similar to: can't install nser...

It says that nser requires the most recent version of magrittr that you do not have installed. You must update magrittr before attempting to install nser: update.packages(oldPkgs = "magrittr") or at the prompt you were presented before, choose to update magrittr before installing nser. On Sun, Apr 9, 2023, 17:55 akshay kulkarni <akshay_e4 at hotmail.com> wrote: > Dear

Hi everyone, now I am trying to finish writing the code (I had asked for assistance on subtracting arrays) This is what I what I am running in R: > source("/home/ie/Documents/TTU/GA_Research/GLUE/R-Project/R_GLUE_Example/NSEr.R") NSEr <- function (obs, sim) { {jjh <- (as.vector(obs) - sim)^2 Xjjhs <- apply(Xjjh, 2, sum) Yii <- (obs - mean(obs))^2 Yiis <- apply(Yii, 2,

I am trying to understand the function acf stats:::acf shows me the function I am having trouble understanding the usage "$acf" in the following acf <- array(.C(R_acf, as.double(x), as.integer(sampleT), as.integer(nser), as.integer(lag.max), as.integer(type == "correlation"), acf = double((lag.max + 1L) * nser * nser), NAOK =

Dear list, Various helpers exist in the wild to install older archived versions of CRAN packages, for example `remotes::install_version() ` or `versions::install.version()`. The former makes use of an ?archive.rds? file stored in the CRAN /Meta directory: https://github.com/r-lib/remotes/blob/9b5dc29102a486df2f42c88bb19027a7cd54a721/R/install-version.R#L68 Given its existence, I was

I think filter function in ts library has a typo. Line 34 in filter.R reads if(NROW(init) != 1 && NROW(init) != nser) I guess it should be if(NCOL(init) != 1 && NCOL(init) != nser) Please let me know, if I am wrong. Mehmet Balcilar ______________________________________________________ Get Your Private, Free Email at http://www.hotmail.com

Hi All; This problem has come about from trying to learn some of the review practices recommend by rOpensci. One of them is to use the package goodpractice. After installing goodpractice, it kept failing on my own packages which are under development, and I was concerned something was funny in my own , so I have a fork of the package rerddap, and I tested goodpractice on that. I get the

withr:::set_makevars() can give that error if the makefile named by the 'old_path' argument (default "~/.R/Makevars) contains more than one definition of a variable of the form 'name=value'. You can see what file it is reading and its contents by using the trace() function: trace(withr:::set_makevars, quote({ cat(old_path, "\n"); writeLines(paste0(" ",

On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote: > I used bcond locally and wrongly assumed that fedpkg build would > support --with BCOND and --without BCOND. Instead, the way to activate > it is to change to "%bcond_with check" and then revert to > "%bcond_without check". The only difference with bootstrap is that > "bootstrap" is recognized

Hello! I have two questions. First of all, I have a problem dealing with acf (Autocovariance function) and need help. First I defined a time series, x, which is a vector created by x <- ts(rnorm(200)). So I plugged the series directly into the acf function, acf(x) and an error message popped up as: Error in .C("acf", as.double(x), as.integer(sampleT), as.integer(nser), :

Hello, I propose two small changes to spec.pgram to get modest speedup when dealing with input (x) having multiple columns. With plot = FALSE, I commonly see ~10-20% speedup, for a two column input matrix and the speedup increases for more columns with a maximum close to 45%. In the function as it currently exists, only the upper right triangle of pgram is necessary and pgram is not returned by

On 06/06/2020 3:04 a.m., Patrick Schratz wrote: > Dear list, > > Various helpers exist in the wild to install older archived versions of > CRAN packages, for example `remotes::install_version() ` or > `versions::install.version()`. > The former makes use of an ?archive.rds? file stored in the CRAN > /Meta directory: >

Dear R-devel, The most popular piping operator sits in the package `magrittr` and is used by a huge amount of users, and imported /reexported by more and more packages too. Many workflows don't even make much sense without pipes nowadays, so the examples in the doc will use pipes, as do the README, vignettes etc. I believe base R could have a piping operator so packages can use a pipe in

There appears to be a mild bug, or at least a deficiency, in rnorm. The bug becomes apparent when one looks at extremes of the squares of the values generated by rnorm; rnorm is not generating quite enough extreme values. The R version that I am using is 1.4.1; I never got around to installing 1.5.0, and now since 1.5.1 is about to come out .... However, checking the 1.5.0 release notes

CRAN, by relying on the powerful package management system that is part of R, provides an unparalleled framework for extending R with nearly 20k packages. We recently encountered an issue that highlights a missing element in the otherwise outstanding package management system. So we would like to start a discussion about enhancing its feature set. As shown below, a mechanism to force

Hi John, Thanks, but the Bizzaro pipe comes with many flaws though : * It's not a single operator * It has a different precedence * It cannot be used in a subcall * The variable assigned to must be on the right * It doesn't trigger indentation when going to the line * It creates/overwrite a `.` variable in the worksace. And it doesn't deal gracefully with some lazy evaluation edge

library("lintr") Error: package or namespace load failed for 'lintr' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]): there is no package called 'magrittr' library("magrittr") Error in library("magrittr") : there is no package called 'magrittr' session.Info(): R version 3.4.4 (2018-03-15) Platform:

Dear colleagues, preparing a release of my package ?polmineR? I encountered the following issue with a new warning issued when running R CMD check with the --as-cran option on Debian with R-devel. To reexport the magrittr pipe operator %>%, my package adopted I snippet you?d see in the dplyr package, for instance: #' @importFrom magrittr %>% #' @export magrittr::`%>%` The

I have the following timeseries "tab" ===================================== > str(tab) mts [1:23, 1:2] 79.5 89.1 84.9 75.7 72.8 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr [1:2] "Ipex...I" "Omel...E" - attr(*, "tsp")= num [1:3] 2006 2008 12 - attr(*, "class")= chr [1:2] "mts" "ts" > tab

Hola, cuando ejecuto Rmarkdown los gráficos plotly no salen. No hay ningún error pero en el resultado final no se obtiene nada. Si ejecuto plotly desde R los gráficos primero salen en blanco y es necesario "recargar" para poderlo ver, si lo inspeccionas no sale nada. El equipo en el que me pasa esto es: platform x86_64-w64-mingw32 arch x86_64 os mingw32

On Sat, 5 Oct 2019 at 17:15, Hugh Marera <hugh.marera at gmail.com> wrote: > > How is your argument different to, say, "Should dplyr or data.table be > part of base R as they are the most popular data science packages and they > are used by a large number of users?" Two packages with many features, dozens of functions and under heavy development to fix bugs, add new