similar to: R: determine if `suppressMessages()` has been invoked

Awesome, this gets the job done. To answer your question: When using C or C++ via Rinside or within a package, those functions do not listen to suppressMessages, e.g. `Rprintf` keeps printing to the console. Since it's common to use wrapper functions in R anyway, they can run `are_messages_suppressed` and pass the information on to an explicit `verbose` argument of the C / C++ function.

The suppressMessages and suppressWarnings functions currently suppress all the message or warnings that are generated by the input expression. The ability to suppress only specific messages or warnings is sometimes useful, particularly for cases like file import where there are lots of things that can go wrong. Suppressing only messages that match a regular expression has rightly been rejected

Conditions have classes and the condition system is designed around the idea that classes would be used for this sort of thing. That is already how tryCatch and withCallingHandlers discriminate the conditions to handle. Designing and implementing a condition class hierarchy to support this is indeed the hard/tedious part. Best, luke On Thu, 10 Sep 2015, Richard Cotton wrote: > The

Dear all, running the example by D. Eddebuettel (http://dirk.eddelbuettel.com/blog/2011/04/23/) I get an error message. Specifically, the R code I was taking from the above example is ### BEGIN EXAMPLE ### suppressMessages(require(RcppArmadillo)) suppressMessages(require(Rcpp)) suppressMessages(require(inline)) code <- ' arma::mat coeff = Rcpp::as<arma::mat>(a); arma::mat

Dear R Users, I have developed the following code for importing a series of zipped CSV by parallel computing. My problems are that: A) Some ZIP Files (Which contain CSVs inside) are corrupted, and cannot be opened. B) After executing parRapply I can only see the last.warning variable error, for knowing which CSV have failed in each node, but I cannot see all warnings, only 1 at a time. So: *

Hi R-devels, in "Writing R extensions" as well as in the help to .onAttach(), you mention that one could use this function to issue a start-up message/banner for the package. My little wish for Easter: a 'quietly'-type argument for .onAttach() / .First.lib() which is passed through by functions require() and library() respectively, and by means of which one could optionally

Hi When I run my script using ggplot and geom_smooth I get messages that I would like to suppress: p <- ggplot(dataSubset) p <- p + aes(x = as.Date(factor(key),format="%Y%m%d")) + geom_line() p <- p + geom_smooth(span=0.2,se=FALSE,size=0.7) The messages look like this: geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method

R CMD check really hates it when my .onLoad() function contains suppressMessages(library(foo)) However, _and for non-public packages not going to CRAN_ I prefer doing this over using explicit Depends or import statements in the NAMESPACE file as the latter do not give me an ability to make the loading less verbose. With the R universe of packages being as vast as at is, a simple (non-public)

Hi All: I am using httr to download files form a service, in this case a .csv file. When I use httr::content on the result, I get a message. Since this will be in a package. I want to suppress the message, but haven't figured out how to do so. The following should reproduce the result: myURL <-

Dear list, I'm trying to suppress/redirect/squash the output from commands like install.packages, or download.file. The problem is that none of: sink(..., type="message"), sink(..., type="output"), capture.output, suppressMessages are quite doing the trick. Output gets written to the stderr stream, despite any combination of the above suppression commands. According to

Hi everybody, I have to use a function that shows an output message like "# nonzero coefficients ..." followed with a lot of numbers depending on the input. This is very annoying because I have to run that function several times and I don't want to show this information. What I want is to disable that display but I don't know how to do it. I've tried it with

Hi everybody Im on R version 2.11.1 on Mac OS X I am working through David Kahle's example of using ggplot2 with Rgooglemaps (found here: https://github.com/hadley/ggplot2/wiki/Crime-in-Downtown-Houston,-Texas-:-Combining-ggplot2-and-Google-Maps). Excellent page by the way. I have downloaded the data and the code and want to learn how to do this by first simulating David's results and

Does anyone know if there's a reason that proc.time() uses cat() rather than message() to print the output when there has been an error in the process of timing? line 31 of time.R, https://github.com/wch/r-source/blob/e5b21d0397c607883ff25cca379687b86933d730/src/library/base/R/time.R#L31 on.exit(cat("Timing stopped at:", ppt(proc.time() - time), "\n")) This means that

On 12/07/2018 9:46 AM, G?bor Cs?rdi wrote: > On Thu, Jul 12, 2018 at 2:30 PM G?bor Cs?rdi <csardi.gabor at gmail.com> wrote: >> >> On Thu, Jul 12, 2018 at 2:21 PM Duncan Murdoch <murdoch.duncan at gmail.com> wrote: >>> I think I found the bug. The tools::checkRd function only processes >>> \Sexpr's with "stage=render". I think the author

I need confint() for glm() to supress the messages "Waiting for profiling to be done..." because they mess up the caching mechanism of pgfSweave (see https://github.com/cameronbracken/pgfSweave/issues/40). I have read the help page of confint(), but I do not know how to get the help page for the glm() version, if any such help page exists. Is there a general way of turning of output

Hi, I have encountered this error when attempting a One-way Repeated-measure ANOVA with my data. I have read the "Anova in car: SSPE apparently deficient rank" thread by I'm not sure the within-subject interaction has more degrees of freedom than subjects in my case. I have prepared the following testing script: rm(list = ls())

Dear all, For an open-source project that I'm working on (1), which uses R for all its heavy lifting but includes a wrapper shell script, I was hoping to find a way to capture all warnings (and, in fact, errors too), and handle them in my own way. I realise I can do this for a single expression using something like: > f <- function(w) print(w$message) >

On Fri, 15 Jul 2016, Martin Maechler wrote: > Hi Ben (and everyone else), > > as this did not attract attention yet, let me start > >>>>>> Ben Bolker <bbolker at gmail.com> >>>>>> on Mon, 4 Jul 2016 11:49:40 -0400 writes: > > > Does anyone know if there's a reason that proc.time() uses cat() > > rather than

Hello, Suppose in the following code, PROTECT(sr = R_tryEval( .... )) sr is a RAWSXP vector. I wish to return another RAWSXP starting at position 13 onwards (base=0). I could create another RAWSXP of the correct length and then memcpy the required bytes and length to this new one. However is there a more efficient method? Regards Saptarshi Guha

Dear list, (this is a follow up from a previous query) Why does R CMD INSTALL write most of its messages to stderr? If it wrote to stdout, then we could capture its output within an R session when calling sink("stdout.txt", type="output") install.packages("MASS", type="source") sink() As it stands, the stderr messages can't be captured via