Sorry, I taught I attached the cvs file :)
Don, I tried, but I got an error: > my.data$Region [1] 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 > my.data$sample [1] 50 50 50 50 50 50 50 50 50 50 250 250 250 250 250 250 250 250 250 250 1000 1000 1000 1000 1000 1000 1000 1000 [29] 1000 1000 > my.data$factor.a [1] 0.895 0.811 0.685 0.777 0.600 0.466 0.446 0.392 0.256 0.198 0.136 0.121 0.875 0.777 0.685 0.626 0.550 0.466 0.384 0.330 0.060 0.138 0.065 [24] 0.034 0.931 0.124 0.060 0.028 0.017 0.014 > plot(my.data$Region[my.data$sample==50],my.data$factor.a[my.data$sample==50],col=4,type=“l”,xlab=“Region”,ylab=“factor") Error: unexpected input in "plot(my.data$Region[my.data$sample==50],my.data$factor.a[my.data$sample==50],col=4,type=�” I’m really naive, right? Best, RO Atenciosamente, Rosa Oliveira -- ____________________________________________________________________________ Rosa Celeste dos Santos Oliveira, E-mail: rosit...@gmail.com Tlm: +351 939355143 Linkedin: https://pt.linkedin.com/in/rosacsoliveira ____________________________________________________________________________ "Many admire, few know" Hippocrates > On 10 Jun 2015, at 18:10, Don McKenzie <d...@u.washington.edu> wrote: > > For a legend, try (untested) > > legend(0.15,0.9,c("factora","factorb","factorc"),col=c(4,2,3),lty=1) > > If it overlaps data points move the first two arguments (0.15 and 0.9) > around, or change the “ylim” argument in the plot() to ~1.2. > > to avoid clutter, put the line-types information in the figure caption (IMO) > > >> On Jun 10, 2015, at 10:03 AM, Don McKenzie <d...@u.washington.edu >> <mailto:d...@u.washington.edu>> wrote: >> >> >>> On Jun 10, 2015, at 9:08 AM, Rosa Oliveira <rosit...@gmail.com >>> <mailto:rosit...@gmail.com>> wrote: >>> >>> Dear All, >>> >>> >>> I attach my data. >>> >>> Dear Jim, >>> >>> when I run your code (even the one you send me, not in my data), I get: >>> >>> Don't know how to automatically pick scale for object of type function. >>> Defaulting to continuous >>> Error in data.frame(x = c(0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1, : >>> arguments imply differing number of rows: 24, 0 >>> >>> >>> >>> Dear Don, >>> >>> It’s meant that I will have 12 lines: >>> 3 factors - lines colors >>> with 3 different values of “sample” for each - line types >>> >>> >>> [Three colors, one for each factor, >>> and three line types (lty=1,2,3), one for eachvalue of “sample - >>> preferable dash, thin and thick). >>> >>> >>> in the X - I should have region (because I have 10 regions) >>> for each region I have the outcome of 3 different treatments (factor) >>> for each region and each treatment I have 3 different sample size. >> >> But in your original post you had 4 sample sizes: 10,20,30,40. >>> >>> I need to “see” the the influence of the region in the treatment outcome >>> for each sample size. >>> >>> So, at the end I should have 9 lines >>> 3 red (1 dash, 1 thin, 1 thick) - concerning factor a (dash for sample size >>> 50, thin for sample size 250 and thick for sample size 1000) >>> 3 blue (1 dash, 1 thin, 1 thick) - concerning factor b (dash for sample >>> size 50, thin for sample size 250 and thick for sample size 1000) >>> 3 green (1 dash, 1 thin, 1 thick) - concerning factor c (dash for sample >>> size 50, thin for sample size 250 and thick for sample size 1000) >>> >>> >>> >>> Hope this time is clear. >>> >>> >>> I also though about doing 3 different graphs, each one for 1 different >>> sample size, and in that case I should have 3 graphs each one with 3 lines >>> 1 red to factor a, 1 blue to factor b and 1 green to factor c. >>> >>> Do you all think is better? >> >> A matter of style perhaps but I would use dotplots because you have only two >> data points for each “line”. The lines will be misleading. You also could >> use >> panel plots, but