edu.cmu.minorthird.classify.algorithms.random
Interface RWrapper

public interface RWrapper

User: Edoardo M. Airoldi (eairoldi@cs.cmu.edu) Date: Feb 22, 2005

Method Summary

double[]	dnorm(double[] t, double mu, double sd, java.lang.String string) Evasluates a Gaussian density (mean = mu, standard deviation = sd) at each element of the vector t
double	dnorm(double t, double mu, double sd, java.lang.String string) Evasluates a Gaussian density (mean = mu, standard deviation = sd) at t
void	end() Teminates the REngine
double[]	rbinom(int n, double mu, double delta) Genrates a vector of n doubles distributed according to a Binomial with parameters: mu = mu and delta = delta
double[]	rnbinom(int n, double mu, double delta) Genrates a vector of n doubles distributed according to a Negative-Binomial with parameters: mu = mu and delta = delta
double[]	rnorm(int n, double mu, double sd) Genrates a vector of n doubles distributed according to a Gaussian with: mean = mu and standard deviation = sd
double[]	runif(int n, double min, double max) Genrates a vector of n doubles distributed according to a Uniform with range: min = min and max = max

Method Detail

end

void end()

Teminates the REngine

rnorm

double[] rnorm(int n,
               double mu,
               double sd)

Genrates a vector of n doubles distributed according to a Gaussian with: mean = mu and standard deviation = sd

runif

double[] runif(int n,
               double min,
               double max)

Genrates a vector of n doubles distributed according to a Uniform with range: min = min and max = max

rbinom

double[] rbinom(int n,
                double mu,
                double delta)

Genrates a vector of n doubles distributed according to a Binomial with parameters: mu = mu and delta = delta

rnbinom

double[] rnbinom(int n,
                 double mu,
                 double delta)

Genrates a vector of n doubles distributed according to a Negative-Binomial with parameters: mu = mu and delta = delta

dnorm

double[] dnorm(double[] t,
               double mu,
               double sd,
               java.lang.String string)

Evasluates a Gaussian density (mean = mu, standard deviation = sd) at each element of the vector t

dnorm

double dnorm(double t,
             double mu,
             double sd,
             java.lang.String string)

Evasluates a Gaussian density (mean = mu, standard deviation = sd) at t