QUANTILE Function

Arguments

dist

is a character constant, variable, or expression that identifies the distribution. Valid distributions are as follows:

Distribution	Argument
Bernoulli	BERNOULLI
Beta	BETA
Binomial	BINOMIAL
Cauchy	CAUCHY
Chi-Square	CHISQUARE
Exponential	EXPONENTIAL
F	F
Gamma	GAMMA
Geometric	GEOMETRIC
Hypergeometric	HYPERGEOMETRIC
Laplace	LAPLACE
Logistic	LOGISTIC
Lognormal	LOGNORMAL
Negative binomial	NEGBINOMIAL
Normal	NORMAL|GAUSS
Normal mixture	NORMALMIX
Pareto	PARETO
Poisson	POISSON
T	T
Uniform	UNIFORM
Wald (inverse Gaussian)	WALD|IGAUSS
Weibull	WEIBULL

Note:   Except for T, F, and NORMALMIX, you can minimally identify any distribution by its first four characters.  

probability

is a numeric constant, variable, or expression that specifies the value of a random variable.

parm-1,...,parm-k

are optional shape, location, or scale parameters appropriate for the specific distribution.

The QUANTILE function computes the probability from various continuous and discrete distributions. For more information, see the Details.

y=quantile('BERN',.75,.25);

0

y=quantile('BETA',0.1,3,4);

0.2009088789

y=quantile('BINOM',.4,.5,10);

5

y=quantile('CAUCHY',.85);

1.9626105055

y=quantile('CHISQ',.6,11);

11.529833841

y=quantile('EXPO',.6);

0.9162907319

y=quantile('F',.8,2,3);

2.8860266073

y=quantile('GAMMA',.4,3);

2.285076904

y=quantile('HYPER',.5,200,50,10);

2

y=quantile('LAPLACE',.8);

0.9162907319

y=quantile('LOGISTIC',.7);

0.8472978604

y=quantile('LOGNORMAL',.5);

1

y=quantile('NEGB',.5,.5,2);

1

y=quantile('NORMAL',.975);

1.9599639845

y=quantile('PARETO',.01,1);

1.0101010101

y=quantile('POISSON',.9,1);

2

y=quantile('T',.8,5);

0.9195437802

y=quantile('UNIFORM',0.25);

0.25

y=quantile('WALD',.6,2);

0.9526209927

y=quantile('WEIBULL',.6,2);

0.9572307621

Copyright © 2011 by SAS Institute Inc., Cary, NC, USA. All rights reserved.