given your skill set (unless someone wants to spend a fair >> bit of time with you), it’s probably best to stay as simple as possible. >> >> But given your original post (cleaned up) # untested: apologies for any >> typos >> >>> region sample factora factorb >>> factorc >>> 0.1 10 0.895 0.903 >>> 0.378 >>> 0.2 10 0.811 0.865 >>> 0.688 >>> 0.1 20 0.735 0.966 >>> 0.611 >>> 0.2 20 0.777 0.732 >>> 0.653 >>> 0.1 30 0.600 0.778 >>> 0.694 >>> 0.2 30 0.466 174.592 >>> 0.461 >>> 0.1 40 0.446 0.432 >>> 0.693 >>> 0.2 40 0.392 0.294 >>> 0.686 >> >> >> plot(my.data$region[my.data$sample==10],my.data$factora[my.data$sample==10],col=4,type=“l”,ylim=c(0,1),xlab=“region”,ylab=“factor") >> lines(my.data$region[my.data$sample==10],my.data$factorb[my.data$sample==10],col=2) >> lines(my.data$region[my.data$sample==10],my.data$factorc[my.data$sample==10],col=3) >> >> lines(my.data$region[my.data$sample==20],my.data$factora[my.data$sample==20],col=4,lty=2) >> lines(my.data$region[my.data$sample==20],my.data$factorb[my.data$sample==20],col=2,lty=2) >> lines(my.data$region[my.data$sample==20],my.data$factorc[my.data$sample==20],col=3,lty=2) >> >> # Now do two more groups of 3, changing the parameter “lty” to 3 and then 4 >> >> >> # Look at the syntax and note what changes and what stays constant. Do you >> see how this works? >> # there will be what looks like a vertical line where sample = 30 and >> factorb = 174.592. Do you see why? >> >> # then you will need a legend >> >>> Nonetheless I can’t do it :( >>> >>> best, >>> RO >>> >>> >>> >>> Atenciosamente, >>> Rosa Oliveira >>> >>> -- >>> ____________________________________________________________________________ >>> >>> <smile.jpg> >>> Rosa Celeste dos Santos Oliveira, >>> >>> E-mail: rosit...@gmail.com <mailto:rosit...@gmail.com> >>> Tlm: +351 939355143 >>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira >>> <https://pt.linkedin.com/in/rosacsoliveira> >>> ____________________________________________________________________________ >>> "Many admire, few know" >>> Hippocrates >>> >>>> On 10 Jun 2015, at 14:13, John Kane <jrkrid...@inbox.com >>>> <mailto:jrkrid...@inbox.com>> wrote: >>>> >>>> Hi Jim, >>>> >>>> I was looking at that last night and had the same problem of visualizing >>>> what Rosa needed. >>>> >>>> Hi Rosa >>>> This is nothing like what you wanted and I really don't understand your >>>> data but would something like this work as a substitute or am I completely >>>> lost? >>>> >>>> >>>> dat1 <- structure(list(region = c(0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1, >>>> 0.2), sample = c(10L, 10L, 20L, 20L, 30L, 30L, 40L, 40L), factora = >>>> c(0.895, >>>> 0.811, 0.735, 0.777, 0.6, 0.466, 0.446, 0.392), factorb = c(0.903, >>>> 0.865, 0.966, 0.732, 0.778, 0.592, 0.432, 0.294), factorc = c(0.37, >>>> 0.688, 0.611, 0.653, 0.694, 0.461, 0.693, 0.686)), .Names = c("region", >>>> "sample", "factora", "factorb", "factorc"), class = "data.frame", >>>> row.names = c(NA, >>>> -8L)) >>>> >>>> >>>> mdat1 <- melt(dat1, id.var = c("region", "sample"), >>>> variable.name = "factor", >>>> value.name = "value") >>>> str(mdat1) >>>> >>>> ggplot(mdat1, aes(region, value, colour = factor)) + >>>> geom_line() + facet_grid(sample ~ .) >>>> >>>> John Kane >>>> Kingston ON Canada >>>> >>>> >>>>> -----Original Message----- >>>>> From: drjimle...@gmail.com <mailto:drjimle...@gmail.com> >>>>> Sent: Wed, 10 Jun 2015 20:51:52 +1000 >>>>> To: rosit...@gmail.com <mailto:rosit...