Paul Bernal
2021-Aug-16 23:14 UTC
[R] Including percentage values inside columns of a histogram
Dear Jim, Thank you so much for your kind reply. Yes, this is what I am looking for, however, can?t see clearly how the bars correspond to the bins in the x-axis. Maybe there is a way to align the amounts so that they match the columns, sorry if I sound picky, but just want to learn if there is a way to accomplish this. Best regards, Paul El lun, 16 ago 2021 a las 17:57, Jim Lemon (<drjimlemon at gmail.com>) escribi?:> Hi Paul, > I just worked out your first request: > > datasetregs<-<-structure(list(Date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, > 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > 3L, 3L, 3L), .Label = c("AF 2017", "AF 2020", "AF 2021"), class > "factor"), > Amount = c(40100, 101100, 35000, 40100, 15000, 45100, 40200, > 15000, 35000, 35100, 20300, 40100, 15000, 67100, 17100, 15000, > 15000, 50100, 35100, 15000, 15000, 15000, 15000, 15000, 15000, > 15000, 15000, 15000, 15000, 15000, 15000, 15000, 15000, 15000, > 15000, 15000, 20100, 15000, 15000, 15000, 15000, 15000, 15000, > 16600, 15000, 15000, 15700, 15000, 15000, 15000, 15000, 15000, > 15000, 15000, 15000, 15000, 20200, 21400, 25100, 15000, 15000, > 15000, 15000, 15000, 15000, 25600, 15000, 15000, 15000, 15000, > 15000, 15000, 15000, 15000)), row.names = c(NA, -74L), class > "data.frame") > histval<-with(datasetregs, hist(Amount, groups=Date, scale="frequency", > breaks="Sturges", col="darkgray")) > library(plotrix) > histpcts<-paste0(round(100*histval$counts/sum(histval$counts),1),"%") > barlabels(histval$mids,histval$counts,histpcts) > > I think that's what you asked for: > > Jim > > On Tue, Aug 17, 2021 at 8:44 AM Paul Bernal <paulbernal07 at gmail.com> > wrote: > > > > This is way better, now, how could I put the frequency labels in the > > columns as a percentage, instead of presenting them as counts? > > > > Thank you so much. > > > > Paul > > > > El lun, 16 ago 2021 a las 17:33, Rui Barradas (<ruipbarradas at sapo.pt>) > > escribi?: > > > > > Hello, > > > > > > You forgot to cc the list. > > > > > > Here are two ways, both of them apply hist() and text() to Amount split > > > by Date. The return value of hist is saved because it's a list with > > > members the histogram's bars midpoints and the counts. Those are used > to > > > know where to put the text labels. > > > A vector lbls is created to get rid of counts of zero. > > > > > > The main difference between the two ways is the histogram's titles. > > > > > > > > > old_par <- par(mfrow = c(1, 3)) > > > h_list <- with(datasetregs, tapply(Amount, Date, function(x){ > > > h <- hist(x) > > > lbls <- ifelse(h$counts == 0, NA_integer_, h$counts) > > > text(h$mids, h$counts/2, labels = lbls) > > > })) > > > par(old_par) > > > > > > > > > > > > old_par <- par(mfrow = c(1, 3)) > > > sp <- split(datasetregs, datasetregs$Date) > > > h_list <- lapply(seq_along(sp), function(i){ > > > hist_title <- paste("Histogram of", names(sp)[i]) > > > h <- hist(sp[[i]]$Amount, main = hist_title) > > > lbls <- ifelse(h$counts == 0, NA_integer_, h$counts) > > > text(h$mids, h$counts/2, labels = lbls) > > > }) > > > par(old_par) > > > > > > > > > Hope this helps, > > > > > > Rui Barradas > > > > > > ?s 23:16 de 16/08/21, Paul Bernal escreveu: > > > > Dear Rui, > > > > > > > > The hist() function comes from the graphics package, from what I > could > > > > see. The thing is that I want to divide the Amount column into > several > > > > bins and then generate three different histograms, one for each AF > > > > period (AF refers to fiscal years). As you can see, the data contains > > > > three fiscal years (2017, 2020 and 2021). I want to see the > percentage > > > > of cases that fall into different amount categories, from 15,000 and > > > > below, 16,000 to 17,000, from 18,000 to 19,000, and so on. > > > > > > > > Thanks for your kind help. > > > > > > > > Paul > > > > > > > > El lun, 16 ago 