histogram_multiDim()
Collapses the multi-dimensional data down to one-dimensional data and applies the histogram to the one-dimensional data
Syntax
y = histogram_multiDim(data, normalized, numBins, minBin, maxBin)
Arguments
| Name | Description | Range | Type | Default | Required |
|---|---|---|---|---|---|
| data | the signal | (-∞, ∞) | real | yes | |
| normalized | sets normalization of data † | "no", "yes" | string | no | no |
| numBins | number of subintervals or bins used to measure CDF | [1, ∞) | real | log(numOfPts)/log(2.0) | no |
| minBin | beginning of the evaluation of the CDF | (-∞, ∞) | real | minimum value of the data | no |
| maxBin | end of the evaluation of the CDF | (-∞, ∞) | real | maximum value of the data | no |
| † When normalized is set to "yes", the histogram is generated with percent on the Y-axis instead of the number of outcomes | |||||
Examples
Given monte carlo analysis results for the S 12 . It is two-dimensional data: the outer sweep is mcTrial; the inner sweep is the frequency from 100 MHz to 500 MHz.
Histogram_multiDim_S12 = histogram_multiDim(S12)
Defined in
$HPEESOF_DIR/expressions/ael/statistical_fun.ael
See Also
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