search for: sample4

....3785717 2.34508664 1.1043552 -0.1883830 0.6503095 Sample2 -2.0446131 1.72783245 -0.40965941 -0.21713655 -0.2386781 -0.1944390 -0.25181541 0.8882743 0.8404783 0.2531209 Sample3 1.7575174 0.03851425 -0.87537424 1.82811160 0.8342636 -0.8155942 -0.90893068 -0.5529098 -1.6586626 0.1761717 Sample4 0.2731749 0.24045167 -0.39913821 -0.48525909 0.1448994 -2.0173360 -0.01073639 -0.3219478 -1.1536431 -0.2521545 Sample5 -0.2014241 -1.04646151 0.28101160 0.74348390 0.1738312 -0.8431262 -0.08842512 1.2909658 1.2013136 0.6706926 Sample6 0.1743534 -1.70657357 -0.09170187 -0.55605031 -0.29...

...how do I get the x axis to label them properly and have it categorized as two. I am not sure what to have to the left side of the formula. This is the example code: library(lattice) library(latticeExtra) sample1<-rnorm(100,10,2) sample2<-rnorm(100,50,3) sample3<-rnorm(100,20,2) sample4<-rnorm(100,40,1) mu1<-mean(sample1) ci.upper1<-mu1+2*2 ci.lower1<-mu1-2*2 mu2<-mean(sample2) ci.upper2<-mu2+2*3 ci.lower2<-mu2-2*3 mu3<-mean(sample3) ci.upper3<-mu3+2*2 ci.lower3<-mu3-2*2 mu4<-mean(sample4) ci.upper4<-mu4+2*1 ci.lower4<-mu4-2*1 ca...

...11 3180.844 2407.1921 2818.8222 10046.113 1983.5246 2092.9254 8568.467 3518.9508 1182.826 6572.264 0.000 3647.8307 Loc12 3112.680 1314.6927 1063.8092 10253.957 1670.4862 1558.8962 8654.392 631.5406 3397.490 7497.861 3647.831 0.0000 > distancematrix sample1 sample2 sample3 sample4 sample5 sample6 sample7 sample8 sample9 sample10 sample11 sample12 sample1 0.0000 0.0229 0.0258 0.0394 0.0295 0.0337 0.0269 0.0345 0.0314 0.0418 0.0577 0.0853 sample2 0.0229 0.0000 0.0219 0.0373 0.0337 0.0352 0.0320 0.0310 0.0275 0.0508 0.0533 0.0739 sample3 0.0258...

Dear group, I have a matrix like the following: Name Sample1 sample2 sample3 sample4 ..... sample(n) nm1 10.5 13.5 30 31 nm2 8 11 34 29 nm3 9 10.3 27.8 35 nm(j) I want to be able to calculate correlation between all pairs of names. For example (nm1,nm2), (nm1,nm...

...pute.knn) > str(khan.imputed) num [1:2308, 1:63] 0.773 -2.438 -0.483 -2.721 -1.217 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:2308] "2" "3" "4" "5" ... ..$ : chr [1:63] "sample1" "sample2" "sample3" "sample4" ... - attr(*, "rng.seed")= num 3.62e+08 - attr(*, "rng.state")= int [1:626] 403 624 1638542565 108172386 -1884566405 -1 838154368 -250773631 919185230 -1001918601 -1002779316 ... impute v1.14.0: > library(impute) > example(impute.knn) > str(khan.imputed) List o...

...SE) + segments(start.x.co.ordinate, start.y.co.ordinate, + end.x.co.ordinate, end.y.co.ordinate, + col = c("red", "darkgreen")[line.colour.value]) + title(main = "10th April 1991", + xlab = "Pandora", + ylab = "Luna") + }) >> quartz.save("sample4.png","png") The values in the following data table for the column "line.colour.value" are just 1s and 2s. Ideally I would have numbers of 1 through to 10 and each one would plot a different coloured (using a hex value) segment. start.x.co.ordinate start.y.co.ordinate...

...GH data I have downloaded from the Progenetix database (http://www.progenetix.de/~pgscripts/progenetix/Aboutprogenetix.html). The data is in tab delimited format, each column is a single sample each row is a chromosome band some example dummy data is shown below. band sample1 sample2 sample3 sample4 1p36_33 1 0 0 1 1p36_32 -1 0 -1 0 1p36_31 0 1 1 1 1p36_22 0 -1 -1 -1 etc.... where 0 = no change, 1 = gain, -1 = loss I have read this file into R using: > ProgenetixCRC.all.noXY <- read.table("/hom...

...t;),paste("gene",1:4,sep="")) > rownames(example.df) <- paste("sample", 1:8, sep="") > example.df age treatment gene1 gene2 gene3 gene4 sample1 young drug 392 878 908 740 sample2 young control 167 263 711 392 sample3 young drug 155 252 242 547 sample4 young control 333 348 295 300 sample5 old drug 392 878 908 740 sample6 old control 167 263 711 392 sample7 old drug 155 252 242 547 sample8 old control 333 348 295 300 Now I would like to define a function that will crop the p-values from an Anova (so that I can use the function with a '...

...differente kind of material, example: Sample 1, 2,3,5 and 6 has material 1 .... So I want to know how can I do a Venn Diagram with the data below .... ps ( it was generated by a csv, where every line is sep with (";")) Can someone helps me ? thanks csv file : Sample.1;Sample.2;Sample3;Sample4;Sample6 Sample.1;Sample.3;Sample.6 ..... > hs2 V1 V2 V3 V4 V5 V6 V7 1 Sample.1 Sample.2 Sample.3 Sample.4 Sample.6 2 Sample.1 Sample.3 Sample.6 3 Sample.1 Sample.2 Sample.3 Sample.4 Sample.5...

...o compare different samples with the formula … <o:p></o:p> <o:p> </o:p> Here some example data: <o:p></o:p> <o:p> </o:p> <o:p> </o:p> sample1<o:p></o:p> sample2<o:p></o:p> sample3<o:p></o:p> sample4<o:p></o:p> a<o:p></o:p> 2.05<o:p></o:p> 2.65<o:p></o:p> 1.28<o:p></o:p> 1.85<o:p></o:p> b<o:p></o:p> 0<o:p></o:p> 6.69<o:p></o:p> 6.48<o:p></o:p> 4.86<o:p...

I have to perform ANOVA's on many different data organized in a dataframe. I can run an ANOVA for each sample, but I've got hundreds of data and I would like to avoid manually carrying out each test. in addition, I would like to have the results organized in a simple way, for example in a table, wich could be easy to export. thank you for assistance simone