[R] regression imputation in R

[Chris89]

Hi!

For example if "data" is the complete dataset with both x and y values:

tempdata = data[complete.cases(data[,1:2]),] # Regression data
model = lm(y~x, data = tempdata)               # Linear model

>From this you can calculate the regression value of the missing values.

Hope this helped!
Regards,
Chris




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