Hi everyone,
I am new to Linux and R - but I managed to build R-2.5.1 from source to use
it in Genepattern. Genepattern does only support R-2.5.1 which I could not
find anywhere for installation via apt-get or in the Ubuntu Software-Centre
(I am using Ubuntu 14.04 (Trusty Tahr) 32-bit)
But after
On Jul 31, 2015, at 8:41 PM, Christopher Kelvin wrote:
Thanks Dave.
What I actually want is to obtain say 10, different sets of (n=50) data for
every 10,000 iterations I run. You will realise that the current code
produces one set of data (n=50). I want 10 different sets of 50
Adam,
You reopened an old thread noting its age, but did you begin at its beginning?
Subject: vectorized sub, gsub, grep, etc. Date: Oct 7, 2008
R pattern-matching and replacement functions are
vectorized: they can operate on vectors of targets.
However, they can only use one pattern and
How about this:
Setting Rstudio server using Amazon Web Services (AWS) – a step by step
(screenshots) tutorial
http://www.r-statistics.com/2015/06/setting-rstudio-server-using-amazon-web-services-aws-a-step-by-step-screenshots-tutorial/
Contact
Hello Mr. FeldesmanI am a master student in biostatistic
my thesis about missing values in microarray data, but � can't create any
values.
� want to create %10, %20,...%90 missing values for all colums in microarray
data set .
Can you help me any code?
thank you for your attention.
Asena Ay�a
I am not sure how you are doing this but there is a package on CRAN
which implements the Copas model (metasens). I am not sure whether that
would help in your modelling.
On 01/08/2015 02:36, Christopher Kelvin via R-help wrote:
Dear All,
I am performing some simulations for a new model. I run
Hi John,
So, you think looping over the sub() function with regular expressions
disabled is somehow more nuanced? Perhaps you should have specified that
you were only interested in sub() function results. Regardless, the
original function failed to match the 'a' in 'ab,' which should have
Hi there
I would like to use a specific equation to fit a curve to one of my data
sets (attached)
dput(data)
structure(list(Gossypol = c(1036.331811, 4171.427741, 6039.995102,
5909.068158, 4140.242559, 4854.985845, 6982.035521, 6132.876396,
948.2418407, 3618.448997, 3130.376482,
On 07/31/2015 10:48 PM, Joerg Kirschner wrote:
Hi everyone,
I am new to Linux and R - but I managed to build R-2.5.1 from source to use
it in Genepattern. Genepattern does only support R-2.5.1 which I could not
find anywhere for installation via apt-get or in the Ubuntu Software-Centre
(I am
I can get you started, but you should really read up on non-linear least
squares. Calling your data frame dta (since data is a function):
plot(Gossypol~Damage_cm, dta)
# Looking at the plot, 0 is a plausible estimate for y0:
# a+y0 is the asymptote, so estimate about 4000;
# b is between 0 and
Magi, is there a reason that you need to run the script via R? If your
plan is to download the data via python than then process with R, you
might consider using the Rpy2 package to link them. This would allow
you to call the downloading code from python and then have python feed
the data to R.
Hi Asena,
If you already have microarray data, you can simply change some of the
existing values to NA (datum Not Available). Say you have a toy 10x10
array containing absolute (initial) values:
array_values-matrix(sample(0:400,100,TRUE),nrow=10)
# create a 10% missing array
You can always just pull the last one off the list. When running things in
parallel, what does the last one mean? Do you want the last from each of
the parallel threads, or just the last one on the list? You might want to
put some flag on the data being returned so you can determine which one
Dear Jim,
Thank you very much for your response. It seems to work now, but the return
value is not the required matrix but a list of matrices (one for each repition
j).
Any idea how it is possible to return only the last matrix and not all?
Thanks and best,
Martin
Gesendet: Freitag, 31.
If you return just the row that the foreach procedure produces instead of
the entire matrix containing that row and use .combine=rbind then you will
end up with the matrix of interest. E.g.,
Simpar3a - function (n1)
{
L2distance - matrix(NA, ncol = n1, nrow = n1)
data - rnorm(n1)
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