2021 a las 17:07, Rui Barradas (<ruipbarradas at sapo.pt > > > > <mailto:ruipbarradas at sapo.pt>>) escribi?: > > > > > > > > Hello, > > > > > > > > The function Hist comes from what package? > > > > > > > > Are you sure you don't want a bar plot? > > > > > > > > > > > > agg <- aggregate(Amount ~ Date, datasetregs, sum) > > > > bp <- barplot(Amount ~ Date, agg) > > > > with(agg, text(bp, Amount/2, labels = Amount)) > > > > > > > > > > > > Hope this helps, > > > > > > > > Rui Barradas > > > > > > > > ?s 22:54 de 16/08/21, Paul Bernal escreveu: > > > > > Hello everyone, > > > > > > > > > > I am currently working with R version 4.1.0 and I am trying to > > > > include > > > > > (inside the columns of the histogram), the percentage > > > > distribution and I > > > > > want to generate three histograms, one for each fiscal year > (in > > > > the Date > > > > > column, there are three fiscal year AF 2017, AF 2020 and AF > > > > 2021). However, > > > > > I can?t seem to accomplish this. > > > > > > > > > > Here is my data: > > > > > > > > > > structure(list(Date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, > > > > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, > > > > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, > > > > > 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > 3L, > > > > > 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > 3L, > > > > > 3L, 3L, 3L), .Label = c("AF 2017", "AF 2020", "AF 2021"), > class > > > > > "factor"), > > > > > Amount = c(40100, 101100, 35000, 40100, 15000, 45100, > 40200, > > > > > 15000, 35000, 35100, 20300, 40100, 15000, 67100, 17100, > > > 15000, > > > > > 15000, 50100, 35100, 15000, 15000, 15000, 15000, 15000, > > > 15000, > > > > > 15000, 15000, 15000, 15000, 15000, 15000, 15000, 15000, > > > 15000, > > > > > 15000, 15000, 20100, 15000, 15000, 15000, 15000, 15000, > > > 15000, > > > > > 16600, 15000, 15000, 15700, 15000, 15000, 15000, 15000, > > > 15000, > > > > > 15000, 15000, 15000, 15000, 20200, 21400, 25100, 15000, > > > 15000, > > > > > 15000, 15000, 15000, 15000, 25600, 15000, 15000, 15000, > > > 15000, > > > > > 15000, 15000, 15000, 15000)), row.names = c(NA, -74L), > class > > > > > > > > "data.frame") > > > > > > > > > > I would like to modify the following script: > > > > > > > > > >> with(datasetregs, Hist(Amount, groups=Date, > scale="frequency", > > > > > + breaks="Sturges", col="darkgray")) > > > > > > > > > > #The only thing missing here are the percentages > corresponding to > > > > each bin > > > > > (I would like to see the percentages inside each column, or on > > > > top outside > > > > > if possible) > > > > > > > > > > Any help will be greatly appreciated. > > > > > > > > > > Best regards, > > > > > > > > > > Paul. > > > > > > > > > > [[alternative HTML version deleted]] > > > > > > > > > > ______________________________________________ > > > > > R-help at r-project.org <mailto:R-help at 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. > > > > > > > > > > > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at 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. >[[alternative HTML version deleted]]
Bert Gunter
2021-Aug-17 00:49 UTC
[R] Including percentage values inside columns of a histogram
I may well misunderstand, but proffered solutions seem more complicated than necessary. Note that the return of hist() can be saved as a list of class "histogram" and then plotted with plot.histogram(), which already has a "labels" argument that seems to be what you want. A simple example is" dat <- runif(50, 0, 10) myhist <- hist(dat, freq = TRUE, breaks ="Sturges") plot(myhist, col = "darkgray", labels = as.character(round(myhist$density*100,1) ), ylim = c(0, 1.1*max(myhist$counts))) ## note that this is plot.histogram because myhist has class "histogram" Note that I expanded the y axis a bit to be sure to include the labels. You can, of course, plot your separate years as Rui has indicated or via e.g. ?layout. Apologies if I have misunderstood. Just ignore this in that case. Otherwise, I leave it to you to fill in details. