search for: lesions

Hi I have data from 12 subjects. The measurement is log(expression) of a particular gene and can be assumed to be normally distributed. The 12 subjects are divided into the following groups: Infected, Vaccinated, Lesions - 3 measurements Infected, Vaccintaed, No Lesions - 2 measurements Infected, Not Vaccinated, Lesions - 4 measurements Uninfected, Not Vaccinated, No Lesions - 3 measurements Although presence/absence of lesions could be considered to be a phenotype, here I would like to use it as a factor. This e...

I have a multilevel dataframe (df): ID Date Segment Slice Tract Lesion 1 CSPP005 12/4/2007 1 1 LCST 0 2 CSPP005 12/4/2007 1 1 LPC 2 3 CSPP005 12/4/2007 1 1 RPC 3 4 CSPP005 12/4/2007 1 1 RCST 1 5 CSPP005 12/4/2007 1 1 LGM 0 6 CSPP005 12/4/2007 1 1

> From: luk > > I got the following results when I run radomForest with below > commands: > > qair <- read.table("train10.dat", header = T) > oz.rf <- randomForest(LESION ~ ., data = qair, ntree = 220, > importance = TRUE) > print(oz.rf) > > Call: > randomForest.formula(x = LESION ~ ., data = qair, ntree = > 220, importance =

Dear list, I used glm to analyze the effect of treatment, measurement-methods etc. on lesion size in a time course experiments. Could anyone points me out how to extract detailed comparisons of interest? For example: Measurement.T2.M6 vs. Measurement.T2.Baseline, Or even Measurement.T2.M6.Treatment vs. Measurement.T2.M6.placebo (I did not include Treatment as a factor in the query below yet).

...ines(lowess(x,y1),col=2) par(mar=c(0,3,1,1)) barplot(xhist$counts, axes=FALSE, ylim=c(0, top1), space=0) par(mar=c(3,0,1,1)) barplot(y1hist$counts, axes=FALSE, xlim=c(0, top1), space=0, horiz=TRUE) par(mar=c(3,3,1,1)) plot(x, y2, xlim=xrange, ylim=y2range, xlab="Age", ylab="Numer of Lesions") lines(lowess(x,y2),col=2) par(mar=c(0,3,1,1)) barplot(xhist$counts, axes=FALSE, ylim=c(0, top2), space=0) par(mar=c(3,0,1,1)) barplot(y2hist$counts, axes=FALSE, xlim=c(0, top2), space=0, horiz=TRUE) par(def.par) ================================================================ Sincerely...

I have several datasets that come from different studies (fv02 and fv03), they represent different levels (patients and lesions), and they have different patient populations (itt, mitt, mitt3). I wanted to write some code that would pass my three requirements into a function I wrote, produce the output, but not have to require me to also pass a unique plot title or output filename for each function call. The title and fil...

Dear R users & Experts, This is just a curiousity, I was wondering why the dominant eigenvetor and eigenvalue of the following matrix is given as the third. I guess this could complicate automatic selection procedures. 0 0 0 0 0 5 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 Please

...edplantpath/topics/Rmodules/Doc1/05_Nonlinear_regression.html > ## Input the data that include the variables time, plant ID, and severity > time <- c(seq(0,10),seq(0,10),seq(0,10)) > plant <- c(rep(1,11),rep(2,11),rep(3,11)) > > ## Severity represents the number of > ## lesions on the leaf surface, standardized > ## as a proportion of the maximum > severity <- c( + 42,51,59,64,76,93,106,125,149,171,199, + 40,49,58,72,84,103,122,138,162,187,209, + 41,49,57,71,89,112,146,174,218,250,288)/288 > data1 <- data.frame( + cbind( +...

When I mount samba partitions using smbmount on a Linux box under /mnt/linnet_g and run this command: find /mnt/linnet_g/ -type f|xargs wc I get a number of errors which look like this: wc: /mnt/linnet_g/analysis.lesion/b19o61/b61o19.9/b61o18.9-042303.332.cbin: Input/output error What does this mean? The error is repeatable in a I am using samba-3.0.14a-6 on a Debian