similar to: Summary tables of large datasets including character and numerical variables

Dear all, sorry, this is for sure really basic, but I searched a lot in the internet, and just couldn't find a solution. The problem is to create new variables from a data frame which contains both individual and group variables, such as mean age for an household. My data frame: df hhid h.age 1 10010020 23 2 10010020 23 3 10010126 42 4 10010126 60 5 10010142

I need to generate variables like status1, status2, status3, ...... request1, request2, request3, ...... this is my code, other unrelated detail are eliminated. static int varNum; static const char *getVarNum() { ++varNum; std::stringstream ss; ss << varNum; std::string *varname = new std::string(ss.str()); return varname->c_str(); } const char *VarNum = getVarNum(); Twine *x1 = new

Hi All - I am using the daisy function from the cluster library to create a dissimilarity matrix. I'm going to use that matrix to run a cluster analysis. My participants are identified with the variable, hhid. However, when I try to keep hhid in the dataset that I use to create the dissimilarity matrix, daisy uses it to create the matrix rather than ignoring it as an ID variable. I need to

According to documentation Twines should be used only for temporary values and not stored, so allocating the in heap sounds wrong. I think all you need here is static int varNum; ++varNum; Instruction *sstatusInst = new AllocaInst(StatusTy, Twine("status") + Twine(varNum), entry_inst); Instruction *sreqInst = new AllocaInst(ReqTy, Twine("request") + Twine(varNum),

On Sun, Apr 18, 2010 at 4:36 AM, Eugene Toder <eltoder at gmail.com> wrote: > According to documentation Twines should be used only for temporary > values and not stored, so allocating the in heap sounds wrong. Yes, in general you should never be naming Twine directly, except in the case where you need to make a Twine for an integer. All other uses should be considered poor style, as

I am fairly new to R and would like help with the problem below. I am trying to sum and count several rows in the data frame yy below. All works well as in example 1. When I try to add the columns, with an NA in Q21, I get as NA as mySum. I would like NA to be treated as O, or igored. I wrote a function to try to count an NA element as 0, Example 3 function. It works with a few warnings,

Hi everyone, I am attempting to use the apply() function to obtain the mode and class of each column in a data frame, however, I am encountering unexpected results. I have the following example data: v13<-1:6 v14<-c(1,2,3,3,NA,1) v15<-c("Good","Bad",NA,"Good","Bad","Bad")

I am trying to call a funtion within another function and I clearly am misunderstanding what I should do. Below is a simple example. I know lstfun works on its own but I cannot seem to figure out how to get it to work within ukn. Basically I need to create the variable "nts". I have probably missed something simple in the Intro or FAQ. Any help would be much appreciated. EXAMPLE

Hi, I am trying to integrate my Java program with R using rJava package. I want to execute the whole Java program from R. The main() method in my Java code calls all the other defined methods. So, I guess I have to call the main() method in .jcall. An example Java code: *class A { public static int mySum(int x, int y) { return x+y; } public static void

Hello! I am trying to create an R optimization routine for a task that's currently being done using Excel (lots of tables, formulas, and Solver). However, otpim seems to be finding a local minimum. Example data, functions, and comparison with the solution found in Excel are below. I am not experienced in optimizations so thanks a lot for your advice! Dimitri ### 2 Inputs:

Dear users, I'm trying to learn how to use the "...". I have written a function (simplified here) that uses doBy::summaryBy(): # 'dat' is a data.frame from which the aggregation is computed # 'vec_cat' is a integer vector defining which columns of the data.frame should be use on the right side of the formula # 'stat_fun' is the function that will be run to

Is there a function in R that corresponds to the function ``map'' of perl? It could be called like: vector.a <- map( vector.b, FUN, args.for.FUN ) It should execute for each element ele.b of vector.b: FUN( vector.b, args.for.FUN) It should return a vector (or data.frame) of the results of the calls of FUN. It nearly works using: apply( data.frame( vector.b ), 1, FUN,

Does anyone know a way that an function written in R can be called within a cell of an Excel spreadsheet. I would like to use the R function much as I use the native Excel functions, e.g. instead of using the excel function sum, =sum(A2,A6), I would like to use the function mysum written in R, e.g. =mysum(A2,A6). Thanks, John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics

Dear List: I have the follow code: y <- replicate(10,replicate(8,sum(rnorm(rpois(1,5))))) Now I need to apply the following condition to _every_ randomly generated Normal number in the code above: x - max(0,x-15) + max(0,x-90), where x represents the individual Normal numbers. In other words, the said condition needs to be applied before replicate(...(replicate(...(sum(...))) takes place.

Dear all, I have a function that predicts DV based on one predictor pred: pred<-c(0,3000000,7800000,15600000,23400000,131200000) DV<-c(0,500,1000,1400,1700,1900) ## I define Function 1 that computes the predicted value based on pred values and parameters a and b: calc_DV_pred <- function(a,b) { DV_pred <- rep(0,(length(pred))) for(i in 1:length(DV_pred)){ DV_pred[i] <- a *

The aggregate function does "almost" all that I need to summarize a datasets, except that I can't specify exclusion of NAs without a little bit of hassle. > set.seed(143) > m <- data.frame(A=sample(LETTERS[1:5], 20, T), B=sample(LETTERS[1:10], 20, T), C=sample(c(NA, 1:4), 20, T), D=sample(c(NA,1:4), 20, T)) > m A B C D 1 E I 1 NA 2 A C NA NA 3 D I NA 3 4 C I

Hello all, Here goes one of my first functions. I want to make a nonparametric multiple sample comparison with unequal sample sizes (see Zar?s Biostatistical Analysis, 3rd. Ed., pg. 201 Example 10.11, pg. 288 Example 11.10). In the real world, I want to compare samples of fish length captured with different fishing gears. After using the Kruskal-Wallis test I want to check the differences

Dear all, Recently I've wanted to add support for threads to LLVM (motivated by OpenMP, more or less), but before jumping in and implementing anything, I thought it might be a good idea to describe what I have in mind and ask for comments. Hence this email - if anyone has any comments, I'd be very glad to hear them. WHAT I'M PROPOSING: The addition of two instructions - fork

R-2.9.0/include/R_ext/Arith.h has: int R_IsNA(double); /* True for R's NA only */ int R_IsNaN(double); /* True for special NaN, *not* for NA */ int R_finite(double); /* True if none of NA, NaN, +/-Inf */ #define ISNA(x) R_IsNA(x) /* True for *both* NA and NaN. The first and last lines are contradictory - if R_IsNA is true only for NA, not NaN, then ISNA should be the same.

How can i interface llvm bitcode with a existent so library... like when you use C prebuilt cos() or sin() ... suppose that i create a sum() in c/c++ compile a .so lib with it and call it from "the bitcode" program... how can i do this? Thanks Fabio Kaminski -------------- next part -------------- An HTML attachment was scrubbed... URL: