I am using R language for bias correction of data by quantile mapping. I have some missing data. How can I adjust this missing data in R language? what should i write against missing data?
Try replacing missing data by mean values of the array. There are other algorithms like EM to replace missing data. If the number of missing entries are less than 0.1%, then even you can think of omitting them from analysis.
Try replacing missing data by mean values of the array. There are other algorithms like EM to replace missing data. If the number of missing entries are less than 0.1%, then even you can think of omitting them from analysis.