Description Usage Arguments Value Examples
multOutcomesLogistic provides results for univariate binary logistic regression models for a single predictor and multiple outcomes.
1 2 | multOutcomesLogistic(data, predictor, outcomes, predictorAsFactor = FALSE,
rowwise = T, dec = 2, pdec = 3, verbose = TRUE)
|
data |
data.frame containing all data for analyses |
predictor |
Variable name for the predictor variable |
outcomes |
Vector of variable names for the outcome variables |
predictorAsFactor |
If TRUE, the predictor variable will be treated as a factor |
rowwise |
If TRUE, row-wise percents are provided in the case of categorical predictors |
dec |
Number of decimals to round descriptive |
pdec |
Number of decimals to round p-vales |
verbose |
Logical: should extra information be printed to the console |
A data.frame R object is returned
1 | #NULL
|
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