[R] format of summary.lm for 2-way ANOVA

[Patrick Drechsler]

 Hi,

I am performing a two-way ANOVA (2 factors with 4 and 5 levels,
respectively). If I'm interpreting the output of summary correctly,
then the interaction between both factors is significant:

,----
| ## Two-way ANOVA with possible interaction:
| > model1 <- aov(log(y) ~ xForce*xVel, data=mydataset)
|
| > summary(model1)
|              Df  Sum Sq Mean Sq F value    Pr(>F)    
| xForce        3  16.640   5.547 19.0191 1.708e-11 ***
| xVel          4  96.391  24.098 82.6312 < 2.2e-16 ***
| xForce:xVel  12  10.037   0.836  2.8681 0.0008528 ***
| Residuals   371 108.194   0.292                      
| ---
| Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 
| 3 observations deleted due to missingness
`----

To see the interactions in detail I call summary.lm:

,----
| > summary.lm(model1)
| 
| Call:
| aov(formula = log(y) ~ xForce * xVel, data = mydataset)
| 
| Residuals:
|      Min       1Q   Median       3Q      Max 
| -2.04830 -0.32420 -0.04653  0.34928  1.46755 
| 
| Coefficients:
|                  Estimate Std. Error t value Pr(>|t|)    
| (Intercept)     -1.663406   0.027335 -60.853  < 2e-16 ***
| xForce.L         0.408977   0.054726   7.473 5.68e-13 ***
| xForce.Q         0.101240   0.054670   1.852   0.0648 .  
| xForce.C        -0.068068   0.054613  -1.246   0.2134    
| xVel.L           1.079042   0.061859  17.444  < 2e-16 ***
| xVel.Q           0.339802   0.061439   5.531 6.03e-08 ***
| xVel.C           0.015422   0.060751   0.254   0.7997    
| xVel^4          -0.044399   0.060430  -0.735   0.4630    
| xForce.L:xVel.L  0.622060   0.123966   5.018 8.12e-07 ***
| xForce.Q:xVel.L  0.034298   0.123718   0.277   0.7818    
| xForce.C:xVel.L -0.114776   0.123470  -0.930   0.3532    
| xForce.L:xVel.Q  0.309293   0.123057   2.513   0.0124 *  
| xForce.Q:xVel.Q  0.054798   0.122879   0.446   0.6559    
| xForce.C:xVel.Q -0.144219   0.122700  -1.175   0.2406    
| xForce.L:xVel.C  0.110588   0.121565   0.910   0.3636    
| xForce.Q:xVel.C -0.001929   0.121502  -0.016   0.9873    
| xForce.C:xVel.C -0.039477   0.121438  -0.325   0.7453    
| xForce.L:xVel^4  0.090491   0.120870   0.749   0.4545    
| xForce.Q:xVel^4 -0.002762   0.120861  -0.023   0.9818    
| xForce.C:xVel^4 -0.028836   0.120852  -0.239   0.8115    
| ---
| Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 
| 
| Residual standard error: 0.54 on 371 degrees of freedom
|   (3 observations deleted due to missingness)
| Multiple R-Squared: 0.5322,	Adjusted R-squared: 0.5082 
| F-statistic: 22.21 on 19 and 371 DF,  p-value: < 2.2e-16 
`----

I am wondering what the logic is behind the formatting of
rownames. What do the strings "L", "Q", "C" and "^4" mean?

Apologies in case I missed something obvious in the relevant
documentations/archives.

Thanks for any pointers,

Patrick

PS: Here are some details about the dataset:

,----
| > summary(mydataset)
|        y            xForce     xVel   
|  Min.   :0.03662   0.01:97   10  :79  
|  1st Qu.:0.10376   0.1 :98   50  :80  
|  Median :0.16314   1   :98   100 :80  
|  Mean   :0.26592   2   :98   500 :80  
|  3rd Qu.:0.28077   NA's: 3   5000:72  
|  Max.   :2.39490             NA's: 3  
|  NA's   :3.00000
| 
| > str(mydataset)
| 'data.frame':	394 obs. of  3 variables:
|  $ y     : num  0.167 0.158 0.152 0.158 0.131 ...
|  $ xForce: Ord.factor w/ 4 levels "0.01"<"0.1"<"1"<..: 1 2 3 4 1 2 3 4 1 2 ...
|  $ xVel  : Ord.factor w/ 5 levels "10"<"50"<"100"<..: 3 3 3 3 1 1 1 1 2 2 ...
`----

I am using

platform       i486-pc-linux-gnu           
arch           i486                        
os             linux-gnu                   
system         i486, linux-gnu             
status                                     
major          2                           
minor          4.1                         
year           2006                        
month          12                          
day            18                          
svn rev        40228                       
language       R                           
version.string R version 2.4.1 (2006-12-18)