Displaying 5 results from an estimated 5 matches for "44649".
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14649
2011 Feb 10
1
Newb Prediction Question using stepAIC and predict(), is R wrong?
...Median 3Q Max
-15.447 -4.993 -1.090 3.910 27.454
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.71370 1.46449 3.902 0.000149 ***
reservesub[, 3 + i] 1.00868 0.01643 61.391 < 2e-16 ***
reservesub$grads[, i] 0.44649 0.12131 3.681 0.000333 ***
reservesub$Sun 8.63606 1.95100 4.426 1.93e-05 ***
reservesub$Fri 3.76928 2.00079 1.884 0.061682 .
reservesub$Sat 4.03103 2.12754 1.895 0.060225 .
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
Residual...
2004 Dec 28
2
Configuration of memory usage
...NILSXP SYMSXP LISTSXP CLOSXP ENVSXP PROMSXP LANGSXP
1 30484 372373 4845 420 180 127274
SPECIALSXP BUILTINSXP CHARSXP LGLSXP INTSXP
203 1168 111434 5296 0 0 44649
REALSXP CPLXSXP STRSXP DOTSXP ANYSXP VECSXP EXPRSXP
13382 9 60173 0 0 26002 0
BCODESXP EXTPTRSXP WEAKREFSXP
0 106 0
Although I have no idea of memory allocation in R, apparently something's...
2003 Dec 11
1
users migration from Linux to W2K
Hi All,
We are migrating users from Linux (Mandrake 9.0) and Novel NetWare 6.0 to
Windows 2000 Active Directory. We have migrated successfully user from Novel
Netware to Windows 2000 but facing problem in Linux Users. Do you know any
utility which can help us out? So, we can move users IDs and password to
Windows 2000 active Directory instead of manually creating more 900 users in
W2K AD.
Thanks
2003 Sep 29
16
FreeBSD 4.9 RC1 (i386) now available
Not all FTP sites have the first release candidate, but it is at least
available from ftp.freebsd.org. Please download and install this
candidate and help us find bugs BEFORE we call it 4.9-RELEASE.
ftp.FreeBSD.org/pub/FreeBSD/releases/i386/4.9-RC1
ftp.FreeBSD.org/pub/FreeBSD/releases/i386/ISO-IMAGES/4.9-RC1-i386-disc1.iso
We are particularly interested in having people test this release
2009 May 05
2
problem with ggplot2 boxplot, groups and facets
I have a following problem:
The call
qplot(wg, v.realtime, data=df.best.medians$gv1, colour=sp, geom="boxplot")
works nice: for each value of the wg factor I get two box-plots (two levels in
the sp factor) in different colours, side-by-side, centered at the wg x-axis.
However, I want to separate the data belonging to different levels of the n
factor, so I add the facets option: