Rdocumentation
powered by
Learn R Programming
heatmapFit (version 2.0.4)
heatmap.compress: Collapse a large data set for
heatmap.fit
Description
Reduces the size of large binary data sets by binning them according to their predicted probability [0, 1].
Usage
heatmap.compress(y, pred, init.grid)
Arguments
y
A vector of observations of the dependent variable (in {0,1}).
pred
A vector of predicted Pr(y = 1) corresponding to each element of
y
.
init.grid
The number of bins on the interval [0, 1] to use for compression of
pred
.
Value
A list with the elements:
y.out
The value of
y
, 0 or 1.
pred.out
The (binned) predicted Pr(y = 1) matching each observation.
weight.out
A weight parameter indicating the proportion of observations in the bin; sums to one.
pred.total.out
A vector of unique Pr(y = 1) bin values.
n.out
The number of observations (non-empty bins) after the data are collapsed.
retained.obs
A vector of indices for non-empty candidate bins (for internal use by
heatmap.fit
).