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Using R for introductory statistics

By: Material type: TextTextLanguage: English Language Series: Chapman & Hall/CRC the R series (CRC Press)Publication details: Boca Raton CRC Press, Taylor & Francis Group 2014Edition: 2nd edDescription: xvii, 502 25 cmISBN:
  • 1466590734
  • 9781466590731
Subject(s): DDC classification:
  • 519.5 VER
Summary: 1. Getting started -- 2. Univariate data -- 3. Bivariate data -- 4. Multivariate data -- 5. Multivariate graphics -- 6. Populations -- 7. Statistical inference -- 8. Confidence intervals -- 9. Significance tests -- 10. Goodness of fit -- 11. Linear regression -- 12. Analysis of variance -- 13. Extensions of the linear model -- A Programming.
Item type: Lending Books
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 519.5 VER (Browse shelf(Opens below)) Available 112956
Sheduled Reference Sheduled Reference Applied Sciences Library Reference Section Reference Collection 519.5 VER (Browse shelf(Opens below)) Available 112957
Total holds: 0
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519.5 PLE Introductory statistics 519.5 STA Statistics 519.5 STA Statistics 519.5 VER Using R for introductory statistics 519.535 JOH Applied multivariate statistical analysis 519.536 Regression analysis 519.542 EFR Large-scale inference

'Using R for Introductory Statistics' guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

1. Getting started --
2. Univariate data --
3. Bivariate data --
4. Multivariate data --
5. Multivariate graphics --
6. Populations --
7. Statistical inference --
8. Confidence intervals --
9. Significance tests --
10. Goodness of fit --
11. Linear regression --
12. Analysis of variance --
13. Extensions of the linear model --
A Programming.

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