Over the past couple of months I’ve been playing around with text analysis in R. I’m eventually going to use these methods for a business-type problem, but as a way...continue reading.
R News from another blog for R community
The biggest German railway company, the ‘Deutsche Bahn’, is subject of frequent emotional discussions about being late all the time. A big German newspaper, the Süddeutsche Zeitung built the so-called...continue reading.
The boxplotdbl 1.2.2 and the diaplt 1.2.1 are listed at CRAN. Now the procedure to install, load and use the package is: install.packages(‘boxplotdbl’) library(boxplotdbl) f <- as.factor(rep(1:2, each=5)) boxplotdou(f, rnorm(10),...continue reading.
In this post, I will explain how you can use the R gmm package to estimate a non-linear model, and more specifically a logit model. For my research, I have...continue reading.
As if the R world needed another example of Twitter visualizations, right? Well, here we go anyway.At the beginning of 2013, Pablo Barberá released the first version of his R...continue reading.
libname data ‘c:\projects\sgf14\data’; ods output parameterestimates = _parms; proc nlmixed data = data.full tech = trureg alpha = 0.01; parms a0 = 0 a1 = 0 a2 = 0 a3...continue reading.
Histograms and bar charts are almost always a part of data analysis presentation. If it is made with R ggplot package functions geom_histogram() or geom_bar() then bar chart may look like...continue reading.
While coding ensemble methods in data mining with R, e.g. bagging, we often need to generate many data and models objects with sequential names. Below is a quick example how...continue reading.
After estimating a statistical model, we often need to use the estimated model specification to calculate predicted values from a separate hold-out dataset to evaluate the model performance. In R...continue reading.