search for: lowers

Hello, I was unable to find clues to my problem in ?optim. Using the data and code below, I get an error ("system is exactly singular") when a particular line of code is left in, but have found that 'optim' works when I comment it out. The line of code in question is after the closeAllConnections() line of code and contains a call to "na.approx" from the zoo package.

Hello, I'm plotting two sets of data referenced to either the left or right y-axes. The first, water table depth (blue circles), is plotted on the left y-axis in reverse order (0 at the top) as this is more intuitive when thinking in terms of depth. The second is electrical conductance (a surrogate for salinity), and is referenced to the right y-axis. The data and plot commands follow

#I would like to use the below data to make a scatter plot matrix with #code similar to that below the data #conceptually this is the right approach I think #thanks in advance melt.gg <- structure(list(stream = c("Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower",

With main R releases only happening yearly in spring, now is good time to consider *and* discuss new features for what we often call "R-devel" and more officially is R Under development (unstable) (.....) -- "Unsuffered Consequences" Here is one such example I hereby expose to public scrutiny: A few minutes ago, I've committed the following to R-devel (the

Dear R-helpers, the problem I'm facing today is to convince lattice to paint some areas in gray. The areas I would like to have in gray, are confidence bands I've googled around in the mailing list archives and eventually find some clues. This link is my starting point http://tolstoy.newcastle.edu.au/R/e2/help/07/04/15595.html I'm reproducing here the code for your convenience est

Hi list, could anyone please educate me on the following: lst<-seq(47, 239, by=12) for(n in lst) { lower=n; upper=lower+10 for(i in lower+2 : upper) { print(paste(n, " i: ", i, " lower: ",lower, " upper :", upper)) } } does not stop when i = upper A while loop fixes this but, I still don't understand why the for loop doesn't stop

Hi mailing list, I'm working on PXE booting a BartPE (=Windows XP) system from a server running hpa tftpd. In the initialization phase the files are requested from the boot server by TFTP, later the transfer is switched to SMB. Most of the problems during this tftp phase can be solved with the remapping feature quite nicely like: *converting filenames into absolute paths *convert

Hi, I noticed a minor flaw in integrate() from package stats: Taking up arguments lower and upper from integrate(), if (lower == Inf) && (upper == Inf) or if (lower == -Inf) && (upper == -Inf) integrate() calculates the value for (lower==-Inf) && (upper==Inf). Rather, it should return 0. Quick fix: ### old code ### ### [snip] else {

Dear R users, i try to integrate lgamma from 0 to Inf. But here i get the message "roundoff error is detected in the extrapolation table", if i use 1.0e120 instead of Inf the computation works, but this is against the suggestion of integrates help information to use Inf explicitly. Using stirlings approximation doesnt bring the solution too. ## Stirlings approximation lgammaApprox

For a variety of displays (mosaicplots, barplots, ...) one often wants to either abbreviate or wrap long labels, particularly when these are made up of several words. In general, it would be nice to have a function, abbreviate.or.wrap <- function(x, maxlength=10, maxlines=2, split=" ") { } that would take a character vector or a list of vectors, x, and try to abbreviate or wrap

Hi everyone. I have a problem that I have been unable to determine either the best way to proceed and why the methods I'm trying to use sometimes fail. I'm using the pf() function in an optimization function to find a noncentrality parameter that leads to a specific value at a specified quantile. My goal is to have a general function that returns the noncentrality parameter that

Evan Cheng wrote: > On Jun 23, 2008, at 5:35 AM, Richard Osborne wrote: > >> I'm trying to write a backend for a target with no hardware floating >> point support. I've added a single i32 register class. I'm wanting all >> floating point operations to be lowered to library function calls. For >> the most part LLVM seems to get this right. For example

I am confused about the rules for when upper and lower case letters should be used in MIR. As an example our downstream target has upper case letters in its sub-register indices and as a result we cannot import exported MIR without manually 'lower casing' it first which is obviously rather annoying. Looking in https://llvm.org/docs/MIRLangRef.html it is stated that instruction names are

Dear R Developers: I have been playing with R, release 2.0.1 for a week now and have detected = that all stat functions related to distribution probabilities have the same= problem: 1.- According to the manual the log.p parameter is always the last one. 2.- When you use the software, the last parameter seems to be lower.tail Example: > pt (1.1, 5) [1] 0.8392746 > pt (1.1, 5, F) [1]

Full_Name: Volker Franz Version: 2.0.1 (2004-11-15) OS: Mac OSX / Debian Submission from: (NULL) (84.58.8.232) Hi there, the new version of plotCI (Version: 2.0.3 of gplots) produces errors if the upper or lower error bars should be omitted by passing NULL as an argument. Older versions of plotCI had no problem with this. Here is an example: library(gplots) means <- c(1,2,3,4,5) upperw

I have a question regarding robust nonlinear regression with nlrob. I would like to place lower bounds on the parameters, but when I call nlrob with limits it returns the following error: "Error in psi(resid/Scale, ...) : unused argument(s) (lower = list(Asym = 1, mid = 1, scal = 1))" After consulting the documentation I noticed that upper and lower are not listed as parameter in

Hi, All: For most but not all cases, qbinom is the inverse of pbinom. Consider the following example, which generates an exception: > (pb01 <- pbinom(0:1, 1, .5, log=T, lower.tail=FALSE)) [1] -0.6931472 -Inf Since "lower.tail=FALSE", Pr{X>1} = 0 in this context, and log(0) = -Inf, consistent with the documentation. However, the inverse of this does NOT

hello R users strange behavior of the integrate function! i assume this occurs because of the way in which the quadriture is set up! (any comments.) f=function(x){exp(-exp(-x)-5*x)/gamma(5)} xx=seq(from=-20, to=20, length.out=1000) plot(xx,f(xx),type="l") integrate(f, lower=-Inf, upper= 1) integrate(f, lower=-Inf, upper= 10) integrate(f, lower=-10, upper= 11) integrate(f,

Hi to all, maybe the last question was not clear enough. I did not found any hints how to decide whether it should use lower.tail or not. As it is an extra R-feature ( written in http://finzi.psych.upenn.edu/R/Rhelp02a/archive/66250.html ) I do not find anything about it in any statistical books of me. Regards Carmen

I have an issue using mle in versions of 32 bits. I am writing a package which I want to submit to the CRAN. When doing the check, there is an example that has an error running in the 32 bits version. The problem comes from the mle function, using it with a lower constrain. In 64 bits version it works fine but when I put it in the R 32 bits it fails. (same numbers, all equal!) The call is: