# Test Start ### test_that("format testing on the built model1",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) present.points<-pseudo.present.points(data,10,2,1,en.vir) expect_warning(niche.Model.Build(prese=present.points,absen=NULL, prese.env=NULL,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "The response has five or fewer unique values. Are you sure you want to do regression?") }) test_that("format testing on the built model2",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) present.points<-pseudo.present.points(data,10,2,1,en.vir) prese.env<-raster::extract(en.vir,present.points[,2:3]) prese.env<-as.data.frame(prese.env) NMB.out<-niche.Model.Build(prese=NULL,absen=NULL, prese.env=prese.env,absen.env=NULL, model="MAXENT", en.vir=en.vir,bak.vir=bak.vir) expect_equal(class(NMB.out$model)[1],"MaxEnt") }) test_that("tests for abnormal conditions1",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) present.points<-data[1:2,] prese.env<-raster::extract(en.vir,present.points[,2:3]) prese.env<-as.data.frame(prese.env) expect_warning(niche.Model.Build(prese=NULL,absen=NULL, prese.env=prese.env,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "prese.env has less than 3 records!\n") }) test_that("tests for abnormal conditions2",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) present.points<-data[,1:2] expect_error(niche.Model.Build(prese=present.points,absen=NULL, prese.env=NULL,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "The present data must be a dataframe with three columns") }) test_that("tests for abnormal conditions3",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) present.points<-data expect_warning(niche.Model.Build(prese=present.points,absen=NULL, prese.env=NULL,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "The response has five or fewer unique values. Are you sure you want to do regression?") }) test_that("tests for abnormal conditions4",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) present.points<-data[1:2,] prese.env<-raster::extract(en.vir,present.points[,2:3]) prese.env<-as.data.frame(prese.env) expect_warning(niche.Model.Build(prese=present.points,absen=NULL, prese.env=prese.env,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "prese.env has less than 3 records!\n") }) test_that("tests for abnormal conditions5",{ data(en.vir) data(bak.vir) expect_warning(niche.Model.Build(prese=NULL,absen=NULL, prese.env=bak.vir,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "The response has five or fewer unique values. Are you sure you want to do regression?") }) test_that("tests for abnormal conditions6",{ data(en.vir) data(bak.vir) expect_warning(niche.Model.Build(prese=NULL,absen=NULL, prese.env=bak.vir,absen.env=bak.vir, model="RF", en.vir=en.vir,bak.vir=bak.vir), "The response has five or fewer unique values. Are you sure you want to do regression?") }) test_that("tests for abnormal conditions7",{ data(en.vir) data(bak.vir) data<-data.frame(species=rep("Acosmeryx anceus",3), Lon=c(145.380,145.270,135.461), Lat=c(-16.4800,-5.2500,-16.0810)) absent.points<-pseudo.absent.points(data,en.vir=en.vir,outputNum=100) expect_warning(niche.Model.Build(prese=data,absen=absent.points$lonlat, prese.env=NULL,absen.env=NULL, model="RF", en.vir=en.vir,bak.vir=bak.vir), "The response has five or fewer unique values. Are you sure you want to do regression?") })