test_that("interp works", { single_interp_test <- function(start, end, n) { i <- interp(start, end, n) info <- paste0("start: ", start, "; end: ", end, "; n: ", n) expect_equal(length(i), n, info = info) expect_true(start %in% i, info = info) expect_false(end %in% i, info = info) expect_true(all(i >= start), info = info) expect_true(all(i <= end), info = info) } single_interp_test(0, 1, 1) single_interp_test(0, 1, 2) single_interp_test(0, 1, 7) single_interp_test(-23, 56, 1) single_interp_test(-23, 56, 4) single_interp_test(31.276, 34.443, 1) single_interp_test(31.276, 34.443, 100) }) test_that("munch_data works", { single_munch_test <- function(data, dist=NULL, segment_length = 0.01) { md <- munch_data(data, dist, segment_length) # all rows of dat are in md expect_equal(nrow(merge(md, dat)), nrow(dat)) expect_true(nrow(md) >= nrow(dat)) } dat <- data_frame(x = c(0, 60, 30, 20, 40, 45), y = c(1, 1, 2, 2, 2, 2), group = c(1L, 1L, 1L, 2L, 2L, 2L)) dist <- dist_euclidean(dat$x, dat$y) dist[dat$group[-1] != dat$group[-nrow(dat)]] <- NA single_munch_test(dat, dist) single_munch_test(dat, dist, segment_length = 10) single_munch_test(dat, dist, segment_length = 100) dist <- coord_polar(theta = "x")$distance(dat$x, dat$y, list(r.range = range(c(0,dat$y)), theta.range = range(dat$x))) dist[dat$group[-1] != dat$group[-nrow(dat)]] <- NA single_munch_test(dat, dist) single_munch_test(dat, dist, segment_length = 10) single_munch_test(dat, dist, segment_length = 100) dist <- coord_polar(theta = "y")$distance(dat$x, dat$y, list(r.range = range(c(0,dat$x)), theta.range = range(dat$y))) dist[dat$group[-1] != dat$group[-nrow(dat)]] <- NA single_munch_test(dat, dist) single_munch_test(dat, dist, segment_length = 10) single_munch_test(dat, dist, segment_length = 100) })