The function `data_clean()` serves the purpose of performing a preliminary check and fix some evident issues. However, the function cannot resolve all data quality-related problems.
Arguments
- rawdata
A data frame.
- levels.tol
Tolerant proportion of the number of levels to the number of observations in a multiclass variable. Default: 0.2
Examples
rawdata <- nhanes3
rawdata[4, 4] <- NaN
rawdata[5, 5] <- Inf
rawdata[6, 6] <- -Inf
cleandata <- data_clean(rawdata = rawdata)
#> Warning: There exists at least one entry coded as NaN in the following numeric variable(s): BMPHEAD.
#> It is now coverted to NA instead.
#> Warning: There exists at least one entry coded as Inf or -Inf in the following variable(s): BMPRECUM;BMPWT.
#> It is now coverted to NA instead.