similar to: What is the most efficient practice to develop an R package?

Mehmet, That is a loaded topic, not unlikely other topics preoccupying us these days. There is package.skeleton() in base R as you already mentioned. It drove me bonkers that it creates packages which then fail R CMD check, so I wrote a wrapper package (pkgKitten) with another helper function (kitten()) which calls the base R helper and then cleans up it---but otherwise remains faithful to it.

Dear All, I am a beginner creating R packages. I followed the Leisch (2009) tutorial and the document ?Writing R Extensions? to write an example. I installed R 2.12.2 (I also tried R2.13.2), the last version of Rtools and the recommended packages in a PC with Windows 7 Home Premium. I can run R CMD INSTALL linmod in the command prompt and the R CMD check linmod. The following outputs are

Hi the devel list. I am adapting the package.skeleton to S4 classes and methods I would have been very proud to post a new working function on this list. Unfortunately, I do not manage to solve all the problems. Mainly - sys.source does not compile a file with setClass - dumpMethod does not exists yet In the following code, thise two problems are notified by a line ################# Still

Hi the list, I guess I find an other bug (the first one is at the end off this mail) in package.skeleton. It occurs when we give as code_file some file that are not in the current directories. If we give a single file to code_file (like code_file=3D"riri/fifi.R"), it does not reconize fifi.R as a regular name and change it to riri/zfifi.R If we give several file to code_file (like

Hi the list, I am using package.skeleton on a file that has a very classic name, but package.skeleton detect it as a invalid name : --- 8< ------- package.skeleton(name="packClassicBis",code_files="./packClassic/R/progClassic.R") Cr?ation des r?pertoires... Cr?ation de DESCRIPTION... Cr?ation de 'Read-and-delete-me'... Recopiage des fichiers de code... Cr?ation

Hi again, yesterday I mailed this query however I could not see this on the mail list. Therefore, I am reposting it again. I was using package.skeleton() function to create the skeleton of my package in windows. Here is my attempt: rm(list = ls()) setwd("F:/R_PackageBuild") package.skeleton("trial1", namespace = TRUE, code_files = "F:/R_PackageBuild/trial.r") In

Hi-- I'm creating an R package, I've read through "Writing R Extensions" and the package.skeleton() R page-- and I'm still running into a little confusion. I would greatly appreciate any advice you can provide. Where do I run my following line of code from?: > package.skeleton(name = "a", code_files = "EsetObject.r" I'm currently running it from

> Did you read this? > https://cran.r-project.org/doc/contrib/Leisch-CreatingPackages.pdf > > Maybe it could give you some insight in how to create package. That resource is ~9 years old. There are more modern treatments available. You can read mine at http://r-pkgs.had.co.nz. Hadley -- http://hadley.nz

i am trying to build an R package and submit to CRAN. i am using - package.skeleton(name="xxzz", code_files = "H:\xxzz.R") to build package xxzz. --------------------------- The code above generates 'xxzz' folder. It seems that I have to manually edit the files generated in xxzz folder (to add titles, authors, etc) -------------------------- But when I re-run -

Dear useRs, I have some trouble with the calculation of Cook's distance in R. The formula for Cook's distance can be found for example here: http://en.wikipedia.org/wiki/Cook%27s_distance I tried to apply it in R: > y <- (1:400)^2 > x <- 1:100 > lm(y~x) -> linmod # just for the sake of a simple example >

Hi the devel list I am testing package.skeleton in R 2.7 (download today). I get an error that I do not understand. I guess it is not an error from my code since I have no probleme when I source it. So is it a error in package.skeleton? Here is my code : --- 8< ------ File essai.r ------------- setClass( Class="ClusterizLongData", representation=representation(

>>> Did you read this? >>> https://cran.r-project.org/doc/contrib/Leisch-CreatingPackages.pdf >>> >>> Maybe it could give you some insight in how to create package. >> >> That resource is ~9 years old. There are more modern treatments available. You >> can read mine at http://r-pkgs.had.co.nz. >> >> Hadley >> Thanks both.

I'm using package.skeleton() windows 7, 64 bit. When I try to specify the code_files package_skeleton(....code_files = " some directory") I get a warning that that the connection cannot be opened and I get a Permissions denied error. I'm running R as admin and I've given everybody full permissions on the folder. What am I missing [[alternative HTML version deleted]]

Hi there, I am stuck trying to solve what should be a fairly easy problem. I have a data frame that essentially consists of (ID, time as seqMonth, variable, value) and i want to find the regression coefficient of value vs time for each combination of ID and Variable. I have tried several approaches and none of them seems to work as i expected. For example, i have tried:

Hello useRs, I'm trying to use the Roxygen package. Here my code file : #' A packge to check Roxygen's sanity #' @name helloRoxygen-package #' @docType package NA And my R code to generate the package : library(roxygen) package.skeleton("helloRoxygen", code_files = "roxy.r", force = T) roxygenize("helloRoxygen", "helloRoxygen",

Dear R-Helpers Given a function like foo <- function(data,var1,var2,var3) { f <- formula(paste(var1,'~',paste(var2,var3,sep='+'),sep='')) linmod <- lm(f) return(linmod) } By typing foo(mydata,'a','b','c') I get the result of the linear model a~b+c. How can I rewrite the function so that the formula can be updated inside the function,

Hi, folks linmod=y~x+z summary(linmod) The summary of linmod shows the standard error of the coefficients. How can we get the sd of y and the robust standard errors in R? Thanks! [[alternative HTML version deleted]]

Hi, folks, As seen in the following codes: x1=rlnorm(10) x2=rlnorm(10,mean=2) y=rlnorm(10,mean=10)### Fake dataset linmod=lm(log(y)~log(x1)+log(x2)) After the regression, I would like to know the mean of y. Since log(y) is normal and y is lognormal, I need to know the mean and variance of log(y) first. I tried mean (y) and mean(linmod), but either one is what I want. Any tips? Thanks in

Hi Hadley Yes, I found it too quite easily by Google. Cheers Petr > -----Original Message----- > From: Hadley Wickham [mailto:h.wickham at gmail.com] > Sent: Thursday, September 14, 2017 3:33 PM > To: PIKAL Petr <petr.pikal at precheza.cz> > Cc: Alexander Shenkin <ashenkin at ufl.edu>; r-help <r-help at r-project.org> > Subject: Re: [R] To implement OO or not

Hi folks, I created a subset of a dataframe (i.e., selected only men): subdata <- subset(data,data$gender==1) After a residual diagnostic of a regression analysis, I detected three outliers: linmod <- lm(y ~ x, data=subdata) plot(linmod) Say, the cases 11,22, and 33 were outliers. Here comes the problem: When I want to exclude these three cases in a further regression analysis, - for