similar to: Simple question about extracting a subset of data

Displaying 5 results from an estimated 5 matches similar to: "Simple question about extracting a subset of data"

2013 Dec 02
1
Days to solstice calculation
Hello, I've come across a problem in developing a set of custom functions to calculate the number of hours of daylight at a given latitude, and the number of days a date precedes or secedes the summer solstice. I discovered an inconsistency concerning leap years between my derived values and those from the US naval databases. It seems as far as I can figure that my inconsistency arises either
2013 Mar 28
1
make R program faster
Hi there are some good tips in "The R Inferno" http://www.burns-stat.com/documents/books/the-r-inferno/ or connect C++ to R with Rcpp http://dirk.eddelbuettel.com/code/rcpp.html or byte code compiler (library(compiler)) or library(data.table) but do you have an idea to fasten standard R source code, with the following Rprof output self.time self.pct total.time
2009 Feb 18
1
using stepAIC with negative binomial regression - error message help
Dear List, I am having problems running stepAIC with a negative binomial regression model.  I am working with data on manta ray abundance, using 20 predictor variables.  Predictors include variables for location (site), time (year, cos and sin of calendar day, length of day, percent lunar illumination), oceanography (sea surface temp mean and std, sea surface height mean and std), weather (cos
2008 Oct 15
0
R-help Digest, Vol 67, Issue 31
V; Sent via BlackBerry from T-Mobile -----Original Message----- From: r-help-request at r-project.org Date: Tue, 30 Sep 2008 12:00:06 To: <r-help at r-project.org> Subject: R-help Digest, Vol 67, Issue 31 Send R-help mailing list submissions to r-help at r-project.org To subscribe or unsubscribe via the World Wide Web, visit https://stat.ethz.ch/mailman/listinfo/r-help or, via email,
2009 Feb 19
0
using stepAIC with negative binomial regression - error message
Ben, I tried playing with the "na.action" but that didn't seem to help.  I didn't know of the na.omit function.  It made it much easier to get rid of all the missing values in the file, and now the regression model is running. I hadn't put interactions in the model yet since it wasn't even running.  Cosday, sinday, and daylength are strongly collinear.  The full model