search for: toleration

I am finding with the patch that all of the Polyhedron 2005 benchmarks pass on i686-apple-darwin9. Could someone clarify the regression rules for releases? Not building a secondary language on a primary target is usually considered a P1 regression for FSF gcc. Not doing so here gives one the impression that llvm.org isn't playing by the same rules. No one is ever going to want to use these

The floating-point expectations allow for an error tolerance. Is there any similar facility for dates? For example, say I have a custom class that handles date/time spans and I want to spec it: context "A DateRange span" do specify "should know when a week ago is :)" do d = DateRange.new d.last_week.should_be_close_to(1.week.ago, 24*60*60) end end The idea

I am having a hard time understanding how to perform a "repeated measures" type of ANOVA with R. When reading the document found here: http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_repms.html I find that there is a reference to a function make.rm () that is supposed to rearrange a "one row per person" type of frame to a "one row per observation" type

Hi all, Could we modify the "%%" (modulo)-operator to include some tolerance for rounding-errors when supplied with doubles? It's not much work (patch supplied on the bottom), and I don't think it would break anything, only if you were really interested in analysing rounding differences. Any ideas about implementing this and overwriting base::`%%`, or would we want another

I have written a function that goes through a database and calculates various metric scores and allocates them to a data set. For 400 of the 500 sites that I calculate these metrics for works fine and allocates the scores into the appropriate column. For some reason, some sites I run into the below problem: Here is what I am doing: > names(orig.metric) [1] "BenInsect"

Are the messages below to be expected from make check-all ? using the rc today, Aug 21, on Red Hat Enterprise Linux AS release 4 (Nahant Update 4) Kernel 2.6.9-42.0.8.ELsmp on an x86_64 Paul ________ .... checking package 'utils' .... * checking R code for possible problems ... NOTE install.packages: no visible global function definition for ?.install.winbinary? install.packages: no

Hi Ruser I'm trying to replicate some SAS code. I have to add a spline to my longitudinal spaghetti plot. I have the plot, but I can't add the spline, a overall trend line. In the SAS code they use the command 'I=SM50S' and I would prefer something similar. I?m using R 2.10.1 on windows XP? I have made this working example. tolerance.pp <-

Duncan, I think Emil realizes that the floating point format isn't able to represent certain numbers, that's why he is suggesting this change rather than complaining about our arithmetic being broken. However, I agree with you that we should not adopt his proposal. It would not make things more "user friendly" for people. Everyone has a different application and a different use

Dear list, I am from an engineering background, accustomed to work with tolerances. For example, I have measured Q = 0.15 +- 0.01 m^3/s H = 10 +- 0.1 m and now I want to calculate P = 5 * Q * H and get a value with a tolerance +- What is the elegant way of doing this in R? Thank you, Jan

Hi, Try either: tolerance <- read.csv("http://www.ats.ucla.edu/stat/r/examples/alda/data/tolerance1.txt") ?aggregate(exposure~male,data=tolerance,mean) ?# male exposure #1??? 0 1.246667 #2??? 1 1.120000 #or ?library(plyr) ?ddply(tolerance,.(male),summarize,exposure=mean(exposure)) #? male exposure #1??? 0 1.246667 #2??? 1 1.120000 #or

On Fri, Oct 14, 2016 at 10:50 AM, Hal Finkel <hfinkel at anl.gov> wrote: > ----- Original Message ----- >> From: "Renato Golin" <renato.golin at linaro.org> >> To: "Sebastian Pop" <sebpop.llvm at gmail.com> >> Cc: "Hal Finkel" <hfinkel at anl.gov>, "Sebastian Paul Pop" <s.pop at samsung.com>,

On 11/09/2018 11:23 AM, Emil Bode wrote: > Hi all, > > > > Could we modify the "%%" (modulo)-operator to include some tolerance for rounding-errors when supplied with doubles? > > It's not much work (patch supplied on the bottom), and I don't think it would break anything, only if you were really interested in analysing rounding differences. > >

Dear R Users and Developers, I am trying to do the equivalent of v <- c(1,2,3,3,2,1,) vu <- unique(v) for a vector such as v2 <- c(1.02, 2.03, 1.00, 3.04, 3.06) vut <- ... As indicated in the subject, we need approximately unique values with a defined tolerance, i.e. for the v2 vector the resulting vut vector using a tolerance of .1 should return e.g. [1] 1.02 2.03 3.06 Also,

Have used Centos 5 now couple of weeks and started to find pieces on places, ie. found logs :D Now, these ntpd errors strances me. Anyone else getting these? Errors frequency error 500 PPM exceeds tolerance 500 PPM: 1 time(s) frequency error 503 PPM exceeds tolerance 500 PPM: 1 time(s) frequency error 504 PPM exceeds tolerance 500 PPM: 1 time(s) frequency error 505 PPM exceeds

Dear All I am using rgenoud to solve the following maximization problem: myfunc <- function(x) { x1 <- x[1] x2 <- x[2] if (x1^2+x2^2 > 1) return(-9999999) else x1+x2 } genoud(myfunc, nvars=2, Domains=rbind(c(0,1),c(0,1)),max=TRUE,boundary.enforcement=2,solution.tolerance=0.000001) How can one increase the precision of the solution $par [1] 0.7072442 0.7069694 ? I

I have a longitudinal data set in long format and I want to run individual regressions. I do this by using the by() function as follows: temp <- by(tolerance.pp, tolerance.pp$id, function(x) summary(lm(tolerance ~ time, data=x))) This works fine. Coefficients for the first two subjects are shown below. Coefficients: Estimate Std. Error t value Pr(>|t|)

I have two Internet connections which connected to different ISP. one is for normal usage , 2nd one is for backup fault tolerance how do I implement fault tolerence multiple internet connections in shorewall ?

Dear list, How is the tolerance for a model parameter in an lm() call extracted? I did not see a solution in the documentation for lm(), or predict(), nor in the archives using 'tolerance' as the search string. I also checked into the nlme package, though nothing popped out at me. Sincerely, KeithC.

Hi all, I am just learning R and I am trying to work through the book "Applied Longitudinal Data Analysis" by Singer & Willett. I have some code for this book that supposedly works in S-Plus (I don't have S-Plus so I can't verify that) and I am trying to run the examples in R. Most of the examples run, but I have one plot that gives me an error message. I have

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data