countInteractions: countInteractions
In AlmaasLab/micInt: Find microbial interactions
countInteractions R Documentation
countInteractions
Description
Counts the number of interactions for each OTU
Usage
countInteractions(IDs, interactions_table)
Arguments
IDs
Character vector, the name name of each OTU
interactions_table
An interaction_table
Value
A named numeric vector showing the number of interactions for each OTU in the
IDs argument
#' @examples
library(micInt)
data("seawater")
sim.scores <- similarity_measures(subset= c("spearman","pearson"))
res <- runAnalysis(OTU_table = seawater,sim.scores = sim.scores,parallel = FALSE)
int_table <- create_interaction_table(res[[1]]$ccrepe_res)
countInteractons(c("OTU_1","OTU_2","OTU_18"),int_table)
AlmaasLab/micInt documentation built on April 1, 2022, 10:37 a.m.
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| countInteractions | R Documentation |
countInteractions
Description
Counts the number of interactions for each OTU
Usage
countInteractions(IDs, interactions_table)
Arguments
IDs |
Character vector, the name name of each OTU |
interactions_table |
An |
Value
A named numeric vector showing the number of interactions for each OTU in the IDs argument
#' @examples library(micInt) data("seawater") sim.scores <- similarity_measures(subset= c("spearman","pearson")) res <- runAnalysis(OTU_table = seawater,sim.scores = sim.scores,parallel = FALSE) int_table <- create_interaction_table(res[[1]]$ccrepe_res) countInteractons(c("OTU_1","OTU_2","OTU_18"),int_table)
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