search for: phosphates

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

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2011 Mar 15
2
Calculate monthly means
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     ...
2005 Nov 29
1
help combining mtext and strwrap?
Hi all, I've got some image plots on which I'd like to include some gene information (in the margins using mtext). Unfortunately, the description is rather long and will need to be wrapped to fit on several lines. 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:
2006 Sep 11
0
' quote problem in reading lots of files at once
Dear group, i have 114 files (all have 5 columns) and variable number of rows. I want to read all the files and select the first column and 4th column and fill the values into a big matrix. I have a pre-made matrix that would have all rownames (1st column) and coloumn names (4th column from file to be read). mymat <- matrix(data = 1, nrow = length(gomfs), ncol = length(x))
2011 Jul 20
0
Cleveland Dot plots: tick labels and error bars
Dear list, 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
2009 Dec 17
2
some help regarding combining columns from different files
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="\"")