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Aug 16, 2021 at 4:14 PM Paul Bernal <paulbernal07 at gmail.com> wrote:> Dear Jim, > > Thank you so much for your kind reply. Yes, this is what I am looking for, > however, can?t see clearly how the bars correspond to the bins in the > x-axis. Maybe there is a way to align the amounts so that they match the > columns, sorry if I sound picky, but just want to learn if there is a way > to accomplish this. > > Best regards, > > Paul > > El lun, 16 ago 2021 a las 17:57, Jim Lemon (<drjimlemon at gmail.com>) > escribi?: > > > Hi Paul, > > I just worked out your first request: > > > > datasetregs<-<-structure(list(Date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, > > 2L, > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > > 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > > 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > > 3L, 3L, 3L), .Label = c("AF 2017", "AF 2020", "AF 2021"), class > > "factor"), > > Amount = c(40100, 101100, 35000, 40100, 15000, 45100, 40200, > > 15000, 35000, 35100, 20300, 40100, 15000, 67100, 17100, 15000, > > 15000, 50100, 35100, 15000, 15000, 15000, 15000, 15000, 15000, > > 15000, 15000, 15000, 15000, 15000, 15000, 15000, 15000, 15000, > > 15000, 15000, 20100, 15000, 15000, 15000, 15000, 15000, 15000, > > 16600, 15000, 15000, 15700, 15000, 15000, 15000, 15000, 15000, > > 15000, 15000, 15000, 15000, 20200, 21400, 25100, 15000, 15000, > > 15000, 15000, 15000, 15000, 25600, 15000, 15000, 15000, 15000, > > 15000, 15000, 15000, 15000)), row.names = c(NA, -74L), class > > "data.frame") > > histval<-with(datasetregs, hist(Amount, groups=Date, scale="frequency", > > breaks="Sturges", col="darkgray")) > > library(plotrix) > > histpcts<-paste0(round(100*histval$counts/sum(histval$counts),1),"%") > > barlabels(histval$mids,histval$counts,histpcts) > > > > I think that's what you asked for: > > > > Jim > > > > On Tue, Aug 17, 2021 at 8:44 AM Paul Bernal <paulbernal07 at gmail.com> > > wrote: > > > > > > This is way better, now, how could I put the frequency labels in the > > > columns as a percentage, instead of presenting them as counts? > > > > > > Thank you so much. > > > > > > Paul > > > > > > El lun, 16 ago 2021 a las 17:33, Rui Barradas (<ruipbarradas at sapo.pt>) > > > escribi?: > > > > > > > Hello, > > > > > > > > You forgot to cc the list. > > > > > > > > Here are two ways, both of them apply hist() and text() to Amount > split > > > > by Date. The return value of hist is saved because it's a list with > > > > members the histogram's bars midpoints and the counts. Those are used > > to > > > > know where to put the text labels. > > > > A vector lbls is created to get rid of counts of zero. > > > > > > > > The main difference between the two ways is the histogram's titles. > > > > > > > > > > > > old_par <- par(mfrow = c(1, 3)) > > > > h_list <- with(datasetregs, tapply(Amount, Date, function(x){ > > > > h <- hist(x) > > > > lbls <- ifelse(h$counts == 0, NA_integer_, h$counts) > > > > text(h$mids, h$counts/2, labels = lbls) > > > > })) > > > > par(old_par) > > > > > > > > > > > > > > > > old_par <- par(mfrow = c(1, 3)) > > > > sp <- split(datasetregs, datasetregs$Date) > > > > h_list <- lapply(seq_along(sp), function(i){ > > > > hist_title <- paste("Histogram of", names(sp)[i]) > > > > h <- hist(sp[[i]]$Amount, main = hist_title) > > > > lbls <- ifelse(h$counts == 0, NA_integer_, h$counts) > > > > text(h$mids, h$counts/2, labels = lbls) > > > > }) > > > > par(old_par) > > > > > > > > > > > > Hope this helps, > > > > > > > > Rui Barradas > > > > > > > > ?s 23:16 de 16/08/21, Paul Bernal escreveu: > > > > > Dear Rui, > > > > > > > > > > The hist() function comes from the graphics package, from what I > > could > > > > > see. The thing is that I want to divide the Amount column into > > several > > > > > bins