[R] Plotting factors in graph panel
Anupam Tyagi
@nupty@g| @end|ng |rom gm@||@com
Wed Jul 12 05:27:44 CEST 2023
Thanks.
I made a graph in Stata that is close to what I want in R. Stata graph is
attached. The main differences between Stata and R graphs that I was able
to make, with ggplot or lattice, is that I have been able to scale y-axis
of each sub-graph independently in Stata, but not in R. Also, x-axis labels
are also complete in Stata but not in R. Is there a way to do this in R via
base-R, ggplot or lattice? I had initially thought that these types of
panel graphs are common and should be easy to do, but that is not how this
is turning out to be. Any help is welcome.
On Fri, 7 Jul 2023 at 17:57, PIKAL Petr <petr.pikal using precheza.cz> wrote:
> Hallo Anupam
>
> With
>
> ggplot change axis label size into Google
>
> the first answer I got was
>
> axis.text theme
>
> r - Change size of axes title and labels in ggplot2 - Stack Overflow
> <https://stackoverflow.com/questions/14942681/change-size-of-axes-title-and-labels-in-ggplot2>
>
>
>
> so
>
>
>
> ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) + geom_point()
> +
> geom_line() + facet_wrap(~Measure) +
> theme(axis.text=element_text(size=5))
>
>
>
> Should do the trick.
>
>
>
> S pozdravem | Best Regards
>
>
> *RNDr. Petr PIKAL*Vedoucí Výzkumu a vývoje | Research Manager
>
>
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>
> *From:* Anupam Tyagi <anuptyagi using gmail.com>
> *Sent:* Friday, July 7, 2023 12:48 PM
> *To:* PIKAL Petr <petr.pikal using precheza.cz>
> *Cc:* r-help using r-project.org
> *Subject:* Re: [R] Plotting factors in graph panel
>
>
>
> Thanks! You are correct, the graphs look very similar, except ggplot is
> scaling the text font to make it more readable. Is there a way to scale
> down the x-axis labels, so they are readable?
>
>
>
> On Fri, 7 Jul 2023 at 12:02, PIKAL Petr <petr.pikal using precheza.cz> wrote:
>
> Hallo Anupam
>
> I do not see much difference in ggplot or lattice, they seems to me
> provide almost identical results when removing theme part from ggplot.
>
> library(ggplot2)
> library(lattice)
>
> ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) + geom_point()
> +
> geom_line() + facet_wrap(~Measure)
>
> xyplot(Percent ~ Income | Measure, TrialData4,
> type = "o", pch = 16, as.table = TRUE, grid = TRUE)
>
> So it is probably only matter of your preference which one do you choose.
>
> Cheers
> Petr
>
>
> > -----Original Message-----
> > From: R-help <r-help-bounces using r-project.org> On Behalf Of Deepayan Sarkar
> > Sent: Thursday, July 6, 2023 3:06 PM
> > To: Anupam Tyagi <anuptyagi using gmail.com>
> > Cc: r-help using r-project.org
> > Subject: Re: [R] Plotting factors in graph panel
> >
> > On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anuptyagi using gmail.com> wrote:
> > >
> > > Btw, I think "lattice" graphics will provide a better solution than
> > > "ggplot", because it puts appropriate (space saving) markers on the
> > > axes and does axes labels well. However, I cannot figure out how to do
> > > it in "lattice".
> >
> > You will need to convert Income to a factor first. Alternatively, use
> > dotplot() instead of xyplot(), but that will sort the levels wrongly, so
> better to
> > make the factor first anyway.
> >
> > TrialData4 <- within(TrialData4,
> > {
> > Income <- factor(Income, levels = c("$10", "$25", "$40", "$75", ">
> $75"))
> > })
> >
> > xyplot(Percent ~ Income | Measure, TrialData4,
> > type = "o", pch = 16, as.table = TRUE, grid = TRUE)
> >
> > or
> >
> > dotplot(Percent ~ Income | Measure, TrialData4,
> > type = "o", as.table = TRUE)
> >
> > This is not really any different from the ggplot() version though.
> > Maybe you just don't like the effect of the '+ theme_classic()' part.
> >
> > Best,
> > -Deepayan
> >
> >
> > > On Thu, 6 Jul 2023 at 15:11, Anupam Tyagi <anuptyagi using gmail.com> wrote:
> > >
> > > > Hi John:
> > > >
> > > > Thanks! Below is the data using your suggestion. I used "ggplot" to
> > > > make a graph. I am not too happy with it. I am looking for something
> > > > simpler and cleaner. Plot is attached.
