Statistics Using R

Doing and discovering statistics using R programming.

R functions handling calculating the density, cumulative probability, quantile and random number generation for different statistical distributions: Normal distribution, t distribution, gamma distribution, chi-square distribution, F distribution, beta distribution, etc.

Linear regression and Generalized linear models using R programming.

Discrete choice modeling using R programming.

ANOVA, factor analysis using R programming.

Clustering model using R programming.

Using Weibull distribution in R programming

Weibull distribution, named after Swedish mathematician Waloddi Weibull, is a continuous distribution which is widely used to model the distribution of random time between events. Exponential distribution, which is used to model the random time until next event occurs and have so-called memoryless feature or constant failure rate. In order to relax this memoryless condition, analysts may use either Gamma distribution or Weibull distribution instead.

By wilsonzhang746, ago