test_that("DENBth produces desired results from output of fitNBthDE and coefNBth", {
#### Specs for DENBth
## 1. In the output data.frame, the DE table should not have NA if NAto1=TRUE
## 2. In the output data.frame, the DE table has a column padj when adjp=TRUE
library(dplyr)
### Initializing CTA objects before running tests
# Create temporary directory that will get destroyed after this block is executed.
tmp_dir <- withr::local_tempdir(pattern = "tmp_dir")
withr::local_dir(tmp_dir)
# Run data through (required) upstream functions
data(NBthDEmod2)
coeffull <- coefNBth(NBthDEmod2, fullpara=TRUE)
DEtab1 <- DENBth(coeffull, variable = "group")
DEtab2 <- DENBth(coeffull, variable = "group", NAto1=FALSE)
DEtab3 <- DENBth(coeffull, variable = "group", padj=FALSE)
## 1. In the output data.frame, the DE table should not have NA if NAto1=TRUE
if(sum(is.na(DEtab2$pvalue))>0)
expect_equal(DEtab1$pvalue[is.na(DEtab2$pvalue)],rep(1, sum(is.na(DEtab2$pvalue))))
## 2. In the output data.frame, the DE table has a column padj when adjp=TRUE
expect_equal(setdiff(colnames(DEtab1), colnames(DEtab3)), "adjp")
})
test_that("DENBth produces desired results from output of fitNBthmDE and coefNBth", {
#### Specs for DENBth
## 1. In the output data.frame, the DE table should not have NA if NAto1=TRUE
## 2. In the output data.frame, the DE table has a column padj when adjp=TRUE
library(dplyr)
### Initializing CTA objects before running tests
# Create temporary directory that will get destroyed after this block is executed.
tmp_dir <- withr::local_tempdir(pattern = "tmp_dir")
withr::local_dir(tmp_dir)
# Run data through (required) upstream functions
data(NBthmDEmod2)
coefmfull <- coefNBth(NBthmDEmod2, fullpara=TRUE)
DEmtab1 <- DENBth(coefmfull, variable = "regiontubule")
DEmtab2 <- DENBth(coefmfull, variable = "regiontubule", NAto1=FALSE)
DEmtab3 <- DENBth(coefmfull, variable = "regiontubule", padj=FALSE)
## 1. In the output data.frame, the DE table should not have NA if NAto1=TRUE
if(sum(is.na(DEmtab2$pvalue))>0)
expect_equal(DEmtab1$pvalue[is.na(DEmtab2$pvalue)],rep(1, sum(is.na(DEmtab2$pvalue))))
## 2. In the output data.frame, the DE table has a column padj when adjp=TRUE
expect_equal(setdiff(colnames(DEmtab1), colnames(DEmtab3)), "adjp")
})
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