@gmail.com> >>>>> Subject: Re: [R] graphs, need urgent help (deadline :( ) >>>>> >>>>> Hi Rosa, >>>>> Like Don, I can't work out what you want and I don't even have the >>>>> picture. For example, your specification of color and line type leaves >>>>> only one point for each color and line type, and the line from one >>>>> point to the same point is not going to show up. Here is a possibility >>>>> that may lead (eventually) to a solution. >>>>> >>>>> library(plotrix) >>>>> par(tcl=-0.1) >>>>> gap.plot(x=rep(seq(10,45,by=5),3), >>>>> y=unlist(my.data[,c("factora","factorb","factorc")]), >>>>> main="A plot of factorial mystery", >>>>> gap=c(1.1,174),ylim=c(0,175),ylab="factor score",xlab="Group", >>>>> xticlab=c(" \n0.1\n10"," \n0.2\n10"," \n0.1\n20"," \n0.2\n20", >>>>> " \n0.1\n30"," \n0.2\n30"," \n0.1\n40"," \n0.2\n40"), >>>>> ytics=c(0,0.5,1,174.59),pch=rep(1:3,each=8),col=rep(c(4,2,3),each=8)) >>>>> mtext(c("Region","Sample"),side=1,at=6,line=c(0,1)) >>>>> lines(seq(10,45,by=5),my.data$factora,col=4) >>>>> lines(seq(10,45,by=5),my.data$factorb[c(1:5,NA,7,8)],col=2) >>>>> lines(seq(10,45,by=5),my.data$factorc,col=3) >>>>> >>>>> Jim >>>>> >>>>> >>>>> On Wed, Jun 10, 2015 at 10:53 AM, Rosa Oliveira <rosit...@gmail.com >>>>> <mailto:rosit...@gmail.com>> >>>>> wrote: >>>>>> Dear Don and all, >>>>>> >>>>>> I’ve read the tutorial and tried several codes before posting :) >>>>>> I’m really naive. >>>>>> >>>>>> >>>>>> >>>>>> what I was trying to : is something like the graph in the picture I >>>>>> drawee. >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> Is it more clear now? >>>>>> >>>>>> Atenciosamente, >>>>>> Rosa Oliveira >>>>>> >>>>>> -- >>>>>> ____________________________________________________________________________ >>>>>> >>>>>> >>>>>> Rosa Celeste dos Santos Oliveira, >>>>>> >>>>>> E-mail: rosit...@gmail.com <mailto:rosit...@gmail.com> >>>>>> <mailto:rosit...@gmail.com <mailto:rosit...@gmail.com>> >>>>>> Tlm: +351 939355143 >>>>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira >>>>>> <https://pt.linkedin.com/in/rosacsoliveira> >>>>>> <https://pt.linkedin.com/in/rosacsoliveira >>>>>> <https://pt.linkedin.com/in/rosacsoliveira>> >>>>>> ____________________________________________________________________________ >>>>>> "Many admire, few know" >>>>>> Hippocrates >>>>>> >>>>>>> On 09 Jun 2015, at 19:23, Don McKenzie <d...@u.washington.edu >>>>>>> <mailto:d...@u.washington.edu> >>>>>>> <mailto:d...@u.washington.edu <mailto:d...@u.washington.edu>>> wrote: >>>>>>> >>>>>>> The answer lies in learning to use the help (and knowing where to >>>>>>> start). Did you look at the tutorial that comes with the R >>>>>>> installation? >>>>>>> >>>>>>> ?plot >>>>>>> ?lines >>>>>>> >>>>>>> ?par >>>>>>> >>>>>>> In the last, look for the descriptions of “col” and “lty”. >>>>>>> >>>>>>> Using plot() and lines(), and subsetting the four unique values of >>>>>>> “sample”, you can create your lines. >>>>>>> >>>>>>> Here is a crude start, assuming your columns are part of a data frame >>>>>>> called “my.data”. Untested... >>>>>>> >>>> plot(my.data$region[my.data$sample==10],my.data$factora[my.data$sample==10],col=4) >>>>>>> # blue line, not dashed >>>>>>> . >>>>>>> . >>>>>>> . >>>> lines(my.data$region[my.data$sample==20],my.data$factorb[my.data$sample==20],col=2,lty=2) >>>>>>> # red dashed line >>>>>>> >>>>>>> >>>>>>>> On Jun 9, 2015, at 10:36 AM, Rosa Oliveira <rosit...@gmail.com >>>>>>>> <mailto:rosit...@gmail.com> >>>>>>>> <mailto:rosit...@gmail.com <mailto:rosit...@gmail.com>>> wrote: >>>>>>>> >>>>>>>> Hi, >>>>>>>> >>>>>>>> another naive question (i’m pretty sure :( ) >>>>>>>> >>>>>>>> >>>>>>>> I’m trying to plot a multiple line graph: >>>>>>>> >>>>>>>> region sample factora factorb >>>>>>>> factorc >>>>>>>> 0.1 10 0.895 0.903 0.378 >>>>>>>> 0.2 10 0.811 0.865 0.688 >>>>>>>> 0.1 20 0.735 0.966 0.611 >>>>>>>> 0.2 20 0.777 0.732 0.653 >>>>>>>> 0.1 30 0.600 0.778 0.694 >>>>>>>> 0.2 30 0.466 174.592 0.461 >>>>>>>> 0.1 40 0.446 0.432 0.693 >>>>>>>> 0.2 40 0.392 0.294 0.686 >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> The first column should be the independent variable, the second should >>>>>>>> compute a bold line for sample(10) and dash line for sample 