LTPDA Toolbox™ | contents | ![]() ![]() |
NORMDIST computes the equivalent normal distribution for the data. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: NORMDIST computes the equivalent normal distribution for the data. The mean and standard deviation are computed from the data. The method returns the normal distribution evaluated at the bin centers. CALL: b = normdist(a) b = normdist(a, pl) INPUTS: a - input analysis object(s) pl - a parameter list OUTPUTS: b - xydata type analysis object(s) containing the normal distribution pdf Parameters Description %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Method Details | |
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Access | public |
Defining Class | ao |
Sealed | 0 |
Static | 0 |
Sets for this method … |
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Number Of Bins |
Number Of Bins |
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Key | Default Value | Options | Description |
normdist | |||
N | 10 | none | The number of bins to compute the histogram on. This defines the bin centers for the PDF. |
NORM | 0 |
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Normalized output. If set to true, it will give the normal distrubution PDF. Otherwise, it will give an output comparable to the ao/hist method |
Example |
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plist('N', [10], 'NORM', [false]) |
Some information of the method ao/normdist are listed below: | |
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Class name | ao |
Method name | normdist |
Category | Signal Processing |
Package name | ltpda |
VCS Version | 967b0eec0dece803a81af8ef54ad2f8c784b20b2 |
Min input args | 1 |
Max input args | -1 |
Min output args | 1 |
Max output args | -1 |
Can be used as modifier | 1 |
Supported numeric types | {'double'} |
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Method: ao/noisegen2D | Method: ao/nyquistplot | ![]() |
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