Is there an easy way of converting an aov.summary into a matrix in which the rows are the factor names and the columns are Df, Sum Sq, Mean Sq, F value and Pr.
For example, convert Df Sum Sq Mean Sq F value Pr(>F) block 5 343.29 68.66 4.4467 0.015939 * N 1 189.28 189.28 12.2587 0.004372 ** P 1 8.40 8.40 0.5441 0.474904 K 1 95.20 95.20 6.1657 0.028795 * N:P 1 21.28 21.28 1.3783 0.263165 N:K 1 33.14 33.14 2.1460 0.168648 P:K 1 0.48 0.48 0.0312 0.862752 Residuals 12 185.29 15.44 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 To Factor Df Sum Sq Mean Sq F value Pr block 5 343.29 68.66 4.4467 0.015939 N 1 189.28 189.28 12.2587 0.004372 P 1 8.40 8.40 0.5441 0.474904 K 1 95.20 95.20 6.1657 0.028795 N:P 1 21.28 21.28 1.3783 0.263165 N:K 1 33.14 33.14 2.1460 0.168648 P:K 1 0.48 0.48 0.0312 0.862752 Residuals 12 185.29 15.44 NA NA Thanks, - Moises ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html