Hi
I believe that facet_grid his is quite close to what you expect.
p <- ggplot(mpg, aes(displ, cty)) + geom_point()+geom_line()
p + facet_grid(vars(drv), vars(cyl))
You can inspect how mpg data is organized by head(mpg)
Cheers
Petr
> -----Original Message-----
> From: R-help <r-help-boun...@r-project.org> On Behalf Of Anupam Tyagi
> Sent: Monday, July 3, 2023 11:54 AM
> To: Jim Lemon <drjimle...@gmail.com>
> Cc: r-help mailing list <r-help@r-project.org>
> Subject: Re: [R] Plotting factors in graph panel
>
> Attached is another example plot, that is better than the earlier one.
>
> On Mon, 3 Jul 2023 at 15:21, Anupam Tyagi <anupty...@gmail.com> wrote:
>
> > I thought maybe I can share with you how the data looks in Excel, and
> > an example plot I found on the web that looks similar to what I want to
> > plot.
> > These are attached to this email as *.png files. I am trying to see
> > (plot) how each row of data (percentages) varies with income, making
> > many small graphs in the same plot. For each row of data there will be
> > one graph. I can manually delete the "No Answer" rows in Excel, if
> > that is the best solution. I want the output to look like the
> > sparklines in column "I" of attached Excel screenshot, with labelling
> > of each graphs. This is similar to the attached "Example_plot". I
> > thought this could be done with Lattice, or base-R, or ggplot easily,
> > but this turning out to be more difficult than I had thought.
> >
> > On Mon, 3 Jul 2023 at 14:38, Anupam Tyagi <anupty...@gmail.com> wrote:
> >
> >> Thanks Jim, thanks everyone. I was caught up with work and moving
> >> home, so a delay in response. I tried running the code you provided
> >> and it is not running well in my R-Studio setup. It is giving errors
> >> and not producing plots. I don't yet understand all the code well
> >> yet, so I need to work on it and then get back to you all. Sorry for
> >> not posting data from a R dataframe. My data is still in Excel. I
> >> organized data in Excel almost exactly (look wise) as the output from
> >> Stata log file (text) for a "tabulate" command for a survey dataset.
> >> I don't yet understand a good way to organize this data in R, so I
> >> cannot send it to you now. Let me do some work on this, understand
> >> the R code you have given, and get back to you in a few days. I have
> >> not been using R lately, but I think the graph I am trying to make
> >> will be done better and easier in R than in Stata. Thank you all for all
> >> your
> help. Let me do some work and get back to you.
> >>
> >>
> >> On Fri, 30 Jun 2023 at 04:41, Jim Lemon <drjimle...@gmail.com> wrote:
> >>
> >>> Okay. Here is a modification that does four single line plots.
> >>>
> >>> 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("Income_pcts.png",height=700)
> >>> par(mfrow=c(4,1))
> >>> plot(at_df[,"Bank_Current"],
> >>> type="l",lwd=3,main="Bsnk_Current",
> >>> xlab="Income",ylab="%",xaxt="n")
> >>> axis(1,at=1:5,labels=at_df$Income)
> >>> plot(at_df[,"Bank_Savings"],
> >>> type="l",lwd=3,main="Bank_Sasvings",
> >>> xlab="Income",ylab="%",xaxt="n")
> >>> axis(1,at=1:5,labels=at_df$Income)
> >>> plot(at_df[,"MF_Equity"],
> >>> type="l",lwd=3,main="MF_Equity",
> >>> xlab="Income",ylab="%",xaxt="n")
> >>> axis(1,at=1:5,labels=at_df$Income)
> >>> plot(at_df[,"MF_Debt"],
> >>> type="l",lwd=3,main="MF_Debt",
> >>> xlab="Income",ylab="%",xaxt="n")
> >>> axis(1,at=1:5,labels=at_df$Income)
> >>> dev.off()
> >>>
> >>> Jim
> >>>
> >>> On Thu, Jun 29, 2023 at 1:49 PM Anupam Tyagi <anupty...@gmail.com>
> >>> wrote:
> >>> >
> >>> > 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 <drjimle...@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
> >>> > > <anupty...@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@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]]
> >>> >
> >>> > ______________________________________________
> >>> > R-help@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.
> >
> >
>
> --
> Anupam.
______________________________________________
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