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should have added: dim(x)[2L] -> length(x)
Am 31.03.20 um 16:21 schrieb Prof. Dr. Matthias Kohl:
Dear Ivan,
if I enter ncol in the console, I get
function (x)
dim(x)[2L]
indicating that function dim is called. Function dim has a method for
data.frame; see methods("dim").
T
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sequence alignment.
To get a first impression try:
vignette(RFLPtools)
as well as
library(RFLPtools)
example(RFLPplot)
example(RFLPrefplot)
Best regards,
Fabienne
Alexandra
Matthias
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in ExamplesEstimation.R in folder scripts
Best
Peter
Matthias
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an example with framed code in vignette
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Introduction to Metabolomics and biomarker research.
The course will take place in Innsbruck, 16th to 17th November 2009, and
will be held in German.
For more details see:
http://www.gdch.de/vas/fortbildung/kurse/fortbildung2009.htm#1175
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search on whether there's a way to
computer
the median for each row of a nxn matrix and return the medians for
each row
for further computation.
And also if the number of columns in the matrix are even, how could I
specify which median to use?
Thank you very much!
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? isn't it sufficient to give slot d,
and then you have automatic methods implemented to get from d() to r()
slots etc. is that right?
Thanks a lot for your help and time !
Best,
Guillaume
Matthias Kohl a écrit :
Dear Guillaume,
thanks for your interest in the distrMod package.
Regarding
likelihood by hand with numerical convolutions and
optim() etc., but I would like to know how to use distr, so if there
is anyone who had the same problem and solved it, I would be very
grateful for the hint !
All the best,
Guillaume
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in a regression
model), and results in overstated confidence of the final estimates by
not taking into account the imprecision in the normalizing factors.
Frank
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R
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recommend an alternative?
Thanks
Rainer
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?
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message:
Error in image.default(1:nc, 1:nr, x, xlim = 0.5 + c(0, nc), ylim =
0.5 + :
dimensions of z are not length(x)(+1) times length(y)(+1)
-Peter
At 10:18 AM +0200 5/15/08, Matthias Kohl wrote:
Dear Peter,
heatmap.2(z, dendrogram = none, Rowv = FALSE, Colv = FALSE)
should do
.
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Dear David,
no, distrTEst won't help. It has a different intention.
We are currently working on a new package distrMod
(cf. https://r-forge.r-project.org/projects/distrmod/)
which sometime might have such a functionality.
Best,
Matthias
David Bickel wrote:
Is there any automatic mechanism for
one addition ...
Hello Ricardo,
another solution could be using package distr:
library(distr)
A - c(18,18,18,19,20,21,22,23,24,25,26,27,28)
DA - DiscreteDistribution(A)
# maybe
# support(DA)
# plot (DA)
B - c(82,83,84,85,85,86,87,88,89,90,91,91,92)
DB - DiscreteDistribution(B)
#
Hello Ricardo,
another solution could be using package distr:
library(distr)
A - c(18,18,18,19,20,21,22,23,24,25,26,27,28)
DA - DiscreteDistribution(A)
# maybe
# support(DA)
# plot (DA)
B - c(82,83,84,85,85,86,87,88,89,90,91,91,92)
DB - DiscreteDistribution(B)
# support(DB)
# plot(DB)
DC - DB
Dear Pedro,
you might be interested in the demo StationaryRegressorDistr of
package distr.
library(distr)
demo(StationaryRegressorDistr)
hth,
Matthias
[EMAIL PROTECTED] wrote:
Thanks Prof. Ripley.
My apologies for not including the code.
Below I illustrate my point using the GLD
Dear Milton,
package distrEx has methods to compute skewness.
library(distrEx)
?skewness
To generate new distributions you could use package distr.
hth,
Matthias
Milton Cezar Ribeiro wrote:
Dear all,
How can I generate values which distrituions have left or rigth skewness.
After that,
Hello Rainer,
You could also get a very exact approximation using our package distr; e.g.
library(distr)
B1 - Binom(prob = 0.4, size = 20)
B2 - Binom(prob = 0.2, size = 10)
B3 - B1+B2 #convolution!
plot(B3)
hth,
Matthias
Rainer M. Krug schrieb:
Frede Aakmann Tøgersen wrote:
Perhaps
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