The objective of this course is to introduce the students to the R language and environment for statistical computing and graphics (a GNU project). In particular, the course proposes effective data handling and storage solutions as well as useful operators for calculations on arrays, in particular matrices. A selected collection of intermediate tools for data analysis, graphical facilities for data analysis and display either on-screen or on hard copy will be illustrated from examples of statistical analyses. Finally, the course will by the way acquaint the students with a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities
These notes refer mainly to the examples and illustrations proposed in the book A Guide to Modern Ec...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
The objective of this course is to introduce the students to the R language and environment for stat...
Mathematical statistics, the two semester calculus-based introduction to probability and statistical...
hese Lecture Notes refer to the examples and illustrations proposed in the book A Guide to Modern Ec...
This textbook on computational statistics presents tools and concepts of univariate and multivariate...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Integrates the theory and applications of statistics using R A Course in Statistics with R has been ...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
R is a language system for statistical computation. It is widely used in statistics, bioinformatics,...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Although the advantages of R are well-known (free, open source, continually updated by experts), it ...
These notes refer mainly to the examples and illustrations proposed in the book A Guide to Modern Ec...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
The objective of this course is to introduce the students to the R language and environment for stat...
Mathematical statistics, the two semester calculus-based introduction to probability and statistical...
hese Lecture Notes refer to the examples and illustrations proposed in the book A Guide to Modern Ec...
This textbook on computational statistics presents tools and concepts of univariate and multivariate...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Integrates the theory and applications of statistics using R A Course in Statistics with R has been ...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
R is a language system for statistical computation. It is widely used in statistics, bioinformatics,...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Although the advantages of R are well-known (free, open source, continually updated by experts), it ...
These notes refer mainly to the examples and illustrations proposed in the book A Guide to Modern Ec...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...