and then generate three different histograms, one for each AF > > > > > period (AF refers to fiscal years). As you can see, the data > contains > > > > > three fiscal years (2017, 2020 and 2021). I want to see the > > percentage > > > > > of cases that fall into different amount categories, from 15,000 > and > > > > > below, 16,000 to 17,000, from 18,000 to 19,000, and so on. > > > > > > > > > > Thanks for your kind help. > > > > > > > > > > Paul > > > > > > > > > > El lun, 16 ago 2021 a las 17:07, Rui Barradas (< > ruipbarradas at sapo.pt > > > > > <mailto:ruipbarradas at sapo.pt>>) escribi?: > > > > > > > > > > Hello, > > > > > > > > > > The function Hist comes from what package? > > > > > > > > > > Are you sure you don't want a bar plot? > > > > > > > > > > > > > > > agg <- aggregate(Amount ~ Date, datasetregs, sum) > > > > > bp <- barplot(Amount ~ Date, agg) > > > > > with(agg, text(bp, Amount/2, labels = Amount)) > > > > > > > > > > > > > > > Hope this helps, > > > > > > > > > > Rui Barradas > > > > > > > > > > ?s 22:54 de 16/08/21, Paul Bernal escreveu: > > > > > > Hello everyone, > > > > > > > > > > > > I am currently working with R version 4.1.0 and I am trying > to > > > > > include > > > > > > (inside the columns of the histogram), the percentage > > > > > distribution and I > > > > > > want to generate three histograms, one for each fiscal year > > (in > > > > > the Date > > > > > > column, there are three fiscal year AF 2017, AF 2020 and AF > > > > > 2021). However, > > > > > > I can?t seem to accomplish this. > > > > > > > > > > > > Here is my data: > > > > > > > > > > > > structure(list(Date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, > 2L, > > > > > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > > 2L, > > > > > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > > 2L, > > > > > > 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > > 3L, > > > > > > 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, > > 3L, > > > > > > 3L, 3L, 3L), .Label = c("AF 2017", "AF 2020", "AF 2021"), > > class > > > > > > "factor"), > > > > > > Amount = c(40100, 101100, 35000, 40100, 15000, 45100, > > 40200, > > > > > > 15000, 35000, 35100, 20300, 40100, 15000, 67100, 17100, > > > > 15000, > > > > > > 15000, 50100, 35100, 15000, 15000, 15000, 15000, 15000, > > > > 15000, > > > > > > 15000, 15000, 15000, 15000, 15000, 15000, 15000, 15000, > > > > 15000, > > > > > > 15000, 15000, 20100, 15000, 15000, 15000, 15000, 15000, > > > > 15000, > > > > > > 16600, 15000, 15000, 15700, 15000, 15000, 15000, 15000, > > > > 15000, > > > > > > 15000, 15000, 15000, 15000, 20200, 21400, 25100, 15000, > > > > 15000, > > > > > > 15000, 15000, 15000, 15000, 25600, 15000, 15000, 15000, > > > > 15000, > > > > > > 15000, 15000, 15000, 15000)), row.names = c(NA, -74L), > > class > > > > > > > > > > "data.frame") > > > > > > > > > > > > I would like to modify the following script: > > > > > > > > > > > >> with(datasetregs, Hist(Amount, groups=Date, > > scale="frequency", > > > > > > + breaks="Sturges", col="darkgray")) > > > > > > > > > > > > #The only thing missing here are the percentages > > corresponding to > > > > > each bin > > > > > > (I would like to see the percentages inside each column, or > on > > > > > top outside > > > > > > if possible) > > > > > > > > > > > > Any help will be greatly appreciated. > > > > > > > > > > > > Best regards, > > > > > > > > > > > > Paul. > > > > > > > > > > > > [[alternative HTML version deleted]] > > > > > > > > > > > > ______________________________________________ > > > > > > R-help at r-project.org <mailto:R-help at 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. > > > > > > > > > > > > > > > > > > > > > [[alternative HTML version deleted]] > > > > > > ______________________________________________ > > > R-help at 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. > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >[[alternative HTML version deleted]]