Description Usage Arguments Value
Applies principal component analysis to new data to generate predicted flow into Everglades National Park
1 2 | bootstrapPCA(data, probTrain = 0.8, iter = 1000, plot = TRUE,
columnsUsed)
|
data |
input data (will be subsampled to create training and out-of-sample data) |
probTrain |
proportion of sample data to include in training dataset |
iter |
number of iterations |
plot |
logical; whether relationship between preicted and observed flow be displayed on a plot |
columnsUsed |
numeric range specifying columns in "data" to be used for PCA |
a vector of flow estimates
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