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SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

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248 COMPUTE<br />

IDF.LAPLACE(p,a,b) Return value q such that CDF.LAPLACE(q,a,b)=p (00).<br />

IDF.NORMAL(p,a,b) Return value q such that CDF.NORMAL(q,a,b)=p (00).<br />

IDF.SMOD(p,a,b) Return value q such that CDF.SMOD(q,a,b)=p (0≤p0).<br />

PDF.BVNOR(q1,q2,r) Return density of standard bivariate normal with correlation r at (q1, q2) (-<br />

10).<br />

PDF.EXP(q,a) Return density of the exponential distribution at q (q≥0; a>0).<br />

PDF.F(q,a,b) Return density of the F distribution at q (q≥0; a>0; b>0).<br />

PDF.GAMMA(q,a,b) Return density of the gamma distribution at q (q≥0; a>0; b>0).<br />

PDF.HALFNRM(q,a,b) Return density of the half normal distribution at q (q≥a; b>0).<br />

PDF.IGAUSS(q,a,b) Return density of the inverse Gaussian distribution at q (q≥0; a>0; b>0).<br />

PDF.LAPLACE(q,a,b) Return density of the Laplace distribution at q (q≥0; b>0).<br />

PDF.LNORMAL(q,a,b) Return density of the lognormal distribution at q (q≥0; a>0; b>0).<br />

PDF.LOGISTIC(q,a,b) Return density of the logistic distribution at q (b>0).<br />

PDF.NORMAL(q,a,b) Return density of the normal distribution at q (b>0).<br />

PDF.PARETO(q,a,b) Return density of the Pareto distribution at q (q≥a>0; b>0).<br />

PDF.T(q,a) Return density of the Student t distribution at q (a>0).<br />

PDF.UNIFORM(q,a,b) Return density of the uniform distribution at q (a≤q≤b).<br />

PDF.WEIBULL(q,a,b) Return density of the Weibull distribution at q (q≥0; a>0; b>0).<br />

Random variable functions (continuous distributions):<br />

RV.BETA(a,b) Generate a random variable of the beta distribution (a>0; b>0).<br />

RV.CAUCHY(a,b) Generate a random variable of the Cauchy distribution (b>0).<br />

RV.CHISQ(a) Generate a random variable of the chi-square distribution (a>0).<br />

RV.EXP(a) Generate a random variable of the exponential distribution (a>0).<br />

RV.F(a,b) Generate a random variable of the F distribution (a>0; b>0).<br />

RV.GAMMA(a,b) Generate a random variable of the gamma distribution (a>0; b>0).

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