`R/data_frame.R`

, `R/data_tree.R`

, `R/dendrogram.R`

, and 9 more
`tbl_graph.Rd`

The `tbl_graph`

class is a thin wrapper around an `igraph`

object that
provides methods for manipulating the graph using the tidy API. As it is just
a subclass of `igraph`

every igraph method will work as expected. A
`grouped_tbl_graph`

is the equivalent of a `grouped_df`

where either the
nodes or the edges has been grouped. The `grouped_tbl_graph`

is not
constructed directly but by using the `group_by()`

verb. After creation of a
`tbl_graph`

the nodes are activated by default. The context can be changed
using the `activate()`

verb and affects all subsequent operations. Changing
context automatically drops any grouping. The current active context can
always be extracted with `as_tibble()`

, which drops the graph structure and
just returns a `tbl_df`

or a `grouped_df`

depending on the state of the
`tbl_graph`

. The returned context can be overriden by using the `active`

argument in `as_tibble()`

.

# S3 method for data.frame as_tbl_graph(x, directed = TRUE, ...) # S3 method for Node as_tbl_graph(x, directed = TRUE, mode = "out", ...) # S3 method for dendrogram as_tbl_graph(x, directed = TRUE, mode = "out", ...) # S3 method for graphNEL as_tbl_graph(x, ...) # S3 method for graphAM as_tbl_graph(x, ...) # S3 method for graphBAM as_tbl_graph(x, ...) # S3 method for hclust as_tbl_graph(x, directed = TRUE, mode = "out", ...) # S3 method for igraph as_tbl_graph(x, ...) # S3 method for list as_tbl_graph(x, directed = TRUE, ...) # S3 method for matrix as_tbl_graph(x, directed = TRUE, ...) # S3 method for network as_tbl_graph(x, ...) # S3 method for phylo as_tbl_graph(x, directed = NULL, ...) # S3 method for evonet as_tbl_graph(x, directed = TRUE, ...) tbl_graph(nodes = NULL, edges = NULL, directed = TRUE) as_tbl_graph(x, ...) # S3 method for default as_tbl_graph(x, ...) is.tbl_graph(x)

x | An object convertible to a |
---|---|

directed | Should the constructed graph be directed (defaults to |

... | Arguments passed on to the conversion function |

mode | In case |

nodes | A |

edges | A |

A `tbl_graph`

object

Constructors are provided for most data structures that resembles networks.
If a class provides an `igraph::as.igraph()`

method it is automatically
supported.

`as_tbl_graph`

: Method for edge table and set membership table`as_tbl_graph`

: Method to deal with Node objects from the data.tree package`as_tbl_graph`

: Method for dendrogram objects`as_tbl_graph`

: Method for handling graphNEL objects from the graph package (on Bioconductor)`as_tbl_graph`

: Method for handling graphAM objects from the graph package (on Bioconductor)`as_tbl_graph`

: Method for handling graphBAM objects from the graph package (on Bioconductor)`as_tbl_graph`

: Method for hclust objects`as_tbl_graph`

: Method for igraph object. Simply subclasses the object into a`tbl_graph`

`as_tbl_graph`

: Method for adjacency lists and lists of node and edge tables`as_tbl_graph`

: Method for edgelist, adjacency and incidence matrices`as_tbl_graph`

: Method to handle network objects from the`network`

package. Requires this packages to work.`as_tbl_graph`

: Method for handling phylo objects from the ape package`as_tbl_graph`

: Method for handling evonet objects from the ape package`as_tbl_graph`

: Default method. tries to call`igraph::as.igraph()`

on the input.

rstat_nodes <- data.frame(name = c("Hadley", "David", "Romain", "Julia")) rstat_edges <- data.frame(from = c(1, 1, 1, 2, 3, 3, 4, 4, 4), to = c(2, 3, 4, 1, 1, 2, 1, 2, 3)) tbl_graph(nodes = rstat_nodes, edges = rstat_edges)#> # A tbl_graph: 4 nodes and 9 edges #> # #> # A directed simple graph with 1 component #> # #> # Node Data: 4 x 1 (active) #> name #> <fct> #> 1 Hadley #> 2 David #> 3 Romain #> 4 Julia #> # #> # Edge Data: 9 x 2 #> from to #> <int> <int> #> 1 1 2 #> 2 1 3 #> 3 1 4 #> # … with 6 more rows