imputeR (version 2.2)

plotIm: Plot function for imputation

Description

this is a plot function for assessing imputation performance given the imputed data and the original true data

Usage

plotIm(imp, mis, true, ...)

Arguments

imp

the imputed data matrix

mis

the missing data matrix

true,

the true data matrix

...

other arguments that can be passed to plot

Value

a plot object that show the imputation performance

Examples

# NOT RUN {
data(parkinson)
# introduce 10% random missing values into the parkinson data
missdata <- SimIm(parkinson, 0.1)

# impute the missing values by LASSO
# }
# NOT RUN {
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)
# }