FitUltD
The goal of FitUltD is to fit data that can’t be fitted with ordinary density functions
Installation
You can install the released version of FitUltD from CRAN with:
install.packages("FitUltD")
Example
This is a basic example which shows you how to solve a common problem:
library(FitUltD)
FIT1<-FDistUlt(c(rnorm(73,189,12),rweibull(82,401,87),rgamma(90,40,19)), plot=TRUE)
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
What is special about using README.Rmd
instead of just README.md
?
You can include R chunks like so:
FIT1[[3]]
#> Distribucion Prop_dist AD_p.v KS_p.v Chs_p.v
#> AD4 lnorm(5.24, 0.077) 0.2979592 0.9675941 0.9298268 0
#> AD12 norm(86.871, 0.277) 0.3346939 0.6223739 0.7982842 0
#> AD2 gamma(48.145, 22.723) 0.3673469 0.9556936 0.9826995 0
You’ll still need to render README.Rmd
regularly, to keep README.md
up-to-date.
You can also embed plots, for example:
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub!