Nothing
context("check if some unite works")
data(methylKit)
dbdir <- "methylDB"
methylRawListDB = makeMethylDB(methylRawList.obj, dbdir = dbdir)
test_that("check if unite works", {
expect_equal(
getData(unite(methylRawList.obj)),
getData(unite(methylRawListDB))
)
expect_equal(
getData(unite(methylRawList.obj,destrand = TRUE)),
getData(unite(methylRawListDB,destrand = TRUE))
)
expect_equal(
getData(unite(methylRawList.obj,destrand = FALSE,min.per.group = 1L)),
getData(unite(methylRawListDB,destrand = FALSE,min.per.group = 1L))
)
expect_equal(
getData(unite(methylRawList.obj,destrand = TRUE,min.per.group = 1L)),
getData(unite(methylRawListDB,destrand = TRUE,min.per.group = 1L))
)
})
# does unite work as expected ?
samp1 <- data.frame(chr = "chr11",
start = c(119000000,119000001),
end = c(119000000,119000001),
strand = c("+","-"),
coverage = c(17,14),
numCs = c(13,14),
numTs = c(4,0))
samp1Raw <- new("methylRaw",samp1,sample.id="samp1",assembly="none",
context="none",resolution="base")
samp2 <- data.frame(chr = "chr11",
start = c(119000000,119000001),
end = c(119000000,119000001),
strand = c("+","-"),
coverage = c(23,12),
numCs = c(20,11),
numTs = c(3,1))
samp2Raw <- new("methylRaw",samp2,sample.id="samp2",assembly="none",
context="none",resolution="base")
res <- data.frame(chr = as.character("chr11"),
start = as.integer(119000000),
end = as.integer(119000000),
strand = as.character("+"),
coverage1 = c(31),
numCs1 = c(27),
numTs1 = c(4),
coverage2 = c(35),
numCs2 = c(31),
numTs2 = c(4),
stringsAsFactors = FALSE
)
test_that("check if destranding works as expected", {
expect_equal(getData(unite(
methylRawList(samp1Raw, samp2Raw, treatment = c(0, 1)), destrand = TRUE
)),
res)
})
# ## benchmark for .CpG.dinuc.unify vs .CpG.dinuc.unifyOld
# df <- data.table::rbindlist(lapply(methylRawList.obj, getData))
# dim(df)
# # df <- rbind(df,df,df,df,df,df,df,df)
# # df$chr <- rep(x = 1:8,each = dd[1])
# for(i in 1:4 ) {
# df2 <- copy(df)
# df2[,`:=`(start = start - i,end = end - i)]
# df <- rbind(df,df2)
# }
# data.table::setkey(df,chr,start,end)
# df <- df[!duplicated(df[,1:3]),]
# df <- as.data.frame(df)
# dim(df)
#
#
# bench::mark(
# .CpG.dinuc.unify(df),
# .CpG.dinuc.unifyOld(df)
# )
unlink(dbdir,recursive = TRUE)
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