Displaying 20 results from an estimated 800 matches similar to: "expression()"
2007 Feb 01
3
indexing
Hello,
In a nutshell, I've got a data.frame like this:
> assignation <- data.frame(value=c(6.5,7.5,8.5,12.0),class=c(1,3,5,2))
> assignation
value class
1 6.5 1
2 7.5 3
3 8.5 5
4 12.0 2
>
and a long vector of classes like this:
> x <- c(1,1,2,7,6,5,4,3,2,2,2...)
And would like to obtain a vector of length = length(x), with the
corresponding
2007 Aug 06
2
warnings()
Hi,
Is there a way to know which library is giving a warning?
Specifically, I'm getting a set of warnings:
"Too many open raster files"
Thanks and best wishes,
--
Javier Garc?a-Pintado
Institute of Earth Sciences Jaume Almera (CSIC)
Lluis Sole Sabaris s/n, 08028 Barcelona
Phone: +34 934095410
Fax: +34 934110012
e-mail:jgarcia at ija.csic.es
2007 Feb 01
3
indexing without looping
Hello,
I've got a data.frame like this:
> > assignation <- data.frame(value=c(6.5,7.5,8.5,12.0),class=c(1,3,5,2))
> > assignation
>
value class
1 6.5 1
2 7.5 3
3 8.5 5
4 12.0 2
> >
>
and a long vector of classes like this:
> > x <- c(1,1,2,7,6,5,4,3,2,2,2...)
>
And would like to obtain a vector of length =
2007 May 21
1
help with this indexing
Hi all,
Let's say I have a long data frame and a short one, both with three
colums: $east, $north, $value
And I need to fill in the short$value, extracting the corresponding
value from long$value, for coinciding $east and $north in both tables.
I know the possibility:
for (i in 1:length(short$value)){
short$value[i] <- long$value[long$east==short$east &
long$north==short$north]
}
How
2006 Nov 23
2
which() over a matrix
Hello,
A brief question that I am not able to resolve by my own, but I presume
it's easy for you:
I've used apply to find the values closer to 0 in each row of a matrix:
closer.to.0 <- apply(abs(myarray),MARGIN=1,"min")
My question is how could I use which (or another way) to obtain a vector
that indicates which columns contains these "closer to 0" values?
(I
2006 Dec 19
1
xaxt="n" for image()
Hi,
The argument xaxt="n" for removing the x axis from a image plot does not
work for me.
I'm really using a function called plot.grassmeta() in library GRASS
that is a wrapper for image(), but it seems to me that the problem is
not in plot.grassmeta() but in image().
If I'm right could you tell me if there is a way to remove one axis from
a call to image()?
Thanks and wishes,
2007 Jan 05
1
gstat package. "singular" attibute
Hello,
I'm using the gstat package within R for an automated procedure that
uses ordinary kriging.
I can see that there is a logical ("singular") atrtibute of some
adjusted model semivariograms:
.- attr(*, "singular")= logi TRUE
I cannot find documentation about the exact meaning and the implications
of this attribute, and I dont know anything about the inner calculations
2007 Aug 07
0
warning in library(GRASS)
Hi,
With your help I've found out that library(GRASS) is the responsible for
several warnings I'm obtaining.
I've got a loop (~100 runs) and for every loop, I'm carrying out several
operations over a sequence of raster maps (12) read from the GRASS GIS.
But for every map and loop I always use RGRASS.temp as the R-workspace
name for the imported raster files, no matter the name of
2006 Dec 02
1
document_id globally incrementing
Hi All
I have made my xapian indexer automatically create new indexes once it
reaches X documents in each, and for each document that I add to each
sub-index, I record its document_id and its index_id (relating to what
index the document ended up in).
writabledatabase_add_document() returns document_id:s beginning from 0
for each new index when you add new documents, like you would expect.
So
2010 Aug 13
2
How to compare the effect of a variable across regression models?
Hello,
I would like, if it is possible, to compare the effect of a variable across
regression models. I have looked around but I haven't found anything. Maybe
someone could help? Here is the problem:
I am studying the effect of a variable (age) on an outcome (local recurrence:
lr). I have built 3 models:
- model 1: lr ~ age y = \beta_(a1).age
- model 2: lr ~ age + presentation
2011 Jun 22
2
VGAM constraints-related puzzle
Hello R users,
I have a puzzle with the VGAM package, on my first excursion into
generalized additive models, in that this very nice package seems to
want to do either more or less than what I want.
