graph_remove_empty_non_connecting: cleans up all nace codes from the hierarchy that contain a NA...
In mark-me/graydon.package: Graydon Toolkit
View source: R/economic_activity_hierachy.R
graph_remove_empty_non_connecting R Documentation
cleans up all nace codes from the hierarchy that contain a NA value and are non-connective
Description
cleans up all nace codes from the hierarchy that contain a NA value and are non-connective
Usage
graph_remove_empty_non_connecting(graph_tree, name_attribute)
Arguments
graph_tree
The graph containing the hierarchical tree
name_attribute
name of the attribute you want to evaluate to be non-zero
Value
A graph containing only the codes with other values than NA and are non-connecting
Examples
graph_remove_empty_non_connecting(graph_SBI, name_attribute = "qty_companies")
mark-me/graydon.package documentation built on Nov. 14, 2023, 5:31 p.m.
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View source: R/economic_activity_hierachy.R
| graph_remove_empty_non_connecting | R Documentation |
cleans up all nace codes from the hierarchy that contain a NA value and are non-connective
Description
cleans up all nace codes from the hierarchy that contain a NA value and are non-connective
Usage
graph_remove_empty_non_connecting(graph_tree, name_attribute)
Arguments
graph_tree |
The graph containing the hierarchical tree |
name_attribute |
name of the attribute you want to evaluate to be non-zero |
Value
A graph containing only the codes with other values than NA and are non-connecting
Examples
graph_remove_empty_non_connecting(graph_SBI, name_attribute = "qty_companies")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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