bi_cor_net: Bipartite/two-mode correlation network

In wanchanglin/mtExtra: More functions for metabolomics data analysis

Bipartite/two-mode correlation network

Description

Perform bipartite/two-mode correlation network analysis.

Usage

bi_cor_net(co_mat, thres = 0.6, dn = NULL)

Arguments

co_mat	a correlation coefficient matrix.
thres	correlation coefficient threshold for network analysis.
dn	a character string for correlation name.

Value

a list of ggplot2 plots.

Examples

data <- mtExtra:::data
meta <- mtExtra:::meta

## Not run: 
## process meta
library(mt)
meta <- mv_filter(meta, thres = 0.3)$dat
meta <- mv.fill(meta, method = "mean") 
meta <- preproc(meta, method = "auto")

## End(Not run)

co <- cor(meta, data, use = "pairwise.complete.obs")
heat_dend(co)

res <- bi_cor_net(co, thres = 0.2)
names(res)
res$net1
res$dend2

wanchanglin/mtExtra documentation built on Aug. 2, 2024, 5:47 p.m.