Displaying 14 results from an estimated 14 matches for "cofactor".
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cofactors
1999 Jun 18
1
Stepwise model selection question
...he y-axis, and position along the genome on the x. (It relies on mixture
regression models, since the parental contribution is unknown between
markers).
As a third analysis, we could use a refinement called composite
interval mapping. It includes a few of the 40 mapping markers as
additional cofactors in mixture regression formulae as one scans. The idea
is to have cofactors to handle genetic elements with large effects while
scanning elsewhere in the genome. Which markers to include as cofactors is
selected prior to the scanning phase, by stepwise multiple-regression model
selection (occasio...
2017 Aug 04
1
legend and values do not match in ggplot
...r helps
highly appreciated.
Greg
library(ggplot2)
p <- ggplot(a,aes(x=NO_BMI_FI_beta ,y=FI_beta ,color= Super.Pathway))+
theme_bw() +theme(panel.border=element_blank()) +
geom_point(size=3)
p2<-p+scale_color_manual(name="Super.Pathway",
labels=c("Amino Acid", "Cofactors and Vitamins", "Carbohydrate", "Energy",
"Lipid", "Peptide", "Nucleotide"),
values=c("Amino Acid"="red",
"Cofactors and Vitamins"="purple",
"Carbohydrate"="darkgreen",
"Ene...
2004 Oct 12
5
covariate selection?
Hello,
I am hoping someone can help me with the following multivariate issue:
I have a model consisting of about 50 covariates. I would like to
reduce this to about 5 covariate for the reduced model by combining
cofactors that are strongly correlated. Is there a package or function
that would help me with this in R? I appreciate any suggestions.
Thanks,
Ian
2003 Aug 15
2
Oja median
I discovered recently that the phrase "Oja median" produces no hits in
Jonathan Baron's very valuable R search engine. I found this surprising
since I've long regarded this idea as one of the more interesting notions
in the multivariate robustness literature. To begin to remedy this oversight
I wrote a bivariate version and then decided that writing a general p-variate
version
2011 Apr 20
1
Pattern match
...anyone tell me
how to I can use R to retrieve string pattern from text file. for example
my file contain following information
SpeciesCommon=(Human);SpeciesScientific=(Homo
sapiens);ReactiveCentres=(N,C,C,C,+
H,O,C,C,C,C,O,H);BondInvolved=(C-H);EzCatDBID=(S00343);BondFormed=(O-H,O-H);Bond+
255B);Cofactors=(Cu(II),CU,501,A,Cu(II),CU,502,A);CatalyticSwissProt=(P25006);Sp+
eciesScientific=(Achromobacter
cycloclastes);SpeciesCommon=(Bacteria);ReactiveCe+
and I want to extract ?SpeciesScientific = (?)? information from this file.
Problem is in 3rd line where SpeciesScientific word is divided with +....
2009 Apr 28
2
Dropping 'empty' panels from lattice
I have 8 cofactors possibly affecting one and only one variable.
I make conditional histograms:
<-pdf(file="tst3.pdf",paper="special",width=36,height=36)
<-histogram(~Oversized|dat$c1*dat$c2*dat$c5*dat$c6*dat$c7*dat$c8*dat$c9*dat$c10,nint=21,layout=c(32,8),data=dat,type="count")...
2006 Aug 28
3
matrix "Adjoint" function
Hi there,
I'm new to R and despite searching today, I can't
find a function which will compute the adjoint of
a matrix A. Does this adjoint function exist in R?
Thanks in advance!
2012 Sep 29
1
Problems with stepAIC
Dear help community,
I'm a R-beginner and use it for my master thesis.
I've got a mixed model and want to analyse it with lme. There are a lot
Cofactors that coult be relevant. To extract the important ones I want to do
the stepAIC, but always get an error warning.
Structure of my data:
data.frame': 72 obs. of 54 variables:
$ Block : Factor w/ 3 levels "A","B","C": 1 1 1 1 1 1
1 1 1 1 ......
2011 Mar 23
0
p and wald values intra-groups geeglm: geepack
...d
statistic' Table
Model: gaussian, link: identity Response: sqrt
Terms added sequentially (first to last)
Df X2 P(>|Chi|)
Tra 1 9.00e+00 0.0025 **
Mes 3 -1.37e+14 1.0000
The convectional ANOVA analysis with repeated measures give *p* values of
both between groups (cofactors: *Tra* and *Mes*) and intra groups (levels of
*Lugar*). When i try to fit the following model for know the wald and p
values of the *Lugar*'s levels I get strangers p and wald values with
summary function (A) and it’s impossible to run the anova function (B).
modelo<-geeglm(sqrt~Tra+ Luga...
2004 May 28
5
vector normal to a plane
Hi All,
(I have a degree in math, but I am too embarassed to ask my colleagues,
so here goes:)
I would like to get a vector normal (orthogonal) to a plane formed by
two other vectors. In matlab I do this:
v1 = [.4, .6, .8]; v2 = [.9, .7, .2]; nn = cross(v1,v2) (gives ~[-.48,
.65, -.24]
if I do R> cross(v1, v2), I get .94. Huh?
Thanks for all your help, again.
W
2009 Feb 17
3
Survival-Analysis: How to get numerical values from survfit (and not just a plot)?
Hi!
I came across R just a few days ago since I was looking for a toolbox
for cox-regression.
I?ve read
"Cox Proportional-Hazards Regression for Survival Data
Appendix to An R and S-PLUS Companion to Applied Regression" from John Fox.
As described therein plotting survival-functions works well
(plot(survfit(model))). But I?d like to do some manipulation with the
survival-functions
2008 Jun 27
1
finding the suitable distribution
Dear R-users,
Attach with is my data..what i want to do is finding a suitable distribution for my data..I want to run a few test like the poisson and the exponential distribution. Please help me on how to find the p-value for poisson as well as the exponential distribution without knowing the parameter. Is it possible?? Thanks in advance.
love,
Anisah
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2014 Jan 28
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hi Stepan,
Sorry for the delay. It's great that you are working on MergeFunctions
as well and I agree, we should definitely try to combine our efforts to
improve MergeFunctions.
Just to give you some context, the pass (with the similar function
merging patch) is already being used in a production setting. From my
point of view, it would be better if we focus on improving its
capability
2014 Jan 30
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
....01 1028 0 0.01 1028
closure.ll 5 28114 0 0.01 28088 0 0.01 28088
cnf.ll 222 772426 10 0.06 768498 2 0.07 767823
coarsen.ll 3 107852 0 0.02 107823 0 0.01 107823
code.ll 1 10232 0 0.01 10202 0 0.01 10202
CoderMixer2.ll 14 83683 4 0.01 81571 4 0.02 81571
CoderMixer2MT.ll 50 274089 5 0.02 266795 * * *
cofactor.ll 9 103705 0 0.02 103675 0 0.02 103675
color.ll 1 2069 0 0.01 2040 0 0.01 2040
cols.ll 13 64095 0 0.02 64065 0 0.02 64065
CommandLineParser.ll 11 112348 0 0.02 112321 0 0.02 112321
command.ll 5 18344 0 0.01 18327 0 0.01 18327
comment.ll 14 39393 1 0.01 37610 0 0.01 38745
common.ll 10 113372 0 0.02...