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Hello all, Hoping that there is a fairly simple solution to my query... I'm trying to overlay a line plot of some data onto a barplot of different data. The y-axes are different for each set of data but the x-axes are the same (1:12, corresponding with 12 months of observations). The problem I'm having is that the centre of the bars and the points on line don't match up, which is

...d the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >     [[alternative HTML version deleted]] ------------------------------ Message: 32 Date: Sun, 30 Aug 2009 18:55:15 +0000 From: Andrew Aldersley <ajaldersley@hotmail.co.uk> Subject: [R] Complexity parameter in rpart To: <r-help@r-project.org> Message-ID: <BAY139-W1969BD3C3FD4843137E263E4F30@phx.gbl> Content-Type: text/plain Hi all, I'm currently using the 'rpart' function to run some regression analysis and I am at the poin...

Hi all, I'm currently using the 'rpart' function to run some regression analysis and I am at the point where I wish to prune my overfitted trees. Having read the documentation I understand that to do this requires the use of the complexity parameter. My question is how to go about choosing the correct complexity parameter for my tree? In some places

Hi all, I sent a request round last week asking for help with using a "for" loop to read and separate a large dataset. The response I got worked great, but now I have another problem with using my loop. Basically I have a number of different files containing columned data. There are 132 datasets, named such that I have something in the form... precip_colxxx.txt ...where xxx is a

Dear all, I have in my possession a netcdf from which I want to extract some data files. I have used the "ncdf" package to read the netcdf file and used the "get.var.ncdf" function to identify the variable i wish to use. The data is in the form of a time-series of geographical data points that relate to climatology variables. As such I have a large data frame,

Dear all, I'm having trouble interpolating a number of gridded datasets that I have. I'm quite new to R so any help/advice that can be offered would be much appreciated! Firstly I'll describe my dataset. The data is a grid of the planet at 1 degree spatial resolution, with each grid cell containing a value describing a particular variable (e.g. population density) for coordinate

Dear list, My query follows on from a question I posted a few days ago. I have the following 2 sets of data: wetMeans[1] 9.904762[2] 6.344828[3] 6.346154[4] 6.855769[5] 9.074324[6] 9.953988[7] 13.482966[8] 14.546053[9] 10.841584[10] 9.752033[11] 6.739336[12] 8.955056burnMeans[1] 0.06214286[2] 0.05396552[3] 0.04096154[4] 0.05302885[5] 0.05831081[6] 0.07392638[7] 0.29969940[8] 0.25596217[9]