search for: fn3

...ue. 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. Either way Fn1() below can't really be explained. Major question is what in the world is Fn1 doing, and why is Fn2 not equal to Fn3? [ Fn3/Fn4 are doing what I want. ] Fn1 <- function(x="test",pos=-1,env=as.environment(pos)) { ls(env) } Fn2 <- function(x="test",pos=-1,env=as.environment(pos)) { force(env) ls(env) } Fn3 <- function(x="test",pos=-1,env=as.environment(pos)) { # should be...

I'm trying to write a simple function that does the following: [command] xify(5.2) [output] XXX.XX [command] xify(3) [output] XXX Any simple solutions (without using python/perl/unix script/...)? Thanks, Saghir --------------------------------------------------------- Legal Notice: This electronic mail and its attachments are i...{{dropped}}

...ement_t *b_ptr, unsigned char changed) { if (a_ptr && b_ptr && a_ptr->idx == b_ptr->idx) { if (!changed && dst_ptr && dst_ptr->idx == a_ptr->idx) { /* Do something */ } else { changed = 1; if (!dst_ptr) dst_ptr = fn3(); else dst_ptr->idx = a_ptr->idx; /* Do something. */ } } else { changed = fn4(); } return changed; } unsigned char fn1 (element_t *a_ptr, element_t *b_ptr) { unsigned char changed = 0; while (b_ptr) { if (!a_ptr || a_ptr->idx == b_ptr...

Hello everyone, What is the best way to have R print a title and then skip a line (both without the [1] line preffix) when writing a function that prints an object (to the console)? Simplified example: fn3<-function(x,y){ c1<-cov(x,y) print(c1)} data1<-data.frame(age=rnorm(50),weight=rnorm(50)) attach(data1) fn3(age,weight) ===== How do I have R print a nicely formatted title when printing c1 to the console? Thanks, Dan [[alternative HTML version deleted]]

...fine void @fn2() notes("opt-size=2") { ... } > > The function fn2() is aggressively optimized for size. The code > generator may > sacrifice performance while selecting instructions. The inliner will > aggressively > reduce inlining threshold. > > define void @fn3() notes("noinline") { ... } > define void @fn4() notes("always_inline") { ... } > define void @fn5() notes("noinline,always_inline") { ... } > > Here the inliner is instructed to not inline function fn3() anywhere > and inline > function fn4() every...

...t curious how memory management works in R... I need to run an optimization that keeps calling the same function with a large set of parameters... so then I start to wonder if it's better if I attach the variables first vs passing them in (coz that involves a lot of copying.. ) Thus, I do this fn3 <- function(x, y, z, a, b, c){ sum(x, y, z, a, b, c) } fn4 <- function(){ sum(x, y, z, a, b, c) } rdn <- rep(1.1, times=1e8) r <- proc.time() for (i in 1:5) fn3(rdn, rdn, rdn, rdn, rdn, rdn) time1 <- proc.time() - r print(time1) lt <- list(x = rdn, y = rdn, z = rdn, a = rdn, b...

...onst element_t *b_ptr, unsigned char changed) { if (a_ptr && b_ptr && a_ptr->idx == b_ptr->idx) { if (!changed && dst_ptr && dst_ptr->idx == a_ptr->idx) { /* Do something */ } else { changed = 1; if (!dst_ptr) dst_ptr = fn3(); else dst_ptr->idx = a_ptr->idx; /* Do something. */ } } else { changed = fn4(); } return changed; } unsigned char fn1 (element_t *a_ptr, element_t *b_ptr) { unsigned char changed = 0; while (b_ptr) { if (!a_ptr || a_ptr->idx == b_ptr->idx) {...

...a_ptr && b_ptr && a_ptr->idx == b_ptr->idx) { > if (!changed && dst_ptr && dst_ptr->idx == a_ptr->idx) { > /* Do something */ > } else { > changed = 1; > if (!dst_ptr) > dst_ptr = fn3(); > else > dst_ptr->idx = a_ptr->idx; > /* Do something. */ > } > } else { > changed = fn4(); > } > return changed; > } > > unsigned char fn1 (element_t *a_ptr, element_t *b_ptr) { >...

...r() will be the deciding factor. define void @fn2() notes("opt-size=2") { ... } The function fn2() is aggressively optimized for size. The code generator may sacrifice performance while selecting instructions. The inliner will aggressively reduce inlining threshold. define void @fn3() notes("noinline") { ... } define void @fn4() notes("always_inline") { ... } define void @fn5() notes("noinline,always_inline") { ... } Here the inliner is instructed to not inline function fn3() anywhere and inline function fn4() everywhere. The function fn5() is...

...if (!changed && dst_ptr && dst_ptr->idx == > a_ptr->idx) { > /* Do something */ > } else { > changed = 1; > if (!dst_ptr) > dst_ptr = fn3(); > else > dst_ptr->idx = a_ptr->idx; > /* Do something. */ > } > } else { > changed = fn4(); > } > return changed...

...t-size=2") { ... } >> >> The function fn2() is aggressively optimized for size. The code >> generator may >> sacrifice performance while selecting instructions. The inliner >> will aggressively >> reduce inlining threshold. >> >> define void @fn3() notes("noinline") { ... } >> define void @fn4() notes("always_inline") { ... } >> define void @fn5() notes("noinline,always_inline") { ... } >> >> Here the inliner is instructed to not inline function fn3() >> anywhere and inline >&...

...larify? Thanks, Peter p.s. when I define t.fn to be: t.fn<- function() { for ( j in sys.nframe():0 ) cat( j,":",ls( sys.frame( j ) ), "\n" ) } and call that in t.fn2(), I do eventually see the 'i' variable, i.e. > t.fn2() 2 : j 1 : i 0 : test t.fn t.fn2 t.fn3 [[alternative HTML version deleted]]

Hi R-users, Does R has a topic on newton's method? Thank you for the info.

...fine void @fn2() notes("opt-size=2") { ... } > > The function fn2() is aggressively optimized for size. The code > generator may > sacrifice performance while selecting instructions. The inliner will > aggressively > reduce inlining threshold. > > define void @fn3() notes("noinline") { ... } > define void @fn4() notes("always_inline") { ... } > define void @fn5() notes("noinline,always_inline") { ... } > > Here the inliner is instructed to not inline function fn3() anywhere > and inline > function fn4() every...

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> > Hello everyone, > > I have the following R code for a multivariable function: > > > > fn2<-function(x,y,z){(y+2*z)/(5*y-x*z)} > > > > fn2(-5,-2,3) > [1] 0.8 > > > > No problems. > > === > > If, however, I call the function using a vector substitution for the > arguments, R sees this as 3 separate calls to the function while

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,

Hi list, I'm having some problems with my new Icecast setup and I was hoping you can help me with it. My Icecast setup looks like this: [encoder] [encoder] \ / [back-end node] | | | | [fn1][fn2][fn3][fn4] I have two active encoders, one is encoding to the active mount and one is encoding to the fallback mount on the back-end node. Configuration of the mounts is as follows: <mount> <mount-name>/activemount.mp3</mount-name> <fallback-mount>/fallb...

Hi, The error line is: *** STOP: 0x0000007B (0xF789AA94, 0xC0000034, 0x00000000, 0x00000000) Nothing more! (Of course there are some inrelevant text line about chkdsk, etc.) > Basically, what's required is the "STOP:" line + the image where it > fails (so, the line below). Image being likely to be NTOSKRNL.EXE > Nothing about NTOSKRNL.EXE on the blue screen! > >

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