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我想知道如何Multivariate Tests: Site在以下 MWE 中从 fm1 的输出中提取该部分。

library(car)
fm1 <- summary(Anova(lm(cbind(Al, Fe, Mg, Ca, Na) ~ Site, data=Pottery)))
fm1

Type II MANOVA Tests:

Sum of squares and products for error:
           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

------------------------------------------

Term: Site 

Sum of squares and products for the hypothesis:
            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

Multivariate Tests: Site
                 Df test stat  approx F num Df   den Df     Pr(>F)    
Pillai            3   1.55394   4.29839     15 60.00000 2.4129e-05 ***
Wilks             3   0.01230  13.08854     15 50.09147 1.8404e-12 ***
Hotelling-Lawley  3  35.43875  39.37639     15 50.00000 < 2.22e-16 ***
Roy               3  34.16111 136.64446      5 20.00000 9.4435e-15 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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2 回答 2

3

fm1$multivariate.tests带你到输出的Site部分fm1。

然后，您可以使用cat和的组合capture.output进行漂亮的打印，或者仅capture.output用于字符向量。

> cat(capture.output(fm1$multivariate.tests)[18:26], sep = "\n")
#
# Multivariate Tests: Site
#                  Df test stat  approx F num Df   den Df     Pr(>F)    
# Pillai            3   1.55394   4.29839     15 60.00000 2.4129e-05 ***
# Wilks             3   0.01230  13.08854     15 50.09147 1.8404e-12 ***
# Hotelling-Lawley  3  35.43875  39.37639     15 50.00000 < 2.22e-16 ***
# Roy               3  34.16111 136.64446      5 20.00000 9.4435e-15 ***
# ---
# Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

更新：从结果

unlist(fm1$multivariate.tests, recursive = FALSE)

结果看起来不像数字值那样容易访问。因此，正如您所要求的，这就是将结果处理成矩阵所需的内容。完成此操作并查看 user20650 的答案后，我建议您遵循该建议并通过 ANOVA 表获取值。

co <- capture.output(fm1$multivariate.tests)[20:24]
s <- strsplit(gsub("([*]+$)|[<]", "", co[-1]), "\\s+")
dc <- do.call(rbind, lapply(s, function(x) as.numeric(x[-1])))
row.names(dc) <- sapply(s, "[", 1)
s2 <- strsplit(co[1], " ")[[1]]
s2 <- s2[nzchar(s2)]
s3 <- s2[-c(1, length(s2))]
colnames(dc) <- c(s2[1], paste(s3[c(TRUE, FALSE)], s3[c(FALSE, TRUE)]), s2[10])
dc
#                  Df test stat  approx F num Df   den Df     Pr(>F)
# Pillai            3   1.55394   4.29839     15 60.00000 2.4129e-05
# Wilks             3   0.01230  13.08854     15 50.09147 1.8404e-12
# Hotelling-Lawley  3  35.43875  39.37639     15 50.00000 2.2200e-16
# Roy               3  34.16111 136.64446      5 20.00000 9.4435e-15

如果有人想改进我的第二个代码块，请随意。

于 2014-09-17T19:39:32.907 回答
3

我也找不到如何提取测试表，但作为一种解决方法，您可以通过Anova对所有测试类型运行命令来计算结果。

但是 print 方法print.Anova.mlm不返回结果，所以需要稍微调整一下。

library(car)

# create new print function
outtests <- car:::print.Anova.mlm

# allow the function to return the results and disable print
body(outtests)[[16]] <- quote(invisible(tests))
body(outtests)[[15]] <- NULL

# Now run the regression
mod <- lm(cbind(Al, Fe, Mg, Ca, Na) ~ Site, data=Pottery)

# Run the Anova over all tests  
tab <- lapply(c("Pillai", "Wilks", "Hotelling-Lawley", "Roy"), 
                  function(i)  outtests(Anova(mod, test.statistic=i)))

tab <- do.call(rbind, tab)
row.names(tab) <- c("Pillai", "Wilks", "Hotelling-Lawley", "Roy")
tab  

   # Type II MANOVA Tests: Pillai test statistic
   #               Df test stat approx F num Df den Df    Pr(>F)    
 #Pillai            3     1.554    4.298     15 60.000 2.413e-05 ***
 #Wilks             3     0.012   13.089     15 50.091 1.840e-12 ***
 #Hotelling-Lawley  3    35.439   39.376     15 50.000 < 2.2e-16 ***
 #Roy               3    34.161  136.644      5 20.000 9.444e-15 ***
 #---
 #Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

由于输出表属于类anova，data.frame您可以xtable在其上使用。

xtable:::xtable(tab)
于 2014-09-17T20:52:43.540 回答