Hi Mohammad, The plot you attached suggests that the underlying distribution may be a mixture. Is there anything in your data that would explain this, such as laden/unladen, uphill/downhill, different road surface?
Jim On Mon, Apr 16, 2018 at 11:31 PM, Mohammad Areida <areid...@gmail.com> wrote: > Hi, I do not know how to post in general again, however my csv contains > around 5-250k data Points depending on vehicle/road type and pressure > exerted on geotechnical structures. I have used R to develope histograms of > said csv files and will attach such Picture to you in this mail and the csv > used. Below I will type the R code I have used for this histogram. > > ------------------------------------------------------------ > ---------------------------- > > tryck <- read.csv("radmanso_2017.csv", sep=";", dec=",") > > ##### H??R KOLLAR VI ALLA DATA PUNKTER ###### > > ggplot(data=tryck, aes(tryck[,1])) + > > geom_histogram(aes(y =..density..), > > breaks=seq(min(tryck[,1]-1), max(tryck[,1]+1), by = 0.5), > > col="black", > > fill="green", > > alpha = .2) + > > geom_density(col=2) + > > labs(title="Pressure for rådmansö") + > > labs(x="Pressure [kPa]", y="Amount of vehicles (Percentage)")+ > > stat_function(fun=dnorm, colour="blue", args = list(mean = > mean(tryck[,1]), sd = sd(tryck[,1]))) > > > > My problem now is to find a statistical distribution that corresponds well > with my histograms with the use of Visual aids, cumulative distributions or > goodness of fit tests which I can’t develope a code for as my csv wont get > called forth and I do not know how to proceed from that Point on to develop > such an aid. If you have any input on how to read the csv file and call > forth a distribution to try on my data points such as Weibull, beta, chi or > gen. Extreme value distributions I would much appreciate the help! > > > > Kind regards, > > Mohammad > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.