> > > >
> > > > I also tried "lattice" package, but nothing got plotted with "xyplot"
> > > > command, because it is looking for a numeric variable on x-axis.
> > > >
> > > > ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) +
> > > > geom_point()
> > > > +
> > > > geom_line() + facet_wrap(~Measure) + theme_classic()
> > > >
> > > > > dput(TrialData4)structure(list(Income = c("$10", "$25", "$40",
> > > > > "$75", "> $75",
> > > > "$10", "$25", "$40", "$75", "> $75", "$10", "$25", "$40", "$75", ">
> > > > $75", "$10", "$25", "$40", "$75", "> $75", "$10", "$25", "$40",
> > > > "$75", "> $75", "$10", "$25", "$40", "$75", "> $75", "$10", "$25",
> > > > "$40", "$75", "> $75", "$10", "$25", "$40", "$75", "> $75", "$10",
> > > > "$25", "$40", "$75", "> $75", "$10", "$25", "$40", "$75", "> $75",
> > > > "$10", "$25", "$40", "$75", "> $75", "$10", "$25", "$40", "$75", ">
> > > > $75", "$10", "$25", "$40", "$75", "> $75", "$10", "$25", "$40",
> > > > "$75", "> $75", "$10", "$25", "$40", "$75", "> $75", "$10", "$25",
> > > > "$40", "$75", "> $75", "$10", "$25", "$40", "$75", "> $75", "$10",
> > > > "$25", "$40", "$75", "> $75", "$10", "$25", "$40", "$75", "> $75",
> > > > "$10", "$25", "$40", "$75", "> $75", "$10", "$25", "$40", "$75", ">
> > > > $75", "$10", "$25", "$40", "$75", "> $75", "$10", "$25", "$40",
> > > > "$75", "> $75", "$10", "$25", "$40", "$75", "> $75", "$10", "$25",
> > > > "$40", "$75", "> $75", "$10", "$25", "$40", "$75", "> $75", "$10",
> > > > "$25", "$40", "$75", "> $75", "$10", "$25", "$40", "$75", "> $75"
> > > > ), Percent = c(3.052, 2.292, 2.244, 1.706, 1.297, 29.76, 28.79,
> > > > 29.51, 28.9, 31.67, 31.18, 32.64, 34.31, 35.65, 37.59, 36, 36.27,
> > > > 33.94, 33.74, 29.44, 46.54, 54.01, 59.1, 62.17, 67.67, 24.75, 24.4,
> > > > 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103, 3.052, 2.292, 2.244,
> > > > 1.706, 1.297, 29.76, 28.79, 29.51, 28.9, 31.67, 31.18, 32.64, 34.31,
> > > > 35.65, 37.59, 36, 36.27, 33.94, 33.74, 29.44, 46.54, 54.01, 59.1,
> > > > 62.17, 67.67, 24.75, 24.4, 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48,
> > > > 7.103, 3.052, 2.292, 2.244, 1.706, 1.297, 29.76, 28.79, 29.51, 28.9,
> > > > 31.67, 31.18, 32.64, 34.31, 35.65, 37.59, 36, 36.27, 33.94, 33.74,
> > > > 29.44, 46.54, 54.01, 59.1, 62.17, 67.67, 24.75, 24.4, 25, 24.61,
> > > > 24.02, 25.4, 18.7, 29, 11.48, 7.103, 3.052, 2.292, 2.244, 1.706,
> > > > 1.297, 29.76, 28.79, 29.51, 28.9, 31.67, 31.18, 32.64, 34.31, 35.65,
> > > > 37.59, 36, 36.27, 33.94, 33.74, 29.44, 46.54, 54.01, 59.1, 62.17,
> > > > 67.67, 24.75, 24.4, 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103),
> > > > Measure = c("MF None", "MF None", "MF None", "MF None", "MF None",
> > > > "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF
> > > > Debt", "MF Debt", "MF Debt", "MF Debt", "MF Debt", "MF Hybrid", "MF
> > > > Hybrid", "MF Hybrid", "MF Hybrid", "MF Hybrid", "Bank None", "Bank
> > > > None", "Bank None", "Bank None", "Bank None", "Bank Current", "Bank
> > > > Current", "Bank Current", "Bank Current", "Bank Current", "Bank
> > > > Savings", "Bank Savings", "Bank Savings", "Bank Savings", "Bank
> > > > Savings", "MF None 1", "MF None 1", "MF None 1", "MF None 1", "MF
> > > > None 1", "MF Equity 1", "MF Equity 1", "MF Equity 1", "MF Equity 1",
> > > > "MF Equity 1", "MF Debt 1", "MF Debt 1", "MF Debt 1", "MF Debt 1",
> > > > "MF Debt 1", "MF Hybrid 1", "MF Hybrid 1", "MF Hybrid 1", "MF Hybrid
