首页 > 解决方案 > Extract error matrix from manova analysis in r

问题描述

I used car package to perform anova analysis. Here I got sum of squares for error and factor (=Site) in the form of matrix. Code is here

library(car)
## One-Way MANOVA
anv<-summary(Anova(lm(cbind(Al, Fe, Mg, Ca, Na) ~ Site, data=Pottery)))
anv

Now I want to extract these two matrices from this result for next analysis. My desired output is like this-

 >err_ss

       Al          Fe          Mg          Ca         Na
Al 48.2881429  7.08007143  0.60801429  0.10647143 0.58895714
Fe  7.0800714 10.95084571  0.52705714 -0.15519429 0.06675857
Mg  0.6080143  0.52705714 15.42961143  0.43537714 0.02761571
Ca  0.1064714 -0.15519429  0.43537714  0.05148571 0.01007857
Na  0.5889571  0.06675857  0.02761571  0.01007857 0.19929286



>Site_ss 

        Al          Fe          Mg         Ca         Na
Al  175.610319 -149.295533 -130.809707 -5.8891637 -5.3722648
Fe -149.295533  134.221616  117.745035  4.8217866  5.3259491
Mg -130.809707  117.745035  103.350527  4.2091613  4.7105458
Ca   -5.889164    4.821787    4.209161  0.2047027  0.1547830
Na   -5.372265    5.325949    4.710546  0.1547830  0.2582456

After using the following code I got the result of error matrix but I failed to extract the last one.

str(anv)
err_ss<-anv$"SSPE"
> err_ss
       Al          Fe          Mg          Ca         Na
Al 48.2881429  7.08007143  0.60801429  0.10647143 0.58895714
Fe  7.0800714 10.95084571  0.52705714 -0.15519429 0.06675857
Mg  0.6080143  0.52705714 15.42961143  0.43537714 0.02761571
Ca  0.1064714 -0.15519429  0.43537714  0.05148571 0.01007857
Na  0.5889571  0.06675857  0.02761571  0.01007857 0.19929286

Could anyone please help me to do it? Thanks in advance.

标签: rmatrixmanova

解决方案


我们需要根据结构进行提取。如果我们看str(anv),它是list7 个元素中的一个。“SSPE”、“SSPH”元素位于“multivariate.tests”的“Site”元素下。所以用其中一个提取它们,$然后[[得到两个矩阵

out <- anv$multivariate.tests$Site[c("SSPE", "SSPH")]
out
#$SSPE
#           Al          Fe          Mg          Ca         Na
#Al 48.2881429  7.08007143  0.60801429  0.10647143 0.58895714
#Fe  7.0800714 10.95084571  0.52705714 -0.15519429 0.06675857
#Mg  0.6080143  0.52705714 15.42961143  0.43537714 0.02761571
#Ca  0.1064714 -0.15519429  0.43537714  0.05148571 0.01007857
#Na  0.5889571  0.06675857  0.02761571  0.01007857 0.19929286

#$SSPH
#            Al          Fe          Mg         Ca         Na
#Al  175.610319 -149.295533 -130.809707 -5.8891637 -5.3722648
#Fe -149.295533  134.221616  117.745035  4.8217866  5.3259491
#Mg -130.809707  117.745035  103.350527  4.2091613  4.7105458
#Ca   -5.889164    4.821787    4.209161  0.2047027  0.1547830
#Na   -5.372265    5.325949    4.710546  0.1547830  0.2582456

最好将其保存在 alist中,而不是拥有多个对象。


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