Hallo Anupam
With
ggplot change axis label size into Google
the first answer I got was
axis.text theme
r - Change size of axes title and labels in ggplot2 - Stack Overflow
<https://stackoverflow.com/questions/14942681/change-size-of-axes-title-and-labels-in-ggplot2>
so
ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) + geom_point() +
geom_line() + facet_wrap(~Measure) + theme(axis.text=element_text(size=5))
Should do the trick.
S pozdravem | Best Regards
RNDr. Petr PIKAL
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From: Anupam Tyagi <anuptyagi at gmail.com>
Sent: Friday, July 7, 2023 12:48 PM
To: PIKAL Petr <petr.pikal at precheza.cz>
Cc: r-help at r-project.org
Subject: Re: [R] Plotting factors in graph panel
Thanks! You are correct, the graphs look very similar, except ggplot is scaling
the text font to make it more readable. Is there a way to scale down the x-axis
labels, so they are readable?
On Fri, 7 Jul 2023 at 12:02, PIKAL Petr <petr.pikal at precheza.cz
<mailto:petr.pikal at precheza.cz> > wrote:
Hallo Anupam
I do not see much difference in ggplot or lattice, they seems to me provide
almost identical results when removing theme part from ggplot.
library(ggplot2)
library(lattice)
ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) + geom_point() +
geom_line() + facet_wrap(~Measure)
xyplot(Percent ~ Income | Measure, TrialData4,
type = "o", pch = 16, as.table = TRUE, grid = TRUE)
So it is probably only matter of your preference which one do you choose.
Cheers
Petr
> -----Original Message-----
> From: R-help <r-help-bounces at r-project.org <mailto:r-help-bounces
at r-project.org> > On Behalf Of Deepayan Sarkar
> Sent: Thursday, July 6, 2023 3:06 PM
> To: Anupam Tyagi <anuptyagi at gmail.com <mailto:anuptyagi at
gmail.com> >
> Cc: r-help at r-project.org <mailto:r-help at r-project.org>
> Subject: Re: [R] Plotting factors in graph panel
>
> On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anuptyagi at gmail.com
<mailto:anuptyagi at 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 at gmail.com
<mailto:anuptyagi at 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 at
gmail.com <mailto:jrkrideau at 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
at ufl.edu <mailto:tebert at 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 at r-project.org
<mailto:r-help-bounces at r-project.org> > On Behalf Of Anupam
> > >>> Tyagi
> > >>> Sent: Wednesday, June 28, 2023 11:49 PM
> > >>> To: r-help at r-project.org <mailto:r-help at
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 at
gmail.com <mailto:drjimlemon at 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 at gmail.com <mailto:anuptyagi at
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 at r-project.org <mailto:R-help at
r-project.org> mailing list -- To UNSUBSCRIBE and more,
> > >>> > > see https://st/
> > >>> > > at.ethz.ch <http://at.ethz.ch>
%2Fmailman%2Flistinfo%2Fr-
> help&data=05%7C01%7Ctebert
> > >>> > > %40ufl
> > >>> > >
> .edu%7C59874e74164c46133f2c08db7853d28f%7C0d4da0f84a314d76ace6
> > >>> > > 0a6233
> > >>> > >
> 1e1b84%7C0%7C0%7C638236073642897221%7CUnknown%7CTWFpbGZsb3d
> 8ey
> > >>> > > JWIjoi
> > >>> > >
> MC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3
> > >>> > > 000%7C
> > >>> > >
> %7C%7C&sdata=xoaDMG7ogY4tMtqe30pONZrBdk0eq2cW%2BgdwlDHneWY
> %3D&
> > >>> > > reserv
> > >>> > > ed=0
> > >>> > > PLEASE do read the posting guide
> > >>> > http://www.r/
> > >>> > -project.org <http://project.org> %2Fposting-
> guide.html&data=05%7C01%7Ctebert%40ufl.ed
> > >>> > u%7C59
> > >>> >
> 874e74164c46133f2c08db7853d28f%7C0d4da0f84a314d76ace60a62331e1b8
> > >>> > 4%7C0%
> > >>> >
> 7C0%7C638236073642897221%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4
> wLjA
> > >>> > wMDAiL
> > >>> >
> CJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sd
> > >>> > ata=H7
> > >>> >
> 6XCa%2FULBGUn0Lok93l6mtHzo0snq5G0a%2BL4sEH8%2F8%3D&reserved=0
> > >>> > > and provide commented, minimal, self-contained,
reproducible
> code.
> > >>> >
> > >>>
> > >>>
> > >>> --
> > >>> Anupam.
> > >>>
> > >>> [[alternative HTML version deleted]]
> > >>>
> > >>> ______________________________________________
> > >>> R-help at r-project.org <mailto:R-help at
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 at r-project.org <mailto:R-help at
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 at r-project.org <mailto:R-help at 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 at r-project.org <mailto:R-help at 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.