- Home
- CRAN
**brainGraph**: Graph Theory Analysis of Brain MRI Data**graph_attr_dt**: Create a data table with graph global measures

# Create a data table with graph global measures

### Description

This is just a helper function that takes a list of graphs and creates a data table of global measures for each graph, ordered by graph density.

### Usage

1 | ```
graph_attr_dt(g.list, group = NULL)
``` |

### Arguments

`g.list` |
A list of igraph graph objects |

`group` |
A character string indicating group membership (default:NULL) |

### Value

A data table with several columns (equal to the number of graph attributes) and row number equal to the number of graphs in the input list

### See Also

`graph_attr, graph_attr_names`

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.

- aal116: Coordinates for data from the AAl116 atlas
- aal2.120: Coordinates for data from the AAL2 atlas
- aal2.94: Coordinates for data from the AAL2 atlas
- aal90: Coordinates for data from the AAl90 atlas
- analysis_random_graphs: Perform an analysis with random graphs for brain MRI data
- aop: "Add-one-patient" approach to estimate individual network...
- assign_lobes: Give vertices in a graph a _lobe_ attribute.
- auc_diff: Difference in the area-under-the-curve of two vectors
- boot_global: Bootstrapping for global graph measures
- brainGraph_init: Initialize variables for further use in brainGraph
- brainsuite: Coordinates for data from BrainSuite atlas
- centr_lev: Calculate a vertex's leverage centrality
- check.resid: Check model residuals for each brain region
- choose.edges: Select edges for re-wiring.
- color.edges: Color graph edges
- color.vertices: Color graph vertices
- cor.diff.test: Calculate the p-value for differences in correlation...
- corr.matrix: Calculate correlation matrix and threshold
- count_homologous: Count number of edges between homologous regions of a brain...
- count_interlobar: Count number of inter-lobar connections from a given major...
- destrieux: Coordinates for data from the Destrieux atlas
- destrieux.scgm: Coordinates for data from the Destrieux atlas
- dk: Coordinates for data from the Desikan-Killiany atlas
- dk.scgm: Coordinates for data from the Desikan-Killiany atlas
- dkt: Coordinates for data from the Desikan-Killiany-Tourville...
- dkt.scgm: Coordinates for data from the Desikan-Killiany-Tourville...
- dosenbach160: Coordinates for data from the Dosenbach160 atlas
- dti_create_mats: Create connection matrices for tractography analysis
- edge_asymmetry: Calculate an asymmetry index based on edge counts
- edge_spatial_dist: Calculate Euclidean distance of edges
- get.resid: Linear model residuals across brain regions
- graph_attr_dt: Create a data table with graph global measures
- graph.contract.brain: Contract graph vertices based on brain lobe and hemisphere
- graph.efficiency: Calculate graph global, local, or nodal efficiency
- graph_neighborhood_multiple: Take the union of multiple neighborhood graphs
- hoa112: Coordinates for data from Harvard-Oxford atlas
- loo: "Leave-one-out" approach to estimate individual network...
- lpba40: Coordinates for data from the LONI probabilistic brain atlas
- make_empty_brainGraph: Create an empty graph with attributes for brainGraph
- NBS: Network-based statistic for brain MRI data
- part.coeff: Calculate vertex participation coefficient
- permute.group: Permutation test for group difference of graph measures
- permute.group.auc: Permutation test for group difference of graph measures
- plot_boot: Plot global graph measures with shaded regions calculated...
- plot_brainGraph: Plot a brain graph with a specific spatial layout
- plot_brainGraph_gui: GUI for plotting graphs overlaid on an MNI152 image or in a...
- plot_brainGraph_list: Write PNG files for a list of graphs
- plot_brainGraph_mni: Draw an axial or sagittal slice of the MNI152 T1 image
- plot_corr_mat: Plot a correlation matrix
- plot_global: Plot global graph measures across densities
- plot_group_means: Plot group distributions of volumetric measures for a given...
- plot_perm_diffs: Calculate permutation p-values and plot group differences
- plot_rich_norm: Plot normalized rich club coefficients against degree...
- plot_vertex_measures: Plot vertex-level graph measures at a single density or...
- rich.club.attrs: Assign graph attributes based on rich-club analysis
- rich.club.coeff: Calculate the rich club of a graph
- rich.club.norm: Calculate the normalized rich club coefficient
- rich.core: Calculate the rich core of a graph
- robustness: Analysis of network robustness
- rotation: Apply a rotation matrix to a set of points
- set.brainGraph.attributes: Set a number of graph and vertex attributes useful in MRI...
- sim.rand.graph.clust: Simulate a random graph with given degree sequence and...
- sim.rand.graph.par: Simulate N random graphs w/ same clustering and degree...
- small.world: Calculate graph small-worldness
- SPM: Perform between-group tests at each vertex for a given vertex...
- update_brainGraph_gui: Function to dynamically plot a graph
- vec.transform: Transform a vector to have a different range
- vertex_attr_dt: Create a data table with graph vertex measures
- vertex_spatial_dist: Calculate average Euclidean distance for each vertex
- vulnerability: Calculate graph vulnerability
- within_module_deg_z_score: Calculate vertex within-module degree z-score
- write.brainnet: Write files to be used for visualization with BrainNet Viewer