The geoR package
An Introduction to geoR Click for an illustrative session with some of the capabilities of the package. This document is also available as a vignette. The vignettes files are currently not distributed with the package but are available here: geoRintro.pdf, the document in pdf format geoRintro.Rnw, the source vignette file Download/install the package geoR under development: WARNING: unstable versi
Rtips. Revival 2014!
Rtips. Revival 2014! Paul E. Johnson <pauljohn @ ku.edu> The original Rtips started in 1999. It became difficult to update because of limitations in the software with which it was created. Now I know more about R, and have decided to wade in again. In January, 2012, I took the FaqManager HTML output and converted it to LaTeX with the excellent open source program pandoc, and from there I’ve been e
Popular Decision Tree: Classification and Regression Trees (C&RT)
Make AI and ML real Scale and democratize data science across your enterprise with Spotfire® Statistica Data science is a team sport. Data scientists, citizen data scientists, data engineers, business users, and developers need flexible and extensible tools that promote collaboration, automation, and reuse of analytic workflows. But algorithms are only one piece of the advanced analytic puzzle. To
HyperStat Online: An Introductory Statistics Textbook and Discussion of whether most published research is false
RVLS Home | Glossary | Free Statistical Analysis Tools | Instructional Demos | Exercises and Problems | Statistics Help | Privacy policy Contents Introduction to Statistics Describing Univariate Data Describing Bivariate Data Introduction to Probability (elementary) Normal Distribution Sampling Distributions Point Estimation Confidence Intervals The Logic of Hypothesis Testing Testing Hypotheses w
Quick-R: Home Page
About Quick-R R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS , SPSS , Stata ) who would like to transition to R. My goal is to help you quickly access this language in your work. I assume that you
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