Hi R users I have a dataset which represents points that are market by patients as the source of pain. Basically the patients indicates by a cross on a chest pictures where he/she thinks is the source of pain. The data was then digitalized by divinding the chest into small squares and each square was give value 1 if it was the center 2 if it was touched by the markings and 3 if it was not touched. I would like to plot this data on the chest like graph showing the intesities of different points and later stratify the grouping variables to see the difference. Has anybody got an idea how I can go around this ? Help is highly appreciated. Regards Anthony Gichangi, M. sc. Department of Statistics. JB. Winsl?vej 9B, DK 5000 Odense C. Tel: 00 45 6550 3379 Mobile: 00 45 61105805
Just a suggestion. It seems like each square can be denoted by x and y coordinates. Then you essentially have a two dimensional histogram/density that you need to plot. You can use the lattice functions "cloud"/"wireframe". You can also go for a heat map/contour plot, the lattice functions for that will be "levelplot"/"contourplot". In case the number of squares are small, you might prefer a two-dimensional histogram, "cloud" in lattice has an option to plot the point as histogram. Ritwik. On 8/4/06, Gichangi, Anthony <anthony@stat.sdu.dk> wrote:> > Hi R users > > I have a dataset which represents points that are market by patients as > the > source of pain. > Basically the patients indicates by a cross on a chest pictures where > he/she > thinks is the > source of pain. The data was then digitalized by divinding the chest into > small squares and each > square was give value 1 if it was the center 2 if it was touched by the > markings and 3 if it was not > touched. I would like to plot this data on the chest like graph showing > the > intesities of different > points and later stratify the grouping variables to see the difference. > > Has anybody got an idea how I can go around this ? > > Help is highly appreciated. > > Regards > > Anthony Gichangi, M. sc. > Department of Statistics. > JB. Winsløvej 9B, > DK 5000 Odense C. > Tel: 00 45 6550 3379 > Mobile: 00 45 61105805 > > ______________________________________________ > R-help@stat.math.ethz.ch 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. >-- Ritwik Sinha Graduate Student Epidemiology and Biostatistics Case Western Reserve University http://darwin.cwru.edu/~rsinha [[alternative HTML version deleted]]
Hi seems to me that it can be done by image. See ?image. Just as illustration. mat<-matrix(sample(c(1,rep(2,10), rep(3,50)), 1000, replace=T), 100,100) for(i in 1:6) mat[i,c(1:(50-5*i),(50+5*i):100)]<-NA for(i in 14:9) mat[i,c(1:(50-5*(15-i)),(50+5*(15-i)):100)]<-NA image(1:100,1:100,mat) HTH Petr On 4 Aug 2006 at 15:12, Gichangi, Anthony wrote: From: "Gichangi, Anthony" <anthony at stat.sdu.dk> To: "R-help" <r-help at stat.math.ethz.ch> Date sent: Fri, 4 Aug 2006 15:12:36 +0200 Subject: [R] plotting picture data> Hi R users > > I have a dataset which represents points that are market by patients > as the source of pain. Basically the patients indicates by a cross on > a chest pictures where he/she thinks is the source of pain. The data > was then digitalized by divinding the chest into small squares and > each square was give value 1 if it was the center 2 if it was touched > by the markings and 3 if it was not touched. I would like to plot > this data on the chest like graph showing the intesities of different > points and later stratify the grouping variables to see the > difference. > > Has anybody got an idea how I can go around this ? > > Help is highly appreciated. > > Regards > > Anthony Gichangi, M. sc. > Department of Statistics. > JB. Winsl?vej 9B, > DK 5000 Odense C. > Tel: 00 45 6550 3379 > Mobile: 00 45 61105805 > > ______________________________________________ > R-help at stat.math.ethz.ch 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.Petr Pikal petr.pikal at precheza.cz