Precisely, I have a 4-component outcome, y, and am fitting multinomial
logistic regression with one predictor x. What I would like to find
out is, is there a single nonlinear function f(x) which acts
2009 Mar 27
1
snow Error.
Hello,
I have a program that used to run well in October, it uses library snow.
Since then, one change has ocurred (snow library has been updated) and
another could have ocurred (I've unadvertently modified something).
Anyway, now when I make the call:
parallel.model.results <- clusterApply(cl,processors.struct,MCexe)
exactly as I used to do, where MCexe is my function and
2007 Feb 02
1
multinomial logistic regression with equality constraints?
I'm interested in doing multinomial logistic regression with equality
constraints on some of the parameter values. For example, with
categorical outcomes Y_1 (baseline), Y_2, and Y_3, and covariates X_1
and X_2, I might want to impose the equality constraint that
\beta_{2,1} = \beta_{3,2}
that is, that the effect of X_1 on the logit of Y_2 is the same as the
effect of X_2 on the
2004 Oct 08
1
nlme vs gls
Dear List:
My question is more statistical than R oriented (although it originates
from my work with nlme). I know statistical questions are occasionally
posted, so I hope my question is relevant to the list as I cannot turn
up a solution anywhere else. I will frame it in the context of an R
related issue.
To illustrate the problem, consider student achievement test score data
with multiple
2008 Nov 29
1
function for simultaneous confidence interval of regression coefficients
List,
Would someone be so kind as to point me to a function that will calculate
simultaneous confidence intervals of regression coefficients based upon
their distribution as (under the assumption of normal errors, with
\mathbf{X} as the design matrix):
$\hat{\mathbf{\beta}} \sim N(\mathbf{\beta},
\sigma^2(\mathbf{X}^T\mathbf{X})^{-1})$.
'confint' calculates individual coefficients so
2008 Sep 12
2
Greyed text in the background of a plot
Hi!
Is there any way of having a greyed ("ghosted") text
(i.e, 2006) in the background of a plot?
I'm making a dynamic plot and would like to show the
year of each time step as a big greyed text in the background.
(the idea comes from Hans Rosling video:
http://video.google.com/videoplay?docid=4237353244338529080&sourceid=searchfeed
)
Thanks
Agus
--
Dr. Agustin Lobo
Institut
2008 Jun 27
4
Recoding
Hi!
Given a vector (or a factor within a df),i.e. v1 <- c(1,1,1,2,3,4,1,10,3)
and a dictionary
cbind(c(1,2,3),c(1001,1002,1003))
is there a function (on the same line than recode() in car)
to get v2 as c(1001,1001,1001,1002,1003,4,1001,10,1003) ?
I'm using myself a function based on match() since
long ago (I think that thanks to advice by Prof. B. Ripley),
but would like to know if there
2008 May 19
2
Log or diary file
Hi!
Is it possible to set a file to which both
commands and output would get automatically
saved? I've tried with sink(), but only get
the output. I mean something
like a combined history and sink, as you
get with File/Save to File.. in the windows
GUI.
Tis is done with diary filename in Matlab,
and you can state diary on and
diary off to control what is being saved to
the file.
Thanks
Agus
2010 Oct 13
5
Poisson Regression
Hello everyone,
I wanted to ask if there is an R-package to fit the following Poisson
regression model
log(\lambda_{ijk}) = \phi_{i} + \alpha_{j} + \beta_{k}
i=1,\cdots,N (subjects)
j=0,1 (two levels)
k=0,1 (two levels)
treating the \phi_{i} as nuinsance parameters.
Thank you very much
--
-Tony
[[alternative HTML version deleted]]
2019 Nov 26
2
Como enfocar un problema
Buenas
Tengo que analizar unos datos, donde tengo unas piezas fabricadas y el n?mero de ciclos qie aguantan hasta q se parten.
Algunas piezas son de un fabricante, otras de otro,.. En cada ciclo a algunas piezas se le somete a algun tipo de tratamiento termico, a otras a otro, algunas se pintan, otras no...
Por ejemplo, para una pieza tengo los siguientes datos:
Ciclo. Tratamiento. Pintado.