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is.na Function in R:Programming tutorial on the usage of is.na() and its combination with other R functions. List of R Functions:Important commands of the R programming language, including examples and tutorials. Recent Posts The following list shows the most recent tutorials on this website....
Examples of the use of a working prototype, SOL, are given. SOL incorporates generalized linear modelling facilities in a Pascal -like framework extended to include functional language facilities.doi:10.1007/978-3-642-50096-1_7M. HarmanS. Danicic...
Stata 19 is now available Experience the latest advancements, including many new statistical features such as machine learning via H2O, CATE, and HDFE; more powerful tables and graphs; and improvements to the interface. Publications News 40–2 out now ...
2. When other people preregister, that can be useful because then we can see discrepancies between the original plan and what actually got reported. Two examples arehereandhere–in both those cases, discrepancies between the preregistration and the final paper gave us doubts about the published ...
I set out to present statistical methods in the way that practitioners learn-that is with simple language and working code examples.Statistics is important to machine learning, and I believe that if it is taught at the right level for practitioners, that it can be a fascinating, fun, ...
This talk will demonstrate some of the exploratory statistical and graphical methods that can help answer questions such as the above, using examples based on data from real pharmaceutical trials. Jun 8, 2006 Frank Harrell Courses Regression Modeling Strategies Course ...
This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is...
Furthermore, some of the cited examples from the biomedical literature suggest that researchers have already decided that partially overlapping subgroups are valid targets for cluster analysis. Hence, the best pragmatic approach would be to investigate when cluster analysis can or cannot help to ...
This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language. The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a ...