extractor-functions | R Documentation |
Find packages, authors, maintainers, license, versions etc by authors, packages or names matching a specific string
## S3 method for class 'cranly_network' package_by(x, author = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' package_with(x, name = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' author_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' author_with(x, name = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' suggested_by(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' suggesting(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' imported_by(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' importing(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' dependency_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' depending_on(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' linked_by(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' linking_to(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' enhanced_by(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' enhancing(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' maintainer_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' maintained_by(x, author = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' email_of(x, author = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' email_with(x, name = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' description_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' title_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' license_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' version_of(x, package = NULL, exact = FALSE, flat = TRUE) ## S3 method for class 'cranly_network' release_date_of(x, package = NULL, exact = FALSE, flat = TRUE) packages_by(x, author, exact, flat) packages_with(x, name = NULL, exact = FALSE, flat = TRUE) authors_with(x, name = NULL, exact = FALSE, flat = TRUE) authors_of(x, package = NULL, exact = FALSE, flat = TRUE) emails_of(x, author = NULL, exact = FALSE, flat = TRUE) emails_with(x, name = NULL, exact = FALSE, flat = TRUE) descriptions_of(x, package = NULL, exact = FALSE, flat = TRUE) titles_of(x, package = NULL, exact = FALSE, flat = TRUE) licenses_of(x, package = NULL, exact = FALSE, flat = TRUE) release_dates_of(x, package = NULL, exact = FALSE, flat = TRUE) versions_of(x, package = NULL, exact = FALSE, flat = TRUE)
x |
a |
author |
a vector of character strings with the author names to be matched. If |
exact |
logical. Should we use exact matching? Default is |
flat |
if |
name |
a vector of character strings with the names to be matched. If |
package |
a vector of character strings with the package names to be matched. If |
The extractor functions all try to figure out what y
is in the statement
y
is (the) extractor-function
a package
/author
.
For example, for
"y
is the package by "Kurt Hornik"
" we do package_by(x, "Kurt Hornik")
"y
is the author of a package with a name matching "MASS"
" we do author_of(x, "MASS")
"y
is the package enhanced by the "prediction"
package we do enhanced_by(x, "prediction", exact = TRUE)
"y
is the package linking to "Rcpp"
we do linking_to(x, "Rcpp", exact = TRUE)
If flat = TRUE
then the result of the extraction function is a
data.frame
, which is the subset of x$nodes
matching author
,
name
or package
(according to the value of exact
). If flat = FALSE
then the results is a vector.
When flat = TRUE
any NA
s are removed before the result is
returned.
build_network.cranly_db()
subset.cranly_network()
plot.cranly_network()
# Using a package directives network cran_db <- clean_CRAN_db() package_network <- build_network(cran_db) ## Find all packages containing glm in their name package_with(package_network, name = "glm") ## Find all authors of packages containing brglm in their name author_of(package_network, package = "rglm", exact = FALSE) ## Find all packages with brglm in their name package_with(package_network, name = "rglm", exact = FALSE) ## Find all authors of the package brglm2 author_of(package_network, package = "brglm2", exact = TRUE) ## Find all authors with Ioannis in their name author_with(package_network, name = "Ioannis", exact = FALSE) ## Find all packages suggested by Rcpp suggested_by(package_network, package = "Rcpp", exact = TRUE) ## Find all packages imported by Rcpp imported_by(package_network, package = "Rcpp", exact = TRUE) ## Find all packages enhacing brglm enhancing(package_network, package = "brglm", exact = TRUE) ## Find all packages linking to RcppArmadillo linking_to(package_network, package = "RcppArmadillo", exact = TRUE) ## Find the release date of RcppArmadillo release_date_of(package_network, package = "RcppArmadillo", exact = TRUE) ## Find the release data of all packages with "brglm" in their name release_date_of(package_network, package = "brglm", exact = FALSE) ## More information about packages with "brglm" in their name release_date_of(package_network, package = "brglm", exact = FALSE, flat = FALSE)[c("package", "version")] ## Using an author collaboration network author_network <- build_network(cran_db, perspective = "author") ## Find all packages containing glm in their name package_with(author_network, name = "glm") ## Find all authors of packages containing brglm in their name author_of(author_network, package = "rglm", exact = FALSE) ## Find all packages with brglm in their name package_with(author_network, name = "rglm", exact = FALSE) ## Find all authors of the package brglm2 author_of(author_network, package = "brglm2", exact = TRUE) ## Find all authors with Ioannis in their name author_with(author_network, name = "Ioannis", exact = FALSE)
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