Nothing
context("get.tau")
test_that("get.tau returns 1 when labels are ignored", {
#generate a set of 1000 random points even labeled between the two
x<-cbind(rep(c(1,2),50), x=runif(100,0,100), y=runif(100,0,100))
colnames(x) <-c("type","x","y")
test <- function(a,b) {return(1)}
#######FIRST WITH REPRESENTATIVE SAMPLE ASSUMED
#with no lower limit
res <- get.tau(x,test,seq(10,100,10))$tau
expect_that(res,equals(rep(1,10)))
#with lower and upper limit
res <- get.tau(x,test,seq(10,100,10), seq(0,90,10))$tau
expect_that(res,equals(rep(1,10)))
#######SECOND WITH INDEPENDENT PROCESS ASSUMED
#with no lower limit
res <- get.tau(x,test,seq(10,100,10), comparison.type="independent")$tau
expect_that(res,equals(rep(1,10)))
#with lower and upper limit
res <- get.tau(x,test,seq(10,100,10), seq(0,90,10), comparison.type="independent")$tau
expect_that(res,equals(rep(1,10)))
})
test_that("correct results for test case 1 (equilateral triangle)", {
x <- rbind(c(1,0,0), c(1,1,0),c(2,.5,sqrt(.75)))
colnames(x) <-c("type","x","y")
test <- function(a,b) {
if (a[1] != 1) return(3)
if (b[1] == 2) return(1)
return(2)
}
#######FIRST WITH REPRESENTATIVE SAMPLE ASSUMED
#first no lower limit
res <- get.tau(x,test,1.5)$tau
res2 <- get.tau.typed(x,1,2,1.5)$tau
expect_that(res, equals(1))
expect_that(res2, equals(1))
#now with a lower limit
res <- get.tau(x,test,1.5,.5)$tau
res2 <- get.tau.typed(x,1,2,1.5,.5)$tau
expect_that(res, equals(1))
expect_that(res2, equals(1))
#######SECOND WITH INDEPENDENT PROCESS ASSUMED
#first no lower limit
res <- get.tau(x,test,1.5, comparison.type="independent")$tau
res2 <- get.tau.typed(x,1,2,1.5, comparison.type="independent")$tau
expect_that(res, equals(1))
expect_that(res2, equals(1))
#now with a lower limit
res <- get.tau(x,test,1.5,.5, comparison.type="independent")$tau
res2 <- get.tau.typed(x,1,2,1.5,.5, comparison.type="independent")$tau
expect_that(res, equals(1))
expect_that(res2, equals(1))
})
test_that("get.tau returns appropriate values cannonical test case 2 (points on a line)", {
x<-rbind(c(1,0,0), c(2,1,0), c(2,-1,0), c(3,2,0),
c(2,-2,0), c(3,3,0),c(3,-3,0))
colnames(x) <-c("type","x","y")
test <- function(a,b) {
if (a[1] != 1) return(3)
if (b[1] == 2) return(1)
return(2)
}
#######FIRST WITH REPRESENTATIVE SAMPLE ASSUMED
#tau 0,1.5 should be 2, 1.5-2.5 should be 1 and 2.5+ should be 0
res <- get.tau(x, test, c(1.5,2.5,Inf), c(0,1.5,2.5))$tau
res2 <- get.tau.typed(x, 1, 2, c(1.5,2.5,1000), c(0,1.5,2.5))$tau
expect_that(res,equals(c(2,1,0)))
expect_that(res2,equals(c(2,1,0)))
#######SECOND WITH INDEPENDENT PROCESS ASSUMED
#tau 0,1.5 should be Inf, 1.5-2.5 should be 1 and 2.5+ should be 0
res <- get.tau(x, test, c(1.5,2.5,Inf), c(0,1.5,2.5), comparison.type="independent")$tau
res2 <- get.tau.typed(x, 1, 2, c(1.5,2.5,1000), c(0,1.5,2.5), comparison.type="independent")$tau
expect_that(res,equals(c(Inf,1,0)))
expect_that(res2,equals(c(Inf,1,0)))
})
test_that("get.tau returns identical results regardless of column order",
{
x<-cbind(rep(c(1,2),50), x=runif(100,0,100), y=runif(100,0,100))
colnames(x) <-c("type","x","y")
test <- function(a,b) {
if (a[1] != 1) return(3)
if (b[1] == 1) return(1)
return(2)
}
res1 <- get.tau(x,test,seq(10,100,10), seq(0,90,10))
test <- function(a,b) {
if (a[3] != 1) return(3)
if (b[3] == 1) return(1)
return(2)
}
res2 <- get.tau(x[,c(3,2,1)],test,seq(10,100,10), seq(0,90,10))
test <- function(a,b) {
if (a[2] != 1) return(3)
if (b[2] == 1) return(1)
return(2)
}
res3 <- get.tau(x[,c(2,1,3)],test,seq(10,100,10), seq(0,90,10))
expect_that(res1, equals(res2))
