Displaying 20 results from an estimated 39 matches for "0.0014".
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0.001
2005 Feb 23
2
data.frame error message
Dear R users,
I am using v2.0.1 on Windows 2000. I have read a ".dat" file with several
vectors, including 2 factors (2 levels x 3 levels), and a vector of
responses, into R. There are no unique row names. When I try plot(x,y) or
lm(y~x) the following error is returned:
Error in model.frame(formula, rownames,...extranames: variable lengths differ
What am I doing wrong? I am a
2010 Jun 18
1
12th Root of a Square (Transition) Matrix
Dear R-tisans,
I am trying to calculate the 12th root of a transition (square) matrix, but can't seem to obtain an accurate result. I realize that this post is laced with intimations of quantitative finance, but the question is both R-related and broadly mathematical. That said, I'm happy to post this to R-SIG-Finance if I've erred in posting this to the general list.
I've
2008 Jan 28
0
[LLVMdev] 2.2 Prerelease available for testing
Target: FreeBSD 7.0-RC1 on amd64.
autoconf says:
configure:2122: checking build system type
configure:2140: result: x86_64-unknown-freebsd7.0
[...]
configure:2721: gcc -v >&5
Using built-in specs.
Target: amd64-undermydesk-freebsd
Configured with: FreeBSD/amd64 system compiler
Thread model: posix
gcc version 4.2.1 20070719 [FreeBSD]
[...]
objdir != srcdir, for both llvm and gcc.
Release
2003 Jul 27
2
continuous independent variable in lme
Dear All,
I am writing to ask a clarification on what R, and in particular lme, is
doing.
I have an experiment where fly wing area was measured in 4 selection lines,
measured at 18 and 25 degrees. I am using a lme model because I have three
replicated per line (coded 1:12 so I need not use getGroups to creat an
orederd factor).
The lines are called: "18"; "25";
2007 Sep 18
0
[LLVMdev] 2.1 Pre-Release Available (testers needed)
On Fri, Sep 14, 2007 at 11:42:18PM -0700, Tanya Lattner wrote:
> The 2.1 pre-release (version 1) is available for testing:
> http://llvm.org/prereleases/2.1/version1/
>
> [...]
>
> 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source.
> Compile everything. Run "make check" and the full llvm-test suite
> (make TEST=nightly report).
>
> Send
2017 Dec 20
2
outlining (highlighting) pixels in ggplot2
Using the small reproducible example below, I'd like to know if one can
somehow use the matrix "sig" (defined below) to add a black outline (with
lwd=2) to all pixels with a corresponding value of 1 in the matrix 'sig'?
So for example, in the ggplot2 plot below, the pixel located at [1,3] would
be outlined by a black square since the value at sig[1,3] == 1. This is my
first
2008 Jan 24
6
[LLVMdev] 2.2 Prerelease available for testing
LLVMers,
The 2.2 prerelease is now available for testing:
http://llvm.org/prereleases/2.2/
If anyone can help test this release, I ask that you do the following:
1) Build llvm and llvm-gcc (or use a binary). You may build release
(default) or debug. You may pick llvm-gcc-4.0, llvm-gcc-4.2, or both.
2) Run 'make check'.
3) In llvm-test, run 'make TEST=nightly report'.
4) When
2004 May 14
1
covariates in lm
Dear R list,
I have been trying to do a linear model, extracting the effect of a
covariate.... and the results do not match, when I do it with other programs
(e.g. minitab).... so it is obvious that I was doing something wrong.
Whan I do it with minitab, I have this results: (sector is a factor and depth
is the covariate):
Source DF Seq SS Adj SS Adj MS F P
2008 Feb 03
0
[LLVMdev] 2.2 Prerelease available for testing
Target: FreeBSD 6.2-STABLE on i386
autoconf says:
configure:2122: checking build system type
configure:2140: result: i386-unknown-freebsd6.2
[...]
configure:2721: gcc -v >&5
Using built-in specs.
Configured with: FreeBSD/i386 system compiler
Thread model: posix
gcc version 3.4.6 [FreeBSD] 20060305
[...]
objdir != srcdir, for both llvm and gcc.
Release build.
llvm-gcc 4.2 from source.
