Displaying 20 results from an estimated 3000 matches similar to: "A %nin% operator?"
2008 Mar 05
4
NIN Ghosts music (free download) safe for MOH?
Is the new NIN Ghosts music (free download) safe for MOH?
Justin
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2010 Oct 04
1
Globbing inconsistencies, dir() vs. unlink()
I was trying to remove a directory and couldn't figure out why it was
failing:
> dir("~/p4/r-packages/IREval/Users", recursive=T)
[1] "u0048513/p4/r-packages/IREval/DESCRIPTION"
[2] "u0048513/p4/r-packages/IREval/R/IREval.R"
[3] "u0048513/p4/r-packages/IREval/Read-and-delete-me"
[4] "u0048513/p4/r-packages/IREval/tests/general.R"
>
2011 Jan 31
1
Warning: you may need to use R-patched with recent R distros
Two things have emerged in testing on x86_64 Fedora 14 which mean that
a recent R-patched is probably needed.
1) That OS uses zlib 1.2.5: that claims to be binary-compatible with
zlib 1.2.3 but is not, as we found (painfully) on Windows. The remedy
was to remap _all_ the symbols in R's own copy of zlib (not just those
zlib arranged to remap).
The symptoms were crashes using packages XML
2010 Jun 22
1
Installing rsync-2.4.6 on an Intel box running Solaris x86....
Resending again, now that I'm a new member - AQ
________________________________
From: Quintana, Andre (M Tech Ops)
Sent: Tuesday, June 22, 2010 4:23 PM
To: rsync at samba.org
Cc: Quintana, Andre (M Tech Ops)
Subject: Installing rsync-2.4.6 on an Intel box running Solaris x86....
Importance: High
Greetings all RSYNC Guru's,
We are presently using rsync-2.4.6 on our
2011 Feb 02
2
Using MathJax in R's help system
Hi,
I am doing a small experiment to test if I can use
MathJax ( official site: http://www.mathjax.org )
in R's html help pages (i.e. options(help_type='html'))
and it seems working with some minor modifications.
The screenshot (rendered by Firefox 4.0 beta and with STIX fonts) of
the help page in html format with MathJax enabled is at the following
url:
2009 Sep 09
1
Stats help with calculating between and within subject variance and confidence intervals
Hello.
I'm trying to find a way in R to calculate between and within subject
variances and confidence intervals for some analytical method
development data.
I've found a reference to a method in Burdick, R. K. & Graybill, F. A.
1992, Confidence Intervals on variance components, CRC Press. This
example is for Balanced Data confidence interval calculation from Pg
62. The data are
2011 Jun 21
1
Help interpreting ANCOVA results
Please help me interpret the following results.
The full model (Schwa~Dialect*Prediction*Reduction) was reduced via both
update() and step().
The minimal adequate model is:
ancova<-lm(Schwa~Dialect+Prediction+Reduction+Dialect:Prediction)
Schwa is response variable
Dialect is factor, two levels ("QF","SF")
Prediction is factor, two levels ("High","Low")
2016 Aug 01
3
[PATCH] v2v: fixed file_owner function
What was happening in file_owner function did not match the description
in the comment. When a path is owned by multiple packages the returned
string was in fact a concatenation of the names of all packages that own
it. E.g. for `Linux.is_file_owned g inspect "/etc"` the returned value
was "filesystemyum" (i.e. "filesystem" + "yum").
Signed-off-by: Tom??
2010 Apr 18
1
var.test
Hello,
I'm using var.test to do a simple F-test for equality of variances. I think
I'm missing something small here:
> m<-rnorm(10,sd=1)
> n<-rnorm(5,sd=1)
> var.test(m,n)
F test to compare two variances
data: m and n
F = 13.7438, num df = 9, denom df = 4, p-value = 0.02256
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence
2008 Jun 05
2
qf with infinite df
Dear all,
I found the following behaviour
> rf(5,Inf,Inf)
[1] 1 1 1 1 1
but
> qf(0.1,Inf,Inf)
[1] NaN
Warning messages:
1: In qf(0.1, Inf, Inf) : value out of range in 'lgamma'
2: In qf(p, df1, df2, lower.tail, log.p) : NaNs produced
incidentally,
> pf(1.00000000000001,Inf,Inf)
[1] 1
> pf(1.0000000000000001,Inf,Inf)
[1] 0.5
Is this the expected behaviour?
Thanks
2017 Oct 19
1
[PATCH] v2v: Fix RPM file owned test (RHBZ#1503958).
Linux.file_owner is not used by any other function, so remove it.
Linux.is_file_owned is only used when removing kmod-xenpv on old RHEL
releases, and so is only required to work for RPM.
