Displaying 8 results from an estimated 8 matches for "introductionary".
2008 Nov 24
3
select a subset
I have the complete data like
id time censor
1 10 0
1 20 0
1 30 0
2 10 0
2 20 1
2 30 0
2 40 0
3 10 0
3 20 0
3 30 1
....
for id 1, i want to select the last row since all censor indicator is 0; for
id 2, i want to select the row where censor ==1; for id 3, i also want to
select the row where censor==1. So if there is a 1 for censor, then I want
to select such a row, otherwise I want to select the
2001 Nov 07
2
C code
...with its own GUI
etc.) using
R functions inside? (via the R.dll in the Windows case)
I understand that it is possible to write C-code to be used inside R,
which
1. do not use R-functions itself (called with .C)
2. do use R-structures inside (called with .Call)
Is this right?
Are there very simple introductionary examples for my case - if this is
possible
at all?
Best regards,
Holger
--
PD Dr. habil. Holger Perlt
Diplomphysiker/Gesch?ftsf?hrer
Reinforcement Control GmbH
Karl-Heine-Str. 99
04229 Leipzig
Germany
Phone: ++49 (0)341 9410370
Fax: ++49 (0)341 9410372
http://www.reinforcement.de
-.-.-.-.-.-.-....
2006 May 08
1
Repeatability and lme
...question using
repeatability, defined as
r = sa^2 / (sa^2 + s^2)
where sa^2 is the among-groups variance component and s^2 is the
within-group variance component (Lessells & Boag, 1987). Usually,
repeatability is used together with one-way ANOVA, but I'd rather stick to
lme. So for the introductionary example to lme in Pinheiro and Bates (2001)
with Rails, I thought it would be appropriate to follow this procedure:
> library(nlme)
> fm1Rail.lme <- lme(travel ~ 1, data = Rail, random = ~ 1 | Rail)
> summary(fm1Rail.lme)
...
Random effects:
Formula: ~1 | Rail
(Intercept) Re...
2007 Jun 12
3
Panel data
Dear all R users,
I have a small doubt about panel data analysis. My basic understanding on Panel data is a type of data that is collected over time and subjects. Vector Autoregressive Model (VAR) model used on this type of data. Therefore can I say that, one of statistical tools used for analysis of panel data is VAR model? If you clarify my doubt I will be very grateful.
Thanks and regards,
2004 Oct 19
0
flexmix version 1.0-0 released
...ata handling,
while the M-step can be supplied by the user to easily define new
models. Existing drivers implement mixtures of standard linear models,
generalized linear models and model-based clustering.
Compared to the porvious version on CRAN the code has not changed, but
the package has now an introductionary vignette, see
vignette("flexmix-intro")
after installing the package. The vignette has also been published in
the Journal of Statistical Software, see http://www.jstatsoft.org.
Best regards,
Fritz Leisch
** DESCRIPTION *******************************************
Package: flexmix
Vers...
2004 Oct 19
0
flexmix version 1.0-0 released
...ata handling,
while the M-step can be supplied by the user to easily define new
models. Existing drivers implement mixtures of standard linear models,
generalized linear models and model-based clustering.
Compared to the porvious version on CRAN the code has not changed, but
the package has now an introductionary vignette, see
vignette("flexmix-intro")
after installing the package. The vignette has also been published in
the Journal of Statistical Software, see http://www.jstatsoft.org.
Best regards,
Fritz Leisch
** DESCRIPTION *******************************************
Package: flexmix
Vers...
2007 Sep 18
1
Installing add-on packages
Admittedly, I don't have much experience with R. I have dowloaded and
installed some add-on packages (leaps, for one). When I try to run the
leaps function I get the following error:
Error: could not find function "leaps"
Any idea on what the problem could be? Thanks,
--
John R Pleis
2011 Dec 12
0
Confidence intervals of gls function?
Dear gls-experts,
while reading and testing some examples of the book
"introductionary time series analysis with R",
I encountered the following fact which puzzles me.
Confidence intervals for global temperature time series (P99)
computed from general least squares (GLS) to fit the time series.
I repeat the example from the book and get the same results:
temp.gls=gls(temp ~ t...