similar to: cat() in proc.time?

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

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 message() to print the output when there has been an error > in the process of

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

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

Dear R user, I am trying to understand this following code. Basically it's using a permutation method to calculate p value. But I would like to know exactly how the permutation works. #calculates null statistics tt0 <- 0 set.seed(123) B <- 100 for(i in 1:B) { v <- sample(y) tt0 <- c(tt0,ttest(dat,v)$tt) } tt0 <- tt0[-1] #form p-values att <- abs(tt) att0 <- abs(tt0) v

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 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

Thank you sir for your prompt reply. Currently i am stuck at point where I need to call an available Matlab program from an R 2.4.0 interface. How can I do this? I have downloaded the R.matlab file and also the manual in pdf. But still i am not able to get through the problem. I will be grateful to you if you can elaborate me on this. Awaiting your reply, regards, Bhanu Kalyan K

Hi all,I'm trying to build a SpatialLines object from a list that contains 124 river segments. Each segment in the list contains the x,y coordinates. I'm using the following code to create the SpatialLines object, but it just retrieves one segment. Any suggestions? test.func = function(x){ ??? for (i in 1:length(x)) {??????? tt[[i]] <- x[i]; tt[[i]]? = Line(tt[[i]]); tt[[i]]? =

Hi Ashraf, It is not obvious to me what your structures are but one problem in your function is the assignment tt1 <- SpatialLines(list(tt[[i]])). This will set tt1 to just have one item. Consider the following test.func <- function(x) { tt1 <- list() for ( i in ... ) { ... tt1[[i]] <- SpatialLines(tt[[i]]) } return(tt1) } HTH, Eric On Mon, Sep 25,

Hi Eric, Thanks for the help.But this will not solve the problem as it will generate a list and what I need is an object of class sp using SpatialLine function from sp package.So, I need to convert each matrix to coordinates and then to a line and then to a spatial line as figured in the code. My data structure is a list of 141 matrices.Each matrix represents coordinates of the river lines

I am the proud owner of a new laptop since my old one died the other day. Currently I have a dual-boot Windows 7 Home and Ubuntu 12.04 . I'll leave the Windows problems for another post. I know practically nothing about Linux so I am probably doing something stupid but ... at the moment I cannot seem read or write files in Ubuntu. I am not having any problem saving other documents to the

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

The following creates a time series tt1 whose values rise from 1 to 20 and another time series tt2 each of whose values are 10 larger than the corresponding value in tt1. When we attempt to bind them together as columns, the entry after Dec 1960 is erroneously listed as NA 1960 instead of Jan 1961. If n is changed to either 19 or is changed to 21 in the example below, the example suddenly

Dear All I am trying to graph a proportion and CI95% by a factor with ooplot (any other better solution ?) It works well until I try to add the confidence interval. this is the error message and and a description of the data: > dat1 PointEst TT1 1 3.6 TT2 2 5.0 TT3 3 5.8 TT4 4 11.5 TT5 5 7.5 TT5 6 8.7 TT7 7 17.4 > dat2

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.

Hi all, I would like to create a function that detects if suppressMessages has been invoked upon running that same function. I was looking through {https://cran.r-project.org/doc/manuals/r-release/R-ints.html}, but I haven't found an answer. I do not understand **how** suppressMessages works. I have not received an answer on SO

Hi, I am stuck on something for a couple days, I am almost about to give up. This looks simple, but I can't figure out. I hope I can get some help here. I am trying to do some symbolic and numerical derivations. Let me explain the problem. Let's say, I have a matrix as follows: > load <- matrix(c(3,0,1,4,1,3),nrow=3,ncol=2,byrow=TRUE) > > load [,1] [,2] [1,] 3 0

I'm using specify.model for the sem package. I can't figure out how to represent the residual errors for the observed variables for a CFA model. (Once I get this working I need to add some further constraints.) Here is what I've tried: model.sa <- specify.model() F1 -> X1,l11, NA F1 -> X2,l21, NA F1 -> X3,l31, NA F1 -> X4,l41, NA F1 -> X5, NA, 0.20

Hi, exist in any package a function which "work with sequences". Easy example 10 factors with 2 levels, are if i'm correct theoretical 2^10 "sequences" possible. But i have more than 2 levels and perhaps more than 10 factors and interested for the top10 "sequence's" with higehest freqs and wish to know which type of sequence it is. Many thanks for a