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NaN Toolbox >> NaN Toolbox > Descriptive Statistics > nan_hist2res

nan_hist2res

Evaluates Histogram data

Calling Sequence

[R]=nan_hist2res(H)
[y]=nan_hist2res(H,fun)

Parameters

R:

Histogram data

y:

estimated statistics dependend on fun

fun:

'mean':

mean

'std':

standard deviation

'var':

variance

'sem':

standard error of the mean

'rms':

root mean square

'meansq':

mean of squares

'sum':

sum

'sumsq':

sum of squares

'CM#':

central moment of order #

'skewness':

skewness

'kurtosis':

excess coefficient (Fisher kurtosis)

Description

Evaluates Histogram data: [R]=nan_hist2res(H)

estimates only a special statistic: [y]=nan_hist2res(H,fun)

Examples

x= [ 9 9 9 9 2 2 3 3 4 5 9 ]';
R=nan_histo2(x);
H=nan_hist2res(R);

Bibliography

[1] C.L. Nikias and A.P. Petropulu "Higher-Order Spectra Analysis" Prentice Hall, 1993.

[2] C.E. Shannon and W. Weaver "The mathematical theory of communication" University of Illinois Press, Urbana 1949 (reprint 1963).

[3] http://www.itl.nist.gov/

[4] http://mathworld.wolfram.com/

See also

Authors

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