--- name: "PDL::R" section: "3pm" platform: "linux" package: "r-pdl" version: "0.2-2" release: "Debian 2.1 (Slink)" platforms: ["linux"] url: "https://new.carta.tech/PDL::R" --- # PDL::R(3pm) PDL::R - routines from statistics package, R , for PDL ``` use PDL::R; pnorm(.1,0.0,1.0); ``` ``` $a = sequence(10) [0 1 2 3 4 5 6 7 8 9] $a /=10.0 [0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9] pnorm($a,0.0,1.0) [0.5 0.53982784 0.57925971 0.61791142 0.65542174 0.69146246 0.72574688 0.75803635 0.7881446 0.81593987] ``` ``` These are special functions and distributions from the math library of the statistics package, R. Threading is supported, as in the example above in which the normal distribution function with mean 0, and standard deviation 1, is evaluated for ten values. ``` ``` Note that all the functions of the form 'rdist' return random numbers derived from a single random number generator which gives uniform deviates. The generator of uniform deviates can be selected. Currently only one is supplied-- the one from the original R code, sunif. You can select the generator of uniform deviates before generating random numbers from the distributions, like this ``` ``` PDL::set_random_generator( PDL::Ptr_sunif()); ``` ``` The line above is executed upon loading the module, so that sunif is the default generator. You can use this example xsub code to create an interface to another generator of random deviates, and then use it via set_random_generator. ``` ``` void * Ptr_sunif() CODE: RETVAL = &sunif; OUTPUT: RETVAL ``` ``` Details on algorithms can be found in the source files. The functions are described below with their C prototypes. ``` ``` SSppeecciiaall FFuunnccttiioonnss ooff MMaatthheemmaattiiccss ``` ``` double beta(double, double); double lbeta(double, double); double gamma(double); double lgamma(double); double lfastchoose(double, double); double fastchoose(double, double); double choose(double, double); double lchoose(double, double); void dpsifn(double, int, int, int, double*, int*, int*); double digamma(double); double trigamma(double); double tetragamma(double); double pentagamma(double); ``` ``` DDeessccrriippttiioonn:: ``` ``` The functions `beta' and `lbeta' return the beta func- tion and the natural logarithm of the beta function. ``` ``` The functions `gamma' and `lgamma' return the gamma function and the natural logarithm of the gamma func- tion. ``` ``` The functions `digamma', `trigamma', `tetragamma' and `pentagamma' return the first, second, third and fourth derivatives of the logarithm of the gamma function. ``` ``` The functions `choose' and `lchoose' return binomial coefficients and their logarithms. ``` ``` TThhee BBeettaa DDiissttrriibbuuttiioonn ``` ``` double dbeta(double x, double a, double b); double pbeta(double x, double a, double); double pbeta_b(double x, double a, double b, double logbeta); (looks like pbeta_b should be removed) double qbeta(double x, double a, double b); double rbeta(double a, double b); ``` ``` These functions provide information about the Beta dis- tribution with parameters `a' and `b'. `dbeta' gives the density, `pbeta' the distribution function, `qbeta' the quantile function and `rbeta' generates random deviates. ``` ``` The Beta distribution has density ``` ``` Gamma(a+b)/(Gamma(a)Gamma(b))x^(a-1)(1-x)^(b-1) ``` ``` for a > 0, b > 0 and 0 < x < 1. ``` ``` SSeeee AAllssoo:: ``` ``` `beta' for the beta function, and `dgamma' for the Gamma distribution. ``` ``` TThhee BBiinnoommiiaall DDiissttrriibbuuttiioonn ``` ``` double dbinom(double x, double n, double p); double pbinom(double x, double n, double p); double qbinom(double x, double n, double p); double rbinom(double x, double n); ``` ``` These functions provide information about the binomial distribution with parameters `n' and `p'. `dbinom' gives the density, `pbinom' gives the distribution function `qbinom' gives the quantile function and `rbinom' generates random deviates. ``` ``` The binomial distribution has density ``` ``` p(x) = Choose(n,x) p^x (1-p)^(n-x) ``` ``` for x = 0, ..., n. ``` TThhee CCaauucchhyy DDiissttrriibbuuttiioonn ``` double dcauchy(double x, double scale, double location); double pcauchy(double x, double scale, double location); double qcauchy(double x, double scale, double location); double rcauchy(double scale, double location); ``` ``` These functions provide information about the Cauchy distribution with location parameter `location' and scale parameter `scale'. ``` ``` `dcauchy', `pcauchy', and `qcauchy' are respectively the density, distribution function and quantile func- tion of the Cauchy distribution. `rcauchy' generates random deviates from the Cauchy. ``` ``` The Cauchy distribution with