Quantiles | JMP 13.2

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Basic Analysis • Distributions • Statistical Details for the Distribution Platform • Quantiles

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This section describes how quantiles are computed.

To compute the pth quantile of n non-missing values in a column, arrange the n values in ascending order and call these column values y1, y2, ..., yn. Compute the rank number for the pth quantile as p / 100(n + 1).

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If the result is an integer, the pth quantile is that rank’s corresponding value.

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If the result is not an integer, the pth quantile is found by interpolation. The pth quantile, denoted qp, is computed as follows:

where:

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n is the number of non-missing values for a variable

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y1, y2, ..., yn represents the ordered values of the variable

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yn+1 is taken to be yn

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i is the integer part and f is the fractional part of (n+1)p.

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(n + 1)p = i + f

For example, suppose a data table has 15 rows and you want to find the 75th and 90th quantile values of a continuous column. After the column is arranged in ascending order, the ranks that contain these quantiles are computed as follows:

and

The value y12 is the 75th quantile. The 90th quantile is interpolated by computing a weighted average of the 14th and 15th ranked values as y90 = 0.6y14 + 0.4y15.

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Help created on 9/19/2017