Statistics: cdfplot

### Function Reference: `cdfplot`

statistics: hCDF = cdfplot (x)
statistics: [hCDF, stats] = cdfplot (x)

Display an empirical cumulative distribution function.

`hCDF = cdfplot (x)` plots an empirical cumulative distribution function (CDF) of the observations in the data sample vector x. x may be a row or column vector, and represents a random sample of observations from some underlying distribution.

`cdfplot` plots F(x), the empirical (or sample) CDF versus the observations in x. The empirical CDF, F(x), is defined as follows:

F(x) = (Number of observations <= x) / (Total number of observations)

for all values in the sample vector x. NaNs are ignored. hCDF is the handle of the empirical CDF curve (a handle hraphics ’line’ object).

`[hCDF, stats] = cdfplot (x)` also returns a structure with the following fields as a statistical summary.

| STATS.min | minimum value of x
| STATS.max | maximum value of x
| STATS.mean | sample mean of x
| STATS.median | sample median (50th percentile) of x
| STATS.std | sample standard deviation of x

See also: qqplot, cdfcalc

Source Code: cdfplot

### Example: 1

     x = randn(100,1);
     cdfplot (x);