Probability distributions using R contains tutorials on how to calculate probabilities, cumulative probabilities, quantiles and random sample using R Programming
Cauchy Distribution probabilities using R In this tutorial, you will learn about how to use dcauchy(), pcauchy(), qcauchy() and rcauchy() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Cauchy distribution. Before we discuss R functions for Cauchy distribution, let us see what is Cauchy …
Logistic Distribution probabilities using R In this tutorial, you will learn about how to use dlogis(), plogis(), qlogis() and rlogis() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Logistic distribution. Before we discuss R functions for Logistic distribution, let us see what is Logistic …
Laplace Distribution probabilities using R In this tutorial, you will learn about how to use dlaplace(), plaplace(), qlaplace() and rlaplace() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Laplace distribution. Before we discuss R functions for Laplace distribution, let us see what is Laplace …
Weibull Distribution probabilities using R In this tutorial, you will learn about how to use dweibull(), pweibull(), qweibull() and rweibull() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Weibull distribution. Before we discuss R functions for Weibull distribution, let us see what is Weibull …
Gamma Distribution Probabilities using R In this tutorial, you will learn about how to use dgamma(), pgamma(), qgamma() and rgamma() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Gamma distribution. Before we discuss R functions for Gamma distribution, let us see what is Gamma …
Beta Distribution probabilities using R In this tutorial, you will learn about how to use dbeta(), pbeta(), qbeta() and rbeta() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Beta Type I distribution. Before we discuss R functions for Beta Type I distribution, let us …
Log-normal Distribution Probabilities using R In this tutorial, you will learn about how to use dlnorm(), plnorm(), qlnorm() and rlnorm() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Log-normal distribution. Before we discuss R functions for Log-normal distribution, let us see what is Log-normal …
Normal Distribution Probabilities using R In this tutorial, you will learn about how to use dnorm(), pnorm(), qnorm() and rnorm() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Normal distribution. Before we discuss R functions for Normal distribution, let us see what is Normal …
Exponential Distribution probabilities using R In this tutorial, you will learn about how to use dexp(), pexp(), qexp() and rexp() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Exponential distribution. Before we discuss R functions for Exponential distribution, let us see what is Exponential …
Uniform Distribution probabilities using R In this tutorial, you will learn about how to use dunif(), punif(), qunif() and runif() functions in R programming language to compute the individual probabilities, cumulative probabilities, quantiles and to generate random sample for Uniform distribution. Before we discuss R functions for Uniform distribution, let us see what is Uniform …
