Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
And if lattice is ok then try this: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) Or you can use ggplot: install.packages(ggplot) library(ggplot) qplot(Quarter, Consumption, data=data,type=c(point,line), id=data$Year) Unfortunately this has uncovered a couple of small bugs for me to fix (no automatic legend, and have to specify the data frame explicitly) The slighly more verbose example below shows you what it should look like. data$Year - factor(data$Year) p - ggplot(data, aes=list(x=Quarter, y=Consumption, id=Year, colour=Year)) ggline(ggpoint(p), size=2) Regards, Hadley __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
Hello, I would like to make a question regarding the use of a grey background (by ggplot in this case, but also in other settings - I seem to remember a relevant lattice discussion). It seems that it is generally discouraged by journals. I guess one practical reason is that it makes photocopying difficult (in the sense that it may lead to low contrast situations). It might have to do with printing costs, as it leads to higher coverage of the page, but I do not know about that. [Disclaimer: it does look nice, though.] Any comments? Thanks, Costas On 7/26/06, hadley wickham [EMAIL PROTECTED] wrote: And if lattice is ok then try this: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) Or you can use ggplot: install.packages(ggplot) library(ggplot) qplot(Quarter, Consumption, data=data,type=c(point,line), id=data$Year) Unfortunately this has uncovered a couple of small bugs for me to fix (no automatic legend, and have to specify the data frame explicitly) The slighly more verbose example below shows you what it should look like. data$Year - factor(data$Year) p - ggplot(data, aes=list(x=Quarter, y=Consumption, id=Year, colour=Year)) ggline(ggpoint(p), size=2) Regards, Hadley __ 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. __ 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.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
Constantinos Antoniou skreiv: I would like to make a question regarding the use of a grey background (by ggplot in this case, but also in other settings - I seem to remember a relevant lattice discussion). It seems that it is generally discouraged by journals. I guess one practical reason is that it makes photocopying difficult (in the sense that it may lead to low contrast situations). It might have to do with printing costs, as it leads to higher coverage of the page, but I do not know about that. [Disclaimer: it does look nice, though.] Any comments? Just a small one: The grey background used by ggplot does look nice; the one used by earlier versions of lattice did not. All IMHO, of course. -- Karl Ove Hufthammer E-mail and Jabber: [EMAIL PROTECTED] __ 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.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
I would like to make a question regarding the use of a grey background (by ggplot in this case, but also in other settings - I seem to remember a relevant lattice discussion). It seems that it is generally discouraged by journals. I guess one practical reason is that it makes photocopying difficult (in the sense that it may lead to low contrast situations). It might have to do with printing costs, as it leads to higher coverage of the page, but I do not know about that. [Disclaimer: it does look nice, though.] Any comments? It is very easy to change to the usual black on white grid lines (see ?ggopt and ?ggsave), so if your journal does require it, it's easy to turn off. Here are a few reasons I like the gray background (in no particular order): * you can then use white gridlines, which miniminally impinge on the plot, but still aid lookup to the relevant axis * the color of the plot more closely matches the color (in the typographic sense) of the text, so that the plot fits into a printed document without drawing so much attention to itself. * the contrast between the plot surface and the points is a little lower, which makes it a bit more pleasant to read Of course the big disadvantage is if you don't have a high quality printer, or a looking at a photocopy of a photocopy etc. This disadvantage should go away with time as the quality of printed output steadily improves. Regards, Hadley __ 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.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
Hi Hadley, Thanks for your suggestion. The description of ggplot states: Description: ... It combines the advantages of both base and lattice graphics ... and you can still build up a plot step by step from multiple data sources So I thought I'd try to enhance the plot by adding in the means from each quarter (this is snagged directly from ESS): qplot(Quarter, Consumption, data=data, type=c(point,line), id=data$Year) ( mean.per.quarter- with(data, tapply(Consumption, Quarter, mean)) ) points(mean.per.quarter, pch=+, cex=2.0) qplot(Quarter, Consumption, data=data, type=c(point,line), id=data$Year) ( mean.per.quarter- with(data, tapply(Consumption, Quarter, mean)) ) 1 2 3 4 888.2 709.2 616.4 832.8 points(mean.per.quarter, pch=+, cex=2.0) Error in plot.xy(xy.coords(x, y), type = type, ...) : plot.new has not been called yet Now I'm green behind the ears when it comes to R, so I'm guessing that there is some major conflict between base graphics and lattice graphics, which I thought