Functions and CALL Routines

SDF Function

Returns a survival function.

Category:	Probability
See:	CDF Function

Syntax
Arguments
Examples
See Also

Syntax

SDF(dist, quantile, parm-1,...,parm-k)

Arguments

dist

is a character string 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. [cautionend]

quantile

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 SDF function computes the survival function (upper tail) from various continuous and discrete distributions. For more information, see the Details.

Examples

SAS Statements	Results
y=sdf('BERN',0,.25);	0.25
y=sdf('BETA',0.2,3,4);	0.09011
y=sdf('BINOM',4,.5,10);	0.62305
y=sdf('CAUCHY',2);	0.14758
y=sdf('CHISQ',11.264,11);	0.42142
y=sdf('EXPO',1);	0.36788
y=sdf('F',3.32,2,3);	0.17361
y=sdf('GAMMA',1,3);	0.91970
y=sdf('HYPER',2,200,50,10);	0.47633
y=sdf('LAPLACE',1);	0.18394
y=sdf('LOGISTIC',1);	0.26894
y=sdf('LOGNORMAL',1);	0.5
y=sdf('NEGB',1,.5,2);	0.5
y=sdf('NORMAL',1.96);	0.025
y=pdf('NORMALMIX',2.3,3,.33,.33,.34, .5,1.5,2.5,.79,1.6,4.3);	0.2819
y=sdf('PARETO',1,1);	1
y=sdf('POISSON',2,1);	0.08030
y=sdf('T',.9,5);	0.20469
y=sdf('UNIFORM',0.25);	0.75
y=sdf('WALD',1,2);	0.37230
y=sdf('WEIBULL',1,2);	0.36788