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...ot accordingly. Can anybody help? I imagine that one uses the plot.axes argument but I'm having trouble figuring out how to do it. The matrix is already a log scale so the ticks and numbers are evenly spaced by 10. Thanks in advance, Andy Example: junk.mat <- matrix(rnorm(12800), 128, 100) xYears <- 1:nrow(junk.mat) yPeriod <- 1:ncol(junk.mat) filled.contour(xYears, yPeriod, junk.mat, color = terrain.colors) #? plot.axes = { axis(2, seq(??))} -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-h...

...ed, e.g., the width of the 25% and the 95% should look the same on the key. They are labeled and ticked right. Is there a way to space them correctly? Thank you all for being an outstanding user community, AB #~~~~~~~~~~~~~~~~~~~~~ #example to post junk.mat <- matrix(rnorm(12800), 128, 100) xYears <- 0:(nrow(junk.mat)-1) yPeriod <- 1:ncol(junk.mat) temp <- seq(10, ncol(junk.mat), 10) myLabels <- 2^(temp/10) cwtquants <- quantile(junk.mat, probs = c(0, 0.25, 0.5, 0.75, 0.95, 1)) quant2plot <- c(cwtquants[1], cwtquants[2], cwtquants[3], cwtquants[4], cwtquants[5], cwtquants[6...

Hello everybody, I am sorry if my questions are too simple or not easily understandable. I’m not a native English speaker and this is my first analysis using this function. I have a problem with a cross correlation function and I would like to understand how I have to perform it in R. I have yearly data of an independent variable (x) from 1982 to 2010, and I also have yearly data of a variable

Hello, I'm a complete newbie to R. Spent this past weekend reading The Art of R Programming, The R Cookbook, the language spec, Wikis and FAQs. I sort-of have my head around R; the dizzying selection of libraries, packages, etc? Not really. I've probably missed or failed to understand something... I have very a simple data set. Two years (ish) of temperature data, collected and