[R] Plotting factors in graph panel
Anupam Tyagi
@nupty@g| @end|ng |rom gm@||@com
Fri Jul 7 12:46:54 CEST 2023
Thanks!
Is there a way to reduce font-size of text of x-axis labels and titles of
sub-graphs? That will probably make graphs more readable.
I am realizing that since the y-axis scales are very different for some
graphs, I may have to figure out a way to build the sub-graphs one at a
time, manually, and then combine them together. It is going to be very
tedious. I have more than 100 sub-graphs to display, more than 50 varying
by income and more than 50 varying by education. I may need to combine them
in two or four panels of graphs. No journal is likely to want pages full of
sub-graphs.
On Thu, 6 Jul 2023 at 18:35, Deepayan Sarkar <deepayan.sarkar using gmail.com>
wrote:
> 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,
> see
> > >>> > > https://st/
> > >>> > > at.ethz.ch
> %2Fmailman%2Flistinfo%2Fr-help&data=05%7C01%7Ctebert%40ufl
> > >>> > >
> .edu%7C59874e74164c46133f2c08db7853d28f%7C0d4da0f84a314d76ace60a6233
> > >>> > >
> 1e1b84%7C0%7C0%7C638236073642897221%7CUnknown%7CTWFpbGZsb3d8eyJWIjoi
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> > >>> > > ed=0
> > >>> > > PLEASE do read the posting guide
> > >>> > http://www.r/
> > >>> > -project.org%2Fposting-guide.html&data=05%7C01%7Ctebert%40ufl.edu
> %7C59
> > >>> >
> 874e74164c46133f2c08db7853d28f%7C0d4da0f84a314d76ace60a62331e1b84%7C0%
> > >>> >
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> > >>> >
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> > >>> > 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.
>
--
Anupam.
[[alternative HTML version deleted]]
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