Displaying 20 results from an estimated 70 matches similar to: "Searching for packages for normalizing Metabolomic data"
2011 Mar 16
1
Error in X11
Dear all,
I've installed R-2.12.2 on a server with Suse 10 linux OS. When I try to create images I got this error:
> png(filename="hola.png")
Error in X11(paste("png::", filename, sep = ""), width, height, pointsize, :
unable to start device PNG
In addition: Warning message:
In png(filename = "hola.png") : no png support in this version
2004 Jun 08
2
(no subject)
Hi!!
I am a new user of R (just trying to analysis microarrays with some packages from the bioconductor project).
I would like to import a text-delimeted file containing 20 columns and 22200 rows.
I have tried
read.table;
scan(file="")
<matrix(scan("file", n=20*200,20,200, byrow=TRUE));
Doesn't matter what I try I got the next message:
error in file (file
2010 Feb 04
0
GLMM and false convergence (8) warnings
Hi,
I am doing a binomial GLMM with a random intercept using the formula below,
but I always get the same warning message.
> m01 <- lmer(pres~ HT + DN + dtree + DNm + cmnhi + cmxes + cplan + craan +
lfphal0100 + lfov0100 + lfop0100 + (1|plot), family=binomial, data=vphal,
verbose=TRUE)
0: 6309.9448: 0.459924 -5.20747 -0.378722 0.558779 -0.200922
-0.0488451 -0.397844 0.367916 -2.09820
2011 Nov 08
1
Rename a directory in R
Hi,
I want to be able to rename a folder using R, similar to file.rename. I want to paste " - done" onto the folder name. The reason for this is we run a loop on a large number of folders on a server and it would be nice for people to be able to log in and instantly see if their data has been processed so they can remove it.
I have searched the help list but have not found anything and
2012 May 04
1
colours in a pdf
Hi,
I'm plotting PDFs and have a problem. If I have more than 8 sources of data the colours are repeated. These plots are used to remove poor data from the sets so it would be helpful if I could expand the colour range. Is there any way to do this?
The plots are coloured by defining a vector colsVec<-1:(length(mzXMLfiles))
And defined in the loop for (file in 1:length(mzXMLfiles))
as
2005 Dec 24
0
acts_as_taggable - adding users and normalizing tags
Hey all,
I''m wondering how people are using acts_as_taggable. Two things I''d
like to do that aren''t supported out of the box are tag normalization
and user attribution. I can''t imagine I''m the first to think about
doing this.
>From a schema perspective these things both seem simple, just put the
normalized tag in the tags table, and have a join
2007 Nov 07
0
normalizing data for low kurtosis
To run my data in another program my data cannot exceed a kurtosis of 0.8. I'm
wondering if there is a package that can determine if the kurtosis for a trait
is equal to or greater than 0.8 and then determine the appropriate normalizing
methods to reduce the kurtosis to less than 0.8. I would also need to have
record of what normalizing procedures were done for each trait
Katherine Willmore
2008 Feb 11
0
PDF with computationally expensive normalizing constant
Hi
I am writing some functionality for a multivariate PDF.
One problem is that evaluating the normalizing constant (NC) is
massively computationally intensive [one recent example
took 4 hours and bigger examples would take much much longer]
and it would be good allow for this in the
design of the package somehow.
For example, the likelihood function doesn't need the NC
but (eg) the
2010 May 15
2
Normalizing plot tick values
Hi,
I have a plot whole tick values along the axis have a certain range 0 - x .
I need to normalize this range without changing my data files. for e.g.,
if my plot has tick values at 10,20,30,40,50... i have to make this 2,4,6,
etc. but without changing the plot data... I am hoping I can add something
to the plot command that goes like tick values divided by a quantity.
Any help is appreciated.
2012 Apr 05
0
Normalizing linear regression slope to intercept
I am wondering if it possible to normalize the slope of a linear regression to its intercept to allow for valid between-group comparisons.
