Plot function for imputation
this is a plot function for assessing imputation performance given the imputed data and the original true data
plotIm(imp, mis, true, ...)
imp |
the imputed data matrix |
mis |
the missing data matrix |
true, |
the true data matrix |
... |
other arguments that can be passed to plot |
a plot object that show the imputation performance
data(parkinson) # introduce 10% random missing values into the parkinson data missdata <- SimIm(parkinson, 0.1) # impute the missing values by LASSO impdata <- impute(missdata, lmFun = "lassoR") # calculate the normalised RMSE for the imputation Rmse(impdata$imp, missdata, parkinson, norm = T) # Plot imputation performance plotIm(impdata$imp, missdata, parkinson)
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