heatmap.compress {heatmapFit} | R Documentation |
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 |
init.grid |
The number of bins on the interval [0, 1] to use for compression of |
Value
A list with the elements:
y.out |
The value of |
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 |
Author(s)
Justin Esarey <justin@justinesarey.com>
[Package heatmapFit version 2.0.4 Index]