Dear all,
I am processing a very long and complicated list using lapply through a custom
function and I would like to generate some sort of progress report. For
instance, print a dot on the screen every time 1000 item have been process. Or
even better, reporting the percent of the list that hav
Dear all,
I am writing a package with some of my favorite custom functions so that I can
share them with others. I do not have a lot of experience building these
packages and I apologize if this is a trivial question.
The issue I am having is with the generic function unlist used to unlist
GRa
I am pretty sure that I came across a function that creates a vector of levels
from a list but I just can't remember.
Basically, I have something like
> t <- list(A=c(4,1,4),B=c(3,7,9,2))
> t
$A
[1] 4 1 4
$B
[1] 3 7 9 2
And I would like to get something like the following:
t levels
4 1
1 1
4 1
Many thanks for the answers on my previous question, it got me started.
Indeed, stack() was the function I was vaguely remembering.
However, I didnĀ¹t get very far because my data set is way more complicated
then I expected. In fact I have a mixture of levels and lists within a list.
Basically, it
Dear all,
I have a dataframe with multiple observations and the levels as the last
column, as in:
d <-
data.frame(A=sample(1:100,12),B=sample(1:100,12),levels=c(rep('A',4),rep('B',4),rep('C',4)))
> d
A B levels
1 77 40 A
2 14 18 A
3 56 7 A
4 46 27 A
5 63 35 B
Dear all,
I am running anova(lm()) on a series of different data frame and I am getting
the following message
Using dataFrame$levels as id variables
1. Why am I getting that message
2. How do I suppress it (or correct it).
Thanks
Marco
--
Marco Blanchette, Ph.D.
Assistant Investigator
S
Dear all,
I am running anova(lm()) on a series of different data frame and I am getting
the following message
Using dataFrame$levels as id variables
1. Why am I getting that message
2. How do I suppress it (or correct it).
Thanks
Marco
--
Marco Blanchette, Ph.D.
Assistant Investigator
S
Dear R gurus,
On the CRAN website, it says that a 64bit version for Mac OS Tiger would be
release shortly. Do we know what are the expected dates? Will the packages be
also compiled for 64bit?
We are running large microarray analysis and we keep hitting the 3Gb memory
limit.
I saw that there
Carbon emacs ( http://homepage.mac.com/zenitani/emacs-e.html) using the
ess-mode ( http://ess.r-project.org/). Amazingly good integration of different
buffer types for different tasks. You can have your R session running in a
buffer, a .R buffer where you edit your functions/sources and with ver
Dear R gurus,
I have a very embarrassingly parallelizable job that I am trying to speed up
with snow on our local cluster. Basically, I am doing ~50,000 t.test for a
series of micro-array experiments, one gene at a time. Thus, I can easily
spread the load across multiple processors and nodes.
I think I found a solution. I do not like to use global variable by fear of
unpredictable side-effects but, I think that in this case I don't have to much
chance.
Here is a mock function that pushes the content of a variable evaluated within
a function to the nodes on the cluster, do some compu
Try
> source('myFirstScript.R')
Where myFirstScript.R as the following line
x <- rnorm(100)
y <- rnorm(100)
plot(x,y)
You could also use a editor like emacs with the ess-mode where one buffer can
be your script with a live R session in a second buffer.
Good luck
On 12/2/08 7:21 AM, "b g"
Dear all,
I just started to use the snow package to send multiple jobs on our cluster
using MPI and the Rpmi package as the communication method.
However, the Rmpi package have been behaving strangely. When I try to detach
the Rmpi package I get the following error message:
> library(Rmpi)
> d
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