R aov()

1 개요

R aov()

• "Fit An Analysis Of Variance Model → 분산분석 모델 피팅"

( npk.aov <- aov(yield ~ block + N*P*K, npk) )
## Call:
##   aov(formula = yield ~ block + N * P * K, data = npk)
## 
## Terms:
##                    block        N        P        K      N:P      N:K      P:K Residuals
## Sum of Squares  343.2950 189.2817   8.4017  95.2017  21.2817  33.1350   0.4817  185.2867
## Deg. of Freedom        5        1        1        1        1        1        1        12
## 
## Residual standard error: 3.929447
## 1 out of 13 effects not estimable
## Estimated effects are balanced

summary(npk.aov)
##             Df Sum Sq Mean Sq F value  Pr(>F)   
## block        5  343.3   68.66   4.447 0.01594 * 
## N            1  189.3  189.28  12.259 0.00437 **
## P            1    8.4    8.40   0.544 0.47490   
## K            1   95.2   95.20   6.166 0.02880 * 
## N:P          1   21.3   21.28   1.378 0.26317   
## N:K          1   33.1   33.14   2.146 0.16865   
## P:K          1    0.5    0.48   0.031 0.86275   
## Residuals   12  185.3   15.44                   
## ---
## Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1##

2 같이 보기

• R lm()
• R proj()
• R alias()
• R TukeyHSD()
• R replications()
• R summary.aov()
• R model.tables()
• R 일원분산분석

3 참고

• https://www.rdocumentation.org/packages/stats/versions/3.6.1/topics/aov