[R] Plotting factors in graph panel

Fri Jun 30 01:10:53 CEST 2023

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 <anuptyagi using 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 <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://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 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.

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