Hello Sir Thanx a lot, will try Pareto chart for my data
Regards Our Thoughts have the Power to Change our Destiny. Sunita On Thu, Nov 19, 2009 at 12:29 PM, Petr PIKAL <petr.pi...@precheza.cz> wrote: > Well, from what you say it seems to me that you could also use Pareto > charts together with some aggregation of data. But it depends on what you > want to show to your audience. Below is some code which I slightly adapted > form original author. > > Regards > Petr > > > #---------------------------------------------------------------------------------------------------------------------- > # pareto. Produces a Pareto plot of effects. > # > # Parameters: > # effects - vector or matrix of effects to plot. > # names - vector of names to label the effects. > # xlab - String to display as the x axis label. > # ylab - String to display as the y axis label. > # perlab - Label for the cumulative percentage label. > # heading - Vector of names for plot heading. > # > pareto <- function(effects, names=NULL, xlab=NULL, ylab="Magnitude of > Effect", indicate.percent=TRUE, perlab="Cumulative Percentage", > heading=NULL, trunc.perc=.95, long.names=FALSE,...) > { > # set up graphics parameters, note: set las=2 for perpendicular > axis. > oldpar <- par( mar=c(6, 4, 2, 4) + 0.1 , las=3) > on.exit(par(oldpar)) > > if( ! is.matrix(effects)) effects<-as.matrix( effects ) > > for( i in 1:ncol(effects) ) > { > > if( i==2 ) oldpar$ask<-par(ask=TRUE)$ask > # draw bar plot > eff.ord <- rev(order(abs(effects[,i]))) > ef <- abs(effects[eff.ord,i]) > names<-as.character(names)[eff.ord] > # plot barplot > > # get cumulative sum of effects > sumeff <- cumsum(ef) > m<-max(ef) > sm<-sum(ef) > sumeff <- sumeff/sm > > vyber<-sumeff>trunc.perc > suma.ef<-sum(ef[vyber]) > sumeff<-c(sumeff[!vyber],1)*m > ef<-c(ef[!vyber],suma.ef) > names<-c(as.character(names[!vyber]),"Dalsi") > ylimit<-max(ef) + max(ef)*0.19 > ylimit<-c(0,ylimit) > par( mar=c(6, 4, 2, 4) + 0.1 , las=3) > > if (long.names) { > x<- barplot(ef, names.arg=names, ylim=ylimit, xlab=xlab, > ylab=ylab, main=heading[i], plot=F, ...) > x<- barplot(ef, ylim=ylimit, xlab=xlab, ylab=ylab, > main=heading[i], ...) > text(x,ylimit[2]/10, names, srt=90, adj=0, cex=.7)} else { > > x<-barplot(ef, names.arg=names, ylim=ylimit, xlab=xlab, > ylab=ylab, main=heading[i], ...) > } > > > if( indicate.percent == TRUE ){ > > > > # draws curve. > lines(x, sumeff, lty="solid", lwd=2, col="purple") > > # draw 80% line > lines( c(0,max(x)), rep(0.8*m,2) ) > # draw axis labling percentage. > at <- c(0:5)* m/5 > axis(4, at=at, > labels=c("0","20","40","60","80","100"), pos=max(x)+.6) > # add axis lables > par(las=0) > mtext(perlab, 4, line=2) > } > > } # end for each col > } > > > #Don Wingate > > > r-help-boun...@r-project.org napsal dne 18.11.2009 16:17:32: > > > yes in my data the 1st column is the main category say suppose > "Secretary" > > the second column is the sub category "HR Dept" the 3rd column is the > list > > of duties performed by the Secretary from HR dept and 4th column is time > > required to perform the duty > > > > so there are many such posts and dept with varied duties and times resp. > > > > Regards > > > > Our Thoughts have the Power to Change our Destiny. > > Sunita > > > > > > On Wed, Nov 18, 2009 at 8:42 PM, Petr PIKAL <petr.pi...@precheza.cz> > wrote: > > > > > Hi > > > > > > r-help-boun...