20. >>>>>>> >>>>>>> What about the other two values of “sample”? >>>>>>> >>>>>>>> The others variables are outcomes for each of the first scenarios, and >>>>>>>> so it should: the 3rd, 4th and 5th columns should be blue, red and >>>>>>>> green respectively. >>>>>>>> >>>>>>>> >>>>>>>> Resume :) >>>>>>>> >>>>>>>> I should have a graph, in the x-axe should have the region and in the >>>>>>>> y axe, the factor. >>>>>>>> Lines: >>>>>>>> 1 - blue and bold for region 0.1, sample 10 and factor a >>>>>>>> 2 - blue and dash for region 0.2, sample 10 and factor a >>>>>>>> 3 - red and bold for region 0.1, sample 10 and factor b >>>>>>>> 4 - red and dash for region 0.2, sample 10 and factor b >>>>>>>> 5 - green and bold for region 0.1, sample 10 and factor c >>>>>>>> 6 - green and dash for region 0.2, sample 10 and factor c >>>>>>> >>>>>>> Not consistent with what you said above. These are no longer lines, but >>>>>>> points. >>>>>>>> >>>>>>>> nonetheless the independent variable is nominal, I should plot a line >>>>>>>> graph. >>>>>>>> >>>>>>>> Can anyone help me please? >>>>>>>> I have my file as a cvs file, so I first read that file (that I know >>>>>>>> how to do :)). >>>>>>>> >>>>>>>> But I have it in that format. >>>>>>>> >>>>>>>> Best, >>>>>>>> RO >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> Atenciosamente, >>>>>>>> Rosa Oliveira >>>>>>>> >>>>>>>> -- >>>>>>>> ____________________________________________________________________________ >>>>>>>> >>>>>>>> >>>>>>>> Rosa Celeste dos Santos Oliveira, >>>>>>>> >>>>>>>> E-mail: rosit...@gmail.com <mailto:rosit...@gmail.com> >>>>>>>> <mailto:rosit...@gmail.com <mailto:rosit...@gmail.com>> >>>>>>>> Tlm: +351 939355143 >>>>>>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira >>>>>>>> <https://pt.linkedin.com/in/rosacsoliveira> >>>>>>>> <https://pt.linkedin.com/in/rosacsoliveira >>>>>>>> <https://pt.linkedin.com/in/rosacsoliveira>> >>>>>>>> ____________________________________________________________________________ >>>>>>>> "Many admire, few know" >>>>>>>> Hippocrates >>>>>>>> >>>>>>>> >>>>>>>> [[alternative HTML version deleted]] >>>>>>>> >>>>>>>> ______________________________________________ >>>>>>>> R-help@r-project.org <mailto:R-help@r-project.org> >>>>>>>> <mailto:R-help@r-project.org <mailto:R-help@r-project.org>> mailing >>>>>>>> list -- To >>>>>>>> UNSUBSCRIBE and more, see >>>>>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>>>>> <https://stat.ethz.ch/mailman/listinfo/r-help> >>>>>>>> <https://stat.ethz.ch/mailman/listinfo/r-help >>>>>>>> <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> >>>>>>>> <http://www.r-project.org/posting-guide.html >>>>>>>> <http://www.r-project.org/posting-guide.html>> >>>>>>>> and provide commented, minimal, self-contained, reproducible code. >>>>>>> >>>>>>> <PastedGraphic-1.tiff> >>>>>>> >>>>>> >>>>>> ______________________________________________ >>>>>> R-help@r-project.org <mailto:R-help@r-project.org> mailing list -- To >>>>>> UNSUBSCRIBE and more, see >>>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>>> <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. >>>>> >>>>> ______________________________________________ >>>>> R-help@r-project.org <mailto:R-help@r-project.org> mailing list -- To >>>>> UNSUBSCRIBE and more, see >>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>> <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. >>>> >>>> ____________________________________________________________ >>>> FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks & orcas on >>>> your desktop! >>>> Check it out at http://www.inbox.com/marineaquarium >>>> <http://www.inbox.com/marineaquarium> >>>> >>>> >>> >> >> <PastedGraphic-1.tiff> >> > > <PastedGraphic-1.tiff> > ______________________________________________ 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.
