[R] Fwd: Help with R-Calling forth csv.

[Jim Lemon]

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 <areidamh using 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
>
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