@r-project.org napsal dne 18.11.2009 16:01:27: > > > > > > > Yes I tried all the basic ones like box plot, pie chart, etc but the > > > data > > > > representation isnt that clear. > > > > > > > > > > I agree with Tal. But it partly depends on your data. If you have many > > > levels and only few time values in each boxplot would not look well. > Maybe > > > you could check also ?xtabs or ?table and/or R graph gallery > > > http://addictedtor.free.fr/graphiques/ if you find suitable graph. > > > > > > Regards > > > Petr > > > > > > > > > > > > > > > > > Regards > > > > > > > > Our Thoughts have the Power to Change our Destiny. > > > > Sunita > > > > > > > > > > > > On Wed, Nov 18, 2009 at 7:20 PM, Tal Galili <tal.gal...@gmail.com> > > > wrote: > > > > > > > > > I would start with > > > > > ?boxplot > > > > > > > > > > > > > > > ---------------------------------------------- > > > > > > > > > > > > > > > My contact information: > > > > > Tal Galili > > > > > E-mail: tal.gal...@gmail.com > > > > > Phone number: 972-52-7275845 > > > > > FaceBook: Tal Galili > > > > > My Blogs: > > > > > http://www.talgalili.com (Web and general, Hebrew) > > > > > http://www.biostatistics.co.il (Statistics, Hebrew) > > > > > http://www.r-statistics.com/ (Statistics,R, English) > > > > > > > > > > > > > > > > > > > > > > > > > On Wed, Nov 18, 2009 at 2:47 PM, Sunita Patil > <sunita...@gmail.com> > > > wrote: > > > > > > > > > >> Thanx > > > > >> > > > > >> but I am not able to find a graph that wud suit my data > > > > >> > > > > >> Regards > > > > >> > > > > >> Our Thoughts have the Power to Change our Destiny. > > > > >> Sunita > > > > >> > > > > >> > > > > >> On Sun, Nov 15, 2009 at 8:54 PM, milton ruser > <milton.ru...@gmail.com > > > > >> >wrote: > > > > >> > > > > >> > Google "R graph grallery" > > > > >> > Google "R ggplot2" > > > > >> > Google "R lattice" > > > > >> > > > > > >> > and good luck > > > > >> > > > > > >> > milton > > > > >> > On Sun, Nov 15, 2009 at 7:48 AM, Sunita22 <sunita...@gmail.com> > > > wrote: > > > > >> > > > > > >> >> > > > > >> >> Hello > > > > >> >> > > > > >> >> My data contains following columns: > > > > >> >> > > > > >> >> 1st column: Posts (GM, Secretary, AM, Office Boy) > > > > >> >> 2nd Column: Dept (Finance, HR, ...) > > > > >> >> 3rd column: Tasks (Open the door, Fix an appointment, Fill the > > > > >> register, > > > > >> >> etc.....) depending on the post > > > > >> >> 4th column: Average Time required to do the task > > > > >> >> > > > > >> >> So the sample data would look like > > > > >> >> Posts Dept Task Average > > > time > > > > >> >> Office Boy HR Open the door 00:00:09 > > > > >> >> Secretary Finance Fix an appointment 00.00.30 > > > > >> >> .... ..... ..... ..... > > > > >> >> > > > > >> >> I am trying to represent this data in Graphical format, I > tried > > > graphs > > > > >> >> like > > > > >> >> Mosaic plot, etc. But it does not represent the data > correctly. My > > > aim > > > > >> is > > > > >> >> to > > > > >> >> check the "amount of time and its variability for groups of > tasks" > > > > >> >> > > > > >> >> Thank you in advance > > > > >> >> Regards > > > > >> >> Sunita > > > > >> >> > > > > >> >> -- > > > > >> >> View this message in context: > > > > >> >> > > > > >> http://old.nabble.com/Presentation-of-data-in-Graphical-format- > > > > tp26358857p26358857.html > > > > >> >> Sent from the R help mailing list archive at Nabble.com. > > > > >> >> > > > > >> >> ______________________________________________ > > > > >> >> R-help@r-project.org mailing list > > > > >> >> https://stat.ethz.ch/mailman/listinfo/r-help > > > > >> >> PLEASE do read the posting guide > > > > >> >> http://www.R-project.org/posting-guide.html< > > > > >> 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 > > > > >> 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 > > > > 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 > > 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 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.