3137 search results for "gis"

Clustering Loss Development Factors

February 15, 2013
By
Clustering Loss Development Factors

  Anytime I get a new hammer, I waste no time in trying to find something to bash with it. Prior to last year, I wouldn’t have known what a cluster was, other than the first half of a slang term used to describe a poor decision-making process. Now I’ve seen it in action a

Read more »

FillIn: a function for filling in missing data in one data frame with info from another

February 15, 2013
By

Sometimes I want to use R to fill in values that are missing in one data frame with values from another. For example, I have data from the World Bank on government deficits. However, there are some country-years with missing data. I gathered data from ...

Read more »

GPS Basemaps in R Using get_map

February 14, 2013
By
GPS Basemaps in R Using get_map

There are many different maps you can use for a background map for your gps or other latitude/longitude data (i.e. any time you're using geom_path, geom_segment, or geom_point.)get_mapHelpfully, there's just one function that will allow you to query Google Maps, OpenStreetMap, Stamen maps, or CloudMade maps: get_map in the ggmap package. You could also use either get_googlemap, get_openstreetmap, get_stamenmap, or get_cloudmademap, but...

Read more »

Version 1.0 of multilevelPSA Available on CRAN

February 14, 2013
By
Version 1.0 of multilevelPSA Available on CRAN

Version 1.0 of multilevelPSA has been released to CRAN. The multilevelPSA package provides functions to estimate and visualize propensity score models with multilevel, or clustered, data. The graphics are an extension of PSAgraphics package by Helmreich and Pruzek. The example below will investigate the differences between private and public school internationally using the Programme of International Student Assessment...

Read more »

Large claims, and ratemaking

February 13, 2013
By
Large claims, and ratemaking

During the course, we have seen that it is natural to assume that not only the individual claims frequency can be explained by some covariates, but individual costs too. Of course, appropriate families should be considered to model the distribution of the cost , given some covariates .Here is the dataset we’ll use, > sinistre=read.table("http://freakonometrics.free.fr/sinistreACT2040.txt", + header=TRUE,sep=";") > sinistres=sinistre...

Read more »

Of Meteorites and Men

February 12, 2013
By
Of Meteorites and Men

Hello Paleoposse! My name is Ryan Brown and I’m one of the newest victims bloggers here at the Paleocave. I made an appearance on Episode 134 where I talked a bit about meteorites and the asteroid mining company, Planetary Resources. I blog over at Glacial Till where, confusingly enough, I do not actually talk about glaciers.

Read more »

Another Experiment with R and Sweave

February 12, 2013
By

The R package PApages is a great start towards addressing the very common problem of internal and external reporting in the money management industry.  Advent's APX, Axys, and Black Diamond and the up and coming extremely well-connected and well-f...

Read more »

"Document Design and Purpose, Not Mechanics"

February 12, 2013
By

If you ever write code for scientific computing (chances are you do if you're here), stop what you're doing and spend 8 minutes reading this open-access paper:Wilson et al. Best Practices for Scientific Computing. arXiv:1210.0530 (2012). (Direct link t...

Read more »

What Analytic Software are People Discussing?

February 12, 2013
By
What Analytic Software are People Discussing?

by Robert A. Muenchen How can we measure the popularity or market share of analytic software? One way is to see what people are discussing. I’m in the process of updating my annual article, The Popularity of Data Analysis Software. Below … Continue reading →

Read more »

R for finance and other upcoming events

February 12, 2013
By
R for finance and other upcoming events

Featured R for Finance Workshop 2013 March 5-6 in London. The target audience are professionals and academics, who wish to learn the basics of the statistical software R and its use in Finance. The workshop is led by Ron Hochreiter, Pat Burns and Michael Sun. Details are on the Unicom website.  Please reference Burns Statistics … Continue reading...

Read more »