Displaying 6 results from an estimated 6 matches for "sfsappli".
Did you mean:
sfsapply
2012 Jun 28
1
undefined S4 class in parallel computing at snowfall
Dear All,
I have a question of how to export S4 class specification to
clusters/workers in parallel computing. The package I used is snowfall. The
problem is reproducible as follows. Any hint is greatly appreciated.
Edwin Sun
=== begin ===========
library(snowfall)
sfInit(parallel = TRUE, cpus = 2)
setClass("catt", representation(aa = "numeric"))
setClass("dogg",
2012 Feb 11
1
R Parallel question
Hi All,
I have a question about R parallel computing by using snowfall.
How can I set the seeds on parallel workers to get the same result as
sequential mode?
For example:
> sfSapply(c(1,1),rnorm)
[1] 1.823082 -2.222052
> rnorm(2)
[1] -0.5179967 -1.0807196
How to get the identical result?
Thanks.
Libo Sun
Graduate Student,
Department of Statistics,
Colorado State University
Fort
2011 Dec 20
1
Convert ragged list to structured matrix efficiently
Hi All,
I'm wanting to convert a ragged list of values into a structured matrix for
further analysis later on, i have a solution to this problem (below) but
i'm dealing with datasets upto 1GB in size, (i have 24GB of memory so can
load it) but it takes a LONG time to run the code on a large dataset. I
was wondering if anyone had any tips or tricks that may make this run
faster?
Below is
2011 Dec 23
2
missing value where TRUE/FALSE needed
Merry Xmas to all,
I am writing a function and curiously this runs sometimes on one data set
and fails on another and i cannot figure out why.
Any help much appreciated.
If i run the code below with
data <- iris[ ,1:4]
The code runs fine, but if i run on a large dataset i get the following
error (showing data structures as matrix is large)
> str(cluster.data)
num [1:9985, 1:811] 0 0 0 0
2010 Dec 10
2
Could concurrent R sessions mix up variables?
Hi, I'm working in R 2.11.1 x64 on Windows x86_64-pc-mingw32.
I'm experiencing a strange problem in R that I'm not even sure how to
begin to fix.
I've got a huge (forty-pages printed) simulation written in R that I'd
like to run multiple times. When I open up R and run it on its own,
it works fine. At the beginning of the program, there's a variable X
that I set to 1,
2010 Dec 11
0
is there a packge or code to generate markov chains in R
Hi,
if i have data in the following time series format:
time, amount, state
1 2222 A
1 333 B
2 45 A
2 77 B
where states could be n and time periods t is there a package in R that would calculate the transition probabilities in a markov chain.
for each t except t=0 to generate
A B
A
B
perhaps the best structure might