location l and scale s has density ``` ``` f(x) = 1 / (pi s (1 + ((x-l)/s)^2)) ``` ``` for all x. ``` ``` SSeeee AAllssoo:: ``` ``` `dt' for the t distribution which generalizes `dcauchy(*, l = 0, s = 1)'. ``` ``` TThhee CChhii--SSqquuaarree DDiissttrriibbuuttiioonn ``` ``` double dchisq(double x, double df); double pchisq(double x, double df); double qchisq(double x, double df); double rchisq(double df); ``` ``` These functions provide information about the chi- square distribution with `df' degrees of freedom. `dchisq' gives the density, `pchisq' gives the distri- bution function `qchisq' gives the quantile function and `rchisq' generates random deviates. ``` ``` The chi-square distribution with `df' = n degrees of freedom has density ``` ``` f(x) = 1 / (2^(n/2) Gamma(n/2)) x^(n/2-1) e^(-x/2) ``` ``` for x > 0. ``` ``` SSeeee AAllssoo:: ``` ``` `dnchisq', `dgamma', `dexp'. ``` ``` TThhee EExxppoonneennttiiaall DDiissttrriibbuuttiioonn ``` ``` double dexp(double x, double rate); double pexp(double x, double rate); double qexp(double x, double rate); double rexp(double rate); ``` ``` These functions provide information about the exponen- tial distribution with rate `rate' (i.e., mean `1/rate'). `dexp' gives the density, `pexp' gives the distribution function, `qexp' gives the quantile func- tion and `rexp' generates random deviates. ``` ``` The exponential distribution with rate lambda has den- sity ``` ``` f(x) = lambda e^(- lambda x) ``` ``` for x >= 0. ``` ``` SSeeee AAllssoo:: ``` ``` `exp', `dchisq' for the chisquare and `dweibull' for the Weibull distribution which both generalize the exponential. ``` ``` TThhee FF DDiissttrriibbuuttiioonn ``` ``` double df(double x, double n1, double n2); double pf(double x, double n1, double n2); double qf(double x, double n1, double n2); double rf(double n1, double); ``` ``` These functions provide information about the F distri- bution with `n1' and `n2' degrees of freedom. `df' gives the density, `pf' gives the distribution function `qf' gives the quantile function and `rf' generates random deviates. ``` ``` The F distribution with n1 and n2 degrees of freedom has density ``` ``` f(x) = Gamma((n1 + n2)/2) / (Gamma(n1/2) Gamma(n2/2)) (n1/n2)^(n1/2) x^(n1/2 - 1) (1 + (n1/n2) x)^-(n1 + n2)/2 ``` ``` for x > 0. ``` ``` SSeeee AAllssoo:: ``` ``` `dt' for Student's t distribution which is (almost) equivalent to `*f(..., n2 = 1)'. ``` ``` TThhee GGaammmmaa DDiissttrriibbuuttiioonn ``` ``` double dgamma(double x, double shape, double scale); double pgamma(double x, double shape, double scale); double qgamma(double x, double shape, double scale); double rgamma(double x, double shape); ``` ``` These functions provide information about the gamma distribution with parameters `shape' and `scale'. `dgamma' gives the density, `pgamma' gives the distri- bution function `qgamma' gives the quantile function and `rgamma' generates random deviates. ``` ``` The gamma distribution with parameters `shape' = a and `scale' = b has density ``` ``` f(x) = 1/(b^a Gamma(a)) x^(a-1) e^-(x/b) ``` ``` for x > 0, a > 0 and b > 0. ``` ``` SSeeee AAllssoo:: ``` ``` `gamma', `dbeta'. ``` ``` TThhee GGeeoommeettrriicc DDiissttrriibbuuttiioonn ``` ``` double dgeom(double x, double p); double pgeom(double x, double p); double qgeom(double x, double p); double rgeom(double p); ``` ``` These functions provide information about the geometric distribution with parameter `p'. `dgeom' gives the density, `pgeom' gives the distribution function, `qgeom' gives the quantile function, and `rgeom' gener- ates random deviates. ``` ``` The geometric distribution has density ``` ``` p(x) = p (1-p)^x ``` ``` for x = 0, 1, 2, ... ``` ``` TThhee HHyyppeerrggeeoommeettrriicc DDiissttrriibbuuttiioonn ``` ``` double dhyper(double x, double N1, double N2, double n); double phyper(double x, double N1, double N2, double n); double qhyper(double x, double N1, double N2, double n); double rhyper(double N1, double N2, double n); ``` ``` These functions provide information about the hypergeo- metric distribution with parameters `N1', `N2' and `n'. `dhyper' gives the density, `phyper' gives the distri- bution function `qhyper' gives the quantile function and `rhyper' generates random deviates. ``` ``` The hypergeometric distribution is used for sampling without replacement. It has density ``` ``` p(x) = Choose(N1, x) Choose(N2, n-x) / Choose(N1+N2, n) ``` ``` for x = 0, ..., n. ``` ``` TThhee LLoogg NNoorrmmaall DDiissttrriibbuuttiioonn ``` ``` double dlnorm(double x, double meanlog, double sdlog); double plnorm(double x, double meanlog, double sdlog); double qlnorm(double x, double meanlog, double sdlog); double rlnorm(double meanlog, double sdlog); ``` ``` These