Example for sdc_model() when called in a loop / within *apply()

[matthiasgomolka]

Use Case:
Users run a range of regressions using different dependent variables within a loop across a character vector containing the names of the dependent variables.
In order for sdc_model() to work properly, the model formula must be constructed using as.formula() beforehand in. As this is not straight forward, it should be documented in the FAQs.

library(sdcLog)
mtcars[["model"]] <- rownames(mtcars)

lapply(c("mpg", "hp"), FUN = function(dep_var) {
  fml <- as.formula(paste(dep_var, " ~ cyl"))
  model <- lm(fml, data = mtcars)
  sdc_model(mtcars, model, id_var = "model")
})
#> [[1]]
#> ───────────────────────────────────────────────────────── SDC results (model) ──
#> OPTIONS: sdc.n_ids: 5 | sdc.n_ids_dominance: 2 | sdc.share_dominance: 0.85
#> SETTINGS: id_var: model
#> ✔ Output complies to RDC rules.
#> ────────────────────────────────────────────────────────────────────────────────
#> 
#> [[2]]
#> ───────────────────────────────────────────────────────── SDC results (model) ──
#> OPTIONS: sdc.n_ids: 5 | sdc.n_ids_dominance: 2 | sdc.share_dominance: 0.85
#> SETTINGS: id_var: model
#> ✔ Output complies to RDC rules.
#> ────────────────────────────────────────────────────────────────────────────────

^{Created on 2023-03-02 with reprex v2.0.2}

Session info

sessioninfo::session_info()
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