Inverse Percentiles of a sample.

Calculates the non-exceedance probability (inverse of prctile) for xq values from sample of data x.
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Updated Thu, 11 Sep 2014 17:09:49 +0000

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USAGE
p = INVPRCTILE(x,xq)
p = INVPRCTILE(x,xq,dim)
p = INVPRCTILE(x,xq,dim,plot_pos)

INPUT:
x - Vector or Matrix of sample data
q - Values for non-exceedance probabilities to be computed.
q can be scalar or vector
dim - Dimension for matrix to be worked for non-exceedance probability
plot_pos - plotting positions that determine interpolation method

OUTPUT:
p - Non-exceedance probabilities values for q.

When x is a vector, p is the same size as xq, and p(i) contains the non-exceedance probability for xq(i) value.

When x is a matrix, the i-th row of p contains
the non-exceedance probability for xq(i)-values of each column of x.

For N-D arrays, INVPRCTILE operates along the first non-singleton dimension.

EXAMPLES:
x = rand(100,1);
q = [0.1 0.25 0.8];
p = invprctile(x,q);
% Check with prctile to get back the same results
qvalues = prctile(x,p)

Cite As

Durga Lal Shrestha (2024). Inverse Percentiles of a sample. (https://www.mathworks.com/matlabcentral/fileexchange/41131-inverse-percentiles-of-a-sample), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.2.0.0

1. Fixing behaviour of unique function after MATLAB R2012b

2. Possibility to use different plotting position

1.1.0.0

Bug fixing for not strictly monotonic increasing x values

1.0.0.0