In December I found myself helping one of our graduate students with a data problem; for one of their thesis chapters they needed a lot of hourly climate data for a handful of stations around Saksatchewan. All of this data was and is available for download from the Government of Canada’s website, but with one catch; you had to...
As previously mentioned, caret has two new feature selection routines based on genetic algorithms (GA) and simulated annealing (SA). The help pages for the two new functions give a detailed account of the options, syntax etc.
The package already has functions to conduct feature selection using simple filters as well as recursive feature elimination (RFE). RFE...
In this post I have reviewed...
We received an email from a user who was interested in displaying results from a multifaceted model in WrightMap. In the WrightMap manual, we show how to use multifaceted results from ConQuest:
fpath <- system.file("extdata", package = "WrightMap")
model4 <- CQmodel(file.path(fpath, "ex4a.mle"), file.path(fpath, "ex4a.shw"))
wrightMap(model4, item.table = "rater", interactions = "rater*topic", step.table = "topic")
(See this tutorial for more details.)
What I like most about the R and Python developer and user communities, is their incredible openness and generosity. One of the finest examples in the past year was the online course “Statistical Learning” taught by Stanford professors Trevor Hastie and Rob Tibshirani. In this MOOC they explain very understandably (even
There are a few exciting announcements I would love to share with R community. We feel very honored to host meetup and class offered by Kaggle #1 ranked Data Scientist, Owen Zhang and book author of Applied predictive modeling, Max Kuhn. Featured R experts meetup Featured talk given by Kaggle world ranked #1 Owen Zhang
I’ve put together an updated version of my partools package, including Snowdoop, an alternative to MapReduce algorithms. You can download it here, version 1.0.1. To review: The idea of Snowdoop is to create your own file chunking, rather than having something like Hadoop do it for you, and then using ordinary R coding to perform … Continue reading...
The purpose of this post is to show how to use
which was introduced
Rcpp. Especially, we focus on
R-tree data structure
for searching objects in space because only one spatial index is
implemented - R-tree Currently in this library.
Boost.Geometry which is part of the Boost C++ Libraries gives us algorithms
for solving geometry problems. In this library, the...