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I am looking to extract the p-value generated from an anova in R. Here is what I am running: test <- aov(asq[,9] ~ asq[,187]) summary(test) Yields: Df Sum Sq Mean Sq F value Pr(>F) asq[, 187] 1 3.02 3.01951 12.333 0.0004599 *** Residuals 1335 326.85 0.24483 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 12 observations deleted due to missingness When I look a the structure, this is what I see. I usually can work through lists to get what I need, but I am having a hard time with this one. A Google searched also seemed to reveal much simpler structures than I am getting. NOTE: ASQ is my data frame. str(test) List of 13 $ coefficients : Named num [1:2] 0.2862 0.0973 ..- attr(*, "names")= chr [1:2] "(Intercept)" "asq[, 187]" $ residuals : Named num [1:1337] 0.519 0.519 -0.481 -0.481 -0.481 ... ..- attr(*, "names")= chr [1:1337] "1" "2" "3" "4" ... $ effects : Named num [1:1337] -16.19 -1.738 -0.505 -0.505 -0.505 ... ..- attr(*, "names")= chr [1:1337] "(Intercept)" "asq[, 187]" "" "" ... $ rank : int 2 $ fitted.values: Named num [1:1337] 0.481 0.481 0.481 0.481 0.481 ... ..- attr(*, "names")= chr [1:1337] "1" "2" "3" "4" ... $ assign : int [1:2] 0 1 $ qr :List of 5 ..$ qr : num [1:1337, 1:2] -36.565 0.0273 0.0273 0.0273 0.0273 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:1337] "1" "2" "3" "4" ... .. .. ..$ : chr [1:2] "(Intercept)" "asq[, 187]" .. ..- attr(*, "assign")= int [1:2] 0 1 ..$ qraux: num [1:2] 1.03 1.02 ..$ pivot: int [1:2] 1 2 ..$ tol : num 1e-07 ..$ rank : int 2 ..- attr(*, "class")= chr "qr" $ df.residual : int 1335 $ na.action :Class 'omit' Named int [1:12] 26 257 352 458 508 624 820 874 1046 1082 ... .. ..- attr(*, "names")= chr [1:12] "26" "257" "352" "458" ... $ xlevels :

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