I`m using fitdistr() to estimate parameters for different distributions of my data set.
Now I have problems to estimate the weibull Distribution and others. I found the recommendation to use the pel…() function. My question is: If I estimate parameters with the pel…() function. How can I use them to create a theoretical distribution? Like for normal distribution, exponential distribution, gamma distribution and so on. For example: I got this parameters: > pelnor(x) mu sigma 0.09968345 0.12117581 > pelexp(x) xi alpha -0.03704881 0.13673225 x ist my data set I try to estimate parameters for different distribution based on my real data set and then to create a theoretical data set based on the estimated parameters. So I can compare to which distribution my data set match at most. For this I use the chi quadrat test. -- View this message in context: http://r.789695.n4.nabble.com/pel-fitdistr-how-to-estimate-distribution-parameters-tp4685919.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.