View source: R/model_Gephi.2.R
model_Gephi.2 | R Documentation |
Enter correlation matrix, calculate network modules, and Calculate the coordinates of the node.
model_Gephi.2(cor = cor, method = "cluster_fast_greedy", seed = 2)
cor |
Correlation matrix Clustering Algorithm |
method |
Clustering Algorithm |
seed |
Set random seed |
# The algorithm imitate Gephi's network layout. while, it saves time and the calculation speed is faster,This is the upgraded version.
By default, returns a list
cluster_fast_greedy:
cluster_walktrap:
cluster_edge_betweenness:
cluster_spinglass:
list
Contact: Tao Wen taowen@njau.edu.cn Penghao Xie 2019103106@njau.edu.cn yongxin liu yxliu@genetics.ac.cn Jun Yuan junyuan@njau.edu.cn
Tao Wen#, Penghao Xie#, Shengdie Yang, Guoqing Niu, Xiaoyu Liu, Zhexu Ding, Chao Xue, Yong-Xin Liu *, Qirong Shen, Jun Yuan* ggClusterNet: an R package for microbiome network analysis and modularity-based multiple network layouts iMeta 2022,DOI: doi: 10.1002/imt2.32
data(ps)
result = corMicro (ps = ps,N = 100,r.threshold=0.8,p.threshold=0.05,method = "pearson")
#Extract correlation matrix
cor = result[[1]]
# building the node group
result2 <- model_Gephi.2(cor = cor,
method = "cluster_fast_greedy",
seed = 12
)
node = result2[[1]]
node = result2[[2]]
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