The median and percentile functions described in this section operate on
sorted data. For convenience we use **quantiles**, measured on a scale
of 0 to 1, instead of percentiles (which use a scale of 0 to 100).

__Statistics:__double**gsl_stats_median_from_sorted_data***(const double*`sorted_data`[], size_t`stride`, size_t`n`)-
This function returns the median value of
`sorted_data`, a dataset of length`n`with stride`stride`. The elements of the array must be in ascending numerical order. There are no checks to see whether the data are sorted, so the function`gsl_sort`

should always be used first.When the dataset has an odd number of elements the median is the value of element @math{(n-1)/2}. When the dataset has an even number of elements the median is the mean of the two nearest middle values, elements @math{(n-1)/2} and @math{n/2}. Since the algorithm for computing the median involves interpolation this function always returns a floating-point number, even for integer data types.

__Statistics:__double**gsl_stats_quantile_from_sorted_data***(const double*`sorted_data`[], size_t`stride`, size_t`n`, double`f`)-
This function returns a quantile value of
`sorted_data`, a double-precision array of length`n`with stride`stride`. The elements of the array must be in ascending numerical order. The quantile is determined by the`f`, a fraction between 0 and 1. For example, to compute the value of the 75th percentile`f`should have the value 0.75.There are no checks to see whether the data are sorted, so the function

`gsl_sort`

should always be used first.The quantile is found by interpolation, using the formula

where @math{i} is

`floor`

(@math{(n - 1)f}) and @math{\delta} is @math{(n-1)f - i}.Thus the minimum value of the array (

`data[0*stride]`

) is given by`f`equal to zero, the maximum value (`data[(n-1)*stride]`

) is given by`f`equal to one and the median value is given by`f`equal to 0.5. Since the algorithm for computing quantiles involves interpolation this function always returns a floating-point number, even for integer data types.

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