(s/marplot/barplot) On Wed, Oct 5, 2016 at 10:35 AM, Bob Rudis <b...@rud.is> wrote:
> No need to bring in so many dependencies for a simple ggplot2 marplot: > > ds <- stack(ds) > ggplot(ds[ds$values==1,], aes(ind)) + geom_bar() > > On Wed, Oct 5, 2016 at 10:17 AM, Thierry Onkelinx < > thierry.onkel...@inbo.be> wrote: > >> Here is a ggplot2, tidyr, dplyr solution >> >> library(tidyr) >> library(dplyr) >> library(ggplot2) >> ds %>% >> gather() %>% >> group_by(key) %>% >> summarize(total = sum(value)) %>% >> ggplot(aes(x = key, y = total)) + >> geom_bar(stat = "identity") >> >> >> ir. Thierry Onkelinx >> Instituut voor natuur- en bosonderzoek / Research Institute for Nature >> and Forest >> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance >> Kliniekstraat 25 >> 1070 Anderlecht >> Belgium >> >> To call in the statistician after the experiment is done may be no more >> than asking him to perform a post-mortem examination: he may be able to say >> what the experiment died of. ~ Sir Ronald Aylmer Fisher >> The plural of anecdote is not data. ~ Roger Brinner >> The combination of some data and an aching desire for an answer does not >> ensure that a reasonable answer can be extracted from a given body of data. >> ~ John Tukey >> >> 2016-10-05 15:55 GMT+02:00 <g.maub...@weinwolf.de>: >> >>> Hi Bob, >>> Hi John, >>> Hi readers, >>> >>> many thanks for your reply. >>> >>> I did >>> >>> barplot(colSums(dataset %>% select(FirstVar:LastVar))) >>> >>> and it worked fine. >>> >>> How would I do it with ggplot2? >>> >>> Kind regards >>> >>> Georg >>> >>> >>> >>> >>> Von: "Fox, John" <j...@mcmaster.ca> >>> An: "g.maub...@weinwolf.de" <g.maub...@weinwolf.de>, >>> Kopie: "r-help@r-project.org" <r-help@r-project.org> >>> Datum: 05.10.2016 15:01 >>> Betreff: RE: [R] How to plot a bunch of dichotomous code variables >>> in one plot using ggplot2 >>> >>> >>> >>> Dear Georg, >>> >>> How about barplot(colSums(ds)) ? >>> >>> Best, >>> John >>> >>> ----------------------------- >>> John Fox, Professor >>> McMaster University >>> Hamilton, Ontario >>> Canada L8S 4M4 >>> Web: socserv.mcmaster.ca/jfox >>> >>> >>> > -----Original Message----- >>> > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of >>> > g.maub...@weinwolf.de >>> > Sent: October 5, 2016 8:47 AM >>> > To: r-help@r-project.org >>> > Subject: [R] How to plot a bunch of dichotomous code variables in one >>> plot >>> > using ggplot2 >>> > >>> > Hi All, >>> > >>> > I have a bunch of dichotomous code variables which shall be plotted in >>> one >>> > graph using one of their values, this is "1" in this case. >>> > >>> > The dataset looks like this: >>> > >>> > -- cut -- >>> > var1 <- c(1,0,1,0,0,1,1,1,0,1) >>> > var2 <- c(0,1,1,1,1,0,0,0,0,0) >>> > var3 <- c(1,1,1,1,1,1,1,1,0,1) >>> > >>> > ds <- data.frame(var1, var2, var3) >>> > -- cut -- >>> > >>> > I would like to have a bar plot like this >>> > >>> > >>> > >>> > * >>> > * >>> > * >>> > * >>> > * * >>> > * * >>> > * * * >>> > * * * >>> > * * * >>> > * * * >>> > ------------------------- >>> > var1 var2 var3 >>> > >>> > If this possible in R? If so, how can I achieve this? >>> > >>> > Kind regards >>> > >>> > Georg >>> > >>> > ______________________________________________ >>> > 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. >>> >>> ______________________________________________ >>> 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/posti >>> ng-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >>> >> >> > [[alternative HTML version deleted]] ______________________________________________ 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.
