Naive imputation for mixed type data
Naive imputation for mixed type data
mixGuess(missdata, method = c("mean", "majority"))missdata |
a data matrix with missing values |
method |
a character vector of length 2 indicating which two methods to use respectively for continuous variables and categorical variables. There are three options for continous variables: "mean", "median" and "random", and two options for categorical varaibles: "majority" and "random". The default method is "mean" for the continous part and "majority" for the categorical part. |
the same size data matrix with no missing value.
data(tic) missdata <- SimIm(tic, 0.1) sum(is.na(missdata)) impdata <- mixGuess(missdata) sum(is.na(impdata))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.