Here is the scenario:
I need to compare the slopes of biomass increase among NAFO divisions of Northwest Atlantic cod. However, the initial division biomass is a confounding factor that may influence the slope of the regression model. How can I normalize the
2014 Apr 21
2
Normalizing WAV files
Hey all, I've been googling trying to find a tool that I can use to
normalize a directory full of WAV files. I found a reference to
normalize in the atrpms repo but it wants to clobber several of the base
rpms.
Does anyone know of a tool in CentOS 6 that can normalize a directory
full of WAV files that I can install without hosing up my system?
--
_
?v?
/(_)\
^ ^ Mark LaPierre
2007 Apr 28
1
normalizing affy data caused an error
Hi all,
I tried to do normalization of affymetrix data with bioconductor on a
Linux server. When I read in the cel files all seemed ok. But the next
step caused an error. With Win XP all works fine. Did anyone experience
similar problems?
Thanks,
Thomas
> PI <- ReadAffy()
> PI
AffyBatch object
size of arrays=712x712 features (14 kb)
cdf=ATH1-121501 (??? affyids)
number of
2011 Jan 27
1
normalizing prizes to a specific year - how to?
Dear list
I have a large data frame with house prices. Prices have been converted
to price per m2, to be able to compare. Prices are spread over almost 10
years, each price is tagged with the year it relates to.
I would like to 'normalize' all the prices to, eg. 2010 prices.
The data frame looks like this
> head(dafP)
Y P
1 2004 11199.60
2 2005 15310.10
3 2005 19491.50
4
2011 Sep 26
1
normalizing a negative binomial distribution and/or incorporating variance structures in a GAMM
Hello everyone,
Apologies in advance, as this is partially a stats question and partially an R question. I have been using a GAM to model the activity level of bats going into and coming out from a forested edge. I had eight microphones set up in a line transect at each of eight sites, and I am hoping to construct a model for each of 7 species.
My count data has a reverse J-shaped skew and
2002 Oct 14
3
normalizing data sets
Hi,
Can someone tell me how to normalize a data set so that the mean of the set is 0 and the variance is 1. As I understand, when you
calculate the principle components of a data set through correlation as
< princomp( dataset, cor=T ) >
then a similar calculation is performed. I would like to know how I can perform such a calulation directly. Any help would be
greatly appreciated.
Many
2010 Sep 15
0
Biostatistician position, Austria
Dear all,
My company located in Innsbruck, Austria, has an opening for a
biostatistician. If you have any interest, feel free to contact me or Dr
Markus Speiser (markus.speiser*at*biocrates.com).
Best regards,
David
##################
Biostatistician (m/f)
Job Description
BIOCRATES Life Sciences AG is a leading metabolomics company using a
mass-spectrometry based technology
2010 May 28
6
Normalizing called numbers
Hi,
I'm working on my dial plan and I'd like to parse all dialed numbers
to convert them to the format I want.
For example if someone dials 0112345678 or 0033112345678 I would like
to convert it to +33112345678 and then match the number to my exten =>
+33XXXXXXXX statements.
Is this possible with asterisk? I tried different ways (using _., s,
...) but I can't seem to get that
2007 Nov 15
2
Normalizing data
Hello,
I have a data set of about 300.000 measurements made by an STM which should
apporximately fix a normal (Gaussian) distribution.
I have imported the data in R and used plot(density()) to get a nice plot of
the distribution which in fact looks like a real Gaussian.
However, the integral over the surface is not equal to one (I know since
some of the plots extend to numbers greater then 1). Is
2009 Jun 16
0
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2007 Nov 09
3
Normalizing grouped data in a data frame
Hi
I am a newbie to R but have tried a number of ways in R to do this and
can't find a good solution. (I could do it out of R in perl or awk but
would like to know how to do this in R).
I have a large data frame 49 variables and 7000 observations however for
simplicity I can express it in the following data frame
Base, Image, LVEF, ES_Time
A, 1, 4.32, 0.89
A, 2, 4.98, 0.67
A, 3, 3.7, 0.5