Dear R-helpers,
I have lat/lon coordinates of regularly spaced grid points, about 4Km
apart, covering the entire US continental region.
I would like to mask this rectangular grid in order to extract all and
only the grid points within a specific region. Today I want to
extract Montana, say, from
This is an approach
Run the model variables on hold out sample.
Check and compare ROC curves between build and validation datasets.
Check for changes in parameter estimates (co efficients of variables) p
value and signs.
Check for binning (response versus deciles of individual variables).
Ajay ohri wrote:
This is an approach
Run the model variables on hold out sample.
Check and compare ROC curves between build and validation datasets.
Check for changes in parameter estimates (co efficients of variables) p
value and signs.
Check for binning (response versus deciles of
On 07/10/2008 6:08 PM, claudia tebaldi wrote:
Dear R-helpers,
I have lat/lon coordinates of regularly spaced grid points, about 4Km
apart, covering the entire US continental region.
I would like to mask this rectangular grid in order to extract all and
only the grid points within a specific
Em Terça 07 Out 2008, Dr Eberhard Lisse escreveu:
Why don't you hack a little script that looks at system load,
temperature and date/time and writes it somewhere. Then
Done! Columns are time, % of cpu usage and cpu temp in Celsius degrees.
The R script used was complete in about 2 min 10 sec
Ben Bolker wrote (to the r-sig-mixed-models list):
I still don't know what to do about the compromise between
how statistics should be done and how journal editors seem
to insist it should be done ...
This seems to me to be worthy of being included as a fortune.
This is a follow-up on the discussion originally posted on the R-devel list (
http://tolstoy.newcastle.edu.au/R/e4/devel/08/06/1901.html ), as I have
encountered the exact same issue mentioned in Martin's email. Here is a
simplified version of my problem:
Hi,
Yes, from my humble opinion, it doesnt make any sense to use the (2-class) ROC
curve for a rating system. For example, if the classifier predicts 100% for all
the defaulted exposures and 0% for the good clients, then even though we have a
perfect classifier we have a bad rating system.
Hello everybody,
I have a package with a C codes called from R.
I want to debug the C functions to check variables values and to include some
breakpoints in the C codes.
I am wondering if anyone knows of any tools to easily help debug in the R
environment.
Thank you very much for your help.
I am trying to do a histogram lattice plot and I would like the
histogram to be filled with a different colour in each panel.
Note: I want every bar in each histogram to be the same colour,
but that there should be different colours *between* histograms.
Can't seem to get this to work. I
On Tue, Oct 7, 2008 at 8:54 PM, Rolf Turner [EMAIL PROTECTED] wrote:
I am trying to do a histogram lattice plot and I would like the
histogram to be filled with a different colour in each panel.
Note: I want every bar in each histogram to be the same colour,
but that there should be
Try
AA - apply(A,1,function(x) paste(x,collapse=))
and work with AA.
--- On Tue, 30/9/08, Jose Luis Aznarte M. [EMAIL PROTECTED] wrote:
From: Jose Luis Aznarte M. [EMAIL PROTECTED]
Subject: [R] ordering problem
To: [EMAIL PROTECTED]
Received: Tuesday, 30 September, 2008, 8:43 PM
Hi
Another approach that will probably be more work up front, but may be better in
the long run if you are going to be doing a lot of this is to use the maptools
and sp packages. Create a spatialpointsdataframe from your data, read in a us
map (there are shapefiles that you can get from the US
Ajay ohri wrote:
the purpose of validating indirect measures such as ROC curves.
Biggest Purpose- It is useful while in more marketing /sales meeting
context ;)
That is far from clear. It seems that ROC curves are being used to
impress non-statisticians more than for shedding light on
Hello,
I am trying to optimise a nonlinear model to derive 'best-fit' parameter
esimates using the genoud function. I have been using the genetic algorithm
- gafit - in order to do this, but I am getting parameter estimates that do
not always reach the global minimum. I am very keen to apply
On Tue, 7 Oct 2008, pejpm wrote:
I will preface this message by saying that I am not an R developer and no
very little about R...but here is my situation:
One of my users has developed a model for analysing commodity prices. At the
moment when he runs this model on his daily data set it takes
Hi R People:
I am looking at the Braun/Murdoch book, A First Course in
Statistical Programming in R, and I have a question about a function
there. It's on page 52, Example 4.5; the sieve of Erastosthenes.
There is a line:
primes - c()
Is there a difference between using that and
primes - NULL
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