View source: R/dependence_tree.R
summary.cranly_dependence_tree | R Documentation |
cranly_dependence_tree
objectsHard dependence summaries for R packages from a cranly_dependence_tree
object
## S3 method for class 'cranly_dependence_tree' summary(object, ...)
object |
a |
... |
currently not used. |
The summary method for a cranly_dependence_tree
object returns
the number of generations the R package(s) in the object inherit
from (n_generations
), the immediate parents of the R package(s)
(parents
), and a dependence index dependence_index
defined as
-\frac{∑_{i \in C_p; i \ne p} \frac{1}{N_i} g_i}{∑_{i \in C_p; i \ne p} \frac{1}{N_i}}
where C_p is the dependence tree for the package(s) p,
N_i is the total number of packages that depend, link or
import package i, and g_i is the generation that
package i appears in the dependence tree of package(s)
p. The generation takes values on the non-positive integers,
with the package(s) p being placed at generation 0
, the
packages that p links to, depends or imports at generation
-1
and so on.
A dependence index of zero means that the p only has immediate parents. The dependence index weights the dependencies based on how popular these are, in the sense that the index is not penalized if the package depends on popular packages. The greatest the dependence index is the more baggage the package carries, and the maintainers may want to remove any dependencies that are not necessary.
A list with components n_generations
, parents
, and dependence_index
.
build_dependence_tree.cranly_network()
compute_dependence_tree()
cran_db <- clean_CRAN_db() package_network <- build_network(cran_db) ## Two light packages dep_tree <- build_dependence_tree(package_network, package = "brglm") summary(dep_tree) dep_tree <- build_dependence_tree(package_network, package = "gnm") summary(dep_tree) ## A somewhat heavier package (sorry)... dep_tree <- build_dependence_tree(package_network, package = "cranly") summary(dep_tree)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.