Hi everyone, I was trying to fit a Log Pearson III distribution through some maxima data. I got thrown off because my results in Excel (using a frequency factor table) are different from my results using pelpe3() in the R-package "lmom". The only reason I can think of is the skewness.
The Pearson III distribution has three parameters: Location (mean), scale (standard deviation) and shape (skewness). The command pelpe3() returns the same values for the first two parameters like I had computed in Excel. However, the skewness is much higher. Excel uses the type II skewness. *Does anybody know what type of skewness pelpe3() uses and why?* To be complete, I included some data. data.txt <http://r.789695.n4.nabble.com/file/n4673984/data.txt> This table gives the the maximum daily rainfall for each of 22 years. I want to fit the distribution through those maximum rainfall events. These are the parameters that I generated for the Pearson III distribution in Excel and R: * Excel R* *location (mean) * 0.68 0.68 *shape (skewness) *1.04 *1.6* *scale (stand dev)* 0.38 0.4 Any help would be greatly appreciated! Thank you! Frauke -- View this message in context: http://r.789695.n4.nabble.com/Which-skewness-does-pelpe3-from-package-lmom-use-tp4673984.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.
