View source: R/blindDataAnova_ScramblePredictors.R
Suitable for ANOVA: The function "blindDataAnova_ScramblePredictors" re-labels at random the grouping variables and then restores the original ordering by label name. Keep in mind that the factor labels (e.g., low/high) still remain, so the blinded dataset can still be traced back to the original variable (e.g., low/high is for expert variable, and conflict/no conflict is for conflict variable). Consider blindDataAnova_MaskGroups in combination with this method to prevent this.
1 2 3 4 5 6 | blindDataAnova_ScramblePredictors(
df_original,
y,
predictors,
update_labels = TRUE
)
|
df_original |
# original dataframe |
y |
# name of dependent variable |
predictors |
# name of predictors, for example c("expert", "conflict) |
update_labels |
# if TRUE update labels to BLIND_[abbrevation]_[name] |
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