functions provide information about the log nor- mal distribution whose logarithm has mean equal to `meanlog' and standard deviation equal to `sdlog'. `dlnorm' gives the density, `plnorm' gives the distri- bution function `qlnorm' gives the quantile function and `rlnorm' generates random deviates. ``` ``` If `meanlog' or `sdlog' are not specified they assume the default values of `0' and `1' respectively. ``` ``` The log normal distribution has density ``` ``` f(x) = 1/(sqrt(2 pi) sigma x) e^-((log x - mu)^2 / (2 sigma^2)) ``` ``` where mu and sigma are the mean and standard deviation of the logarithm. ``` ``` SSeeee AAllssoo:: ``` ``` `dnorm', etc. ``` ``` TThhee LLooggiissttiicc DDiissttrriibbuuttiioonn ``` ``` double dlogis(double x, double location, double scale); double plogis(double x, double location, double scale); double qlogis(double x, double location, double scale); double rlogis(double location, double scale); ``` ``` These functions provide information about the logistic distribution with parameters `location' and `scale'. `dlogis' gives the density, `plogis' gives the distri- bution function `qlogis' gives the quantile function and `rlogis' generates random deviates. ``` ``` The Logistic distribution with `location' a and `scale' b has density ``` ``` f(x) = 1/b exp((x-a)/b) (1 + exp((x-a)/b))^-2. ``` ``` TThhee NNeeggaattiivvee BBiinnoommiiaall DDiissttrriibbuuttiioonn ``` ``` double dnbinom(double x, double n, double p); double pnbinom(double x, double n, double p); double qnbinom(double x, double n, double p); double rnbinom(double n, double p); ``` ``` These functions provide information about the negative binomial distribution with parameters `n' and `p'. `dnbinom' gives the density, `pnbinom' gives the dis- tribution function, `qnbinom' gives the quantile func- tion and `rnbinom' generates random deviates. ``` ``` The negative binomial distribution has density ``` ``` p(x) = Choose(x+n-1,x) p^n (1-p)^x ``` ``` for x = 0, 1, 2, ... ``` ``` SSeeee AAllssoo:: ``` ``` `dbinom' for the binomial and `dpois' for the Poisson distribution. ``` ``` TThhee NNoonn--CCeennttrraall CChhii--SSqquuaarree DDiissttrriibbuuttiioonn ``` ``` double dnchisq(double x, double df, double lambda); double pnchisq(double x, double df, double lambda); double qnchisq(double x, double df, double lambda); double rnchisq(double df, double lambda); ``` ``` These functions provide information about the non-cen- tral chi-square distribution with `df' degrees of free- dom and non-centrality parameter `lambda'. `dnchisq' gives the density, `pnchisq' gives the distribution function, `qnchisq' gives the quantile function and `rnchisq' generates random deviates. ``` ``` The non-central chi-square distribution with df degrees of freedom and non-centrality parameter lambda has den- sity ``` ``` f(x) = exp(-lambda/2) SUM_{r=0}^infty (lambda^r / 2^r r!) pchisq(x, df + 2r) ``` ``` for x >= 0. ``` ``` SSeeee AAllssoo:: ``` ``` `dchisq', `dgamma'. ``` ``` TThhee NNoorrmmaall DDiissttrriibbuuttiioon ``` ``` double dnorm(double x, double mean, double sd); double pnorm(double x, double mean, double sd); double qnorm(double x, double mean, double sd); double rnorm(double mean, double sd); These functions provide information about the normal distribution with mean equal to `mean' and standard deviation equal to `sd'. `dnorm' gives the density, `pnorm' gives the distribution function `qnorm' gives the quantile function and `rnorm' generates random deviates. ``` ``` If `mean' or `sd' are not specified they assume the default values of `0' and `1', respectively. ``` ``` The normal distribution has density ``` ``` f(x) = 1/(sqrt(2 pi) sigma) e^-((x - mu)^2/(2 sigma^2)) ``` ``` where mu is the mean of the distribution and sigma the standard deviation. ``` ``` SSeeee AAllssoo:: ``` ``` `dlnorm' for the Lognormal distribution. ``` ``` TThhee PPooiissssoonn DDiissttrriibbuuttiioonn ``` ``` double dpois(double x, double lambda); double ppois(double x, double lambda); double qpois(double x, double lambda); double rpois(double lambda); ``` ``` These functions provide information about the Poisson distribution with parameter `lambda'. `dpois' gives the density, `ppois' gives the distribution function `qpois' gives the quantile function and `rpois' gener- ates random deviates. ``` ``` The Poisson distribution has density ``` ``` p(x) = lambda^x exp(-lambda)/x! ``` ``` for x = 0, 1, 2, .... ``` ``` TThhee SSttuuddeenntt tt DDiissttrriibbuuttiioonn ``` ``` double dt(double x, double df); double pt(double x, double df); double qt(double x, double df); double rt(double df); ``` ``` These functions provide information about the t distri- bution with `df' degrees of