print.hierT: Print Object of Class 'hierT'

In crbasel/hierinf: Hierarchical Inference

Description

Print significant clusters or groups of variables of an object of class hierT.

Usage

## S3 method for class 'hierT'
print(x, n.terms = 5L, digits = max(3,
  getOption("digits") - 3), right = FALSE, ...)

Arguments

x	an object of class hierT
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 print.data.frame

Details

The function prints the significant clusters or groups of variables of an object of class hierT. 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).

Value

The returned values is a invisible copy of the object x.

References

Renaux, C. et al. (2018), Hierarchical inference for genome-wide association studies: a view on methodology with software. (arXiv:1805.02988)

See Also

invisible.

Examples

n <- 200
p <- 500
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_var(x = x)
sign.clusters <- test_hierarchy(x = x, y = y, dendr = dendr,
                                family = "gaussian")

# 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 = 4)

crbasel/hierinf documentation built on April 4, 2020, 1:35 p.m.