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 PRECHEZA a.s. nábř. Dr. Edvarda Beneše 1170/24 | 750 02 Přerov | Czech Republic Tel: +420 581 252 256 | GSM: +420 724 008 364 <mailto:petr.pi...@precheza.cz> petr.pi...@precheza.cz | <https://www.precheza.cz/> www.precheza.cz Osobní údaje: Informace o zpracování a ochraně osobních údajů obchodních partnerů PRECHEZA a.s. jsou zveřejněny na: <https://www.precheza.cz/zasady-ochrany-osobnich-udaju/> https://www.precheza.cz/zasady-ochrany-osobnich-udaju/ | Information about processing and protection of business partner’s personal data are available on website: <https://www.precheza.cz/en/personal-data-protection-principles/> https://www.precheza.cz/en/personal-data-protection-principles/ Důvěrnost: Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a podléhají tomuto právně závaznému prohlášení o vyloučení odpovědnosti: <https://www.precheza.cz/01-dovetek/> https://www.precheza.cz/01-dovetek/ | This email and any documents attached to it may be confidential and are subject to the legally binding disclaimer: <https://www.precheza.cz/en/01-disclaimer/> https://www.precheza.cz/en/01-disclaimer/ From: Anupam Tyagi <anupty...@gmail.com> Sent: Friday, July 7, 2023 12:48 PM To: PIKAL Petr <petr.pi...@precheza.cz> Cc: r-help@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.pi...@precheza.cz <mailto:petr.pi...@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-boun...@r-project.org > <mailto:r-help-boun...@r-project.org> > On Behalf Of Deepayan Sarkar > Sent: Thursday, July 6, 2023 3:06 PM > To: Anupam Tyagi <anupty...@gmail.com <mailto:anupty...@gmail.com> > > Cc: r-help@r-project.org <mailto:r-help@r-project.org> > Subject: Re: [R] Plotting factors in graph panel > > On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anupty...@gmail.com > <mailto:anupty...@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 <anupty...@gmail.com > > <mailto:anupty...@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 <jrkrid...@gmail.com > > > <mailto:jrkrid...@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 <teb...@ufl.edu > > >> <mailto:teb...@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-boun...@r-project.org > > >>> <mailto:r-help-boun...@r-project.org> > On Behalf Of Anupam > > >>> Tyagi > > >>> Sent: Wednesday, June 28, 2023 11:49 PM > > >>> To: r-help@r-project.org <mailto:r-help@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 <drjimle...@gmail.com > > >>> <mailto:drjimle...@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 > > >>> > <anupty...@gmail.com <mailto:anupty...@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@r-project.org <mailto:R-help@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@r-project.org <mailto:R-help@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@r-project.org <mailto:R-help@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@r-project.org <mailto:R-help@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@r-project.org <mailto:R-help@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.
______________________________________________ R-help@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.
