All functions

Cohesion() plot(<cohesion>)

Cohesion calculation

RMT_threshold() rmt()

Get RMT threshold for a correlation matrix

anno_edge()

Use dataframe to annotate edges of an igraph

anno_vertex()

Use data.frame to annotate vertexes of metanet

arc_count

Edgelist

arc_taxonomy

Edgelist

as.ggig()

Transfer an igraph object to a ggig

as_arc()

Layout as a arc

as_circle_tree()

Layout as a circle_tree

as_line()

Layout as a line

as_polyarc()

Layout as a polyarc

as_polycircle()

Layout as a polycircle

as_polygon()

Layout as a polygon

c_net_annotate()

Annotate a metanet

c_net_build()

Construct a metanet from a corr object

c_net_calculate()

Calculate correlation for one or two t(otutab), or distance for one t(otutab).

c_net_filter()

Filter a network according to some attributes

c_net_from_edgelist()

Construct a network from edge_list dataframe

c_net_layout()

Layout coordinates

c_net_load()

Load network file

c_net_plot()

Plot a metanet

c_net_save()

Save network file

c_net_set()

Set basic attributes from totu table

c_net_stability() robust_test() vulnerability() robustness()

Evaluate the stability of a network

c_net_union()

Union two networks

c_net_update()

Update a metanet object or transform igraph object to metanet object

cal_sim()

Calculate similarity for one t(otutab)

check_tabs()

Check tables and extract common samples

clean_igraph()

Clean a igraph object

clean_multi_edge_metanet()

Clean multi edge metanet to plot

co_net

MetaNet networks

co_net2

MetaNet networks

co_net_rmt

MetaNet networks

rand_net_par() compare_rand()

Net_pars of many random network

df2net_tree()

Transform a dataframe to a network edgelist.

extract_sample_net()

Extract each sample network from the whole network

fast_cor()

Fast correlation calculation

filter_n_module() combine_n_module() plot_module_tree()

Filter some modules as others

fit_power()

Fit power-law distribution for an igraph

g_layout()

Layout with group

g_layout_nice() g_layout_circlepack() g_layout_treemap() g_layout_backbone() g_layout_stress()

Layout with group nicely

g_layout_polygon() g_layout_polyarc() g_layout_polycircle()

Layout with group as a polygon

get_community()

Get community

get_e()

Get edge information

get_group_skeleton() skeleton_plot()

Get skeleton network according to a group

get_module()

Get module

get_module_eigen()

Get module_eigen

get_n()

Get network information

get_v()

Get vertex information

input_gephi()

Input a graphml file exported by Gephi

is_metanet()

Is this object a metanet object?

links_stat()

Link summary of the network

metab

MetaNet networks abundance

metab_g

MetaNet networks metadata

micro

MetaNet networks abundance

micro_g

MetaNet networks metadata

module_detect()

Detect the modules

module_eigen() module_expression()

Calculate the eigenvalue of each module and correlation of nodes and eigenvalue (node_eigen_cor).

module_net()

Generate a n-modules network

multi1

MetaNet networks

multi_net_build()

Multi-omics network build

nc()

Calculate natural_connectivity

netD3plot()

plot use networkD3

net_par() c_net_index()

Calculate all topological indexes of a network

olympic_rings_net()

Plot olympic rings using network

p.adjust.table()

p.adjust apply on a correlation table (matrix or data.frame)

plot(<ggig>)

Plot a ggig

plot(<metanet>)

Plot a metanet

plot(<rmt_res>)

Plot a rmt_res

print(<cohesion>)

Print method for 'cohesion' objects

print(<coors>)

Print method for 'coors' objects

print(<corr>)

Print method for 'corr' objects

print(<ggig>)

Print method for 'ggig' objects

print(<metanet>)

Print method for 'metanet' objects

print(<robust>)

Print method for 'robust' objects

print(<robustness>)

Print method for 'robustness' objects

print(<vulnerability>)

Print method for 'vulnerability' objects

rand_net()

Degree distribution comparison with random network

read_corr()

Read a corr object

plot(<robust>)

Plot robust

plot(<robustness>)

Plot robustness

save_corr()

Save a corr object

show_MetaNet_logo()

Show MetaNet logo

smallworldness()

Calculate small-world coefficient

summ_2col()

Summaries two columns information

summary(<corr>)

Summary method for 'corr' objects

summary_module()

Summary module index

to_module_net()

Transformation a network to a module network

transc

MetaNet networks abundance

transc_g

MetaNet networks metadata

twocol_edgelist()

Quick build a metanet from two columns table

venn_net()

Venn network

plot(<vulnerability>)

Plot vulnerability

zp_analyse() zp_plot()

Zi-Pi calculate