encodedata {NeuralEstimators} | R Documentation |
encodedata
Description
For data Z
with missing (NA
) entries, computes an augmented data set (U, W) where W encodes the missingness pattern as an indicator vector and U is the original data Z with missing entries replaced by a fixed constant c
.
Usage
encodedata(Z, c = 0)
Arguments
Z |
data containing |
c |
fixed constant with which to replace |
Value
Augmented data set (U, W). If Z
is provided as a list, the return type will be a JuliaProxy
object; these objects can be indexed in the usual manner using [[
, or converted to an R object using juliaGet()
(note however that juliaGet()
can be slow for large data sets).
See Also
the Julia version of encodedata()
Examples
## Not run:
library("NeuralEstimators")
Z <- matrix(c(1, 2, NA, NA, 5, 6, 7, NA, 9), nrow = 3)
encodedata(Z)
encodedata(list(Z, Z))
## End(Not run)
[Package NeuralEstimators version 0.2.0 Index]