search for: minyue

Displaying 5 results from an estimated 5 matches for "minyue".

Did you mean: minyu
2005 Apr 05
5
R can not show plots (in Mac OS X terminal)
Dear all: I am a newbie in Mac. Just installed R and found R did not react on my command plot (I use command line in terminal). It did not give me any error message, either. All it did was just giving out a new command prompt--no reaction to the plot command. I suppose whenever I gives out a command of plot, it will invoke the AquaTerm for a small graph, as I experience in octave. What can I
2006 Oct 27
3
Marginal Effect larger than 1 for a binary variable (summary.Design after lrm)
Dear All: I run a logistic regression (using lrm in the Design package), and after that, I use the command "summary" to get the marginal effects of each variable. But one strange thing happens on my binary dependent variable: The marginal effect of it jumping from 0 to 1 is 1.77. I believe the marginal effect of binary variable x1 has interpretation should be P(Y=1|x1=1,
2007 Jun 26
1
Marginal Effects of continuous variable in lrm model (Design package)
Dear all: When I am trying to get the marginal effects: summary(result7,adv_inc_ratio=mean(m9201 $adv_inc_ratio),adv_price_ratio=mean(m9201$adv_price_ratio), ...(SOME MORE CONTINUOUS AND DISCRETE VARIABLES BUT I AM NOT LISTING)... regW=c (0,mean(m9201$regW),1), regWM=c(0,mean(m9201$regWM),1)) It gave out an error message: Error in summary.Design(result7, adv_inc_ratio = mean(m9201
2012 Mar 30
1
Help with the lumi R package
...ist with FDR adjusted p.values less than 0.01 p.adj <- p.adjust(fit$p.value[,2]) sigGene.adj <- probeList[ p.adj < 0.01] ## without FDR adjustment sigGene <- probeList[ fit$p.value[,2] < 0.01] } -- - Amy W. -- Minyue Wang (Amy) Graduate student, Bioinformatics mwang3@ncsu.edu 919-5210893 [[alternative HTML version deleted]]
2012 Mar 30
0
Help with lumi package R code
Hi all, My name is Amy, I am a masters student in Bioinformatics at North Carolina State University. I am working on a project and I am trying to use the lumi R package for microarray data analysis. I have shown the sample code here and have questions about modifying the sample code for my own data. lumi package in R, example.lumi, the sample data has 8000 features and 4 samples I have