similar to: intervals from cut() as numerics?

Hi all, If I want to write a for loop to loop through a set of factors, which are not coded in 1,2,3, for e.g in character, possible to write the for loop without changing it to categorical variables? I saw the manual mentions for loop will take a list, but I'm not sure how to create a list here. Any input will be appreciated. Thanks. Yen Lin [[alternative HTML version deleted]]

A problem has been pointed out by a French user of the survival package and I'm looking for a pointer. > options(OutDec= ",") > fit <- survfit(Surv(1:6 /2) ~ 1) > fit$time [1] NA 1 NA 2 NA 3 A year or two ago some test cases that broke survfit were presented to me. The heart of the problem was numbers that were almost identical, where table(x) and unique(x) gave

On Fri, Mar 29, 2019 at 5:51 PM Arsenault, Matthew via llvm-dev < llvm-dev at lists.llvm.org> wrote: > A few things I’ve been thinking about: > > - Is anyone working on finishing the migration to using the new fneg > instruction? > > What did you have in mind? I was not aware that there is work pending. > - Controls for allowing and/or mandating denormal

Sun Visual Numerics and DM Review Present "Java Based Analytics and Visualization: Driving Next Generation Business Analytics" Date: Wednesday, October 22, 2003 Time: 11:00 a.m. PDT/2:00 p.m. EDT Duration: One hour Tune into Sun Microsystems' BIDW Network Series Hosted by DM Review, 3rd in a 6-part series Executives today are more challenged than ever to make quick, well

> set.seed(999) > abs(rnorm(20)) [1] 0.28174016 1.31255963 0.79518398 0.27007049 0.27730642 0.56602374 1.87865826 1.26679114 0.96774968 1.12100936 1.32546371 0.13397739 0.93874945 [14] 0.17253810 0.95765045 1.36268625 0.06833513 0.10065765 0.90134475 2.07435711 > v <- abs(rnorm(20)) > v [1] 1.2285633 0.6430443 0.3597629 0.2940356 1.1252685 0.6422657 1.1067376 0.8848404 1.5540951

I am trying to perform an nls for a valid negative exponential function: zz=nls(y~constant+a.est*2.7183^(b.est*x),start=list(constant=4.0,a.est=-4,b.est = -.005),trace=T) and am getting a number of different error messages, the most problematic of which is "Error in nls(ring.area ~ constant + a.est * 2.7183^(b.est * ba.beg), start = list(constant = 4, : REAL() can only be applied to a

Dear R People: Suppose I have the following: "pi/2" and I would like it to be 1.57..... Using as.numeric, here is my result: > as.numeric("pi/2") [1] NA Warning message: NAs introduced by coercion > Is there a way to produce the numeric result, please? Thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of

I'm working on a shared library of C functions for use with R, and I want to create a matrix in R and pass it to the C routines. I know R computes and supposedly stores numerics in double precision, but when I create a matrix of random numerics using rnorm(), the values are displayed in single precision, and also exported in single precision when I pass them out to my C routines. An example

Hello, I notice in main/arithmetic.c, that NA and NaN are encoded differently(since every numeric NA comes from R_NaReal which is defined via ValueOfNA) . What is the benefit of treating these two differently? Why can't NA be a synonym for NaN? Thank you Saptarshi (R-2.9)

Hello, I'm a bit puzzled by what looks (to me) like a discrepancy between documentation and implementation. The documentation for [] says this about the indices: "Numeric values are coerced to integer as by as.integer (and hence truncated towards zero)." > as.integer(-3.1) [1] -3 Good. But: > x <- c(1,2,3) > x[-3.1] [1] 1 2 3 Given the documentation, I'd have

Dear Help-Rs,   I've been dealing with this problem for some time, using a work-around to deal with it. It's time for me to come clean with my ineptitude and seek a what has got to be a more streamlined solution from the Help-Rverse.   I regularly import delimited text data that contains numerics enclosed in quotes (e.g., "00765288071").  Thing is, for some of these data, I need

All: There will be a BoF talk at the EuroLLVM conference regarding Numerics (FMF and module flags which control fp behavior and optimization). Even if you are not going to be in attendance, please reply to this thread as we are collecting open issues and ideas for future direction in all layers of LLVM for which optimizations are controlled by numerics flags. Please read over the numerics blog

Hi, I am trying to convert a data.frame of numerics (this could be a matrix as well in this case) into a data.frame of factors. I did it in a way that is less than direct... myforet2<-t(myforet) for (i in 1:length(myforet2[1,])) { if (i == 1)myforetfact<-list(as.factor(myforet2[,i])) else myforetfact<-c(myforetfact,list(as.factor(myforet2[,i]))) }

On 08/02/2012 05:00 AM, r-devel-request at r-project.org wrote: > Now I just have to grovel over the R code in ns() and bs() to figure > out how exactly they pick knots and handle boundary conditions, plus > there is some code that I don't understand in ns() that uses qr() to > postprocess the output from spline.des. I assume this is involved > somehow in imposing the boundary

I'm sure there's a simple way to do this, but I can only think of complicated ones. I have a number of character vectors that look something like this: "12 78 23 9 76 43 2 15 41 81 92 5(92 12) (81 78 5 76 9 41) (23 2 15 43)" I wish to get it into a list of numerical vectors like this: $Group [1] 12 78 23 9 76 43 2 15 41 81 92 5 $Subgroup1 [1] 92 12 $Subgroup2 [1] 81 78 5

Hi Micheal, Thanks for the blog post. Just like to point out few things that I thought is related to FP Numerics. LLVM could do some additional transformation with "sqrt" and "division" under fast math on X86 like 1/sqrt(x)* 1/sqrt(x) to 1/x. These are long latency instructions and could get benefit if enabled under unsafe math. Also are we considering doing such FP

All: There will be a BoF talk at the EuroLLVM conference regarding Numerics (FMF and module flags which control fp behavior and optimization). Even if you are not going to be in attendance, please reply to this thread as we are collecting open issues and ideas for future direction in all layers of LLVM for which optimizations are controlled by numerics flags. Please read over the numerics blog