[R] Plotting factors in graph panel

Mon Jul 3 11:08:17 CEST 2023

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 <drjimlemon using 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 <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.
>

-- 
Anupam.

	[[alternative HTML version deleted]]