> On 25 May 2017, at 20:35, Elahe chalabi via R-help <r-help@r-project.org> > wrote: > > Thanks for your reply Bert. But the question on how to plot MDS on predicted > data I guess belong to here!
Actually, You have 2 questions in conflict. 1- how can I plot MDS on predicted data? 2- Is MDS plot a way to find out if the classification are easy to be separated? In first, You know what MDS is and asking only how to plot. In second, you ask how to interpret it. So, I suspect, too (as Bert did) that you actually want to learn how to interpret a MDS plot. For the first question, I think you are looking for MDSplot function already comes with randomForest package. (type ?MDSplot in R) For the second one, see the links below. If they are not enough, then ask your question again in stats.stackexchange.com <http://stats.stackexchange.com/>. a) http://www.statmethods.net/advstats/mds.html <http://www.statmethods.net/advstats/mds.html> b) https://stats.stackexchange.com/questions/40737/randomforest-mds-plot-interpretation <https://stats.stackexchange.com/questions/40737/randomforest-mds-plot-interpretation> c) http://r.789695.n4.nabble.com/interpretation-of-MDS-plot-in-random-forest-td4681459.html <http://r.789695.n4.nabble.com/interpretation-of-MDS-plot-in-random-forest-td4681459.html> > > > > > On Thursday, May 25, 2017 9:43 AM, Bert Gunter <bgunter.4...@gmail.com> wrote: > > > > Elahe: > > > On Thu, May 25, 2017 at 8:15 AM, Elahe chalabi via R-help > <r-help@r-project.org> wrote: >> Hi all, >> I have applied Random Forest on my data and divided data into test and rain >> set to see the prediction results and it seems good cause the accuracy is >> 82%. Now my question is how can I plot MDS on predicted data? here is my >> code: >> >> >> >> spl=sample.split(df$PatientType,SplitRatio = 0.7) >> Train=subset(df,spl==TRUE) >> Test=subset(df,spl==FALSE) >> SecondTree=randomForest(PatientType~ cookie + curtains + get + mother + >> overflowing + sink +thats + window + stool + heres + drying + chair + okay >> +outside + standing + tipping + windows + blowing + breeze +counter + >> finger + onto + open + reaching + didnt + spilled +action + quiet + summer + >> mouth + puddle + good + wind +whos + sort,data = >> Train,nodesize=25,ntree=200,proximity=TRUE) >> PredictForest=predict(SecondTree,newdata =Test) > > >> Is MDS plot a way to find out if the classification are easy to be separated? > > This seems to be largely a statistics question and, if so, is OT here > (this list is about R programming) I suggest you post this on > stats.stackexchange.com instead. > > Cheers, > Bert > > > >> >> thanks for any help. >> Elahe >> >> ______________________________________________ >> 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. [[alternative HTML version deleted]] ______________________________________________ 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.
