Description Usage Arguments Details Value See Also Examples
Print significant clusters or groups of variables of an object of class
hierBase
.
1 2 3 4 5 6 7 8 |
x |
an object of class |
n.terms |
maximum number of column names or variables names to be printed per cluster or group of variables. |
digits |
number of significant digits to be used. |
right |
logical value indicating whether the values should or should not be right-aligned. |
... |
additional arguments to |
The function prints the significant clusters or groups of variables
of an object of class hierBase
. By default, it prints at most the first
n.terms
column or variable names per significant cluster and the
number of omitted column names are printed in square brackets (if any).
The returned values is a invisible copy of the object x
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | n <- 200
p <- 100
library(MASS)
set.seed(3)
x <- mvrnorm(n, mu = rep(0, p), Sigma = diag(p))
colnames(x) <- paste0("Var", 1:p)
beta <- rep(0, p)
beta[c(5, 20, 46)] <- 1
y <- x %*% beta + rnorm(n)
dendr <- cluster_vars(x = x)
sign.clusters <- advance_hierarchy(x = x, y = y, dendr = dendr,
test = "F")
# The argument n.terms is useful if there is one or multiple
# significant groups containing many variables.
print(sign.clusters, n.terms = 4)
print(sign.clusters, right = TRUE)
print(sign.clusters, digits = 6)
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