Introduce some missing values into a data matrix
This function randomly introduce some amount of missing values into a matrix.
SimIm(data, p = 0.1)
data |
a data matrix to simulate |
p |
the percentage of missing values introduced into the data matrix it should be a value between 0 and 1. |
the same size matrix with simulated missing values.
# Create data without missing values as example simdata <- matrix(rnorm(100), 10, 10) # Now let's introduce some missing values into the dataset missingdata <- SimIm(simdata, p = 0.15) # count the number of missing values afterwards sum(is.na(missingdata)) #------------------ # There is no missing values in the original parkinson data data(parkinson) # Let's introduce some missing values into the dataset missdata <- SimIm(parkinson, 0.1) # count the number of missing values afterwards sum(is.na(missdata))
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