similar to: Evaluating a multivariable function XXXX

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.

All, I'm working on an improvement to the inline cost model, but I'm unsure how to proceed. Let me begin by first describing the problem I'm trying to solve. Consider the following pseudo C code: *typedef struct element { unsigned idx; } element_t; * *static inline unsigned char fn2 (element_t *dst_ptr, const element_t *a_ptr, const element_t *b_ptr,

On 8/4/2017 2:06 PM, Daniel Berlin wrote: > A few notes: > I'm a bit surprised IPO copy/constant propagation doesn't get this > case, but i didn't look if the lattice supports variables. > In particular, in your example, given no other call sites, it should > eliminate the dead code. > (In a real program, it may require cloning). In the actual program

Hi, Coincidentally I've been working to optimize this same case last week. I was struggling a bit to determine where to put this functionality and eventually went for the pragmatic approach of creating an experimental pass. Probably not the eventual solution, but it may provide some useful input to the discussion here. Basically, I experimented with a 'pre-inlining-transform' pass

Hi - I'm having a really hard time w/understanding R's get function, and would appreciate any help with this. Specifically, I'm using a for loop to call a function. I'd like the function to have access to the variable being incremented in the for-loop, i.e. t.fn <- function() return( get( "i" ) ) t.fn2 <- function() { for ( i in 1:5 ) cat( t.fn(),

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

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

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,

Here is a proposal that I mentioned sometime ago. Any thoughts,comments or suggestions on this proposal would be appreciated. - Devang // = = =---------------------------------------------------------------------- ===// // Function Notes (or Traits) // = = =---------------------------------------------------------------------- ===// This document describes the

Hello everyone, What is the simplest, most RELIABLE way to import data from MS EXCEL (.xls) format to R? In the past I have used the read.xls() function from the xlsReadWrite package, however, I have been wrestling with it all afternoon long with no success. I continue to receive the following error message: > {widge<-read.xls("F:\\Classes\\Z1.Data\\stat.3010\\WidgeOne.xls", +

Hi everyone, Any ideas on troubleshooting this memory issue: > d1<-read.csv("arrears.csv") Error: cannot allocate vector of size 77.3 Mb In addition: Warning messages: 1: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 2: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see

Hi everyone, How does one place an object name (in this case a vector name) into another object (while essentially masking the values of the first object? For example: > JOBSAT<-rnorm(40) > > CI<-function(x,alpha){ + result<-cbind(x,mean=mean(x),alpha) + print(result) + } > CI(JOBSAT,.05) I want this to return: Variable mean alpha JOBSTAT 0.02844131 0.05

Hello everyone, Is it possible to specify a 2 line y-axis label on the same lef-hand side y-axis? I am using the \n regular expression, but only the 2nd line appears (I assume the 1st line is printed off the page...) plot(PRE_SHB,R1, main="Figure 1.1: Scatterplot of Residualized Post Score", xlab = "Pre Score", ylab = "Residualized Post Score \n (Adjusted for Age

Hi everyone, I have the following: sqldf("select Premie,count(tpounds) N,avg(tpounds) Avg_Weight, stddev_samp(tpounds) StdDev from children group by Premie having !is.na(Premie)") sqldf() does not like the !is.na(Premie) specification. How does one exclude a "missing" group in an aggregated query using sqldf()? Thanks! Dan [[alternative HTML version deleted]]

Hi everyone, I understand the process of obtaining the internal integer codes for the raw values of a factor (using as.numeric() as below), but what is the best way to obtain these codes for the levels() of a factor (since the as.numeric() results don't really make clear which code maps to which level)?

Hello everyone, I have the following call to sapply() and error message. Is the most efficient way to deal with this to make sum(!is.na(x)) a function in a separate line prior to this call? If not, please advise. N.Valid=sapply(x,sum(!is.na(x))) Error in match.fun(FUN) : 'sum(!is.na(x))' is not a function, character or symbol Thanks! Dan [[alternative HTML version deleted]]

Hi everyone, What is the easiest way to remove the word Average and strip leading and trailing blanks from the character vector (d5.Region) below? .nrow.d5. d5.Region 1 1 Central Average 2 2 Coastal Average 3 3 East Average 4 4 Metro East Average 5 5 Metro North Average 6 6 Metro South Average 7

Hello everyone, I am writing my own function to return the column index of all variables (these are currently character vectors) in a data frame that contain a dollar sign($). A small piece of the data look like this: can_sta can_zip ind_ite_con ind_uni_con AL 36106 $251,895.80 $22,874.43 AL 35802 $141,373.60 $7,100.00 AL 35201 $273,208.50 $18,193.66 AR 72404 $186,918.00 $25,391.00 AR

Hello everyone, I have the following factor: levels(pp_income) [1] "" "1" "2" "3" "4" "5" "6" "7" [9] "8" "9" "Renter" I want to subset so that only values 1:9 are included. I have the following: > income<-pp_income[pp_income %in%

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