A post on FlowingData blog demonstrated how to quickly make a heatmap below using R base graphics. This post shows how to achieve a very similar result using ggplot2. Data Import FlowingData used last season’s NBA basketball statistics provided by databasebasketball.com, and the csv-file with the data can be downloaded directly from its website. >
BiclustGUI in R
Ewoud De Troyer, University of Hasselt (CenStat)
Biclustering in a GUI & Growing a GUI together!
We are happy to announce the first release of the BiclustGUI on CRAN (RcmdrPlugin.BiclustGUI)!
This GUI will you enable...
This year’s EARL conference in London was another huge success. In this blogpost we revisit some of the presentations from Day 1. In stream 1 the conference started off with a presentation about recommender systems at the Telegraph by Magda … Continue reading →
In this set of exercises we shall create an empty graph and practice the functions for basic manipulation with vertices and edges, using the package igraph. If you don’t have the package already installed, install it using the following code: install.packages("igraph") and load it into the session using the following code: library("igraph") before proceeding. You
I spoke on 14th September at the EARL (Effective Applications of the R Language) conference in London. This is event is concerned exclusively with the R programming language and it was the first… Continue reading →
The pretty pictures from my empirical software engineering book are now online, along with the 210 data sets and R code (330M). Plotting the number of data sets in each year shows that empirical software engineering has really taken off in the last 10 years (code+data). Around dozen or so confidential data sets are not
Learners use hyperparameters to achieve better performance on particular
datasets. When we use a machine learning package to choose the best hyperparmeters,
the relationship between changing the hyperparameter and performance might not
be obvious. ml...
Annotating sets of genomic intervals with genomic annotations such as chromHMM Genomation is an R package to summarize, annotate and visualize genomic intervals. It contains a collection of tools for visualizing and analyzing genome-wide data sets, i.e....
As we know, a customer usually goes through a path/sequence of different channels/touchpoints before a purchase in e-commerce or conversion in other areas. In Google Analytics we can find some touchpoints more likely to assist to conversion than others that more likely to be last-click touchpoint. As most of the channels are paid for (in
by Joseph Rickert New R packages keep rolling into CRAN at a prodigious rate: 184 in May, 195 in June and July looks like it will continue the trend. I spent some time sorting through them and have picked out a few that that are interesting from a data science point of view. ANLP provides functions for building text...