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...,3,2,1,1,2,3,4) how do I get the desired answer by finding the occurence of the pattern and returning the starting indices: 6, 13, 23 Suggestions very much appreciated! Kind regards, Matt Redding, Ph.D. Principal Scientist Geochemist/Soil Chemist Queensland Primary Industries & Fisheries DEEDI PO Box 102, Toowoomba, 4350, Qld ph: 0746 881372 fax: 0746 881192 ********************************DISCLAIMER**************...{{dropped:15}}

I'm wondering if anyone is aware of a way to take what is visible in the R graphics window, pixelate it, and express that pixellation in a numeric matrix. For example, I am using the following command to create a black (present) and white (absent) spatial simulation of grass tussock distribution. > symbols(x=runif(100,-.5,1.5),y=runif(100,-.5,1.5),circles=runif(100)/30,

Dear All Does any one know if the following survival analysis exists, and if so, is it available in R? I am trying to parametrically model survival where some events happen at time = 0. I am particularly interested in generating the 95% confidence interval around the survival function over its full range (including time=0). For example, the data below are for time (Time) to component failure

Hi, I wish to NEATLY store, and later display one table per file (similar to capabilities of write.table()). BUT BY NEATLY I MEAN: 1. Column Headings right aligned with data values. 2. Decimal points line-up per column. 3. Data values padded trailing zeros per column (if not integers). 4. "Tricky" formats such as certain characters/dates possibly chosen by the user? bla bla bla I do

Dear R-experts, I have 28 data points that I would like to fit with a non linear broken-stick -- with three fitted parameters. When I view trace -- and use the final values as lines on the graph of data -- it looks pretty good. Q1. Why am I getting singular convergeance? Q2. Can you suggest another approach that may prove more satisfying? I have read previous examples on nls and this sort of