centralImputTrNAs: Handling NAs in train and test
In mrfoliveira/STResampling-JDSA2020: Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting
Description
Usage
Arguments
Value
View source: R/workflow_utils.R
Description
Discard columns/rows with too many NAs and
then impute with central value.
Usage
1
centralImputTrNAs(train, nORp)
Arguments
train
training data set
nORp
minimum percentage of NA values in a row/column for
that row/column to be discarded from training set
Value
list with an entry for the training and test sets
(in this order), both now with no NA values
mrfoliveira/STResampling-JDSA2020 documentation built on June 28, 2021, 7:01 p.m.
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Description Usage Arguments Value
View source: R/workflow_utils.R
Description
Discard columns/rows with too many NAs and then impute with central value.
Usage
1 | centralImputTrNAs(train, nORp)
|
Arguments
train |
training data set |
nORp |
minimum percentage of NA values in a row/column for that row/column to be discarded from training set |
Value
list with an entry for the training and test sets (in this order), both now with no NA values
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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