search for: knnimpute

Hi all, I'm trying to use kNNimpute in the imputation package to fill in missing precipitation data for a data frame I have. Example is: okee: Date rainfall 1997-05-01 0 1997-05-02 0 1997-05-03 NA 1997-05-04 0 1997-05-05...

Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analysis. But I have not found a way to get the a completed data set like this in R or SAS. With

Art (and group), I'm doing this as a form of missing value analysis. Approximately 30% of the cases are missing data for one variable. To impute values for those cases, I'd like to match those cases that are missing the variable to all other cases and then take an average of those to infill. I realize there are many methods for imputing data. I'm not well versed on any in