, Lorenzo Isella [EMAIL PROTECTED] wrote:
Dear All,
I am experiencing some problems with relocating an axis title.
I visited the following link before posting:
http://tolstoy.newcastle.edu.au/R/help/05/05/5283.html
But this is not entirely what I would like to do
Consider the example below
Dear All,
Hope I am not bumping into a FAQ, but so far my online search has been fruitless
I need to read some data file using R. I am using the (I think)
standard command:
data_150-read.table(y_complete06000, header=FALSE)
where y_complete06000 is a 6000 by 40 table of numbers.
I am puzzled at
:
On Tue, 15 May 2007, Lorenzo Isella wrote:
Dear All,
Hope I am not bumping into a FAQ, but so far my online search has
been fruitless
I need to read some data file using R. I am using the (I think)
standard command:
data_150-read.table(y_complete06000, header=FALSE)
where
John Kane wrote:
--- Lorenzo Isella [EMAIL PROTECTED] wrote:
(4)finally, a list of the advantages for using R
over commercial
statistical packages. The money-saving in itself is
not a reason good
enough and some people are scared by the lack of
professional support,
though
Regards
Lorenzo Isella
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Dear All,
So far I have mainly used R for data analysis and simple numerics
(integration of functions, splines etc...).
However, I have recently been astonished at finding out that many
things I thought were only achievable with Fortran or C can be done
e.g. entirely using MatLab.
When I try
Dear All,
Say you want to plot, on the same figure two quantities, concentration
and temperature, both as function of the same variable.
I'd like to be able to put a certain label and scale on the y axis on
the left of the figure (referring to the temperature) and another
label and scale for the
Dear All,
I would like to automate the analysis and plotting of data taken from a grid.
Typically I deal with 2 spatial coordinates and a scalar f(x,y), but
the spatial grid is not evenly spaced at all and usually given in this
form:
x y
On 24/11/06, Roger Bivand [EMAIL PROTECTED] wrote:
On Fri, 24 Nov 2006, Lorenzo Isella wrote:
Dear All,
I would like to automate the analysis and plotting of data taken from a
grid.
Typically I deal with 2 spatial coordinates and a scalar f(x,y), but
the spatial grid is not evenly
Dear All,
I modified a script of mine to allow it to work with complex numbers.
I now have some warnings of this kind:
Warning messages:
1: imaginary parts discarded in coercion
2: imaginary parts discarded in coercion
and so on.
I would like to be able to find out where in the code something
Dear All,
I am given a set of files names as:
velocity1.txt
velocity2.txt
and so on.
I am sure there must be a way to read them automatically in R.
It is really taking me longer to read them than to analyze them.
Anybody has a suggestion to help me out with this?
Many thanks
Lorenzo
Dear All,
I am working with functions of several variables, e.g. f(x,y,z).
At some point, I would like to fix y and z and consider the resulting
function of x only for numerical interation with the integrate
routine.
I know how to define a wrapper g-function() {f(x,y,z)} , but I could
not get a
Dear All,
I'd like to know if it is possible to create animations with R.
To be specific, I attach a code I am using for my research to plot
some analytical results in 3D using the lattice package. It is not
necessary to go through the code.
Simply, it plots some 3D density profiles at two
Dear All,
A question a bit outside statistics.
In my group, a lot of people use Matlab for simple simulations of
stochastic processes describing convection/diffusion problems (as
long as the numerics does not get too expensive and one has to resort
to C or Fortran).
Leaving aside the theory, it
Dear All,
I have seldom needed to use loops in R, but now I need to code a loop
with a stride different from one.
In the R manual I downloaded I have the example:
xc - split(x, ind)
yc - split(y, ind)
for (i in 1:length(yc)) {
plot(xc[[i]], yc[[i]]);
abline(lsfit(xc[[i]], yc[[i]]))
}
Dear All,
I am practicing with the image and wireframe (the latter in the lattice
package) plotting tools.
I am a bit puzzled by the colors I observe in some test plots I have
been generating.
Consider:
rm(list=ls())
library(lattice)
x - seq(-2*pi, 2*pi, len = 100)
y - seq(-2*pi, 2*pi, len =
Dear All,
I am getting some data from fluid dynamics simulations (air mixing in
a pipe, 2D axial symmetry, geometry described by a radial coordinate r
and an axial coordinate z) which I'd like to plot and analyze with R.
Think about slicing the cylinder along its axial direction to get a
set of
Dear All,
I am starting to use R excellent graphical facilities to produce
good-looking plots.
However, I do not know yet how for use pedices/apices (e.g. when you
write cm^3) and Greek letters (e.g. \sigma) which I really need now.
Is there a special package to load? Could anyone post a simple
Dear All,
A simple question: packages like fitdistr should be ideal to analyze
samples of data taken from a univariate distribution, but what if
rather than the raw data of the observations you are given directly
and only a histogram?
I was thinking about generating artificially a set of data
Hi,
I know this is a bit off-topic, but I am quite puzzled. I am going
through several papers about aerosol physics and in this field you
often have determine the parameters of a distribution to match your
experimental data (one typically uses a Gaussian mixture).
However, in many cases people
Hi,
Probably a trivial question: if you do type something like:
out-nls( here goes the model ),
then you can type out or summary(out) to see the fitted
parameters, the quality of the fit etc...
but what if you want to get the fitted parameters as a vector to
re-use them straight away in the
Dear All,
I may look ridiculous, but I am puzzled at the behavior of the nls with
a fitting I am currently dealing with.
My data are:
x N
1 346.4102 145.428256
2 447.2136 169.530634
3 570.0877 144.081627
4 721.1103 106.363316
5 894.4272 130.390552
6 1264.9111 36.727069
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