我有一个对象,
> str(summary(A$aov[[2]]))
List of 1
$ :Classes ‘anova’ and 'data.frame': 4 obs. of 5 variables:
..$ Df : num [1:4] 1 1 1 26
..$ Sum Sq : num [1:4] 0.00966 0.01137 0.00458 1.13068
..$ Mean Sq: num [1:4] 0.00966 0.01137 0.00458 0.04349
..$ F value: num [1:4] 0.222 0.261 0.105 NA
..$ Pr(>F) : num [1:4] 0.641 0.614 0.748 NA
- attr(*, "class")= chr [1:2] "summary.aov" "listof"
然而,我似乎无法弄清楚如何访问" Sum Sq"?
我已经尝试了以下内容,
summary(A$aov[[2]])$'Sum Sq'
summary(A$aov[[2]])[2]
summary(A$aov[[2]])[2,]
如果我可以在没有摘要功能的情况下提取Sum Sq值,那么学习会很棒。例如,输入
> A$aov[[2]]
Terms:
Adult_Group Sex Adult_Group:Sex Residuals
Sum of Squares 0.0096577 0.0113658 0.0045836 1.1306777
Deg. of Freedom 1 1 1 26
Residual standard error: 0.2085368
Estimated effects may be unbalanced
> str(A$aov[[2]])
List of 9
$ coefficients : Named num [1:3] -0.00757 -0.01057 -0.00746
..- attr(*, "names")= chr [1:3] "Adult_Group1" "Sex1" "Adult_Group1:Sex1"
$ residuals : Named num [1:29] 0.04596 -0.00541 0.41315 -0.24305 -0.06205 ...
..- attr(*, "names")= chr [1:29] "2" "3" "4" "5" ...
$ effects : Named num [1:29] 0.0983 -0.1066 -0.0677 -0.305 -0.0284 ...
..- attr(*, "names")= chr [1:29] "Adult_Group1" "Sex1" "Adult_Group1:Sex1" "" ...
$ rank : int 3
$ fitted.values: Named num [1:29] 4.16e-17 6.51e-17 4.51e-02 3.49e-02 -1.90e-02 ...
..- attr(*, "names")= chr [1:29] "2" "3" "4" "5" ...
$ assign : int [1:3] 1 2 4
$ qr :List of 5
..$ qr : num [1:29, 1:3] -9.30 -5.97e-17 -3.23e-01 -2.50e-01 1.36e-01 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : chr [1:29] "2" "3" "4" "5" ...
.. .. ..$ : chr [1:3] "Adult_Group1" "Sex1" "Adult_Group1:Sex1"
.. ..- attr(*, "assign")= int [1:3] 1 2 4
..$ qraux: num [1:3] 1 1 1.28
..$ pivot: int [1:3] 1 2 3
..$ tol : num 1e-07
..$ rank : int 3
..- attr(*, "class")= chr "qr"
$ df.residual : int 26
$ terms :Classes 'terms', 'formula' language value ~ Adult_Group + Sex + Region + Adult_Group:Sex + Adult_Group:Region + Sex:Region + Adult_Group:Sex:Region
.. ..- attr(*, "variables")= language list(value, Adult_Group, Sex, Region)
.. ..- attr(*, "factors")= int [1:4, 1:7] 0 1 0 0 0 0 1 0 0 0 ...
.. .. ..- attr(*, "dimnames")=List of 2
.. .. .. ..$ : chr [1:4] "value" "Adult_Group" "Sex" "Region"
.. .. .. ..$ : chr [1:7] "Adult_Group" "Sex" "Region" "Adult_Group:Sex" ...
.. ..- attr(*, "term.labels")= chr [1:7] "Adult_Group" "Sex" "Region" "Adult_Group:Sex" ...
.. ..- attr(*, "order")= int [1:7] 1 1 1 2 2 2 3
.. ..- attr(*, "intercept")= int 1
.. ..- attr(*, "response")= int 1
.. ..- attr(*, ".Environment")=<environment: 0x000000005c411db8>
- attr(*, "class")= chr [1:2] "aov" "lm"
所以我想从另一个层面来看,如何从中提取Sum Sq,
summary(A$aov[[2]]) or A$aov[[2]]
如果str
混淆了我,那将是多么的好。