Rui Barradas
2021-Aug-17 11:09 UTC
[R] Including percentage values inside columns of a histogram
Hello,
I had forgotten about plot.histogram, it does make everything simpler.
To have percentages on the bars, in the code below I use package scales.
Note that it seems to me that you do not want densities, to have
percentages, the proportions of counts are given by any of
h$counts/sum(h$counts)
h$density*diff(h$breaks)
# One histogram for all dates
h <- hist(datasetregs$Amount, plot = FALSE)
plot(h, labels = scales::percent(h$counts/sum(h$counts)),
ylim = c(0, 1.1*max(h$counts)))
# Histograms by date
sp <- split(datasetregs, datasetregs$Date)
old_par <- par(mfrow = c(1, 3))
h_list <- lapply(seq_along(sp), function(i){
hist_title <- paste("Histogram of", names(sp)[i])
h <- hist(sp[[i]]$Amount, plot = FALSE)
plot(h, main = hist_title, xlab = "Amount",
labels = scales::percent(h$counts/sum(h$counts)),
ylim = c(0, 1.1*max(h$counts)))
})
par(old_par)
Hope this helps,
Rui Barradas
?s 01:49 de 17/08/21, Bert Gunter escreveu:> I may well misunderstand, but proffered solutions seem more complicated
> than necessary.
> Note that the return of hist() can be saved as a list of class
"histogram"
> and then plotted with plot.histogram(), which already has a
"labels"
> argument that seems to be what you want. A simple example is"
>
> dat <- runif(50, 0, 10)
> myhist <- hist(dat, freq = TRUE, breaks ="Sturges")
>
> plot(myhist, col = "darkgray",
> labels = as.character(round(myhist$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]]
>
> ______________________________________________
> 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.
>
Bert Gunter
2021-Aug-17 18:28 UTC
[R] Including percentage values inside columns of a histogram
Inline below. On Tue, Aug 17, 2021 at 4:09 AM Rui Barradas <ruipbarradas at sapo.pt> wrote:> > Hello, > > I had forgotten about plot.histogram, it does make everything simpler. > To have percentages on the bars, in the code below I use package scales. > > Note that it seems to me that you do not want densities, to have > percentages, the proportions of counts are given by any ofUnder the default of equal width bins -- which is what Sturges gives if I read the docs correctly -- since the densities sum to 1, they are already the proportion of counts in each histogram bin, no? -- Bert> > h$counts/sum(h$counts) > h$density*diff(h$breaks) > > > > # One histogram for all dates > h <- hist(datasetregs$Amount, plot = FALSE) > plot(h, labels = scales::percent(h$counts/sum(h$counts)), > ylim = c(0, 1.1*max(h$counts))) > > > > # Histograms by date > sp <- split(datasetregs, datasetregs$Date) > old_par <- par(mfrow = c(1, 3)) > h_list <- lapply(seq_along(sp), function(i){ > hist_title <- paste("Histogram of", names(sp)[i]) > h <- hist(sp[[i]]$Amount, plot = FALSE) > plot(h, main = hist_title, xlab = "Amount", > labels = scales::percent(h$counts/sum(h$counts)), > ylim = c(0, 1.1*max(h$counts))) > }) > par(old_par) > > > Hope this helps, > > Rui Barradas > > ?s 01:49 de 17/08/21, Bert Gunter escreveu: > > 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]] > > > > ______________________________________________ > > 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. > >