Abstract | Keywords | Export | Availability | Bookmark

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"This first edition of Statistics Using R: An Integrative Approach capitalizes on the versatility and power of the R software package to create a course of study that links good statistical and data science practice to the analysis of real data. It also benefits from the many years of the authors' experience teaching statistics to undergraduate students at a liberal arts university and to undergraduate and graduate students at a large research university from a variety of disciplines including education, psychology, health, and policy analysis. Because R, a free, open-source software, provides a command line approach to the analysis of data, and, in so doing, this textbook teaches readers the skills necessary to program statistical analyses"--

R (Computer program language) --- Mathematical statistics --- Statistics --- #SBIB:303H510 --- #SBIB:303H4 --- #SBIB:303H61 --- GNU-S (Computer program language) --- Domain-specific programming languages --- Data processing --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Informatica in de sociale wetenschappen --- Wiskundige methoden en technieken --- Programming --- R (Computer program language). --- Data processing.