Hi Peter
Thanks for your reply. I appreciate that.Murray Christmas.
CheersMohsen
On Thursday, December 24, 2015 4:15 PM, peter dalgaard <[email protected]>
wrote:
Two ideas:
a: Take log of your data and compare with normal distr.
b: Use log="xy" as a graphical parameter.
Otherwise, you're on your own.
-pd
> On 24 Dec 2015, at 10:03 , mohsen hs <[email protected]> wrote:
>
> Hi Peter,
>
> Thanks once again for your kind reply.
>
> One quick question, could you please guide me and let me know how I can get
> the similar qq plot(log-log scale) that I get from qqcomp, from
> qqPlotCensored function(It is similar to qqPlot, and available in EnvStats
> http://www.inside-r.org/node/218933 ).
>
> Thanks a lot.
>
> Cheers
> Mohsen
>
>
>
> MHS
>
>
> On Wednesday, December 23, 2015 6:52 PM, mohsen hs <[email protected]>
> wrote:
>
>
> Hi Peter and Rolf
>
> Thank you for your time and replying me. It makes sense now. I sincerely
> appreciate that.
>
> Cheers
> Mohsen
>
>
>
>
> On Tuesday, December 22, 2015 10:08 PM, peter dalgaard <[email protected]>
> wrote:
>
>
>
> > On 22 Dec 2015, at 07:30 , mohsen hs via R-help <[email protected]>
> > wrote:
> >
> > The above command gives me a differentplot. I am not sure what part I am
> > doing wrong. I appreciate your time forconsidering my request and your
> > feedback is highly appreciated. Please find the plots attached. The right
> > one is from qqcomp and the left one is from qqPlot. Titles might be
> > incorrect.
>
> They never arrived, but your data weren't actually needed. The crucial
> missing information was the packages used. This will do:
>
> > library(EnvStats); library(fitdistrplus)
> > serving <- exp(rnorm(100))
> > qqPlot ( serving, dist ="lnorm", estimate.params = TRUE, add.line = TRUE)
>
> >
> > fitln <- fitdist(serving,"lnorm",method="mle")
> > qqcomp(fitln)
>
>
> The difference is quite clearly that qqPlot is doing a QQ-plot of
> log(serving) vs. normal quantiles, whereas qqcomp plots serving itself
> against lognormal quantiles. So the former is pretty much equal to the latter
> on a log-log scale.
>
> --
> Peter Dalgaard, Professor,
> Center for Statistics, Copenhagen Business School
> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
> Phone: (+45)38153501
> Office: A 4.23
> Email: [email protected] Priv: [email protected]
>
>
>
>
>
>
>
>
>
>
>
>
>
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: [email protected] Priv: [email protected]
[[alternative HTML version deleted]]
______________________________________________
[email protected] 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.