The old file_owner/is_file_owned functions were completely broken.
This replaces them with a simpler, working implementation that only
covers the narrow use case of removing kmod-xenpv non-owned
directories.
2016 Aug 03
1
Re: [PATCH] v2v: fixed file_owner function
On Wed, 3 Aug 2016 11:14:26 +0100
"Richard W.M. Jones" <rjones@redhat.com> wrote:
> On Mon, Aug 01, 2016 at 02:46:14PM +0200, Tomáš Golembiovský wrote:
> > What was happening in file_owner function did not match the description
> > in the comment. When a path is owned by multiple packages the returned
> > string was in fact a concatenation of the names of all
2006 Aug 03
1
A patch for ocfs2 source configuration process.
Hi,
I have downloaded the newest source code ocfs2-1.2.3.tar.gz from
oss.oracle.com.
After do the configuration I find a strange thing. Although my
kernel is "2.6.9-11.19AX"(Asianux2.0 on a vmware server with a single
processor configured), the configuration find that it is
2.6.9-11.19AX-smp. So after I make and install, those *.ko went to the
wrong place.
The reason is:
1.
2013 Jan 26
2
confidence / prediction ellipse
Hi,
I'm using the R library(car) to draw confidence/prediction ellipses in a
scatterplot.
>From what i understood the ellipse() function return an ellipse based
parameters: shape, center, radius .
If i read dataEllipse() function i can see how these parameters are
calculated for a confidence ellipse.
ibrary(car)
a=c(12,12,4,5,63,63,23)
b=c(13,15,7,10,73,83,43)
v <-
2002 Jan 04
1
[S] confidence ellipsoid for model parameters
John Fox wrote:
>The confidence ellipse for a pair of coefficients is just (with an
>adjustment for size) the perpendicular shadow of the joint ellipsoid, in
>the same sense that the confidence intervals for individual coefficients
>are shadows of the joint ellipsoid or ellipse. The usual confidence ellipse
>for 2 of q coefficients uses qf(.95, 2, df.error) to scale the ellipse; if
2006 Dec 10
1
Noncentral t & F distributions
Dear List:
The square of the noncentral t-statistic with noncentrality parameter
\delta is a noncentral F with noncentrality parameter \lambda=\delta^2.
So, t^2_{\nu,\delta} = F_{1,\nu,\lambda=\delta^2}. Consequently, it
should follow that t^2_{1-\alpha/2,\nu,\delta} =
f_{1-alpha,1,\vu,\lambda=\delta^2}. However, this is not what is
happening with the following code. The central
2008 Apr 03
3
summary(object, test=c("Roy", "Wilks", "Pillai", ....) AND ellipse(object, center=....)
Dear All,
I would be very appreciative of your help with the following
1). I am running multivariate multiple regression through the manova() function (kindly suggested by Professor Venables) and getting two different answers for test=c("Wilks","Roy","Pillai") and tests=c("Wilks","Roy",'"Pillai") as shown below. In the
2005 Apr 02
2
Solaris10/amd64 + SunSutio Compile (PR#7767)
Full_Name: Teru KAMOGASHRIA
Version: 2.0.1
OS: SunOS sun 5.10 Generic i86pc i386 i86pc
Submission from: (NULL) (219.5.176.24)
rbinom.c cannot be compiled because of the casting problem.
/opt/SUNWspro/bin/cc -I. -I../../src/include -I../../src/include
-I/usr/local/include -DHAVE_CONFIG_H -D__NO_MATH_INLINES -g -c rbinom.c -o
rbinom.o
"rbinom.c", line 60: operand must have real
2010 Mar 23
2
[PATCH] Remove initrd patching from oc-boot
Dracut includes what was being patched in
Signed-off-by: Mike Burns <mburns at redhat.com>
---
scripts/ovirt-config-boot | 47 ---------------------------------------------
1 files changed, 0 insertions(+), 47 deletions(-)
diff --git a/scripts/ovirt-config-boot b/scripts/ovirt-config-boot
index d13dad2..28d1572 100755
--- a/scripts/ovirt-config-boot
+++ b/scripts/ovirt-config-boot
@@
2006 May 26
1
query: sample size calculation
Dear all,
I am doing something wrong.
I am trying to apply a formula for sample size calculation as in the book
"Design and Analysis of Clinical Trials", from Chow et all.
There a suggested sample size strategy uses the formula
0.30/0.45=F(0.80,2n,2n)/F(0.025,2n,2n)
which gives n=96, as in the book.
(here F(alfa,k,n) is the upper (alfa)th quantile of an F distribution with
k,n