[R] Plotting factors in graph panel
Deepayan Sarkar
deep@y@n@@@rk@r @end|ng |rom gm@||@com
Wed Jul 12 05:50:54 CEST 2023
On Wed, 12 Jul 2023 at 08:57, Anupam Tyagi <anuptyagi using gmail.com> wrote:
> Thanks.
> I made a graph in Stata that is close to what I want in R. Stata graph is
> attached. The main differences between Stata and R graphs that I was able
> to make, with ggplot or lattice, is that I have been able to scale y-axis
> of each sub-graph independently in Stata, but not in R. Also, x-axis labels
> are also complete in Stata but not in R. Is there a way to do this in R via
> base-R, ggplot or lattice?
Yes, of course. For lattice, add the argument
scales = list(y = "free")
For ggplot2, change
facet_wrap(~Measure)
to
facet_wrap(~Measure, scale = "free")
-Deepayan
I had initially thought that these types of
> panel graphs are common and should be easy to do, but that is not how this
> is turning out to be. Any help is welcome.
>
> On Fri, 7 Jul 2023 at 17:57, PIKAL Petr <petr.pikal using precheza.cz> wrote:
>
> > 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*Vedoucí Výzkumu a vývoje | Research Manager
> >
> >
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> >
> >
> > *From:* Anupam Tyagi <anuptyagi using gmail.com>
> > *Sent:* Friday, July 7, 2023 12:48 PM
> > *To:* PIKAL Petr <petr.pikal using precheza.cz>
> > *Cc:* r-help using 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 using 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 using r-project.org> On Behalf Of Deepayan
> Sarkar
> > > Sent: Thursday, July 6, 2023 3:06 PM
> > > To: Anupam Tyagi <anuptyagi using gmail.com>
> > > Cc: r-help using r-project.org
> > > Subject: Re: [R] Plotting factors in graph panel
> > >
> > > On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anuptyagi using 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 using 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 using 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 using 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 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]]
> > > > >>> > >
> > > > >>> > > ______________________________________________
> > > > >>> > > R-help using r-project.org mailing list -- To UNSUBSCRIBE and
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> > > help&data=05%7C01%7Ctebert
> > > > >>> > > %40ufl
> > > > >>> > >
> > > .edu%7C59874e74164c46133f2c08db7853d28f%7C0d4da0f84a314d76ace6
> > > > >>> > > 0a6233
> > > > >>> > >
> > > 1e1b84%7C0%7C0%7C638236073642897221%7CUnknown%7CTWFpbGZsb3d
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> > > > >>> > > PLEASE do read the posting guide
> > > > >>> > http://www.r/
> > > > >>> > -project.org%2Fposting-
> > > guide.html&data=05%7C01%7Ctebert%40ufl.ed
> > > > >>> > u%7C59
> > > > >>> >
> > > 874e74164c46133f2c08db7853d28f%7C0d4da0f84a314d76ace60a62331e1b8
> > > > >>> > 4%7C0%
> > > > >>> >
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> > > wLjA
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> > > > >>> >
> > > 6XCa%2FULBGUn0Lok93l6mtHzo0snq5G0a%2BL4sEH8%2F8%3D&reserved=0
> > > > >>> > > 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.
> > > > >>> ______________________________________________
> > > > >>> 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.
> > > > >>>
> > > > >>
> > > > >>
> > > > >> --
> > > > >> John Kane
> > > > >> Kingston ON Canada
> > > > >>
> > > > >
> > > > >
> > > > > --
> > > > > Anupam.
> > > > >
> > > > >
> > > >
> > > > --
> > > > 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.
> > >
> > > ______________________________________________
> > > 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.
> >
>
>
> --
> Anupam.
> ______________________________________________
> 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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