similar to: update R version in windows

However, trying this on Linux Mint gave package ?installr? is not available (for R version 3.4.2) Has the package not been updated yet? JN Try the installr package. It was designed for this purpose. On Fri, Nov 10, 2017 at 11:49 AM, Bond, Stephen <Stephen.Bond at cibc.com> wrote: > Is there a utility which will allow me to upgrade my R version and update all packages from the old

This issue does not exist on Linux. My Ubuntu updates both R and all packages. Stephen B -----Original Message----- From: J C Nash [mailto:profjcnash at gmail.com] Sent: Friday, November 10, 2017 1:19 PM To: r-help; RICHARD M. HEIBERGER; Bond, Stephen Subject: Re: [R] update R version in windows However, trying this on Linux Mint gave package ?installr? is not available (for R version

Knowledgeable useRs, Please, advise how to use offset with a factor. I estimate monthly effects from a much bigger data set as monthly effects seem to be stable, and other variables are estimated from a small, but recent data set as there is variation in those non-seasonal coefficients. How can I use the seasonality estimates from the big data set as an offset provided to the small data set. I

Greetings useRs, What is the easiest way to create a design matrix of several factor variables? Function gendata in Design seems to do that for a fitted model, but how to do that only on several factor vectors?? The result should be a df with one row for each distinct combination of levels of factors eg for (M,F) (Y,O) We get M Y M O F Y F O In reality I will have more than 1000 rows so doing

What is the way to add an arbitrary fit from a model to a lattice conditioning plot ? For example xyplot(v1 ~v2 | v3,data=mydata, panel=function(...){ panel.xyplot(...) panel.loess(...,col.line="red") } ) Will add a loess smoother. Instead, I want to put a fit from lm (but not a simple straight line) and the fit has to be done for each panel

Big thanks. newXMLNode works great. Wonder why it is not included in the documentation. There is newXMLDoc and newXMLNamespace, but no mention of newXMLNode. Stephen From: Ben Tupper [mailto:btupper at bigelow.org] Sent: Wednesday, March 21, 2018 6:18 PM To: Bond, Stephen Cc: r-help Subject: Re: [R] how to add a child to a child in XML Hi, XML doesn't use the `$` to access child nodes.

Note though that this has been put on hold on stats.stackexchange.com as off-topic. On 23/06/2017 19:33, Bert Gunter wrote: > Probably the wrong list. R-help is concerned with R programming, not > statistics methodology questions, although the intersection can be > nonempty. > > I suggest you post on stats.stackexchange.com instead, which *is* > concerned with statistics

Is there a package or a command that does window aggregation like select sum(col1) over (partition by col2, col3 order by col4 rows between unbounded preceding and current row) as sum1 from table1 ; the above is Netezza syntax, but Postgre has same capability. Stephen B [[alternative HTML version deleted]]

Hi, It's a reasonable question. The answer is that it actually is included, but there are many instances across packages where multiple functions are documented on a single help page. The following brings up such a page... (for XML_3.98-1.9) > library(XML) > ?newXMLNode You can see the same on line... https://www.rdocumentation.org/packages/XML/versions/3.98-1.9/topics/newXMLDoc

Just to clarify and hopefully catch the attention of the maintainer: The newXMLNode function is not mentioned in: https://cran.r-project.org/web/packages/XML/XML.pdf which supposedly describes all functions in the package. Stephen From: Ben Tupper [mailto:btupper at bigelow.org] Sent: Thursday, March 22, 2018 10:40 AM To: Bond, Stephen Cc: r-help Subject: Re: [R] how to add a child to a

What is the best way to change my R code to be able to compare the pooled proportions(complication and reoperation rates) with the Chi square method? Verstuurd vanaf mijn iPhone > Op 24 jun. 2017 om 14:18 heeft Michael Dewey <lists at dewey.myzen.co.uk> het volgende geschreven: > > Note though that this has been put on hold on stats.stackexchange.com as off-topic. > >>

I am trying to add a child to a child using XML package in R. the following fails library(XML) node1 <- c("val1","val2","val3") names(node1) <- c("att1","att2","att3") root <- xmlNode("root", attrs=node1) node2 <- LETTERS[1:3] names(node2) <- paste("name",1:3,sep="") root <-

Potential bug: I mistyped weights in the call ('weigths') and it did not produce any error= message. The coefs were exactly the same like without weights, so I was su= spicious and when weights(nls1) gave NULL, I saw my typo. Usually the function will say "Unused arguments", which shows you the error= , but not nls. Regards Stephen [[alternative HTML version deleted]]

Hi, XML doesn't use the `$` to access child nodes. Instead use either `[name]` to get a list of children of that name or `[[name]]` to get the just the first child of that name encountered in the genealogy. Thus for your example... > root$child1 NULL > root[['child1']] <child1 name1="A" name2="B" name3="C"/> On the other hand, you might

Greetings useRs, Can anyone provide an example how to use ff to feed a very large data frame to glm? The data.frame cannot be loaded in R using conventional read.csv as it is too big. glm(...,data=ff.file) ?? Thank you Stephen B

Hi and thanks for the prompt reply. I cannot say I understood or know what to do. Can you please tell me which is this mailing list? ???? 2:15 ?.?. ???????, 5 ??????? 2018, ?/? Michael Dewey <lists at dewey.myzen.co.uk> ??????: The error is that one of your documentation files is failing. Try compiling each one separately with R CMD Rd2pdf yourfilenamehere.Rd and see what

Windows 10 64-bit, R-Studio, R version 3.4.3 Several questions relating to groupedData: (1) I am trying to create a groupedData object that can be used to run an analysis that I have been able to urn using lmer. When I include the interaction terms in the groupedData opbject I get an error message stating that + is not meaningful for factors. How do I include factors in my model? See code and

https://stat.ethz.ch/mailman/listinfo/r-package-devel On 05/03/2018 13:46, michael tsagris wrote: > Hi and thanks for the prompt reply. I cannot say I understood or know > what to do. > Can you please tell me which is this mailing list? > > > > ???? 2:15 ?.?. ???????, 5 ??????? 2018, ?/? Michael Dewey > <lists at dewey.myzen.co.uk> ??????: > > > The

Hello everybody, Data is myd <- data.frame(id1=rep(c("a","b","c"),each=3),id2=rep(1:3,3),val=rnorm(9)) I want to get a cumulative sum over each of id1. trying aggregate does not work myd$pcum <- aggregate(myd[,c("val")],list(orig=myd$id1),cumsum) Please suggest a solution. In real the dataframe is huge so looping with for and subsetting is not a

Thank you Michael, Curves for each level of the factor sounds very interesting, Do you have a suggestion how to plot them? Thank you! Alina *Alina Vodonos Zilberg* On Thu, Aug 10, 2017 at 7:39 AM, Michael Dewey <lists at dewey.myzen.co.uk> wrote: > Dear Alina > > If I understand you correctly you cannot just have a single predicted > curve but one for each level of your