ggplot avoided, given the library help blurb. I'm assuming that there must be a way to add points / lines to lattice / ggplot graphics (in the latter case it seems to be via ggpoint, or some such)? But is there a way that allows me to add via: points(mean.per.quarter, pch=+, cex=2.0) and similar, or do I have to learn the lingo for lattice / ggplot? Thanks, Jack. hadley wickham [EMAIL PROTECTED] wrote: And if lattice is ok then try this: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) Or you can use ggplot: install.packages(ggplot) library(ggplot) qplot(Quarter, Consumption, data=data,type=c(point,line), id=data$Year) Unfortunately this has uncovered a couple of small bugs for me to fix (no automatic legend, and have to specify the data frame explicitly) The slighly more verbose example below shows you what it should look like. data$Year - factor(data$Year) p - ggplot(data, aes=list(x=Quarter, y=Consumption, id=Year, colour=Year)) ggline(ggpoint(p), size=2) Regards, Hadley - [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
With the lattice package it would be done like this (where the panel.points function places large red pluses on the plot): xyplot(Consumption ~ Quarter, group = Year, data, type = o) trellis.focus(panel, 1, 1) panel.points(1:4, mean.per.quarter, pch = +, cex = 2, col = red) trellis.unfocus() On 7/26/06, John McHenry [EMAIL PROTECTED] wrote: Hi Hadley, Thanks for your suggestion. The description of ggplot states: Description: ... It combines the advantages of both base and lattice graphics ... and you can still build up a plot step by step from multiple data sources So I thought I'd try to enhance the plot by adding in the means from each quarter (this is snagged directly from ESS): qplot(Quarter, Consumption, data=data, type=c(point,line), id=data$Year) ( mean.per.quarter- with(data, tapply(Consumption, Quarter, mean)) ) points(mean.per.quarter, pch=+, cex=2.0) qplot(Quarter, Consumption, data=data, type=c(point,line), id=data$Year) ( mean.per.quarter- with(data, tapply(Consumption, Quarter, mean)) ) 1 2 3 4 888.2 709.2 616.4 832.8 points(mean.per.quarter, pch=+, cex=2.0) Error in plot.xy(xy.coords(x, y), type = type, ...) : plot.new has not been called yet Now I'm green behind the ears when it comes to R, so I'm guessing that there is some major conflict between base graphics and lattice graphics, which I thought ggplot avoided, given the library help blurb. I'm assuming that there must be a way to add points / lines to lattice / ggplot graphics (in the latter case it seems to be via ggpoint, or some such)? But is there a way that allows me to add via: points(mean.per.quarter, pch=+, cex=2.0) and similar, or do I have to learn the lingo for lattice / ggplot? Thanks, Jack. hadley wickham [EMAIL PROTECTED] wrote: And if lattice is ok then try this: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) Or you can use ggplot: install.packages(ggplot) library(ggplot) qplot(Quarter, Consumption, data=data,type=c(point,line), id=data$Year) Unfortunately this has uncovered a couple of small bugs for me to fix (no automatic legend, and have to specify the data frame explicitly) The slighly more verbose example below shows you what it should look like. data$Year - factor(data$Year) p - ggplot(data, aes=list(x=Quarter, y=Consumption, id=Year, colour=Year)) ggline(ggpoint(p), size=2) Regards, Hadley - [[alternative HTML version deleted]] __ 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. __ 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.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
Gabor, Your suggestion: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) is very elegant indeed. Thanks, Jack. Gabor Grothendieck [EMAIL PROTECTED] wrote: And if lattice is ok then try this: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) On 7/24/06, Gabor Grothendieck wrote: Try: matplot(levels(data$Quarter), matrix(data$Consumption, 4), type = o) On 7/24/06, John McHenry wrote: Hi WizaRds, I'd like to overplot UK fuel consumption per quarter over the course of five years. Sounds simple enough? Unless I'm missing something, the following seems very involved for what I'm trying to do. Any suggestions on simplifications? The way I did it is awkward mainly because of the first call to plot ... but isn't this necessary, especially to set limits for the plot? The second call to plot(), in conjunction with by(), seems to be natural enough, and, IMHO, seems to be readable and succinct. data- read.table(textConnection(YearQuarterConsumption 19651874 19652679 19653616 19654816 19661866 19662700 19663603 19664814 19671843 19672719 19673594 19674819 19681906 19682703 19683634 19684844 19691952 19692745 19693635 19694871), header=TRUE) data$Quarter- as.factor(data$Quarter) # # what follows is only marginally less involved than using a for loop # (the culprit is, in part, the need to make the first, type=n, call to plot()): windows(width=12,height=6) with(data, plot(levels(Quarter), Consumption[Year==Year[1]], ylim=c(min(Consumption), max(Consumption)), type=n)) with(data, by(Consumption, Year, function(x) lines(levels(Quarter), x, type=o))) Thanks, Jack. - Groups are talking. We�re listening. Check out the handy changes to Yahoo! Groups. [[alternative HTML version deleted]] __ 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. - [[alternative HTML version deleted]] __ 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.
