similar to: modifying some package code

Hello, Does anyone on this list know what inner_perc_table is or where it is typically found? I am trying to modify some source code and it is used with the .C() function. When I try and run it, it states that 'inner_perc_table is not found'. It is only called in such a way and isn't defined at any point in the previous code in which the function works. Should this be in some other

I have a use case with tcltk-package where I need to repeatedly call Tcl/Tk functions very quickly. For such purpose, the standard R-interface turned out to be too slow, and better option has been to call package's C-function dotTcl directly from my own C-code. Before R 4.4.0 it was possible to use getNativeSymbolInfo("dotTcl","tcltk")$address (or

lme() and gls() models from the nlme package are all crashing with R.3.4.0. Identical code ran correctly, without error in R 3.3.3 and earlier versions. The behavior is easily demonstrated using one of the examples form the lme() help file, along with two simple variants. I have commented the errors generated by these calls, as well as the lines of code generating them, in the code example below.

On 11 May 2017 at 10:17, Erwan Le Pennec wrote: | Dear all, | | I've stumbled a similar issue with the package cluster when | compiling the 3.4.0 version with the settings of Fedora RPM specs. | Compiling R with the default setting of configure yields a version that | works for cluster... and nlme. | | I did not find the exact option that was the cause of this issue | but

Full_Name: Per Broberg Version: 1.00 OS: Windows 98 Submission from: (NULL) (62.20.231.229) I tested my installation with the following: > library(lme) Loading required package: nls Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "C:\PROGRAM\R\RW1000/library/nls/libs/nls.dll": LoadLibrary failure > data(Orthodont) > fm1

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

Gabriel, Thanks for that! I guess I really should have figured that one out sooner, huh? I understand why that wouldn't be CRAN-compliant. But then, what *is* the proper way to do it? Is there any way I can call unexported functions from another package and have it accepted by CRAN? Also, if I instead re-write the random variable generating functions, do you have any idea of where the

Hello, Simple question that I am stuck on and can't seem to find an answer in the help files currently. I have a list which contains repeated ID's. I would like to have R count the number of ID's. For example: ID=c(1,1,1,1,2,2,2,2,3,3,3,3) as.data.frame(ID) Clearly, there are 3 groups. How would I have R give me the summary: ID 3 Many thanks, Charles [[alternative HTML

A general question that I have been pursuing for some time but have set aside. When finishing some analysis, I can have multiple matrices that have specific column names. Ideally, I would like to combine these separate matrices for a final output as a csv file. A generic example: Matrix 1 var1A var1B var1C x x x x x

Hello, I am trying to reformat some data so that it is organized by group in the columns. The data currently looks like this: group X3.Hydroxybutyrate X3.Hydroxyisovalerate ADP 347 4 4e-04 3e-04 5e-04 353 3 5e-04 3e-04 6e-04 359 4 4e-04 3e-04

all, I've been looking into a secure way of accessing a remote loopback encrypted partition securely via openssh. The basic idea I have currently is that a file/partition is connected to /dev/loop0 on a remote server, which I have an ssh connection to. I hold the key (for cryptsetup via dm_crypt) on the local client. I'd like to mirror the loop device of the server on the client.

Hello R users, This is more of a convenience question that I hope others might find useful if there is a better answer. I work with large datasets that requires multiple parsing stages for different analysis. For example, compare group 3 vs. group 4. A more complicated comparison would be time B in group 3 of group L with B in group 4 of group L. I normally subset each group with the

I asked Tomas. Apparently this works: getNativeSymbolInfo("dotTcl",PACKAGE=getLoadedDLLs()$tcltk) and the tcltk behavior was changed by r84265 | hornik | 2023-04-15 08:44:36 +0200 (Sat, 15 Apr 2023) | 1 line Try forcing symbols in ff calls. Index: library/tcltk/src/init.c =================================================================== --- library/tcltk/src/init.c

Hi, When loading a package that provides the user-supplied RNG hook user_unif_rand, calling getNativeSymbolInfo("user_unif_rand") returns informations about the loaded symbol. I am using this to identify which package currently provides the RNG hook. The results are the same on windows and linux if only one library provides the hook. If one loads a second package that provides this

Well, For this particular use case why not just transform the parameters at the R level and then call the existing function? Is there not a closed form mapping? ~G On Jul 1, 2016 2:50 PM, "Joshua Ulrich" <josh.m.ulrich at gmail.com> wrote: > On Fri, Jul 1, 2016 at 6:13 AM, Luis Usier > <luis.henrique.usier at gmail.com> wrote: > > Gabriel, > > > >

Generic question... I am familiar with generic power calculations in R, however a lot of the data I primarily work with is multivariate. Is there any package/function that you would recommend to conduct such power analysis? Any recommendations would be appreciated. Thank you for your time, Charles [[alternative HTML version deleted]]

Hi all, Looking at the body for the function rnorm, I see that the body of the function is: .Call(C_rnorm, n, mean, sd) I want to implement functions that generate normal (and other) random variables. Now, I understand that I can perfectly well just call the R wrapper for these functions and that will be almost indistinguishable for most purposes, but for whatever reason I wanted to try and

I apologize if this is out of line or the incorrect venue to make my request. I have spent months, off and on, attempting to download a large iso file through my Linux desktop to my Linux-based server. It was frustrating and damn near impossible. I kept suffering failures when the file size hit 2Gig. I asked around in several newsgroups, I believe this mailing list, and some web forums to no

To R users, I am trying to use cut2 function from the 'Hmisc' library. However, when I try and run the function on the following variable, I get an error message (displayed below). I suspect it is because of the NA but I have no idea how to address the error. Many thanks to any insights. structure(list(var1 = c(97, 97, 98, 98, 97, 99, 97, 98, 99, 98, 99, 98, 98, 97, 97, 98, 99, 98,

On Mon, 3 Apr 2017, Gene Heskett wrote: >>> Nut, IIRC, can do a periodic battery test by putting it offline, >>> using the battery, for a predetermined length of time, weekly, >>> monthly etc, >> >> We definitely don't want that in this instance either! > > Why not? If the battery has a holdup time of 5 minutes when its fresh, Because in this