## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----eval = FALSE------------------------------------------------------------- # # Install current version, using the install() function in the BiocManager package # install.packages("BiocManager") # Install BiocManager if not already installed # library("BiocManager") # BiocManager::install("chemodiv") ## ----------------------------------------------------------------------------- # Load chemodiv library(chemodiv) ## ----------------------------------------------------------------------------- data("alpinaSampData") head(alpinaSampData)[,1:5] ## ----------------------------------------------------------------------------- data("alpinaCompData") head(alpinaCompData) ## ----------------------------------------------------------------------------- chemoDivCheck(compoundData = alpinaCompData, sampleData = alpinaSampData) ## ----------------------------------------------------------------------------- data("alpinaPopData") table(alpinaPopData) ## ----eval = FALSE------------------------------------------------------------- # alpinaNPC <- NPCTable(compoundData = alpinaCompData) # # alpinaNPC[1,] # Classification of the first compound in dataset ## ----echo = FALSE------------------------------------------------------------- data("alpinaNPCTable") alpinaNPC <- alpinaNPCTable rm(alpinaNPCTable) alpinaNPC[1,] ## ----eval = FALSE------------------------------------------------------------- # alpinaCompDis <- compDis(compoundData = alpinaCompData, # type = "PubChemFingerprint") # # alpinaCompDis$fingerDisMat[1:4, 1:4] # Part of compound dissimilarity matrix ## ----echo = FALSE, message = FALSE-------------------------------------------- data("alpinaCompDis") alpinaCompDisMat <- alpinaCompDis rm(alpinaCompDis) alpinaCompDis <- list() alpinaCompDis[["fingerDisMat"]] <- alpinaCompDisMat alpinaCompDis$fingerDisMat[1:4, 1:4] ## ----------------------------------------------------------------------------- alpinaDiv <- calcDiv(sampleData = alpinaSampData, compDisMat = alpinaCompDis$fingerDisMat, type = "FuncHillDiv", q = 1) head(alpinaDiv) ## ----------------------------------------------------------------------------- alpinaDivProf <- calcDivProf(sampleData = alpinaSampData, compDisMat = alpinaCompDis$fingerDisMat, type = "FuncHillDiv") head(alpinaDivProf$divProf)[,1:5] # Part of the diversity profile data frame ## ----------------------------------------------------------------------------- alpinaBetaDiv <- calcBetaDiv(sampleData = alpinaSampData, compDisMat = alpinaCompDis$fingerDisMat, type = "FuncHillDiv") alpinaBetaDiv ## ----message = FALSE---------------------------------------------------------- alpinaSampDis <- sampDis(sampleData = alpinaSampData, compDisMat = alpinaCompDis$fingerDisMat, type = "GenUniFrac") alpinaSampDis$GenUniFrac[1:4, 1:4] # Part of sample dissimilarity matrix ## ----message = FALSE---------------------------------------------------------- alpinaNetwork <- molNet(compDisMat = alpinaCompDis$fingerDisMat, npcTable = alpinaNPC, cutOff = 0.75) summary(alpinaNetwork) ## ----fig.width = 12, fig.height = 8, out.width = "95%"------------------------ molNetPlot(sampleData = alpinaSampData, networkObject = alpinaNetwork$networkObject, npcTable = alpinaNPC, plotNames = TRUE) ## ----fig.width = 12, fig.height = 8, out.width = "95%"------------------------ chemoDivPlot(compDisMat = alpinaCompDis$fingerDisMat, divData = alpinaDiv, divProfData = alpinaDivProf, sampDisMat = alpinaSampDis$GenUniFrac, groupData = alpinaPopData) ## ----eval = FALSE------------------------------------------------------------- # quickChemoDiv(compoundData = alpinaCompData, # sampleData = alpinaSampData, # groupData = alpinaPopData, # outputType = "plots") # Not run