Displaying 14 results from an estimated 14 matches for "bcgsc".
2011 Mar 30
0
Package FuncMap Now Available on CRAN
I'm pleased to announce that the FuncMap (v 1.0) package is available
on CRAN.
This is a single function package that makes hive plots of function
calls for a specified package. Hive plots are a powerful concept
developed by Martin Krzywinski at the Genome Sciences Center
(mkweb.bcgsc.ca/linnet/). FuncMap is a simple implementation of
Martin's concept. Function calls in a package are categorized as
source functions, sink functions, or middle-managers, and plotted on 3
axes with several options available (?FuncMap for details of course).
I'm not entirely certain...
2007 Jun 01
1
Affycoretools
I am having problem installing the affycoretools package. When I do it
through biocLite, I get error messages saying the package XML cannot be
installed and that I need a more recent version of libxml2.
When I try to install the tar.gz file, I get the message
/usr/local/R/2.4.0/lib/R/bin/exec/R: error while loading shared libraries:
libg2c.so.0: cannot open shared object
ERROR: installing
2010 Sep 21
3
HOW to create image like this?
http://r.789695.n4.nabble.com/file/n2548152/25jfmyx.jpg
HOW to create image like this?
**tp://i55.tinypic.com/25jfmyx.jpg[/IMG]
I don't known how to create the image above or which function can create
this image?
--
View this message in context: http://r.789695.n4.nabble.com/HOW-to-create-image-like-this-tp2548152p2548152.html
Sent from the R help mailing list archive at Nabble.com.
2011 Mar 30
0
Package FuncMap Now Available on CRAN
I'm pleased to announce that the FuncMap (v 1.0) package is available
on CRAN.
This is a single function package that makes hive plots of function
calls for a specified package. Hive plots are a powerful concept
developed by Martin Krzywinski at the Genome Sciences Center
(mkweb.bcgsc.ca/linnet/). FuncMap is a simple implementation of
Martin's concept. Function calls in a package are categorized as
source functions, sink functions, or middle-managers, and plotted on 3
axes with several options available (?FuncMap for details of course).
I'm not entirely certain...
2009 Aug 24
1
Saving heatmaps as PDFs
Hi,
I'm trying to save heatmaps as PDFs. However, the PDF version of the
heatmaps (Heatmap_CAFvsTNF_run2.pdf) is blurred when compared to its
counterpart, which was saved manually by using the software
"Grab" (Heatmap_CAFvsTNF_run2.tiff).
-----R code--------
sample_output <- "stroma_run2"
filename <-
2011 Aug 25
1
question on silhouette colours
I'm fairly new to the silhouette functionality in the cluster package, so apologize if I'm asking something naive.
If I run the 'agnes(ruspini)' example from the silhouette section of the cluster package vignette, and assign colours to clusters, two clusters have what appear to be incorrect colours in the silhouette plot.
library(cluster)
data(ruspini)
ar<- agnes(ruspini)
2008 Feb 18
2
Huge number
Hi,
I'm trying to calculate p-value to findout definitely expressed genes
compare A to B situation.
I got this data(this is a part of data) from whole organism , and each
number means each expression values (that means, we could think 'a' gene
is 13 in A situation, and it turns 30 in B situation)
To findout probability, I'm going to use Audic - Claverie Method. ( The
significance
2003 Dec 14
2
density plot for very large dataset
I'm new to R and am trying to perform a simple, yet problematic task. I
have two variables for which I would like to measure the correlation and
plot versus each other. However, I have ~30 million data points
measurements of each variable. I can read this into R from file and
produce a plot with plot(x0, x1) but as you would expect, its not pretty
to look at and produces a postscript
2004 Jun 04
1
hist, lines, rug
Hello,
I'm trying to plot a historgram with a density plot superimposed:
hist(x, seq(-1, 1, by = 0.1), prob = T, col = "blue")
lines(density(x, bw = 0.1))
rug(x)
I don't want to add rug(x) but the histogram will not be plotted unless
rug(x) is there. It does not work if the "hist" line alone is present.
Can you help?
Thanks,
Kim
[[alternative HTML version
2009 Jul 02
0
using heatmap.2 without specifying Colv and Rowv
Hi all,
I am a novice user of the heatmap.2 function in the Bioconductor gplots package.
I am trying to create a heatmap diagram from a hierarchical clustering result based on the complete linkage and the pearson correlations as the distance metrics.
After reading the help page for heatmap.2, it seems that it calls the distfun and hclustfun with the default settings. Is that the same as doing
2008 Sep 11
1
subscript out of bounds
I'm working on Human Exon Array 1.0 ST. I'm getting normalized data
fine but I'm running into problems with QC. QCReport gives me the
following error:
> load(file= "huex10stv2cdf.rda")
> exon.data at cdfName <- "huex10stv2cdf"
> QCReport(exon.data, file = "QCReport.pdf")
Error in as.vector(ans[[i]][, i.probes]) : subscript out of
2009 Aug 07
0
Bar plots with stacked columns marked with askterisks
Hi,
I'm trying to plot bar graphs with stacked columns marked with
askterisks for certain columns, which follow certain criteria.
I've gotten the stacked bar plots with Data set A (please refer to
code below). However, I haven't figured how to put asterisks on
columns based on some extra information (such as "used/unused") as in
Data set B i.e. asterisks at the
2010 Aug 16
1
R-2.11.1 Download: missing libRblas.so library
Hello,
I've been trying to use R-2.11.1 but I get the following error when trying to run R on linux:
"error while loading shared libraries: libRblas.so: cannot open shared object file: No such file or directory"
How can I solve this problem?
Best,
Katy
2005 Jun 10
0
Top N correlations from 'cor' for very large datasets being run many times
I am doing an analysis that requires me to calculate correlations for a matrix of 15,000 rows x 50 columns. For each row I want to calculate the correlation to all other rows and then for each row, find the n (say 10) most correlated rows. If read in the 15,000 x 50 data from file and pass it to 'cor', this function quite appropriately (and very quickly) calculates all possible row by