|
|
ÇöÀçÀ§Ä¡ : Ȩ > µµ¼¸ñ·Ï > Àüüµµ¼¸ñ·Ï > Åë°è |
Data Analysis and Graphics Using R 2/e |
|
|
ÁöÀºÀÌ |
: Maindonald |
¹ßÇàÀÏ |
: 2007 ³â |
ISBN |
: 9780521861168 |
Á¤Çà°¡ |
: 47,000 ¿ø |
ÆäÀÌÁö |
: 502 ÆäÀÌÁö |
ÆÇÇà¼ö |
: 2ÆÇ |
ÃâÆÇ»ç |
: Cambridge |
|
|
|
|
ÀúÀÚ ¹× ¿ªÀÚ ¼Ò°³ |
|
|
|
Â÷·Ê |
Preface
1. A brief introduction to R
2. Styles of data analysis
3. Statistical models
4. An introduction to formal inference
5. Regression with a single predictor
6. Multiple linear regression
7. Exploiting the linear model framework
8. Generalized linear models and survival analysis
9. Time series models
10. Multi-level models and repeated measures
11. Tree-based classification and regression
12. Multivariate data exploration and discrimination
13. Regression on principal component or discriminant scores
14. The R system-additional topics
|
|