Similar to rPython, the rPithon package (http://rpithon.r-forge.r-project.org) allows users to execute Python code from R and exchange the data between Python and R. However, the underlying mechanisms between these two...continue reading.
Modeling the time series of count outcome is of interest in the operational risk while forecasting the frequency of losses. Below is an example showing how to estimate a simple...continue reading.
The tree-based Cubist model can be easily used to develop an ensemble classifier with a scheme called “committees”. The concept of “committees” is similar to the one of “boosting” by...continue reading.
Cubist is a tree-based model with a OLS regression attached to each terminal node and is somewhat similar to mob() function in the Party package (https://statcompute.wordpress.com/2014/10/26/model-segmentation-with-recursive-partitioning). Below is a demonstrate...continue reading.
Dissecting human brain development at high resolution using RNA-seq from lcolladotorcontinue reading.
We are pleased to announce our proposal ‘Subsetted and parallel computations in matrixStats’ for Google Summer of Code. The project is aimed for a student with experience in R and...continue reading.
In this post I will extend a previous analysis creating a borough-level heat map of NYC motor vehicle collisions. The data is from NYC Open Data. In particular, I will go from borough-level...continue reading.
Reading Time: < 1 minutes Fairly often, a coworker who is strong in Excel, but weak in writing code will come to me for help in special details about customers...continue reading.
Reading Time: < 1 minute Fairly often, a coworker who is strong in Excel, but weak in writing code will come to me for help in special details about customers...continue reading.
An universally used generative unsupervised clustering is Gaussains Mixture Model (GMM) which is also known as “EM Clustering”. The idea of GMM is very simple: for a given dataset, each...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
