search for: deficiencies

Dear R-devel, It seems that lsfit incorrectly reports coefficients when the input matrix 'x' is rank-deficient, see the example below: ## here values of 'b' and 'c' are incorrectly swapped > x <- cbind(a=rnorm(100), b=0, c=rnorm(100)); y <- rnorm(100); lsfit(x, y)$coef Intercept a b c -0.0227787 0.1042860 -0.1729261 0.0000000 Warning

Hi all, I am slowly working on a SwitchInst optimizer (http://llvm.org/PR8125) and now I am running into a deficiency of the x86 peephole optimizer (or jump-threader?). Here is what I get: andl $3, %edi je .LBB0_4 # BB#2: # %nz # in Loop: Header=BB0_1 Depth=1 cmpl $2, %edi

Hi, I have encountered this error when attempting a One-way Repeated-measure ANOVA with my data. I have read the "Anova in car: SSPE apparently deficient rank" thread by I'm not sure the within-subject interaction has more degrees of freedom than subjects in my case. I have prepared the following testing script: rm(list = ls())

Dear R-users; Previously I posted a question about the problem of rank deficiency in summary.manova. As somebody suggested, I'm attaching a small part of the data set. #*************************************************** "test" <- structure(.Data = list(structure(.Data = c(rep(1,3),rep(2,18),rep(3,10)), levels = c("1", "2", "3"), class =

Take the following example: a <- rnorm(100) b <- trunc(3*runif(100)) g <- factor(trunc(4*runif(100)),labels=c('A','B','C','D')) y <- rnorm(100) + a + (b+1) * (unclass(g)+2) m <- lm(y~a+b*g) summary(m) Here b is discrete but not treated as a factor. I am interested in computing the effect of b within groups defined by the

A recent article in the earth science literature cited below and available at http://geography.uoregon.edu/datagraphics/EOS/ points out that rainbow color schemes and mixtures of green and yellow can be troublesome for people with color-deficient vision. The authors propose alternative schemes that can be viewed and downloaded in RGB, HSV, CMYK, and RGB256 formats from

On Oct 6, 2010, at 6:16 PM, Gabor Greif wrote: > Hi all, > > I am slowly working on a SwitchInst optimizer (http://llvm.org/PR8125) > and now I am running into a deficiency of the x86 > peephole optimizer (or jump-threader?). Here is what I get: > > > andl $3, %edi > je .LBB0_4 > # BB#2: # %nz >

Dear: I want to construct a gee model in R. When I ran the program, there was a warning in the output. The warning is "Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 gee(cbind(hyper, nohyper) ~ I(Ethnic) + I(Gender) + I(drink) + : rank-deficient model matrix" What is the rank-deficient model matrix? What should I do to

I have design with two repeated-measures factor, and no grouping factor. I can analyze the dataset successfully in other software, including my legacy DOS version BMDP, and R's 'aov' function. I would like to use 'Anova' in 'car' in order to obtain the sphericity tests and the H-F corrected p-values. I do not believe the data are truly deficient in rank. I

The other place its discussed is in 3.4.1 of the R Language Definition: http://finzi.psych.upenn.edu/R/doc/manual/R-lang.html#Indexing-by-vectors On 12/13/05, Tony Plate <tplate at acm.org> wrote: > Yes, 0/1 (numeric) are intended to be used as index vectors -- and they > have the semantics of numeric indices, which is that 0 elements in the > index are omitted from the result.

The model.frame function has trouble with a certain type of really long formula. Here is a test: tname <- paste('var', 1:50, sep='') tmat <- matrix(rnorm(500), ncol=50, dimnames=list(NULL, tname)) tdata <- data.frame(tmat) temp1 <- paste( paste(tname, tname, sep='='), collapse=', ') temp2 <- paste("~1 + cbind(", temp1, ")")

Author: cth Repository: /hg/zfs-crypto/gate Revision: 8c3216f8ae4cd2c699db490d2a79406f3c420d36 Log message: 6308380 e_ddi_majorinstance_to_path implementation deficient for /devices/pseudo paths Files: update: usr/src/uts/common/os/sunddi.c

When I first configured and built R, I did not have the GNU readline library installed on my system, so naturally I got an R without readline capabilities. I then installed the GNU readline library, and again configured and built R. I now have an R with readline capability, but it is a deficient readline capability, providing only one-line editing capability (e.g., CTRL-A, CTRL-E, CTRL-B,

I am trying to use lm() for resression followed by stepAIC function. Now when i try to use to predict for some input, predict() gives a warning : prediction from a Rank deficient matrix may be misleading. As I am new to R (or to statistics) How alarming this warning may be? Regards, ____________________________________________________________________________________ The fish are biting.

Hi everyone. I am a new user of R so thanks for your help! I'm running a regression and receive an error that states that the "residuals have rank 45 < 169." What does this mean? Thanks! -- View this message in context: http://n4.nabble.com/deficient-rank-question-tp1562644p1562644.html Sent from the R help mailing list archive at Nabble.com.

Hi all, On Wed, 24 Jul 2019 at 16:14, Michael Kruse via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Mmmh, looks like Tim Northover is actively working on typeless/opaque > pointers, e.g. https://reviews.llvm.org/D64203 Yep, I'm spending as much time as I can on the project. I think there's not really much chance that it'll be required in this cycle (i.e. when we fork

Am 07.10.2010 um 19:50 schrieb Chris Lattner: > > On Oct 6, 2010, at 6:16 PM, Gabor Greif wrote: > >> Hi all, >> >> I am slowly working on a SwitchInst optimizer (http://llvm.org/ >> PR8125) >> and now I am running into a deficiency of the x86 >> peephole optimizer (or jump-threader?). Here is what I get: >> >> >> andl $3,

...t static address 173.228.81.234 broadcast 173.228.81.255 netmask 255.255.255.0 gateway 173.228.81.1 -- Brian Lavender http://www.brie.com/brian/ "There are two ways of constructing a software design. One way is to make it so simple that there are obviously no deficiencies. And the other way is to make it so complicated that there are no obvious deficiencies." Professor C. A. R. Hoare The 1980 Turing award lecture

Hi all, I have received the following error from summary.manova: Error in summary.manova(manova.test, test = "Pillai") : residuals have rank 36 < 64 The data is simulated data for 64 variables. The design is a 2*2 factorial with 10 replicates per treatment. Looking at the code for summary.manova, the error involves a problem with qr(). Does anyone have a suggestion as to how to

On Oct 13, 2010, at 11:22 AM, Gabor Greif wrote: > Hi Chris, > > I had a look into MachineCSE, but it looks like MBB-oriented. > The above problem is an inter-block one. Also MCSE seems > to perform value numbering on virtual/physical registers, which > does not map very well to status register bits that are implicitly > defined. > Any chance to recast this issue as a