I am testing the Hotelling T^2 test via the manova formula in R. I am testing different same sizes and so have multiple Manova table output. Below is how I generated the manova for the entire sample
attach(iris)
library(Hotelling)
library(corpcor)
s= iris[1:100,1:5]
input= cbind(s$Sepal.Length,s$Sepal.Width, s$Petal.Length, s$Petal.Width )
m= manova(input~ Species, data = s)
summary(m, "Hotelling-Lawley")
I was wondering how I could extract the p value from each table. I tried to following but had no such luck:
res$"Pr(>F)"
res$p.value
summary(man)[8]
but each return NULL
In your example, p
is very small:
summary(m, "Hotelling-Lawley")$stats
Df Hotelling-Lawley approx F num Df den Df Pr(>F)
Species 1 26.33509 625.4583 4 95 2.664857e-67
Residuals 98 NA NA NA NA NA
The p-value can be isolated for a given predictor, e.g. Species
, like this:
summary(m, "Hotelling-Lawley")$stats["Species", "Pr(>F)"]
[1] 2.664857e-67
Docs here.
I know this is just a test case with iris
, but even so: consider that when a p-value is this small, it begins to lose meaning as a valid test statistic. You might instead choose a measure of effect size, or even descriptive statistics, to support your results.