Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition

Linear models in R 451

> anova(my4)

Analysis of Variance Table

Response: y

Df Sum Sq Mean Sq F value Pr(>F)

Group 2 810.13 405.07 6.5054 0.0122 *

Residuals 12 747.20 62.27

---

Signif. codes: 0

*** 0.001 ** 0.01 * 0.05 . 0.1 1

14.5.2.2 Randomized block design ANOVA

Let us revisit Example 13.5 in Chapter 13. In this example, ther e are three

mRNA samples, mRNA1 (ricin 1), mRNA2 (ricin 2), and mRNA3 (control),

and six arrays, each mRNA sa mple being measured once on each array:

Treatments

ricin 1 ricin 2 co ntrol

Array 1 100 95 88

Array 2 90 93 85

Array 3 105 79 87

Array 4 83 85 83

Array 5 78 90 89

Array 6 93 102 75

In R, these data can be organized as follows:

> Group= ...