Thanks John! My eyes aren't good enough to see that. I actually checked (I thought). This was the default window on Mac console, for others who might care.
Sent from my iPad > On Jun 10, 2015, at 6:17 PM, John Kane <jrkrid...@inbox.com> wrote: > > You have curly quotes rather than plain ones here : > col=4,type=“l”,xlab=“Region”,ylab=“factor") > > > > John Kane > Kingston ON Canada > > -----Original Message----- > From: d...@u.washington.edu > Sent: Wed, 10 Jun 2015 11:32:59 -0700 > To: rosit...@gmail.com > Subject: Re: [R] graphs, need urgent help (deadline :( ) > > You were caught by a mysterious issue that I don’t understand either. > > plot(therapy.df$Region[therapy.df$sample==50],therapy.df$factor.a[therapy.df$sample==50],col=4,type=“l”,xlab=“Region”,ylab=“factor") > > Error: unexpected input in > "plot(therapy.df$Region[therapy.df$sample==50],therapy.df$factor.a[therapy.df$sample==50],col=4,type=‚” > > but if I change the order of arguments to plot(), it’s fine > > plot(therapy.df$Region[therapy.df$sample==50],therapy.df$factor.a[therapy.df$sample==50],type="l",col=4,xlab="Region",ylab="factor”) > > I don’t know what to tell you. If someone wiser than I is still reading, > maybe s(he) can explain. Possibly a bug has crept into the call to “par”, > but “bugs" suspected by non-experts like me usually turn out to be naive user > errors. > > For your purposes, use the one that works. :-) > > On Jun 10, 2015, at 11:03 AM, Rosa Oliveira <rosit...@gmail.com> wrote: > > Sorry, > > I taught I attached the cvs file :) > > <therapy.csv> > > 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 > > -- > ____________________________________________________________________________ > > <smile.jpg> > > Rosa Celeste dos Santos Oliveira, > > E-mail: 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 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> wrote: > > On Jun 10, 2015, at 9:08 AM, Rosa Oliveira <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 > 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> 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 > Sent: Wed, 10 Jun 2015 20:51:52 +1000 > To: 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> > 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> > 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>> 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>> 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> > 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> 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 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 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> > > ____________________________________________________________ > Can't remember your password? Do you need a strong and secure password? > Use Password manager! It stores your passwords & protects your account. > Check it out at http://mysecurelogon.com/manager > > ______________________________________________ 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.
