Tackling the most demanding real-life statistics
Genstat from Adept Scientific
Developed at the Rothamsted Experimental Station, GenStat has been used in the most demanding real-life statistics applications for over 30 years.
But it can show a clean pair of heels to many other stats packages on the market.
The famous Rothamsted Experimental Station (now part of the Institute of Arable Crop Research) is generally credited with inventing many of the fundamental statistical methods still in use today.
Back in the early 1950s, Rothamsted led the field in introducing computing to statistics, and first developed the GenStat general statistical package more than 30 years ago.
So GenStat has an impeccable pedigree.
But that doesn’t mean it’s stuck in an evolutionary dead-end.
It has continued to improve, taking full advantage of all the developments in personal computer technology in the intervening years.
Today’s GenStat for Windows is probably the most capable and reliable desktop statistics software money can buy.
You won’t be surprised to hear that GenStat contains the broadest range of leading-edge statistical tools, in a package you’ll find refreshingly easy to use.
It can handle just about every statistical routine you’re likely to need, including calculation of summary statistics, t-tests, analysis of variance (from simple one-way to complicated factorials with several error terms) and non-parametric tests, generalised linear models, nonlinear models, linear mixed models (REML), statistical distributions, regression analysis, multivariate and cluster analysis, design and analysis of experiments, time series analysis, spatial statistics, analysis of repeated measurements or circular data, survival analysis and much more.
Plus there’s a powerful programming language that you can use to develop and distribute new ideas.
And it doesn’t get left behind on the graphics front either.
GenStat’s high-resolution graphics engine lets you plot data as histograms, box plots, scatter plots, line graphs, trellis plots, contour and 3-D surface plots, all of outstanding quality.
It’s got a wide range of facilities to support the six-sigma approach to quality improvement too.
It can display many different types of control chart.
It can test for Normality, display Pareto charts and calculate capability statistics.
And it provides full statistical backup for wider-ranging investigations.
(with thanks to Thomas Harding of Adept Scientific)