Nothing
library(testthat) # load testthat package
library(combinationpvalues) # load our package
library(spatstat.utils)
# Test whether the output is a data frame
test_that("test whether InfinitePs returns a list", {
output<- InfinitePs(0.2)
expect_type(output, "list")
})
# Test whether InfinitePs returns length >= 2
test_that("test whether InfinitePs returns length >= 2", {
output<- InfinitePs(0.2,0.1,0.9)
expect_gte(length(output), 2)
})
#expect_condition function
#created a function to check whether list of values are within a given range
expect_condition<- function(object) {
# 1. Capture object and label
act <- quasi_label(rlang::enquo(object), arg = "object")
# 2. Call expect()
rr <- c(0, 1)
act$val <-lapply(act$val, as.numeric)
#print(act)
for (x in act$val) {
act$range <-inside.range(x, rr)
#print(act)
}
expect(
act$range,
sprintf("%s has range %e,%f, not range 0 to 1.", act$lab, min(unlist(act$val))[1],max(unlist(act$val))[1])
)
# 3. Invisibly return the value
invisible(act$range)
}
# Test whether InfinitePs inputs are within range of 0 to 1 inclusive
test_that("test whether InfinitePs inputs are within range of 0 to 1 inclusive", {
output<- InfinitePs(0.2,0.1,0.9)
expect_condition(output)
})
## Test whether one of the six functions return one test statistic value only
test_that("Test whether one of the six functions return one p value only",
{
input <- InfinitePs(0.1,0.4,0.02)
output <- StoufferMethod(input)
expect_length(output, 1)
})
## Test whether the final combined p value should return only one value
test_that("Test whether the final combined p value should return only one value",
{
input <- InfinitePs(0.016,0.067, 0.25, 0.405, 0.871)
Fisher <- FishersMethod(input)
output <- CombinedPValueMethod(Fisher,"Fisher") #return 0.014522139680083129
#print(output)
expect_length(output, 1)
})
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