> > > > 1", "MF Hybrid 1", "Bank None 1", "Bank None 1", "Bank None 1",
> > > > "Bank None 1", "Bank None 1", "Bank Current 1", "Bank Current 1",
> > > > "Bank Current 1", "Bank Current 1", "Bank Current 1", "Bank Savings
> > > > 1", "Bank Savings 1", "Bank Savings 1", "Bank Savings 1", "Bank
> > > > Savings 1", "MF None 2", "MF None 2", "MF None 2", "MF None 2", "MF
> > > > None 2", "MF Equity 2", "MF Equity 2", "MF Equity 2", "MF Equity 2",
> > > > "MF Equity 2", "MF Debt 2", "MF Debt 2", "MF Debt 2", "MF Debt 2",
> > > > "MF Debt 2", "MF Hybrid 2", "MF Hybrid 2", "MF Hybrid 2", "MF Hybrid
> > > > 2", "MF Hybrid 2", "Bank None 2", "Bank None 2", "Bank None 2",
> > > > "Bank None 2", "Bank None 2", "Bank Current 2", "Bank Current 2",
> > > > "Bank Current 2", "Bank Current 2", "Bank Current 2", "Bank Savings
> > > > 2", "Bank Savings 2", "Bank Savings 2", "Bank Savings 2", "Bank
> > > > Savings 2", "MF None 3", "MF None 3", "MF None 3", "MF None 3", "MF
> > > > None 3", "MF Equity 3", "MF Equity 3", "MF Equity 3", "MF Equity 3",
> > > > "MF Equity 3", "MF Debt 3", "MF Debt 3", "MF Debt 3", "MF Debt 3",
> > > > "MF Debt 3", "MF Hybrid 3", "MF Hybrid 3", "MF Hybrid 3", "MF Hybrid
> > > > 3", "MF Hybrid 3", "Bank None 3", "Bank None 3", "Bank None 3",
> > > > "Bank None 3", "Bank None 3", "Bank Current 3", "Bank Current 3",
> > > > "Bank Current 3", "Bank Current 3", "Bank Current 3", "Bank Savings
> > > > 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", "Bank
> > > > Savings 3")), class = c("tbl_df", "tbl", "data.frame"), row.names =
> > > > c(NA,
> > > > -140L))
> > > >
> > > >
> > > >
> > > >
> > > > On Thu, 29 Jun 2023 at 21:11, John Kane <jrkrideau using gmail.com> wrote:
> > > >
> > > >> Anupa,
> > > >>
> > > >> I think your best bet with your data would be to tidy it up in
> > > >> Excel, read it into R using something like the readxl package and
> > > >> then supply some sample data is the dput() function.
> > > >>
> > > >> In the case of a large dataset something like dput(head(mydata,
> > > >> 100)) should supply the data we need. Just do dput(mydata) where
> > > >> *mydata* is your data. Copy the output and paste it here.
> > > >>
> > > >> On Thu, 29 Jun 2023 at 08:37, Ebert,Timothy Aaron <tebert using ufl.edu>
> > wrote:
> > > >>
> > > >>> Reposting the data did not help. We do not like to guess, and
> > > >>> doing so takes a great deal of time that is likely wasted.
> > > >>> Rows are observations.
> > > >>> Columns are variables.
> > > >>> In Excel, the first row will be variable names and all subsequent
> > > >>> rows will be observations.
> > > >>>
> > > >>> Income is the first variable. It has seven states: $10, $25, $40,
> > > >>> $75,
> > > >>> >$75, "No", "Answer"
> > > >>> MF is the second variable. It has six values: 1, 2, 3, 4, 5, 9
> > > >>> None is the third variable. It has seven values: 1, 3.05, 2.29,
> > > >>> 2.24, 1.71, 1.30, 2.83 Equity is the last variable with many
> > > >>> states, both numeric and text. A computer will read it all as
> > > >>> text.
> > > >>>
> > > >>> As written the data cannot be analyzed.
> > > >>>
> > > >>> Equity looks like it should be numeric. However, it has text
> values:
> > > >>> "Debt", "Hybrid", Bank", "AC", "None", "Current", "Savings", "No",
> > > >>> and "Answer"
> > > >>>
> > > >>> In looking at the data I try to find some organization where every
> > > >>> variable has the same number of rows as every other variable. I
> > > >>> fail with these data.