[R] Overplotting: plot() invocation looks ugly ... suggestions?
Hi WizaRds, I'd like to overplot UK fuel consumption per quarter over the course of five years. Sounds simple enough? Unless I'm missing something, the following seems very involved for what I'm trying to do. Any suggestions on simplifications? The way I did it is awkward mainly because of the first call to plot ... but isn't this necessary, especially to set limits for the plot? The second call to plot(), in conjunction with by(), seems to be natural enough, and, IMHO, seems to be readable and succinct. data- read.table(textConnection(YearQuarterConsumption 19651874 19652679 19653616 19654816 19661866 19662700 19663603 19664814 19671843 19672719 19673594 19674819 19681906 19682703 19683634 19684844 19691952 19692745 19693635 19694871), header=TRUE) data$Quarter- as.factor(data$Quarter) # # what follows is only marginally less involved than using a for loop # (the culprit is, in part, the need to make the first, type=n, call to plot()): windows(width=12,height=6) with(data, plot(levels(Quarter), Consumption[Year==Year[1]], ylim=c(min(Consumption), max(Consumption)), type=n)) with(data, by(Consumption, Year, function(x) lines(levels(Quarter), x, type=o))) Thanks, Jack. - Groups are talking. Weacute;re listening. Check out the handy changes to Yahoo! Groups. [[alternative HTML version deleted]] __ 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.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
Try: matplot(levels(data$Quarter), matrix(data$Consumption, 4), type = o) On 7/24/06, John McHenry [EMAIL PROTECTED] wrote: Hi WizaRds, I'd like to overplot UK fuel consumption per quarter over the course of five years. Sounds simple enough? Unless I'm missing something, the following seems very involved for what I'm trying to do. Any suggestions on simplifications? The way I did it is awkward mainly because of the first call to plot ... but isn't this necessary, especially to set limits for the plot? The second call to plot(), in conjunction with by(), seems to be natural enough, and, IMHO, seems to be readable and succinct. data- read.table(textConnection(YearQuarterConsumption 19651874 19652679 19653616 19654816 19661866 19662700 19663603 19664814 19671843 19672719 19673594 19674819 19681906 19682703 19683634 19684844 19691952 19692745 19693635 19694871), header=TRUE) data$Quarter- as.factor(data$Quarter) # # what follows is only marginally less involved than using a for loop # (the culprit is, in part, the need to make the first, type=n, call to plot()): windows(width=12,height=6) with(data, plot(levels(Quarter), Consumption[Year==Year[1]], ylim=c(min(Consumption), max(Consumption)), type=n)) with(data, by(Consumption, Year, function(x) lines(levels(Quarter), x, type=o))) Thanks, Jack. - Groups are talking. We´re listening. Check out the handy changes to Yahoo! Groups. [[alternative HTML version deleted]] __ 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. __ 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.
Re: [R] Overplotting: plot() invocation looks ugly ... suggestions?
And if lattice is ok then try this: library(lattice) xyplot(Consumption ~ Quarter, group = Year, data, type = o) On 7/24/06, Gabor Grothendieck [EMAIL PROTECTED] wrote: Try: matplot(levels(data$Quarter), matrix(data$Consumption, 4), type = o) On 7/24/06, John McHenry [EMAIL PROTECTED] wrote: Hi WizaRds, I'd like to overplot UK fuel consumption per quarter over the course of five years. Sounds simple enough? Unless I'm missing something, the following seems very involved for what I'm trying to do. Any suggestions on simplifications? The way I did it is awkward mainly because of the first call to plot ... but isn't this necessary, especially to set limits for the plot? The second call to plot(), in conjunction with by(), seems to be natural enough, and, IMHO, seems to be readable and succinct. data- read.table(textConnection(YearQuarterConsumption 19651874 19652679 19653616 19654816 19661866 19662700 19663603 19664814 19671843 19672719 19673594 19674819 19681906 19682703 19683634 19684844 19691952 19692745 19693635 19694871), header=TRUE) data$Quarter- as.factor(data$Quarter) # # what follows is only marginally less involved than using a for loop # (the culprit is, in part, the need to make the first, type=n, call to plot()): windows(width=12,height=6) with(data, plot(levels(Quarter), Consumption[Year==Year[1]], ylim=c(min(Consumption), max(Consumption)), type=n)) with(data, by(Consumption, Year, function(x) lines(levels(Quarter), x, type=o))) Thanks, Jack. - Groups are talking. We´re listening. Check out the handy changes to Yahoo! Groups. [[alternative HTML version deleted]] __ 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. __ 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.
