out.impute: Outliers imputation
In monobinShiny: Shiny User Interface for 'monobin' Package

Description Usage Arguments Value Examples

Outliers imputation

1	out.impute(tbl, rf, ub, lb, sc)

`tbl`	Data frame with risk factors ready for imputation.
`rf`	Vector of risk factors to be imputed.
`ub`	Upper bound percentiles.
`lb`	Lower bound percentiles.
`sc`	Numeric vector of special case values.

Returns a list of three elements. The first element is a data frame with imputed values, the second element is a vector of newly created risk factors (with imputed values) and the third one is a data frame with information about possible imputation errors.

if 	(interactive()) {
	imp.res <-  suppressWarnings(
			out.impute(tbl = rv$db, 		
				    rf = input$rf.out,
				    ub = upper.pct,
				    lb = lower.pct,
				    sc = sca.check.res[[1]])
			)
	}