similar to: large dataframes to ascii

Hi, I have made a tiny package for saving dataframes in ASCII format. The package contains functions save.table() and save.delim(), the first mimics (not completely) write.table() and the second uses just different default values, suitable for read.delim(). The reason I have written the functions is that I have had problems with saving large dataframes in ASCII form. write.table() essentially

The survival package, like many others, has several helper functions that are not declared in the namespace, since their only use is to be called by other "main" functions of the package.? This works well since the functions in the survival namespace can see them --- without ::: arguments --- and others don't. Until a situation I ran into this week, for which I solicit comments

Hi all, I have a C function, say Cfun, that calls Lapack's DGEMM routine and I need to create a shared library to use Cfun inside R. The C file is the following #include<stdio.h> #include<R.h> #include<R_ext/Lapack.h> void Cfun(double *res, double *X, int *n, int *q) { char *ptr_TRANSA, TRANSA='T', *ptr_TRANSB, TRANSB='N'; ptr_TRANSA=&TRANSA;

Hi, I'm Ryo Ota. I'm using LLVM 3.8.1. I have a quesion about inlining function in C++ API. I'd like to inline some functions in a module in the same way as `opt -inline` command. But my C++ code didn't work what I want to do. For example, by using `opt -inline` command,`main.ll` is converted into the `inlined.ll`(`opt` command worked what I want to do) [main.ll (Not inlined)]

Mark II of the patch set. The first patch (dynsumlen2.patch) increments the protocol version to support per-file dynamic block checksum sizes. It is a prerequisite for varsumlen2.patch. varsumlen2.patch implements per-file dynamic block and checksum sizes. The current block size calculation only applies to files between 7MB and 160MB setting the block size to 1/10,0000 of the file length for a

This is a seemingly simple problem - hopefully someone can help. Problem: we have two integers. We want (1) all the common factors, and (2) all the possible products of these factors. We know how to get (1), but can't figure out a general way to get (2). Example: 40 and 80 have these factors: c(1,2,2,2,5) and c(1,2,2,2,2,5). We can use match() to get the common factors c(1,2,2,2,5). What

Mark, that's actually a fair statement, although your extra operator doesn't cause construction at parse time. You still call paste0(), but just add an extra layer on top of it. I also doubt that even in gigantic loops the benefit is going to be significant. Take following example: atestfun <- function(x){ y <- paste0("a very long", "string for

> 2. change cfun[[1]] <- quote(cord.work) to cfun[[1]] <- > quote(survival:::cord.work). You say this will mess up your test bed. > That suggests that your test bed is broken. This is a perfectly legal > and valid solution. Valid in a package, but forces code to call a loaded library version of a function rather than (say) a 'source'd user-space version that is under

Hi All, I have some questions regarding the R C API. Let's assume I have a function which is defined as follows: R file: myfunc <- function(a, b, ...) .External(Cfun, a, b, ...) C file: SEXP Cfun(SEXP args) { args = CDR(args); SEXP a = CAR(args); args = CDR(args); SEXP b = CAR(args); args = CDR(args); /* continue to do something with remaining arguments in "..."

I am trying to solve an integral in R. However, I am getting an error when I am trying to solve for that integral. The equation that I am trying to solve is as follows: $$ C_m = \frac{{abs{x}}e^{2x}}{\pi^{1/2}}\int_0^t t^{-3/2}e^{-x^2/t-t}dt $$ [image: enter image description here] The code that I am using is as follows: a <- seq(from=-10, by=0.5,length=100) ## Create a function to compute

Hi All, I would like to make an invitation to make a collective package with all functions related to TABLES. I know that there are many packages with these functions, the original idea is collect all this functions and to make a single package, because is arduous for the user know all this functions broadcast in many packages. So, I think that the original packages can continue with its

Can't seem to get the code below working. It gets stuck on line 24 inside the function hm; comments show the line in question. The function hm is called by sapply and is at the bottom of the code. Other stuff above line 24 works correctly including the first couple of lines of the function hm. Should I be using a different apply function or am I doing something wrong with xmlTreeParse ?

Hi, xfs is supposed to detect the layout of a md-RAID devices when creating the file system, but it doesn?t seem to do that: # cat /proc/mdstat Personalities : [raid1] md10 : active raid1 sde[1] sdd[0] 499976512 blocks super 1.2 [2/2] [UU] bitmap: 0/4 pages [0KB], 65536KB chunk # mkfs.xfs /dev/md10p2 meta-data=/dev/md10p2 isize=512 agcount=4, agsize=30199892 blks

I've recently updated the coxme package, which calls internal routines from the bdsmatrix package.? (It is in fact mentioned as an example of this in the Extensions manual.) The call connections are a blocks like this, one for each of the 9 called C routines. void bdsmatrix_prod4(int nrow,??? int nblock,?? int *bsize, ??????????????????? double *bmat, double *rmat, ??????????????????? int

Dear R community, I have a medium sized matrix stored in variable "t" and a simple function " countRows" (see below) to count the number of rows in which a selected column "C" matches a given value. If I count all rows matching all pairwise distinct values in the column "C" and sum these counts up, I get the number or rows of "t". If I delete the

Le 30/05/2019 ? 01:23, Mauro Carvalho Chehab a ?crit?: > Mostly due to x86 and acpi conversion, several documentation > links are still pointing to the old file. Fix them. > > Signed-off-by: Mauro Carvalho Chehab <mchehab+samsung at kernel.org> > --- > Documentation/acpi/dsd/leds.txt | 2 +- > Documentation/admin-guide/kernel-parameters.rst | 6

Le 30/05/2019 ? 01:23, Mauro Carvalho Chehab a ?crit?: > Mostly due to x86 and acpi conversion, several documentation > links are still pointing to the old file. Fix them. > > Signed-off-by: Mauro Carvalho Chehab <mchehab+samsung at kernel.org> > --- > Documentation/acpi/dsd/leds.txt | 2 +- > Documentation/admin-guide/kernel-parameters.rst | 6

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

- move the space needed by mountpoint mapping to an own function, outside of the checking loop - remove the minimum limit of 100M on partitions, since existing partitions that we check (e.g. /boot) may be smaller than that - in case /boot is not on a separate mountpoint, enforce the space check on the root mountpoint instead, since it is where /boot is in that case --- v2v/v2v.ml | 55

I'm trying to insert rows of a data.frame into a database table, or update where the key fields of a record already exist in the table. I've come up with a possible solution below, but would like to hear if anyone has a better solution. # The problem demonstrated: # Create a data.frame with test values library(RODBC) tbl <- data.frame( key1 = rep(1:3, each = 2), key2 =