search for: phosphate

I am trying to calculate monthly means by year of phosphates and nitrates from a multi year data set. Can anybody help me out with the most effective way to do this? My data looks like this: Collection_Date                   Test.Name              Value 2000-01-24 17:00:00            Phosphate               0.108 2000-01-24 17:00:00            Nitrate    ...

...ines. From what I know about mtext, it's really only meant for single-line labels, not paragraphs. Here's some sample code of the idea I'm trying to accomplish: notes=c("Repressible alkaline phosphatase, a glycoprotein localized to the vacuole; regulated by levels of inorganic phosphate and by a system consisting of Pho4p, Pho9p, Pho80p, Pho81p and Pho85p; dephosphorylates phosphotyrosyl peptides") par(mar=c(10,3,10,3)) image(as.matrix(c(1,2,3,4,5))) mtext(strwrap(notes, width=60), line=5, side=3) ..as you can see, the long text plots over itself and doesn't wrap....

.... But when a2 has ' - then starting from there to the EOF all values are cluttered. Example: > a2[49] [1] "mRNA guanylyltransferase activity" > a2[50] [1] "polynucleotide 5-phosphatase activity\t1\t1\t0.0160650535501781\t0.0160650535501781\t0.0664390950962566\nribulose-phosphate 3-epimerase activity\t1\t1\t0.0160650535501781\t0.0160650535501781\t0.0664390950962566\n How can I escape the ' quote character when I read each file. So that I do not have the problem of clutter and my matrix is read well. Thank you.

..., I've been learning how to make a 2x2 paneled dotplot in lattice without any previous experience using lattice. my code thusfar is: nut<-read.table("/Users/colinwahl/Desktop/nutsimp_noerror.csv", T, sep= ",") attach(nut) nut1<-data.frame(Nitrate, Total_Nitrogen, Phosphate, Total_Phosphorus) nut1<-as.matrix(nut1) rownames(nut1)<-group ylimlist=list(c(0,10), c(0,10), c(0,0.25), c(0,0.25)) dotplot(nut1, groups=FALSE, horizontal=FALSE, scales = list(relation='free' ), ylim=ylimlist, ylab="Nutrient Concentration (mg/L)") I have two issues cur...

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")