Displaying 20 results from an estimated 130 matches similar to: "Fwd: How to calculate different groups of varialbes importance level?"
2007 Apr 20
2
limmaGUI
Dear all,
I have a question about limmaGUI that is usually run in R environment.
My problem is loading data into the programm. I have 6 gpr files that
apparently are not compatible with limma. Everytime I'm trying to load
the data (including a RNA targets file, an error appears:Error reading
files. that I'm not sure,but seems to have something to do with the
format of my files
2009 Feb 19
2
table with 3 varialbes
I have the initial matrice:
> *data.frame(Subject=rep(100:101, each=4), Quarter=rep(paste("Q",1:4,
sep=""),2), Boolean = rep(c("Y","N"),4))*
Subject Quarter Boolean
1 100 Q1 Y
2 100 Q2 N
3 100 Q3 Y
4 100 Q4 N
5 101 Q1 Y
6 101 Q2 N
7 101 Q3 Y
8 101
2007 Jul 23
0
M-value and fold change
Hi everyone,
I have a question about M value and how it corresponds to gene
expression fold change.I
was wondering if for example M-value of -1.27 which means 0.41 in fold
change, doesn it
mean 0.41 of the control (in my experiment wild type? Better say does
it mean this gene
is down-regulated by 41% or 59% (1-41)? I was abit confused about it.
I appreciate if
anyone can help me to figure
2000 Feb 02
1
Placing a varialbe within a text statement.
I have a simple question.
On a plot, I would like to place text containing a calculated value. What is the format?
For example.
I would like the following text to appear on a plot.
The average temperature is 23.1 degrees.
I'm guessing the command is
text( x, y, "The average temperature is " %variable name% "degrees")
Thanks,
Matt Pocernich
-------------- next part
2006 Sep 15
2
Histogram of data with categorical varialbe
Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?...
Nom : non disponible
Url : https://stat.ethz.ch/pipermail/r-help/attachments/20060915/8b4027b0/attachment.pl
2007 May 30
5
determining a parent function name
Hi, All,
I'm writing a wrapper for stop that produces a popup window using tcltk.
Something like:
error <- function(...) {
msg <- paste(..., sep = "")
if(!length(msg)) msg <- ""
if(require(tcltk, quiet = TRUE)) {
tt <- tktoplevel()
tkwm.title(tt, "Error")
tkmsg <- tktext(tt, bg = "white")
tkinsert(tkmsg,
2008 Jun 03
1
some problems I have met in LARS
Hi:
I loaded the LARS package,and input: data(diabetes),load the embedded
data
then I found the varialbes are in this form:
x.age,x.bmi......(10 of them),X2.age,X2.bmi....(64 of them)
When I input x,R gave me all 10 varialbes,and input X2,it gave me 64
variables,but if I input x.age,it returned nothing,I wonder how to affiliate
those subvariable such as x.age,x.bmi to x,since I
2007 May 17
4
using lm() with variable formula
New to R; please excuse me if this is a dumb question. I tried to RTFM;
didn't help.
I want to do a series of regressions over the columns in a data.frame,
systematically varying the response variable and the the terms; and not
necessarily including all the non-response columns. In my case, the
columns are time series. I don't know if that makes a difference; it
does mean I have to call
2006 Sep 06
1
Covariance/Correlation matrix for repeated measures data frame
All,
I have a repeated measures data frame and was wondering if the
covariance matrix can be
calculated via some created indexing or built-in R function.
Specifically, say there are 3 variables, where potassium concentration
is measured 6 times on each patient.
Patient number (discrete)
Time (1 to 6, discrete)
Potassium (continuous variable)
I want the covariance/correlation matrix for the
2006 Aug 12
0
Form Validation with non-model fields
I have a couple of questions. I''m learning Ruby at the same time as
Rails, so please forgive me if this is trivial.
But when I get non-model related params back from the form, is there a
quick and easy way to extract those into local varialbes? i.e. if
params has keys fname and lname, to have them extracted into local
variables called fname and lname without resorting to:
fname =
2007 Sep 11
0
how to run a mixed design ANOVA with repeated measures
Hi, I would like to run an ANOVA with repeated measures with both a
between subjects variable and within subjects (repeated measures)
variables. I know how to do this when I have equal numbers of
subjects in both groups (i.e., balanced design). That has been very
well documented by Baron, for example, see:
http://cran.r-project.org/doc/contrib/Baron-rpsych.pdf
On page 34 of this document,
2007 Jun 25
0
[1069] trunk/wxruby2/swig/typemap.i: Fix big memory leak in methods taking wxString as a parameter
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<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2005 Apr 22
2
Hoaglin Outlier Method
I am a new user of R so please bear with me. I have reviewed some R books,
FAQs and such but the volume of material is great. I am in the process of
porting my current SAS and SVS Script code to Lotus Approach, R and
WordPerfect.
My question is, can you help me determine the best R method to implement
the Hoaglin Outlier Method? It is used in the Appendix A and B of the fo
llowing link.
2009 Sep 01
2
numerical summaries across variables.
Hi Every one,
I have a dataframe "class" with "name", "sex", "age", "height", "Weight".
if i caluclate summary statistics with the below code
numSummary(class[,c("Height", "Weight")], groups=class$Name,
statistics=c("mean", "sd", "quantiles"), quantiles=c(0,
.25,.5,.75,1))
iam getting
2004 Oct 14
0
random forest problem when calculating variable importance
Hi -
When using the randomForest function for regression, I get different
results for mean-squared error of the predictions depending on whether
or not I specify to calculate variable importance. There is an
example below. I looked briefly at the source code, but couldn't find
anything that would indicate why calculating variable importance would
(or should) change predictions.
I'm
2008 Oct 02
1
specifying x-axis scale on random forest variable importance plot
i am new to R and using the random forest package. is there a way to specify
the x-axis scale range for the variable importance plot? many thanks.
-alison
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2011 Jan 24
0
Relative Importance Package question
I have installed the latest relaimpo library ( form their website with the 8 functions)
When running pvmd as a type in c=type("pmvd") in calc.relimp
I get the error message ...could not find function "pmvdcalc"
(this is in R version 2.12.1)
Can anyone help?
Paul
Prof P Rheeder
School of Health Systems and Public Health
Faculty of Health Sciences
University of Pretoria
Room
2009 Mar 27
1
Random Forest Variable Importance
Hello,
I have an object of Random Forest : iris.rf (importance = TRUE).
What is the difference between "iris.rf$importance" and "importance(iris.rf)"?
Thank you in advance,
Best,
Li GUO
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2005 Jan 27
0
Relative importance of inputs in nnet
Dear R people,
I would like to know if it is possible to compute the relative
importance of the inputs to a neurol network computed with the function
nnet in the nnet package.
Thank you so much!!!
Victor Robles
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2009 Feb 06
0
party package conditional variable importance
Hello,
I'm trying to use the party package function varimp() to get
conditional variable importance measures, as I'm aware that some of my
variables are correlated. However I keep getting error messages (such
as the example below). I get similar errors with three separate
datasets that I'm using. At a guess it might be something to do with
the very large number of variables (e.g.