))*(b.m2~m1)*(b.y~m2 + (b.m2:w4)*(w4))
#> Computation:
#> ((0.46277) + (0.23380)*(-0.71006))*(0.39883)*((0.42709) + (0.02570)*(-0.90228))
#> Coefficients of Component Paths:
#> Path Conditional Effect Original Coefficient
#> m1~x 0.297 0.463
#> m2~m1 0.399 0.399
#> y~m2 0.404 0.427
#>
```