expect_that(res2, equals(res3))
})
test_that ("get.tau fails nicely if x and y column names are not provided", {
x<-cbind(rep(c(1,2),50), a=runif(100,0,100), b=runif(100,0,100))
test <- function(a,b) {
if (a[1] != 2) return(3)
if (b[1] == 3) return(1)
return(2)
}
expect_that(get.tau(x,test,seq(10,50,10), seq(0,40,10)),
throws_error("unique x and y columns must be defined"))
})
test_that ("selection of an invalid comparison type fails nicely", {
x<-rbind(c(1,0,0), c(2,1,0), c(2,-1,0), c(3,2,0),
c(2,-2,0), c(3,3,0),c(3,-3,0))
colnames(x) <-c("type","x","y")
test <- function(a,b) {
if (a[1] != 1) return(3)
if (b[1] == 2) return(1)
return(2)
}
expect_that( get.tau(x, test, c(1.5,2.5,Inf), c(0,1.5,2.5), comparison.type="foobar"),
throws_error("unkown comparison type specified"))
expect_that( get.tau.typed(x, 1, 2, c(1.5,2.5,1000), c(0,1.5,2.5), comparison.type="foobar"),
throws_error("unkown comparison type specified"))
})
##################DEPRECATED TESTS...TAKE TO LONG...NOW USING SMALLER CANONICAL
##################TESTS THAT HAVE VALUES THAT CAN BE WORKED OUT BY HAND
## test_that("get.tau and get.tau.typed have same behavior and both return about 1 when they should", {
## set.seed(380)
## #generate a set of 1000 random points even labeled between the two
## x<-cbind(rep(c(1,2),500), x=runif(1000,0,100), y=runif(1000,0,100))
## colnames(x) <-c("type","x","y")
## test <- function(a,b) {
## if (a[1] != 1) return(3)
## if (b[1] == 1) return(1)
## return(2)
## }
## #no lower limit
## res1 <- get.tau(x,test,seq(10,100,10))
## res2 <- get.tau.typed(x, 1,1, seq(10,100,10))
## expect_that(res1,equals(res2))
## expect_that(round(res1,1),equals(rep(1,10)))
## expect_that(round(res2,1),equals(rep(1,10)))
## #lower limit
## res1 <- get.tau(x,test,seq(10,100,10), seq(0,90,10))
## res2 <- get.tau.typed(x, 1,1, seq(10,100,10), seq(0,90,10))
## expect_that(res1,equals(res2))
## expect_that(round(res1,1),equals(rep(1,10)))
## expect_that(round(res2,1),equals(rep(1,10)))
## })
## test_that("get.tau with equality test returns about .5 when points are uniform",
## {
## set.seed(787)
## #generate a set of 1000 random points even labeled between the two
## x<-cbind(rep(c(1,2),500), x=runif(1000,0,100), y=runif(1000,0,100))
## colnames(x) <-c("type","x","y")
## test <- function(a,b) {
## if (a[1]==b[1]) return(1)
## return(2)
## }
## #no lower limit
## res1 <- get.tau(x,test,seq(10,100,10))
## expect_that(round(res1,1),equals(rep(1,10)))
## #lower limit
## res1 <- get.tau(x,test,seq(10,100,10), seq(0,90,10))
## expect_that(round(res1,1),equals(rep(1,10)))
## })
## test_that("get.tau is montonically decreasing for normally distributed clusters",
## {
## set.seed(787)
## #first generate 500 random uniform points
## x<-cbind(1, x=runif(500,0,100), y=runif(500,0,100))
## colnames(x) <-c("type","x","y")
## #add a seed point
## x<-rbind(x,c(2,50,50))
## #generate 500 normally distibuted points around this
## x<-rbind(x,cbind(3,rnorm(1000,50,20),rnorm(1000,50,20)))
## #check wit get.tau.typed
## res1 <- get.tau.typed(x,2,3,seq(10,50,10), seq(0,40,10))
## expect_that(res1[1]>res1[2] & res1[2]>res1[3] &
## res1[3]>res1[4] & res1[4]>res1[5], is_true())
## #do
## test <- function(a,b) {
## if (a[1] != 2) return(3)
## if (b[1] == 3) return(1)
## return(2)
## }
## res2 <- get.tau(x,test,seq(10,50,10), seq(0,40,10))
## expect_that(res2[1]>res2[2] & res2[2]>res2[3] &
## res2[3]>res2[4] & res2[4]>res2[5], is_true())
## expect_that(res1,equals(res2))
## })
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