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]]