Displaying 5 results from an estimated 5 matches for "brynedal".
2008 Jul 21
1
dev2bitmap error, 'gs' cannot be found
...xe), "-help > /dev/null"))
if (rc != 0)
stop("sorry, 'gs' cannot be found")
}
I cant figure out how to fix this. I am not an experienced programmer.
Any help or tips would be greatly appreciated.
Thank you,
Boel
--~*~**~***~*~***~**~*~--
Boel Brynedal, MSc, PhD student
Karolinska Institutet
Department of Clinical neuroscience
2012 Aug 11
3
Problem when creating matrix of values based on covariance matrix
Hi,
I want to simulate a data set with similar covariance structure as my
observed data, and have calculated a covariance matrix (dimensions
8368*8368). So far I've tried two approaches to simulating data:
rmvnorm from the mvtnorm package, and by using the Cholesky
decomposition (http://www.cerebralmastication.com/2010/09/cholesk-post-on-correlated-random-normal-generation/).
The problem is
2012 Mar 02
2
Correlation of huge matrix saved as binary file
Hi,
I have a 900,000,000*9,000 matrix where I need to calculate the correlation
between all entries along the smaller dimension, thus creating a 9k*9k
correlation matrix. This matrix is too big to be uploaded in R, and is saved
as a binary file. To access the data in the file I use mmap and some
api-functions (to get all values in one row, one column, or one particular
value). I'm looking for
2011 Mar 02
0
Selecting a subsample so that it follows a distribution.
Hi All,
I want to select rows at random from a large data.frame while achieving a
particular distribution defined my a given subset of this data.frame. How
can I do this? More details and what I've done so far is given below.
I have gene expression data and gene sets of interest. In order to look at
enrichment of differential expression I'm doing a simple permutation
approach: Selecting
2012 Jun 16
1
Efficient distance calculation on big matrix
Hi All,
I'm working on analyzing a large data set, lets asume that
dim(Data)=c(1000,8700). I want to calculate the canberra distance
between the columns of this matrix, and using a toy example ('test' is
a matrix filled with random numbers 0-1):
> system.time(d<-as.matrix(dist(t(test), method = "canberra", diag = FALSE, upper = FALSE, p = 2)))
user system