freedom. `dt' gives the density, `pt' gives the distribution function, `qt' gives the quantile function and `rt' generates random deviates. ``` ``` The t distribution with n degrees of freedom has den- sity ``` ``` f(x) = Gamma((n+1)/2) / (sqrt(n pi) Gamma(n/2)) (1 + x^2/n)^-((n+1)/2) ``` ``` for all real x. ``` ``` SSeeee AAllssoo:: ``` ``` `df' for the F distribution which generalizes the t one. ``` ``` TThhee UUnniiffoorrmm DDiissttrriibbuuttiioonn ``` ``` double dunif(double x, double min, double max); double punif(double x, double min, double max); double qunif(double x, double min, double max); double runif(double min, double max); ``` ``` These functions provide information about the uniform distribution on the interval from `min' to `max'. `dunif' gives the density, `punif' gives the distribu- tion function `qunif' gives the quantile function and `runif' generates random deviates. ``` ``` If `min' or `max' are not specified they assume the default values of `0' and `1' respectively. ``` ``` The uniform distribution has density ``` ``` f(x) = 1/(max-min) ``` ``` for min <= x <= max. ``` ``` TThhee WWeeiibbuullll DDiissttrriibbuuttiioonn ``` ``` double dweibull(double x, double shape, double scale); double pweibull(double x, double shape, double scale); double qweibull(double x, double shape, double scale); double rweibull(double shape, double scale); ``` ``` These functions provide information about the Weibull distribution with parameters `shape' and `scale'. `dweibull' gives the density, `pweibull' gives the dis- tribution function, `qweibull' gives the quantile func- tion and `rweibull' generates random deviates. ``` ``` The Weibull distribution with `shape' parameter a and `scale' parameter b has density given by ``` ``` f(x) = (a/b) (x/b)^(a-1) exp(- (x/b)^a) ``` ``` for x > 0. ``` ``` SSeeee AAllssoo:: ``` ``` `dexp' for the Exponential which is a special case of a Weibull distribution. ``` **beta** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **lfastchoose** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **fastchoose** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **lchoose** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **choose** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **dbeta** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dbinom** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dcauchy** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dchisq** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **dexp** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **df** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dgamma** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dgeom** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **dhyper** ``` Signature: (a(); b(); c(); d(); [o]ppret()) ``` info not available\ **digamma** ``` Signature: (a(); [o]ppret()) ``` info not available\ **trigamma** ``` Signature: (a(); [o]ppret()) ``` info not available\ **tetragamma** ``` Signature: (a(); [o]ppret()) ``` info not available\ **pentagamma** ``` Signature: (a(); [o]ppret()) ``` info not available\ **dlnorm** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dlogis** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dnbinom** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dnorm** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dpois** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **dt** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **dunif** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **dweibull** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **fcube** ``` Signature: (a(); [o]ppret()) ``` info not available\ **fint** ``` Signature: (a(); [o]ppret()) ``` info not available\ **fmax2** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **fmin2** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **fmod** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **fsign** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **fsquare** ``` Signature: (a(); [o]ppret()) ``` info not available\ **gamma** ``` Signature: (a(); [o]ppret()) ``` info not available\ **imax2** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **imin2** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **lbeta** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **lgamma** ``` Signature: (a(); [o]ppret()) ``` info not available\ **pbeta** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pbeta\_b** ``` Signature: (a(); b(); c(); d(); [o]ppret()) ``` info not available\ **pbinom** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pcauchy** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pchisq** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **pexp** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **pf** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pgamma** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pgeom** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **phyper** ``` Signature: (a(); b(); c(); d(); [o]ppret()) ``` info not available\ **plnorm** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **plogis** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pnbinom** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pnchisq** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pnorm** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **ppois** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **prec** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **pt** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **punif** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **pweibull** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qbeta** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qbinom** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qcauchy** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qchisq** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **qf** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qexp** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **qgamma** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qgeom** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **qhyper** ``` Signature: (a(); b(); c(); d(); [o]ppret()) ``` info not available\ **qlnorm** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qlogis** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qnbinom** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qnchisq** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qnorm** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qpois** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **qt** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **qunif** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **qweibull** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **rbeta** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rbinom** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rcauchy** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rchisq** ``` Signature: (a(); [o]ppret()) ``` info not available\ **rexp** ``` Signature: (a(); [o]ppret()) ``` info not available\ **rf** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rgamma** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rgeom** ``` Signature: (a(); [o]ppret()) ``` info not available\ **rhyper** ``` Signature: (a(); b(); c(); [o]ppret()) ``` info not available\ **rlnorm** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rlogis** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rnbinom** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rnorm** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rround** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **trunc** ``` Signature: (a(); [o]ppret()) ``` info not available\ **rpois** ``` Signature: (a(); [o]ppret()) ``` info not available\ **rt** ``` Signature: (a(); [o]ppret()) ``` info not available\ **runif** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **rweibull** ``` Signature: (a(); b(); [o]ppret()) ``` info not available\ **sexp** ``` Signature: ([o]ppret()) ``` info not available\ **sign** ``` Signature: (a(); [o]ppret()) ``` info not available\ **snorm** ``` Signature: ([o]ppret()) ``` info not available\ **sunif** ``` Signature: ([o]ppret()) ``` info not available\ **dpsifn\_in** ``` Signature: (x(); n(); kode(); m(); [o]ans(n); int [o]nz(); int [o]ierr()) ``` info not available PDL::R is almost completley untested. Arguments may not be omitted as stated in the documentation. This document and and the PDL::R interface are copyrighted: Copyright (C) 1998 John Lapeyre and may be distributed under the terms in the file COPYING in the PDL distribution. This document is a modified version of the documentation found in the R distribution. It is modified only to provide a description of the PDL calling sytax. The R language including all sources and documentation is copyrighted under the terms of the Gnu Public License: R : A Computer Langage for Statistical Data Analysis Copyright (C) 1995, 1996 Robert Gentleman and Ross Ihaka The PDL language is copyrighted: Copyright (C) R.J.R. Williams 1997 (rjrw@ast.leeds.ac.uk), Karl Glazebrook (kgb@aaoepp.aao.gov.au) and Tuomas J. Lukka (Tuomas.Lukka@helsinki.fi). All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation under certain conditions. For details, see the file COPYING in the PDL distribution. If this file is separated from the PDL distribution, the copyright notice should be included in the file.