We can subset samples by indexing into a mediation dataset. It will subsample all fields – pretreatments, treatments, mediators, and outcomes. Note that there is no way to subset columns in this way, since they would be different across each source.
Arguments
- x
An object of class
mediation_data
whose samples we want to subset.- i
An integer or integer/logical vector specifying the samples to subset to.
- j
A placeholder to argree with R's
[
function. Never used.- ...
A placeholder to agree with R's
[
function. Never used.- drop
A placeholder to agree with R's
[
function. Never used.
Value
A version of the input mediation_data object whose @mediators,
@outcomes, @treatments, and @pretreatments rows have all been subsetted
according to i
.
Examples
exper <- demo_joy() |>
mediation_data("PHQ", "treatment", starts_with("ASV"))
exper[1]
#> [Mediation Data]
#> 1 samples with measurements for,
#> 1 treatment: treatment
#> 5 mediators: ASV1, ASV2, ...
#> 1 outcome: PHQ
exper[1:10]
#> [Mediation Data]
#> 10 samples with measurements for,
#> 1 treatment: treatment
#> 5 mediators: ASV1, ASV2, ...
#> 1 outcome: PHQ