Beatriz Yannicelli wrote:
Dear all:
Is it possible to conduct a discriminant analysis in R with categorical and
continuous variables as predictors?
Beatriz
Beatriz,
Simply doing this in the R console:
RSiteSearch("discriminant")
yields many promising links. In particular, check documentatio
_nico_ wrote:
Hello everyone,
I'm trying to use mle from package stats4 to fit a bi/multi-modal
distribution to some data, but I have some problems with it.
Here's what I'm doing (for a bimodal distribution):
# Build some fake binormally distributed data, the procedure fails also with
real data
Zaslavsky, Alan M. wrote:
This article is accompanied by nice pictures of Robert and Ross.
Data Analysts Captivated by Power of R
http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html
Thanks for the heads up. The R morale is going through the roof!
I've given three
dave fournier wrote:
Hi All,
Following Mike Praeger's posting on this list,
I'm happy to pass on that AD Model Builder is now freely available from
the ADMB Foundation.
http://admb-foundation.org/
Two areas where AD Model builder would be especially useful to R users
are multi-parmater sm
Greg Snow wrote:
Sarah,
Doing:
RSiteSearch('gompertz', restrict='functions')
At the command prompt gives several promising results.
Hope this helps,
--
Gregory (Greg) L. Snow Ph.D.
And you can also do:
nobs <- length(data$salam.size.observed)
fn<-function(p){
salam.size.mod
Mike Lawrence wrote:
On Sat, Nov 8, 2008 at 3:59 PM, Rubén Roa-Ureta <[EMAIL PROTECTED]> wrote:
...
The fit is for grouped data.
...
As illustrated in my example code, I'm not dealing with data that can be
grouped (x is a continuous random variable).
Four points:
1)
Mike Lawrence wrote:
Hi all,
Where f(x) is a logistic function, I have data that follow:
g(x) = f(x)*.5 + .5
How would you suggest I modify the standard glm(..., family='binomial')
function to fit this? Here's an example of a clearly ill-advised attempt to
simply use the standard glm(..., famil
Rubén Roa-Ureta wrote:
Jon A wrote:
Hello,
I have a dataset with a continuous independent variable (fish length,
range:
30-150 mm) and a binary response (foraging success, 0 or 1). I want to
discretize fish length into 5 mm bins and give the proportion of
individuals
who successfully foraged
Jon A wrote:
Hello,
I have a dataset with a continuous independent variable (fish length, range:
30-150 mm) and a binary response (foraging success, 0 or 1). I want to
discretize fish length into 5 mm bins and give the proportion of individuals
who successfully foraged in each each size bin. I ha
Igor Telezhinsky wrote:
Dear all,
I have recently found out about the R project. Could anyone tell me if it is
possible to make the comparison of two distributions using R packages? The
problem is TRICKY because I have the distributions of measurements and each
measurement in the given distribut
leo_wa wrote:
In the previous post ,i ask how to plot the normal curve and the histogram
in the same graph.if i want to know how to plot the chi square distribution
to campare the data set ,how can i do that?
You should make up your mind, is your random variable X (-inf,+inf) or
Sum(X^2) (wh
leo_wa wrote:
i want to plot the histogram and the curve in the same graph.if i have a set
of data ,i plot the histogram and also want to see what distribution it
was.So i want to plot the curve to know what distribution it like.
To draw the curve and the distribution you should have an ide
drbn wrote:
Hello,
I have seen that some papers do this:
1.) Group data by year (e.g. 35 years)
2.) Estimate the mean of the key variable through the distribution that fits
better (some years is a normal distribution , others is a more skewed, gamma
distribution, etc.)
3.) With these estimat
Jordi Garcia wrote:
Good morning,
I am using R to try to model the proportion of burned area in
Portugal. The dependent variable is the proportion. The family used is
binomial and the epsilon would be binary.
I am not able to find the package to be used when the proportion (%)
has to be use
Jörg Groß wrote:
Hi,
Is there a way to simulate a population with R and pull out m samples,
each with n values
for calculating m means?
I need that kind of data to plot a graphic, demonstrating the central
limit theorem
and I don't know how to begin.
So, perhaps someone can give me some t
Prasanth wrote:
Dear All:
Greetings!
