[R] Plotting factors in graph panel

Thu Jun 29 14:37:23 CEST 2023

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]]
> >
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--
Anupam.

        [[alternative HTML version deleted]]

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