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I have two data matrices that I want to make the correlation between each column from data1 and each column from data 2 and also calculate the p-value Matrices dont have the same size and I tried such a script. > bg <- read.table (file.choose(), header=T, row.names) > bg > Otu00022 Otu00029 Otu00039 Otu00042 Otu00101 Otu00105 Otu00125 Otu00131 Otu00137 Otu00155 Otu00158 Otu00172

Newbie question - mechanical engineer trying to learn R I've had success with plotting time series data and even made a heat map using R Graphs Cookbook by Mittal. I have a new problem - I need to align a number of time series data "columns" to the desired regular exact time stamp vector. The target time vector could be finer or more course than the typical time stamp spacing found.

...428.75 10/12/2011 0:31:31 428.75" library(zoo) library(chron) fmt <- "%m/%d/%Y %H:%M:%S" toChron <- function(d, t) as.chron(paste(d, t), format = fmt) z <- read.zoo(text = Lines, index = 1:2, FUN = toChron) # 5 minute aggregates m5 <- times("00:05:00") ag5 <- aggregate(z, trunc(time(z), m5), mean) # 5 minute spline fit g <- seq(trunc(start(z), m5), end(z), by = m5) na.spline(z, xout = g) # 5 minute linear approx na.approx(z, xout = g) ________________end of what Gabor sent_________________ My csv data looks like this.....when I look at the f...