text_combined: rkevinburtoncharternet trying fit set data weibull distribution implementation requires put data range 0 x 1 normailze function normalize functionx xminx maxx minx 05 0 05 1 return output normalize function normalizec9334161205375 1 07403846 01730769 05000000 05000000 03557692 05673077 calculate model parameters hand basically line fit get shape 1 2022953 scale 1 05528019 r 1 09661575 run fitdistr get fitdistrnormalizec9334161205375 weibull shape scale 302746335 052969005 101520182 007482737 warning messages 1 dweibullx shape scale log nans produced 2 dweibullx shape scale log nans produced first concern warnings nans produced next values produced used manual method time think produces accurate fit numbers produced fitdistr order still different would expect combination warnings questionable response doesnt inspire confidence something wrong thank kevin ben bolker wrote beta distribution applies data bounded 0 1 cases strictly bounded ie 0 0x1 start try something like d2 diffmindiff0001maxdiffmindiff0002 fitdistrd2densfunbetastartlistshape13shape22 ccing back rhelp posterity ben bolker rkevinburtoncharternet wrote ok see documentation start required certain distributions get fitdistrdiff densfunbeta listshape13shape22 error optimx c0 516 968 703 960 32 956 1417 92 471 531 initial value vmmin finite idea vmmin cause error thanks kevin ben bolker wrote charternet writes data based historgram plots looks like beta distribution function functions within r help determine model parameters distirbution librarymass fitdistr ______________________________________________ rhelprprojectorg mailing list httpsstatethzchmailmanlistinforhelp please read posting guide httpwwwrprojectorgpostingguidehtml provide commented minimal selfcontained reproducible code thu 07 aug 2008 112056 0700 r determining model parameters