Shiny Gadget: Fit Distributions
[This article was first published on R on Thomas Roh, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The ‘Fit Distributions’ shiny gadget allows easy automated diagnostics for fitting univariate distributions. It reads in numeric vectors in the global environment, and uses MLE to estimate the parameters of the selected distributions. The visual outputs are GOF statistics, density plot, pp-plot, and qq-plot. You can also adjust the number of bins for the histogram. It currently only supports continuous distributions.
install.packages('fitur')
library(fitur)
library(actuar)
x <- rnorm(1000)
y <- rweibull(1000, 1)
df <- dataframe(x, y)
fitur::fit_dist_addin()
To leave a comment for the author, please follow the link and comment on their blog: R on Thomas Roh.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.