By the way, is it possible to have a graph (say line graph) that shows
"values" as well (say y-axis values within the graph)? One could do it in
excel. I am just wondering whether it is possible with R!
x <- rnorm(100,2,3)
y <- rnorm(100,2,3)
plot(x,
Daniela Garavaglia wrote:
Sorry, I have some troubles with the graph device.
How can I draw a function over a histogram?
Thank's so much.
Daniela,
What function?
Here is one example using density() and using dnorm()
x <- rnorm(1000,2,2)
hist(x,prob=TRUE)
lines(density(x,na.rm=TRUE),col="red
imicola wrote:
Hi,
I read somewhere that when carrying out geostatistical analysis in R you
should not use latitude and longitude...can anyone expand on this a little
for me, and what would be the best coordinate system to use?
Not only in R. In most systems, the inter-point distances are ass
imicola wrote:
Sorry, this is probably quite an easy question, but I'm new to R and couldn't
find the answer anywhere.
I'm using geoR and geoRglm, but can't figure out how to get a border in my
geodata object. Does this need to be defined when I'm importing my data, or
afterwards, and how do I
Mzabalazo Ngwenya wrote:
Hi everyone !
I'm am trying to fit a kriging model to a set of data. When I just run
the "likfit" command I can obtain the results. However when I try to
pass additional arguements to the optimization function "optim" I get
errors. That is I want to obtain the hessia
ComRades,
On Oct 16, 2006, I posted a question regarding how to find the parameter
values that made the likelihood function take a value equal to 1/8th of
the maximum likelihood value. There was no reply but I found a solution
and would like to know if there is a better solution using the funct
Richard Pearson wrote:
?rm
Richard
Ralf Goertz wrote:
How can I automatically exclude one variable from being saved in the
workspace when I quit an R session? The problem is I don't know how to
erase a variable once it has been created.
[...]
Ralf
More on the use of rm. If you want to
[EMAIL PROTECTED] wrote:
> Given a data set and a set of predictors and a response in the data,
> we would like to find a model that fits the data set best.
> Suppose that we do not know what kind of model (linear, polynomial
> regression,... ) might be good, we are wondering if there is R-package(
milton ruser wrote:
> Dear All,
>
> I have a set of environental maps and presence-only points for some species.
> How can I generate distributions models on R using these presence-only data?
> What packages and functions can I use to do so?
>
> Kind regards,
>
> Miltinho
> Brazil
If you have l
andrea previtali wrote:
> Hi,
> I need to analyze the influences of several factors on a variable that is a
> measure of fecundity, consisting of 73 observations ranging from 0 to 5. The
> variable is continuous and highly positive skewed, none of the typical
> transformations was able to normaliz
I think any geostatistical program/R package would have trouble handling
12000 observations on a PC. The empirical variogram would be built with
the combinations of 12000 over 2 pairs, nearly 72 millions pairs, and
during kriging, if you didn't restrict the search neighbourhood,
interpolation w
tom soyer wrote:
> Hi
>
> I have a general statistics question on calculating confidence interval of
> log transformed data.
>
> I log transformed both x and y, regressed the transformed y on transformed
> x: lm(log(y)~log(x)), and I get the following relationship:
>
> log(y) = alpha + beta * l
Antonio Olinto wrote:
> Hello,
>
> I'm analyzing some fish length-frequency data to access relative age and
> growth
> information and I would like to do something different from FiSAT / ELEFAN
> analysis.
>
> I found a package named MIX in http://www.math.mcmaster.ca/peter/mix/mix.html
> but i
[EMAIL PROTECTED] wrote:
> I'd like to compare length-weight regressions among years. Any information
> would be appreciated.
>
> a. gray
> fisheries consultant
Your message is rather cryptic for a general statistical audience,
whereas I'm sure in a fisheries group everybody would understand wha
ls. But I believe the
likelihood-based geostatistical model is the same as a generalized
linear mixed model where the distance is the random effect.
In SAS you can do this using the macro glimmix but from the point of
view of generalized linear mixed models because there they have
implemented a c
BEP wrote:
> Hello all,
>
> I am working with a very large data set into R, and I have no interest in
> reviving my SAS skills. To do this, I will need to drop unwanted variables
> given the size of the data file. The most common strategy seems to be
> subsetting the data after it is read into R
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