context("other") test_that("opts",{ expect_is(opts_FRK$get,"function") expect_is(opts_FRK$set,"function") expect_is(opts_FRK$get("progress"),"logical") expect_is(opts_FRK$get("parallel"),"integer") expect_is(opts_FRK$get("verbose"),"logical") }) test_that("coordinates",{ library(sp) data <- data.frame(x = seq(0,10,by=0.01), y = 0, z= runif(1001)) data_sp <- data coordinates(data_sp) <- ~x+y Grid1D_df <- auto_BAUs(manifold = real_line(), cellsize = 1, data=data_sp) test_coords <- coordinates(Grid1D_df) row.names(test_coords) <- NULL expect_equal(test_coords,as.matrix(data.frame(x=-2:12,y=0))) }) test_that("coordnames_SpaceTime",{ library(spacetime) sim_process <- expand.grid(x = seq(0.005,0.995,by=0.01), y = seq(0.005,0.995,by=0.01), t = seq(1,20,by = 1)) sim_process$z <- 1 time1 <- as.POSIXct("2015-09-01",tz="") + 3600*24*(sim_process$t-1) space1 <- sim_process[,c("x","y")] coordinates(space1) <- ~x+y STobj1 <- STIDF(space1,time1,data=sim_process) expect_equal(coordnames(STobj1),c("x","y","t")) time2 <- unique(time1) space2 <- unique(sim_process[,c("x","y")]) coordinates(space2) <- ~x+y STobj2 <- STIDF(space2,time2,data=sim_process) expect_equal(coordnames(STobj2),c("x","y","t")) }) test_that("Estimate observation error from variogram",{ data(meuse) coordinates(meuse) = ~x+y # change into an sp object suppressWarnings(meuse <- .est_obs_error(meuse,variogram.formula = log(zinc)~1)) expect_true("std" %in% names(meuse)) expect_is(meuse,"SpatialPointsDataFrame") }) test_that("Can convert SPDF to DF", { sphere_grid <- auto_BAUs(manifold=sphere(), data=NULL, cellsize=c(20,10), type="grid") expect_is(sphere_grid,"SpatialPolygonsDataFrame") df <- SpatialPolygonsDataFrame_to_df(sphere_grid,vars = c("lon","lat")) expect_is(df,"data.frame") expect_equal(names(df),c("lon","lat","id")) expect_equal(length(unique(df$id)),length(sphere_grid)) sphere_grid$test <- 1:length(sphere_grid) df <- SpatialPolygonsDataFrame_to_df(sphere_grid,vars = c("lon","lat","test")) expect_is(df,"data.frame") expect_equal(names(df),c("lon","lat","id","test")) expect_equal(length(unique(df$id)),length(sphere_grid)) }) test_that("Can convert DF to SP", { library(sp) opts_FRK$set("parallel",0L) df <- data.frame(id = c(rep(1,4),rep(2,4)), x = c(0,1,0,0,2,3,2,2), y=c(0,0,1,0,0,1,1,0)) pols <- df_to_SpatialPolygons(df,"id",c("x","y"),CRS()) expect_is(pols,"SpatialPolygons") expect_equal(length(pols),2) expect_equal(coordnames(pols),c("x","y")) }) test_that("Options work", { opts <- new_opts_FRK() expect_is(opts,"list") expect_equal(names(opts),c("set","get")) expect_is(opts$set,"function") expect_is(opts$get,"function") opts$set("progress",1) expect_equal(opts$get("progress"),1) }) test_that("Plotting works", { library(ggplot2) expect_true({draw_world(); TRUE}) }) test_that("Date sequencing works", { library("Hmisc") tspacing <- paste(1,"year") tstart <- as.POSIXct("1990-06-01 10:00:00 AEST") tend <- as.POSIXct("1993-06-01 10:00:00 AEST") tgrid <- seq(truncPOSIXt(tstart,"year"), truncPOSIXt(tend,"year"), by=tspacing) expect_is(tgrid,"POSIXct") expect_equal(length(tgrid),4L) }) test_that("distR works", { x <- matrix(rnorm(20),10,2) y <- matrix(rnorm(20),10,2) D1 <- distR(x,x) D2 <- as.matrix(dist(x)) expect_lt(sum(D1-D2), 1e-12) }) test_that("formula no covariates works", { f1 <- y ~ x + 1 f2 <- sin(y) ~ log(x) - 1 f3 <- sin(cos(y)) ~ d + r f1B <- .formula_no_covars(f1) f2B <- .formula_no_covars(f2) f3B <- .formula_no_covars(f3) expect_equal(f1B,formula(y~1)) expect_equal(f2B,formula(sin(y)~1)) expect_equal(f3B,formula(sin(cos(y))~1)) })