Item type | Location | Call number | Status | Date due |
---|---|---|---|---|
3 Weeks Loan |
Turkeyen Campus
Science & Technology
|
QA276.45.R3 S86 (Browse shelf) | Available | |
3 Weeks Loan |
Turkeyen Campus
Science & Technology
|
QA276.45.R3 S86 (Browse shelf) | Available |
QA276.4 S53 The little SAS book for Enterprise Guide 4.1 / | QA276.4 .V445 Learning data analysis with Data desk / | QA276.45.R3 S86 Using R for statistics / | QA276.45.R3 S86 Using R for statistics / | QA276 .5 C6 1963 Sampling techniques / | QA276 .5 C6 1963 Sampling techniques / |
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.
Purchased Purchased Jul 17, 2017 289955 $12, 400 Your Bookstore Your Way
Purchased Purchased Jul 17, 2017 289956 $12, 400 Your Bookstore Your Way
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