> > > >>> I could combine "No" and "Answer" into one name "No Answer" to
> > > >>> make it agree with MF, but then it does not work for None.
> > > >>>
> > > >>>
> > > >>> Please rework the data in Excel so that we can properly interpret
> > > >>> the content. If it is badly organized in Excel, moving it to R
> will not help.
> > > >>> Below, I tried adding carriage returns and spaces to organize the
> > > >>> data, but I have a column of numbers that are not identified. The
> > > >>> values below
> > > >>> $10 do not make much sense compared to other values.
> > > >>>
> > > >>> I am tired of guessing.
> > > >>>
> > > >>> Tim
> > > >>>
> > > >>> -----Original Message-----
> > > >>> From: R-help <r-help-bounces using r-project.org> On Behalf Of Anupam
> > > >>> Tyagi
> > > >>> Sent: Wednesday, June 28, 2023 11:49 PM
> > > >>> To: r-help using r-project.org
> > > >>> Subject: Re: [R] Plotting factors in graph panel
> > > >>>
> > > >>> [External Email]
> > > >>>
> > > >>> Thanks, Pikal and Jim. Yes, it has been a long time Jim. I hope
> > > >>> you have been well.
> > > >>>
> > > >>> Pikal, thanks. Your solution may be close to what I want. I did
> > > >>> not know that I was posting in HTML. I just copied the data from
> > > >>> Excel and posted in the email in Gmail. The data is still in
> > > >>> Excel, because I have not yet figured out what is a good way to
> > > >>> organize it in R. I am posting it again below as text. These are
> > > >>> rows in Excel: 1,2,3,5,9 after MF are income categories and No
> > > >>> Answer category (9). Down the second column are categories of MF
> > and Bank AC. Rest of the columns are percentages.
> > > >>>
> > > >>> Jim, thanks for the graph. I am looking to plot only one line
> > > >>> (category) each in many small plots on the same page. I don't want
> > > >>> to compare different categories on the same graph as you do, but
> > > >>> see how each category varies by income, one category in each
> > > >>> graph. Like Excel does with Sparklines (Top menu: Insert,
> > > >>> Sparklines, Lines). I have many categories for many variables. I
> am only
> > showing two MF and Bank AC.
> > > >>>
> > > >>> Income $10 $25 $40 $75 > $75 No Answer
> > > >>> MF 1 2 3 4 5
> 9
> > > >>> None 1 3.05 2.29 2.24 1.71 1.30
> > > >>> 2.83
> > > >>> Equity 2 29.76 28.79 29.51 28.90 31.67
> > > >>> 36.77
> > > >>>
> > > >>> Debt 3 31.18 32.64 34.31 35.65 37.59
> > > >>> 33.15
> > > >>>
> > > >>> Hybrid 4 36.00 36.27 33.94 33.74 29.44 27.25
> > > >>>
> > > >>> Bank AC None 1 46.54 54.01 59.1 62.17 67.67 60.87
> > > >>>
> > > >>> Current 2 24.75 24.4 25 24.61 24.02 21.09
> > > >>>
> > > >>> Savings 3 25.4 18.7 29 11.48 7.103 13.46
> > > >>>
> > > >>> No Answer 9 3.307 2.891 13.4 1.746 1.208 4.577
> > > >>>
> > > >>>
> > > >>> On Wed, 28 Jun 2023 at 17:30, Jim Lemon <drjimlemon using gmail.com>
> > wrote:
> > > >>>
> > > >>> > Hi Anupam,
> > > >>> > Haven't heard from you in a long time. Perhaps you want
> > > >>> > something like
> > > >>> > this:
> > > >>> >
> > > >>> > at_df<-read.table(text=
> > > >>> > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None
> > > >>> > Bank_Current Bank_Savings Bank_NA
> > > >>> > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307
> > > >>> > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891
> > > >>> > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4
> > > >>> > $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746
> > > >>> > >$75 5 1.30 31.67 37.59 29.44 67.67 24.02 7.103 1.208
> > > >>> > No_Answer 9
> > > >>> > 2.83 36.77 33.15 27.25 60.87 21.09 13.46 4.577",
> > > >>> > header=TRUE,stringsAsFactors=FALSE)
> > > >>> > at_df<-
> > at_df[at_df$Income!="No_Answer",which(names(at_df)!="Bank
> > > >>> > _NA")]
> > > >>> > png("MF_Bank.png",height=600)
