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Hello Lets say as an example I have a dataframe with the following attributes: rownum(1:405), colnum(1:287), year(2000:2009), daily(rownum x colnum x year) and foragePotential (0:1, by 0.01). The data is actually stored in a netcdf file and I'm trying to provide a conceptual version of the data. Ok. I need to calculate a moving mean and a moving variance for each cell on the following

Hello, Simple question that I am stuck on and can't seem to find an answer in the help files currently. I have a list which contains repeated ID's. I would like to have R count the number of ID's. For example: ID=c(1,1,1,1,2,2,2,2,3,3,3,3) as.data.frame(ID) Clearly, there are 3 groups. How would I have R give me the summary: ID 3 Many thanks, Charles [[alternative HTML

Hi, I need to create a plot (type = "h") and then overlay a skewed-normal curve on this distribution, but I'm not finding a procedure to accomplish this. I want to use the plot function here in order to control the bin distributions. I have explored the sn library and found the dsn function. dsn uses known location, scaling and shape parameters associated with a given input

Hi, The following script (which I did not develop) is used to calculate and plot a skewed normal curve. The script currently requires the user to input six parameters, rather than reading these directly from a file. I've been spinning wheels here, trying to figure out how to modify the script to automate it. I have four data sets, each in excess of 300 records that I need to process. My

Hello, I'm trying to calculate non-parametric probabilities using the np package and having some difficulties. OS is Windows, R version 2.11.1 Here is what I've done so far. library(np) veg <- data.frame(factor(Physiogomy), meanAnnualDepthAve, TP) attach(veg) : for clarification dim(veg) returns 1292 3 fy.x <- npcdens(veg$factor.Physiogomy ~ veg$meanAnnualDepthAve, nmulti=1) #

Hello, I tried to post this earlier, but it seems that it did not appear on the list. If you've rec'd 2 m I'm trying to calculate non-parametric probabilities using the np package and having some difficulties. OS is Windows, R version 2.11.1 Here is what I've done so far. library(np) veg <- data.frame(factor(Physiogomy), meanAnnualDepthAve, TP) attach(veg) : for

Hello, I am trying to come up with a routine to calculate a rolling mean and standard deviation for three parameters stored in a NetCDF file. The NetCDF file contains 10 years of daily records for each of the three parameters, and I need the statistics for each of the three parameters. Below I include some code illustrating what I've done so far. Obviously this approach does not get at the