test.reinius.reference <- function(){
data("small.example.RnBSet")
Ks <- 2
lambdas <- c(0.01)
res <- run.refbased(rnb.set = rnb.set.example,Ks = Ks,lambdas = lambdas)
plot <- cluster.refbased(res,plot.type="dendrogram",K=2,lambda=0.01)
passes <- is.null(plot)
checkTrue(passes)
}
test.general <- function(){
data("example.dataset")
input.data <- D[sample(1:nrow(D),1000),sample(1:ncol(D),5)]
cg_subsets <- list("var"=sample(1:nrow(D),250),"random"=sample(1:nrow(D),500))
Ks <- 2
lambdas <- c(0.01)
res <- runMeDeCom(data = D,Ks = Ks,lambdas = lambdas,cg_subsets = cg_subsets)
passes <- inherits(res,"MeDeComSet")
checkTrue(passes)
}
test.contribution.interpretation <- function(){
data("example.MeDeComSet")
anno.frame <- data.frame(Sex=sample(c("M","F"),100,replace=T),Age=sample(1:100,100,replace=T),Ethnicity=sample(c("A","B","C"),100,replace = T))
res <- run.trait.association.single(medecom.result,pheno.data=anno.frame)
passes <- all(names(res) %in% c("linear model","qualitative","quantitative"))
checkTrue(passes)
}
# test.enrichment <- function(){
# require("RnBeads")
# data("example.MeDeComSet")
# anno.frame <- rnb.annotation2data.frame(rnb.get.annotation("probes450"))[sample(1:460000,10000),]
# res <- lmc.lola.plots.tables(medecom.result,anno.data=anno.frame)
# passes <- all(names(res) %in% c("Plots","Tables"))
# res <- lmc.go.enrichment(medecom.result,anno.data=anno.frame)
# passes <- passes && (class(res) == "list")
# checkTrue(passes)
# }
test.routine <- function(){
require("RUnit")
require("MeDeCom")
cat("STARTED testing general function \n")
test.general()
cat("COMPLETED testing general function \n")
cat("STARTED testing contribution interpretation \n")
test.contribution.interpretation()
cat("COMPLETED testing contribution interpretation \n")
# cat("STARTED testing enrichment functions \n")
# test.enrichment()
# cat("COMPLETED testing enrichment functions \n")
}
test.routine()
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