search for: biogenidec

Full_Name: Jerry W. Lewis Version: 2.7.0 OS: Windows XP Professional Submission from: (NULL) (198.180.131.16) If you are saying that there is no need to solve for the noncentrality parameter, please justify this amazing assertion. If you are saying that this need is already adequately addressed in R, then please enlighten me.

Full_Name: Jerry W. Lewis Version: 2.7.0 (2008-03-23 r44847) OS: Windows XP Professional Submission from: (NULL) (71.184.230.48) choose(n,k) = choose(n,n-k) is not satisfied if either 1. n is a negative integer with k a positive integer (due to automatically returning 0 for n-k<0) 2. n is not an integer with k a positive integer (due to rounding n-k to an integer, compounded by

Full_Name: Jerry W. Lewis Version: 2.6.1 OS: Windows XP Professional Submission from: (NULL) (24.147.191.250) pchisq(0,0,ncp=lambda) returns 0 instead of exp(-lambda/2) pchisq(x,0,ncp=lambda) returns NaN instead of exp(-lambda/2)*(1 + SUM_{r=0}^infty ((lambda/2)^r / r!) pchisq(x, df + 2r)) qchisq(.7,0,ncp=1) returns 1.712252 instead of 0.701297103 qchisq(exp(-1/2),0,ncp=1) returns 1.238938

Full_Name: Jerry W. Lewis Version: 2.6.2 OS: Windows XP Professional Submission from: (NULL) (198.180.131.16) choose() returns incorrect values for all fractional arguments, regardless of sign. It returns 0 when both arguments are negative integers, which is not always correct (as in some formulations of the negative hypergeometric). Examples (correct answers from Maple's binomial

Full_Name: Jerry W. Lewis Version: 2.10.1 OS: Windows XP Professional Submission from: (NULL) (198.180.131.21) In the line "The quantile is right continuous: qpois(q, lambda) is the smallest integer x such that P(X <= x) >= q." "q" is used as a probability when the Arguments section defines it to be a quantile. Also there are some representation problems where the

choose(-5,-7) uses integer arguments (as specified in Help) and returns a numeric value that is incorrect. Either the function or the documentation should be fixed. If the function is not fixed, a warning or an error would be helpful. The fact that choose(n,k) usually returns choose(n,round(k,0)) is not obvious from either the output or the documentation. I suggest issuing a warning when

While I agree that the reported results from Mathematica have only 10-13 correct digits, that does not mean that pt() in R is any better for these calculations. For instance the following three calculations are mathematically equivalent, but pt() disagrees at the 13th figure in R v2.6.2 pt(1e-4,13) pf(1e-8,1,13)/2+0.5 pbeta(1/(1+13/1e-8),.5,6.5)/2+0.5 Using 1/(1+n/x^2) and reversing the

The data is of two forms, ie one numeric and another ordinal ie 1.5 and <.5. The X Value is a factor. I'm trying to create a lattice conditioned plot with the following characteristics: 1) The plot is conditioned using the form (Conductivity~Day|Valve) 2) The plot should use a barplot for the ordinal (<.5) and dots for the numeric (1.5) 3) A line should be created specifying a

Hi, all, I'm trying to modify the code to a log scale for y-axis from the post http://tolstoy.newcastle.edu.au/R/help/06/06/28612.html However, the error bar did not change accordingly. The following is the code I used based on the singer.ucl data. Thanks in advance! prepanel.ci <- function(x, y, ly, uy, subscripts, ...) { y <- as.numeric(y) ly <-

Hello, I have successfully downloaded the sources and built R as a shared library on a Red Hat Enterprise Level 3 box. I am now trying to build the GNOME GUI, but configure is barfing on glade. According to the system logs, the RPM for libglade2-devel-2.0.1-3.x86_64 is installed, but in /usr/bin, where gnomeGUI configure is looking, what's there is libglade-convert. How do I fix this?

I would like to build a package for the HT HG-U133+ PM arrays from affy, but I can't find any good documentation on how to go about it. Naively using makecdfenv's make.cdf.package() causes R to seg-fault. I'm unfamiliar with the CDF format as such, but I'm guessing that it's changed somewhat because the PM arrays no longer have P/A and mismatches. I'm looking to build

All, I'm relatively new to using R, having used it thus far for some simple statistics and plotting. However, I'm not new to programming by any measure. I've been looking at the various modules available for clustering, factor analysis, etc. and find that I need advice on which modules I should be focusing on and their application. I have a data set comprised of columns of both