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Using R for statistics /
R is a popular and growing open source statistical analysis and graphics environment as well as a programming language and platform. You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their ap...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress,
2014.
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| Colección: | Expert's voice in R.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | R is a popular and growing open source statistical analysis and graphics environment as well as a programming language and platform. You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics. What you'll learn: How to apply statistical concepts using R and some R programming; How to work with data files, prepare and manipulate data, and combine and restructure datasets; How to summarize continuous and categorical variables; What is a probability distribution; How to create and customize plots; How to do hypothesis testing; How to build and use regression and linear models. -- |
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| Descripción Física: | 1 online resource (xvi, 250 pages) : illustrations |
| ISBN: | 9781484201398 1484201396 |