Description Usage Arguments Value Examples
This function returns a vector with the two parameters requiered by the biokNN method where the first value is the weighting parameter and the second the number of neighbors
1 2 3 4 5 6 7 8 9 10 |
data |
A dataframe with missing values |
className |
name of the variable that contains the classes |
prop_valid |
proportion of missing values |
nIter |
number of iterations, default = 10 |
distance |
distance function used to get the k-nearest neighbors |
weight_space |
vector with the calibration values to test for the weight parameter |
k_space |
vector with the calibration values to test for the number of neighbors |
print |
option to print the RMSE values of the parameters used for calibration (print = TRUE). |
A dataframe with the imputed data
1 2 3 4 5 6 7 | data(data.example)
calibrate(data.example,
"class",
prop_valid = 0.3,
weight_space = c(0.5, 0.7, 0.9),
k_space = c(10, 15),
print = TRUE)
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