2017 Dec 20
0
outlining (highlighting) pixels in ggplot2
Hi Eric,
you can use an annotate-layer, eg
ind<-which(sig>0,arr.ind = T)
ggplot(m1.melted, aes(x = Month, y = Site, fill = Concentration), autoscale
= FALSE, zmin = -1 * zmax1, zmax = zmax1) +
geom_tile() +
coord_equal() +
scale_fill_gradient2(low = "darkred",
mid = "white",
high = "darkblue",
2013 Jul 28
2
[LLVMdev] Enabling the SLP-vectorizer by default for -O3
Hi,
Below you can see the updated benchmark results for the new SLP-vectorizer. As you can see, there is a small number of compile time regressions, a single major runtime *regression, and many performance gains. There is a tiny increase in code size: 30k for the whole test-suite. Based on the numbers below I would like to enable the SLP-vectorizer by default for -O3. Please let me know if you
2006 May 01
1
Problem with optim()
I am having a problem with optim() using the "L-BFGS-B" method. When I
set the lower limit for the third parameter equal to zero I get an
error message:
> low.lim.3 <- 0
> phi_opt <- optim(phi_, model_lik, NULL, method = "L-BFGS-B", lower=c(0.2, -100, low.lim.3, 0), upper= c(10, 100, 10, 10), control = list(maxit = 1000, parscale = c(0.2, u1, 0.002, 0.002), trace =
2009 Aug 11
1
Selecting/Accessing the last vector in a list of a list of data.frames
Hello Again R Folks:
I?m trying to clean up some code. Suppose I have an object like this:
> str(test)
List of 2
$ G:List of 2
..$ cls:'data.frame': 101 obs. of 2 variables:
.. ..$ V1: num [1:101] -0.0019 -0.0019 -0.00189 -0.00188 -0.00186 ...
.. ..$ V2: num [1:101] 0.000206 0.000247 0.000288 0.000329 0.000371 ...
..$ rob:'data.frame': 101 obs. of 2
2007 Jun 05
1
lme vs. SAS proc mixed. Point estimates and SEs are the same, DFs are different
R 2.3
Windows XP
I am trying to understand lme. My aim is to run a random effects regression in which the intercept and jweek are random effects. I am comparing output from SAS PROC MIXED with output from R. The point estimates and the SEs are the same, however the DFs and the p values are different. I am clearly doing something wrong in my R code. I would appreciate any suggestions of how I can
2010 Nov 11
0
[LLVMdev] Landing my new development on the trunk ...
Evan Cheng <evan.cheng <at> apple.com> writes:
> Eli is right. We do need to see some benchmark numbers and understand
how the
pass will fit in the target
> independent optimizer. While we encourage contribution, we typically
don't
commit new passes unless it
> introduce new functionalities that have active clients. It would also
help if
you provide us with compile
2009 Jun 11
1
formula for degrees of freedom for nonlinear mixed model in nlme
Dear forum members,
What is the formula to calculate denominator degrees of freedom (den df) for nonlinear mixed-effect models with covariates? My model is similar to a CO2 uptake example from Pinheiro and Bates (2000, page 376). In this CO2 dataset, there are two treatments and two types (84 observations in total), but den df for each parameter of the model is 64. Isn’t it too high?
Your
2007 Jan 17
2
Repeated measures
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
2012 Aug 22
1
Error in if (n > 0)
I've searched the Web with Google and do not find what might cause this
particular error from an invocation of cenboxplot:
cenboxplot(cu.t$quant, cu.t$ceneq1, cu.t$era, range=1.5, main='Total
Recoverable Copper', ylab='Concentration (mg/L)', xlab='Time Period')
Error in if (n > 0) (1L:n - a)/(n + 1 - 2 * a) else numeric() :
argument is of length zero
I do
2007 Sep 15
22
[LLVMdev] 2.1 Pre-Release Available (testers needed)
LLVMers,
The 2.1 pre-release (version 1) is available for testing:
http://llvm.org/prereleases/2.1/version1/
I'm looking for members of the LLVM community to test the 2.1
release. There are 2 ways you can help:
1) Download llvm-2.1, llvm-test-2.1, and the appropriate llvm-gcc4.0
binary. Run "make check" and the full llvm-test suite (make
TEST=nightly report).
2) Download
2005 Sep 22
3
anova on binomial LMER objects
Dear R users,
I have been having problems getting believable estimates from anova on a
model fit from lmer. I get the impression that F is being greatly
underestimated, as can be seen by running the example I have given below.
First an explanation of what I'm trying to do. I am trying to fit a glmm
with binomial errors to some data. The experiment involves 10
shadehouses, divided between