There are many ways to do this, really. For example if you use
constrained (~ canonical) correspondence analysis the distance measure
between sites is Chi-square and absences are not informative to the
analysis. Or you can use an ecological distance measure (similarity
indices like Soerensen,
I had similar problems, actually it is very difficult to customize persp
graphics, you should try wireframe in lattice instead.
This reference might help to customize the wireframe plots:
http://www.polisci.ohio-state.edu/faculty/lkeele/3dinR.pdf
JR
El mié, 14-03-2007 a las 20:40 -0700, Joseph
Hi out there,
I am trying to fit a species accumulation curve (increase in number of
species known vs. sampling effort) for multiple regions and several
bootstrap samples. The bootstrap samples represent different
arrangements of the actual sample sequence.
I fitted a series of nlme-models and
Dear Monireh,
try using lattice:
library(lattice)
set.seed(1234)
dat - data.frame(months=rep(1:10,80),upper = rnorm(800)+1,
lower = rnorm(800)-1,
observed = rnorm(800), best.sim = rnorm(800),
stname = factor(gl(80, 10)))
jpeg(filename =
The variances of the random effects and the residual variances are given
by the summary function. Maybe VarCorr or varcomp gives you the answer
you are looking for:
library(nlme)
library(ape)
?VarCorr
?ape
JR
El mié, 07-03-2007 a las 13:09 +0100, Berta escribió:
Hi R-users,
when carrying out
From the help of weekdays:
Note:
Other components such as the day of the month or the year are very
easy to compute: just use 'as.POSIXlt' and extract the relevant
component.
Yet another option:
help(package=chron)
JR
El mié, 07-03-2007 a las 15:35 +, Sérgio Nunes
El lun, 05-03-2007 a las 22:16 -0800, Dylan Arena escribió:
So here is my question in a nutshell:
Does anyone have ideas for how I might efficiently process a matrix
like that returned by a call to combinations(n, r, rep=TRUE) to
determine the number of repetitions of each element in each row
A very simple solution is given in:
help(sunflowerplot,package=graphics)
##If you want to see it in action:
example(sunflowerplot)
El mar, 06-03-2007 a las 19:55 +1100, Jim Lemon escribió:
David Lloyd wrote:
I have code like this: -
qqmath is in the lattice package, which is not compatible with the
conventional graphics parameter. Why not using qqnorm and qqline
instead?
If you want to combine qqmath with other lattice plots you should look
at the documentation of the lattice and grid packages. If you read
carefully in
I have an interesting lme - problem. The data is part of the Master
Thesis of my friend, and she had some problems analysing this data,
until one of her Jurors proposed to use linear mixed-effect models. I'm
trying to help her since she has no experience with R. I'm very used to
R but have very
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