similar to: generating cran package list matching R minor version

> On Aug 9, 2017, at 5:38 AM, Christian Meesters <meesters at uni-mainz.de> wrote: > > Dear All, > > It is a common problem to update R for distributors. My challenge is to maintain R module files for a cluster, using easybuild. > > My question is: Is there a way to derive a list of cran packages and their version for a given version of R? I'm wondering whether

I agree that the "R Installation and Administration" guide statement about FlexiBLAS needs an update. Standard R in CentOS Stream 9, which is now downstream from Fedora, gives the following result for Matrix products in sessionInfo(): > sessionInfo() R version 4.3.1 (2023-06-16) Platform: x86_64-redhat-linux-gnu (64-bit) Running under: CentOS Stream 9 Matrix products: default

Dear people, I've a problem in doing a power calculation. In Fryer and Nicholson (1993), ICES J. mar. Sci. 50: 161-168 page 164 an example is given with the following characteristics T=5, points in time R=5, replicates Var.within=0.1 q=10, a 10% increase per year The degrees of freedom for the test are calculated as Vl=T*R-2=23 and the non-centrality parameter Dl=4.54. Using this they get a

Dear all, I report the same problem again, as one of our sysadmins at the university ran into the same issue again. Every so often they find an in-place update of an R package which almost always amounts to a small change in the DESCRIPTION file. This does cause the checksums to change, and we end up with two packages with the exact same version number but different checksums. To date there

R users doing data analysis may be interested in the following paper: http://methodsblog.wordpress.com/2009/11/13/first-paper-now-online/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+wordpress%2Fmethodsblog+(methods.blog) All data and R code is available. Alain ----- -------------------------------------------------------------------- Dr. Alain F. Zuur First author of:

Cada vez que intento cargar el paquete "agricolae" me da el siguiente mensaje: Error: package or namespace load failed for 'agricolae' in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]): there is no package called 'spData' He intentado todo actualizar los paquetes, volverlos a instalar pero no hay forma. Si sabeis la solución ?? Un saludo. Juan

Buenas, Alguno ha probado a usar Microsfot R Open? Segun leo, se han centrado en hacer que R por defecto sea multicore (cosa que podemos hacer usando parallel, foreach...) https://mran.revolutionanalytics.com/documents/rro/multithread Home [mran.revolutionanalytics.com]<https://mran.revolutionanalytics.com/documents/rro/multithread> This site uses cookies for analytics, personalized

Hi, Being a R-newbie I am wondering how to calculate a correlation coefficient (preferably with an associated p-value) for data like: > d[,1] [1] 25.5 25.3 25.1 NA 23.3 21.5 23.8 23.2 24.2 22.7 27.6 24.2 ... > d[,2] [1] 0.0 11.1 0.0 NA 0.0 10.1 10.6 9.5 0.0 57.9 0.0 0.0 ... Apparently corr(d) from the boot-library fails with NAs in the data, also cor.test cannot cope with a

On 10/11/23 23:12, George Ostrouchov wrote: > I agree that the "R Installation and Administration" guide statement about FlexiBLAS needs an update. Standard R in CentOS Stream 9, which is now downstream from Fedora, gives the following result for Matrix products in sessionInfo(): > >> sessionInfo() > R version 4.3.1 (2023-06-16) > Platform: x86_64-redhat-linux-gnu

Hi r-user, I am trying to save same objects in workspace, but the next error message is show in line command, save(area,cent,larg,mran,eddy,dia,vort,slan,file="stat.Rdata") Erro en save.default(area, cent, larg, mran, eddy, dia, vort, slan, file = "stat.Rdata") : 5 arguments passed to 'saveToConn' which requires 6 Is there a way to help me solve this

We would like to announce the following statistics course: Introduction to zero inflated models and GLMM 13 - 16 May 2013. Elche, Spain. For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013_05Elche_ZIP.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and

Dear R Developers, First of all, I would like to thank you Jeroen Ooms for taking the binary Window Builds from Duncan. I firmly believe that the R Community will benefit a lot from his work. However, the debate I would like to open is about if some of Microsoft R Open Code shall be ported from R Open to Mainstream R. There are some beneficts in R Open such as multithreaded performance:

Hi, I would like to tabulate the likelihood for an affection. For this, I retrieve indices of affected people and controls for my data set and proceed as follows: flags <- c(rep(1, length(patient_indices)), rep(0, length(control_indices))) # dataset is a data.frame and param the parameter to be analysed: data1 <- dataset[,param][c(patient_indices, control_indices)] fit1 <- glm(flags ~

Hi, I?ve been using R on and off for a couple of years. I think R is pretty great but one thing I?d like to see improved is the way packages are organised. Instead of CRAN being a long list of packages having a short & usually unintelligible name I ?d like to see packages organised in a hierarchical way with that path acting as a hierarchical namespace just like you have in many other

Hi all- I fit a zero-inflated Poisson model to model bycatch rates using an offset term for effort. I need to apply the fitted model to a datasets of varying levels of effort to predict the associated levels of bycatch. I am seeking assistance as to the correct way to code this. Thanks in advance! Laura [[alternative HTML version deleted]]

Dear dev team, I was sorry to see the announcement of Duncan about his retirement from maintaining the R Windows build and Rtools. Duncan, thank you incredibly much for your 15 years of devotion and your impressive contribution to the R community as a whole. Thinking about the future, I wondered whether there were plans for the succession of Duncan. Is it the intention to continue providing

Hi, I would like to display inter-parameter scatter plots like those with the corrgram package (see upper triangle here: http://www.statmethods.net/advgraphs/images/corrgram2.png ), just that I would like to plot two datasets instead of one. Say one with black and one with red dots. Or a merged dataset where an indicator column is used to assign different colors to particular dots - with still

Hi, For my data, I followed the example of http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R/Clustering/K-Means#Execution and got some very nice results. Despite the fact, that I want to achieve a bit more by clustering my data (stratification beyond case-control), the actual data-frame contains a column labeled "C" which holds a case-control indicator (here either "Z"

Hi, Thanks Sarah. Unfortunately I did not get a step further. My question, perhaps a bit clearer, is how to display the case control status (or any other arbitrary point label) after clustering in a plot: With a bit of pseudo code, where dataset is a data.frame, parameters are those column names where we find numerical values (no NAs) and nclasses is the desired number of classes. fit <-

Hello all, i am one of the maintainers of the open-source https://repo2docker.readthedocs.io/ tool. The tool builds a container image from a directory. Depending on what it finds in the directory it will install different software for the user. The focus of the tool is to make it easier for researchers to create environments in which their code runs and can then be used to share and reproduce