Recently I wanted to plot an impulse response function with R and missed the MATLAB style stem plot for doing it. I couldn't find an R function for it with a quick Google search so I made my own. So here is the function and a small example:
#The function stem <- function(x,y,pch=16,linecol=1,clinecol=1,...){ if (missing(y)){ y = x ...
Premise
SSURGO is a digital, high-resolution (1:24,000), soil survey database produced by the USDA-NRCS. It is one of the largest and most complete spatial databases in the world; and is available for nearly the entire USA at no cost. These data are distributed as a combination of geographic and text data, representing soil map units and their...
Revolutions blog recently posted a link to R code by Joshua Reich with self-contained examples of using machine learning techniques in R, including various clustering methods (k-means, nearest neighbor, and kernel), recursive partitioning (CART), principle components analysis, linear discriminant analysis, and support vector machines. This post also links to some slides that go over the basics
United Nations report World Population Prospects: The 2008 Revision (highlights available here) provides data about the historical and forecasted population of the country. In exploring the future and past population trends it is relatively easy to subset the dataset by your selected variable.
> file <- c("UNdata_Population.csv")
> population <- read.csv(file)
> names(population) <- c("code", "country", "year",
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pre{ font-size:xx-small !important ; border: 1px black solid; } This is a short code snippet that is motivated by this thread on r-help yesterday. The gallery contains a search engine textbox (top-right) that can be used to search for content i...
The ant package has been released to CRAN yesterday. As discussed in previous posts in this blog (here and here), the ant R package provides an R-aware version of the ant build tool from the apache project. The package contains an R script that c...
In this post, I show an R script that downloads the University of Colorado, Boulder’s 1993-2009 global mean sea level (msl) change (link) data, converts the ASCII file into a usable R data frame, calculates moving average and msl change trend rate and develops a trend chart that shows msl change and trend rates 
Yesterday's upload of RQuantLib 0.3.0 contained one minor oversight: I had failed to update src/Makefile.win to the new and enlarged set of source files. The proper fix (of using wildcards and implicit rules) was simple, and Uwe Ligges kindly rebuilt R...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
