similar to: Working with additional input for user defined function

Dear all, as per my understanding, outer() function is to facilitate 2-dimensional function evaluation, like to evaluate f(x,y) for different values of x and y. However I have slightly modified version of that, where x is a matrix with, say, 5 rows and 2 columns and y is a vector. Let take following example: fn1 <- function(x1, x2, y) return (x1+x2+y) x <- matrix(1:10, nc = 2) y

Here, I have following generic function: Fn1 <- function(x) { ........ return(x) # assume x is calculated in previous steps ......... return(y) # assume y is calculated in previous steps .......... return(z) # assume z is calculated in previous steps } In this case what fn1

Dear all, I have a problem with the cat() function. Let say I have following: fn1 <- function(n = 5){ mat <- matrix(rnorm(5*5), 5, 5) cat(as.character(mat)) return(n) } However when I run above function I get this: > fn1() -0.601930631438248 -1.16950049447942 0.469257329394626 -1.39766868242906 -1.02580943892082 1.4067931110327 -1.07245318857022 -0.0205043699310245 0.234628727206755

Hi, there is a function Skewness() under fBasics package. If I type "skewness", I get followings: > skewness function (x, ...) { UseMethod("skewness") } <environment: namespace:timeDate> Would be great if someone tell me how to see the codes of this function. 2ndly suppose I create following function: fn1 <- function(x) return(x+2) How

Hi there, I have to extract some relevant portion from a defined string, which is a mix of numeric and character. However this has following sequence: Some String - Some numerical - "c/C" (or "p/P") - then again some set of numbers. Examples of such string is "fdahsdfcha163517253c463278643" or "fdahsdfcha163517253C463278643" or

Hi Joerg, I would love to have this behavior(solaris/hp-ux linkers used to do this). cat > main.c << \! int main() { fn(); fn1(); } ! cat > fn.c << \! int fn() { return 0; } ! cat > fn1.c << \! int fn1() { return 0; } ! gcc -c -fPIC main.c fn.c fn1.c ld -shared fn1.o -o libfn1.so ld -shared fn.o -o libfn.so -L. -lfn1 ld main.o libfn.so ld: warning:

Happy 2013! Can someone with more knowledge of edge case scoping/eval rules explain what is happening below? Happens in all the versions of R I have on hand. Behavior itself is confusing, but ?as.environment also provides no clue. The term used in that doc is 'search list', which is ambiguous, but the see also section mentions search(), so I would *think* that is what is intended.

On Aug 22, 2008, at 4:40 PM, Devang Patel wrote: > The LLVM passes are responsible to take appropriate actions based on > Function > Notes associated with function definition. For example, > > define void @fn1() notes("opt-size=1") { ... } > > The function fn1() is being optimized for size without losing > significant > performance. The inliner will

Full_Name: James Signorovitch Version: 2.2.1 OS: WinXP Submission from: (NULL) (134.174.182.203) In the code below, fn1() and fn2() fail with the messages given in the comments. Strangely, fn2() fails for all data sets I've tried except for those with 100 rows. The same errors occur if glm() is used in place of lm(), or if R 2.1.1 is used on a unix system. Thanks for looking into this.

Dear List, I've been looking tirelessly for a solution to this dilemma but without success. Perhaps someone has an idea that will guide me in the right direction. Suppose I have the following data.frame: DF = data.frame(X = c(114.5508, 114.6468, 114.6596, 114.6957, 114.6828, 114.8903, 114.9519, 114.8842, 114.8579, 114.8489), Y = c(47.14094, 46.98874, 46.91235, 46.88265, 46.80584, 46.67022,

Hello list, I found that system.time works correctly when I used "<-" to assign a value to a variable but when I happened to use "=" instead of "<-", R gave an error message: "Error in system.time(your argument here...)". It happened with a few functions I tried. Is this a bug or is there any circumstances that "=" cannot be used for

Dear all, I would really appreciate if somebody can help me to understand what does the phrase "Vectorize your function" mean? And what is the job of Vectorize() function in doing that? I have read many threads where experts suggest to Vectorize the function, which will speed up entire calculation (and more elegant ofcourse.) I used to think that vectorizing function means, to create a

On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com> wrote: On Thu, Dec 15, 2016 at 11:38 AM, David Blaikie <dblaikie at gmail.com> wrote: On Thu, Dec 15, 2016 at 11:26 AM Teresa Johnson <tejohnson at google.com> wrote: Trying to wrap my brain around this, so a few questions below. =) Sure thing - sorry, did assume a bit too much arcane context here.

For those who suggest other ways to do this, I ALREADY HAVE ANOTHER DESIGN SOLUTION, DESCRIBED AT THE END. That being said, I want to know if it's possible to reference a slot in an S4 class from another slot, i.e. I'd like to have the "self.*" semantics of Python so that I can reuse a slot. That is, for various reasons it would be nice to be able to do something like:

On Thu, Dec 15, 2016 at 2:08 PM, David Blaikie <dblaikie at gmail.com> wrote: > On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com> > wrote: > > On Thu, Dec 15, 2016 at 11:38 AM, David Blaikie <dblaikie at gmail.com> > wrote: > > > > On Thu, Dec 15, 2016 at 11:26 AM Teresa Johnson <tejohnson at google.com> > wrote: >

Hello I am struggling to accomplice an idea which is as follows: I have a vector say: a <- c("a", "b", "c", "a") and another: b <- c("m", "n", "o", "m"). Length of those 2 vectors are essentially be same. Here task is to check the duplicates in the vector 'a' and then to check whether any duplicates are

On Thu, Dec 15, 2016 at 4:17 PM Teresa Johnson <tejohnson at google.com> wrote: > On Thu, Dec 15, 2016 at 2:08 PM, David Blaikie <dblaikie at gmail.com> wrote: > > On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com> > wrote: > > On Thu, Dec 15, 2016 at 11:38 AM, David Blaikie <dblaikie at gmail.com> > wrote: > > > > On

On Thu, Dec 15, 2016 at 4:20 PM, David Blaikie <dblaikie at gmail.com> wrote: > > > On Thu, Dec 15, 2016 at 4:17 PM Teresa Johnson <tejohnson at google.com> > wrote: > >> On Thu, Dec 15, 2016 at 2:08 PM, David Blaikie <dblaikie at gmail.com> >> wrote: >> >> On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com>

I have a simple data base and I want to produce tables for each variable. I wrote a simple function fn1 <- function(x) {table(x)} where x is a matrix or data.frame. and used apply to produce a list of tables. Example below. How do I apply the colnames from the matrix or names from the data.frame to label the tables in the results in the list. I know that I can do this individually but

I have two more or less parallel dataframes that are giving me different results on one subset of variables. I know that I assembled the 2 dataframes slightly differently but I don't see why I am getting this result because one set of variables are labelled and the other is not. Variable names are the same, etc. as far as I can acertain. The only diffference seems to be that bdata variables