> > > >>> > par(mfrow=c(2,1))
> > > >>> > matplot(at_df[,c("MF_None","MF_Equity","MF_Debt","MF_Hybrid")],
> > > >>> > type="l",col=1:4,lty=1:4,lwd=3, main="Percentages by Income
> > > >>> > and MF type", xlab="Income",ylab="Percentage of group",xaxt="n")
> > > >>> > axis(1,at=1:5,labels=at_df$Income)
> > > >>> > legend(3,24,c("MF_None","MF_Equity","MF_Debt","MF_Hybrid"),
> > > >>> > lty=1:4,lwd=3,col=1:4)
> > > >>> > matplot(at_df[,c("Bank_None","Bank_Current","Bank_Savings")],
> > > >>> > type="l",col=1:3,lty=1:4,lwd=3, main="Percentages by Income
> > > >>> > and Bank type", xlab="Income",ylab="Percentage of
> > > >>> > group",xaxt="n")
> > > >>> > axis(1,at=1:5,labels=at_df$Income)
> > > >>> > legend(3,54,c("Bank_None","Bank_Current","Bank_Savings"),
> > > >>> > lty=1:4,lwd=3,col=1:3)
> > > >>> > dev.off()
> > > >>> >
> > > >>> > Jim
> > > >>> >
> > > >>> > On Wed, Jun 28, 2023 at 6:33 PM Anupam Tyagi
> > > >>> > <anuptyagi using gmail.com>
> > > >>> wrote:
> > > >>> > >
> > > >>> > > Hello,
> > > >>> > >
> > > >>> > > I want to plot the following kind of data (percentage of
> > > >>> > > respondents
> > > >>> > from a
> > > >>> > > survey) that varies by Income into many small *line* graphs in
> > > >>> > > a panel of graphs. I want to omit "No Answer" categories. I
> > > >>> > > want to see how each one of the categories (percentages),
> > > >>> > > "None", " Equity", etc. varies by
> > > >>> > Income.
> > > >>> > > How can I do this? How to organize the data well and how to
> > > >>> > > plot? I
> > > >>> > thought
> > > >>> > > Lattice may be a good package to plot this, but I don't know
> > > >>> > > for sure. I prefer to do this in Base-R if possible, but I am
> > > >>> > > open to ggplot. Any
> > > >>> > ideas
> > > >>> > > will be helpful.
> > > >>> > >
> > > >>> > > Income
> > > >>> > > $10 $25 $40 $75 > $75 No Answer MF 1 2 3 4 5 9 None 1 3.05
> > > >>> > > 2.29 2.24 1.71 1.30 2.83 Equity 2 29.76 28.79 29.51
> > > >>> > > 28.90 31.67 36.77 Debt 3 31.18 32.64 34.31 35.65 37.59 33.15
> > > >>> > > Hybrid
> > > >>> > > 4 36.00 36.27 33.94 33.74 29.44 27.25 Bank AC None 1 46.54
> > > >>> > > 54.01
> > > >>> > > 59.1 62.17 67.67 60.87 Current 2 24.75 24.4 25 24.61 24.02
> > > >>> > > 21.09 Savings 3 25.4 18.7 29 11.48 7.103 13.46 No Answer 9
> > > >>> > > 3.307 2.891
> > > >>> > > 13.4 1.746 1.208 4.577
> > > >>> > >
> > > >>> > > Thanks.
> > > >>> > > --
> > > >>> > > Anupam.
> > > >>> > >
> > > >>> > > [[alternative HTML version deleted]]
> > > >>> > >
> > > >>> > > ______________________________________________
> > > >>> > > R-help using r-project.org mailing list -- To UNSUBSCRIBE and more,
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> > wLjA
> > > >>> > wMDAiL
> > > >>> >
> > CJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sd
> > > >>> > ata=H7
> > > >>> >
> > 6XCa%2FULBGUn0Lok93l6mtHzo0snq5G0a%2BL4sEH8%2F8%3D&reserved=0
> > > >>> > > and provide commented, minimal, self-contained, reproducible
> > code.
> > > >>> >
> > > >>>
> > > >>>
> > > >>> --
> > > >>> Anupam.
> > > >>>
> > > >>> [[alternative HTML version deleted]]
> > > >>>
> > > >>> ______________________________________________
> > > >>> R-help using 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 using 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.
> > > >>>
> > > >>
> > > >>
> > > >> --
> > > >> John Kane
> > > >> Kingston ON Canada
> > > >>
> > > >
> > > >
> > > > --
> > > > Anupam.
> > > >
> > > >
> > >
> > > --
> > > Anupam.
> > >
> > > [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > R-help using 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 using 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.
>
>
>
>
> --
>
> Anupam.
>
--
Anupam.
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