Displaying 5 results from an estimated 5 matches for "nchecr".
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2008 Mar 07
1
Installing latest version under Windows (PR#10908)
...and
that choice applies to both installation and un-installation but not to
running R itself.)=20
See the R Windows FAQ
<http://CRAN.R-project.org/bin/windows/base/rw-FAQ.html> for more
details.=20
=20
__________________________________________________
Rebecca Oyomopito [royomopito at nchecr.unsw.edu.au]
TASER Surveillance and Monitoring Study Coordinator=20
Biostatistics and Databases Program
National Centre in HIV Epidemiology and Clinical Research (NCHECR)
The University of New South Wales
376 Victoria Street Sydney NSW 2010 AUSTRALIA
Phone: + 61 (0) 2 9385 0900
Fax: + 61 (0) 2...
2009 Sep 28
2
A programming question - is what I want to do possible in R?
I have a large data frame, 77 rows, with 10 columns. Each row represents a
unique individual with 10 characteristics, some of which are categorical
factors and some continuous numeric variables. Each of the ten variables is
important (the 10 columns obviously correspond to the individuals of
interest). Importantly, this data set represents a population (not sample)
of people with a certain medical
2009 Oct 15
1
performing function on lists where each element is a data frame
I have browsed the archive, and played around with a whole bunch of ways of
approaching the problem, and I cannot get the answer that I want.
I have a list with 2000 elements. Each element is a data frame with 2
columns. As an example, see element 1999 below.
[[1999]]
H N
6 0.54 26
10 0.31 13
11 0.12 34
13 0.00 38
4 0.59 37
16 0.44 9
19 0.08 13
14 0.64 39
8
2010 Feb 23
2
Lists into matrices within lists...again
Related questions to this have been asked before, but I have tried all
options they gave me unsuccessfully (do.call and unlist).
I start with three lists of summary statistics, 100 elements each, which I
bind together:
statslist <- as.data.frame(cbind (means, vars, mcrs))
I then take 100 samples of this data frame of varying lengths:
stats <- lapply (1:100, function (dummy) {
2002 Sep 10
2
Hat values for generalized additive models
Would anyone be able to provide insight for the following question, please?
Setting: estimation of prediction intervals for age-period-cohort models
using GAMs (rate ~ s(age,period))
Method: bootstrap (Davison and Hinkley, 1997)
Issue: standardisation of the residuals for resampling requires an
adjustment using the diagonals of the hat matrix.
Is there a simple way to get the hat values out of a