1. > Inoc=c(7,8,6,3,3,3,3,2,4,7,5,9)<br />> Nerv=factor(rep(rep(1:2,each=3),2),labels=c(quot;
Nervquot;
,quot;
NoNervquot;
))<br />> Simp=factor(rep(1:2,each=6),labels=c(quot;
CSquot;
,quot;
SSquot;
))<br />> Pp=data.frame(Simp,Nerv,Inoc)<br />> Pp<br /> Simp Nerv Inoc<br />1 CS Nerv 7<br />2 CS Nerv 8<br />3 CS Nerv 6<br />4 CS NoNerv 3<br />5 CS NoNerv 3<br />6 CS NoNerv 3<br />7 SS Nerv 3<br />8 SS Nerv 2<br />9 SS Nerv 4<br />10 SS NoNerv 7<br />11 SS NoNerv 5<br />12 SS NoNerv 9<br />> tapply(Inoc,list(Simp,Nerv),mean)<br /> Nerv NoNerv<br />CS 7 3<br />SS 3 7<br /> > tapply(Inoc,list(Nerv,Simp),mean)<br /> CS SS<br />Nerv 7 3<br />NoNerv 3 7<br />310515347980> boxplot(Inoc~Simp+Nerv)<br />> QQ=aov(Inoc~Simp+Nerv)<br />> summary(QQ)<br /> Df Sum Sq Mean Sq F value Pr(>F)<br />Simp 1 2.608e-31 2.608e-31 3.912e-32 1<br />Nerv 1 8.680e-31 8.680e-31 1.302e-31 1<br />Residuals 9 60.000 6.667 <br />Con *<br />> QQ=aov(Inoc~Simp*Nerv)<br />> summary(QQ)<br /> Df Sum Sq Mean Sq F value Pr(>F) <br />Simp 1 2.608e-31 2.608e-31 1.738e-31 1.0000000 <br />Nerv 1 8.680e-31 8.680e-31 5.787e-31 1.0000000 <br />Simp:Nerv 1 48.0 48.0 32 0.0004776 ***<br />Residuals 8 12.0 1.5 <br />---<br />Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 <br />> interaction.plot(Nerv,Simp,Inoc)<br />510540139065<br />15240843280> interaction.plot(Simp,Nerv,Inoc)<br />