context("multivariate functional functions")
library(dplyr)
testthat::test_that("test get_delta function, basic", {
non_sym1 <- matrix(1:16, nrow = 4)
non_sym2 <- matrix(1:12, nrow = 3)
testthat::expect_error(get_delta(non_sym1))
testthat::expect_error(get_delta(non_sym2))
d <- data.frame(x = 1:5)
dmat <- as.matrix(dist(d))
testthat::expect_equal(get_delta(dmat),1)
d2 <- data.frame(x = c(1,3:5))
dmat2 <- as.matrix(dist(d2))
testthat::expect_equal(get_delta(dmat2),2)
})
testthat::test_that("test get_delta_simple function, basic", {
non_sym1 <- matrix(1:16, nrow = 4)
non_sym2 <- matrix(1:12, nrow = 3)
testthat::expect_error(get_delta_simple(non_sym1))
testthat::expect_error(get_delta_simple(non_sym2))
d <- data.frame(x = 1:5)
dmat <- as.matrix(dist(d))
testthat::expect_equal(get_delta_simple(dmat),1)
d2 <- data.frame(x = c(1,3:5))
dmat2 <- as.matrix(dist(d2))
testthat::expect_equal(get_delta_simple(dmat2),2)
})
testthat::test_that("test get_delta_dist, basic", {
test <- rnorm(5)
d <- dist(test)
dmat <- as.matrix(d)
delta <- get_delta_simple(dmat)
delta2 <- get_delta_dist(d)
testthat::expect_equal(delta, delta2)
d <- data.frame(x = 1:5)
d <- dist(d)
testthat::expect_equal(get_delta_dist(d),1)
d2 <- data.frame(x = c(1,3:5))
d <- dist(d2)
testthat::expect_equal(get_delta_dist(d),2)
})
# testthat::test_that("test get_delta_large, basic", {
# test <- data.frame(x = rnorm(55))
# val <- get_delta_large(test, verbose = F)
# val2 <- get_delta_simple(as.matrix(dist(test)))
#
# testthat::expect_equal(val, val2)
#
# test <- data.frame(x = rnorm(55),
# y = rnorm(55))
# val <- get_delta_large(test, verbose = F)
# val2 <- get_delta_simple(as.matrix(dist(test)))
# testthat::expect_equal(val, val2)
# })
testthat::test_that("test get_delta_flex, basic", {
d <- data.frame(x = 1:5)
testthat::expect_equal(get_delta_flex(d),1)
d2 <- data.frame(x = c(1,3:5))
testthat::expect_equal(get_delta_flex(d2),2)
})
testthat::test_that("test get_delta_nn", {
df_big <- data.frame(x = rnorm(5000),
y = rnorm(5000))
mm_delta_nn <- get_delta_nn(df_big)
#mm_delta_split <- get_delta_large(df_big)
mm_delta_dist <- get_delta_simple(as.matrix(dist(df_big)))
mm_delta_simple <- get_delta_dist(dist(df_big))
testthat::expect_equal(mm_delta_nn, mm_delta_simple)
#testthat::expect_equal(mm_delta_nn, mm_delta_dist)
#testthat::expect_equal(mm_delta_nn, mm_delta_split)
d <- data.frame(x = 1:5)
testthat::expect_equal(get_delta_nn(d),1)
d2 <- data.frame(x = c(1,3:5))
testthat::expect_equal(get_delta_nn(d2),2)
})
testthat::test_that("test distdex, basic",{
test <- rnorm(5)
d <- dist(test)
dmat <- as.matrix(d)
for (i in 1:4){
for (j in (i+1):5){
id <- distdex(i, j, n = 5)
testthat::expect_equal(dmat[i,j], d[id])
}
}
# "errors"
testthat::expect_equal(distdex(i = 5, j = 4, n = 10),
numeric(0))
testthat::expect_equal(distdex(i = 2, j = 4, n = 3),
numeric(0))
})
testthat::test_that("test maxmin_inner_old, basic", {
df_row_e <- data.frame(x = 1:5, y = 1:5)
df_col_e <- data.frame(x= 1:5)
testthat::expect_error(maxmin_inner_old(df_row_e, df_col_e))
df_row <- data.frame(x = 1:5)
df_col <- data.frame(x = 2:6)
testthat::expect_equal(maxmin_inner_old(df_row, df_col),1)
testthat::expect_equal(maxmin_inner_old(df_row, df_row),0)
})
testthat::test_that("test maxmin_inner, basic", {
df_row_e <- data.frame(x = 1:5, y = 1:5)
df_col_e <- data.frame(x= 1:5)
testthat::expect_error(maxmin_inner(df_row_e, df_col_e))
df_row <- data.frame(x = 1:5)
df_col <- data.frame(x = 2:6)
testthat::expect_equal(maxmin_inner(df_row, df_col, only_val = T),1)
testthat::expect_equal(maxmin_inner(df_row, df_col, only_val = F)[[1]],1)
testthat::expect_equal(maxmin_inner(df_row, df_col, only_val = F)[[2]],
matrix(c(1,0,0,0,0), ncol = 1))
testthat::expect_equal(maxmin_inner(df_row, df_row, only_val = T),0)
testthat::expect_equal(maxmin_inner(df_row, df_row, only_val = F)[[1]],0)
testthat::expect_equal(maxmin_inner(df_row, df_row, only_val = F)[[2]],
matrix(c(0,0,0,0,0), ncol = 1))
})
testthat::test_that("test maxmin_distance_vector_old, basic", {
df_row <- data.frame(x = 1:5)
df_col <- data.frame(x = 2:6)
sim_df <- df_col %>% mutate(id = 1) %>%
rbind(df_row %>% mutate(id = 2)) %>%
dplyr::group_by(id)
df_out <- maxmin_distance_vector_old(df_row,
sim_df,
data_column_names = c("x"))
testthat::expect_equivalent(df_out, data.frame(id = 1:2,
maxmin_dist = c(1,0)))
})
testthat::test_that("test maxmin_distance_vector, basic", {
df_row <- data.frame(x = 1:5)
df_col <- data.frame(x = 2:6)
sim_df <- df_col %>% mutate(id = 2) %>%
rbind(df_row %>% mutate(id = 1)) %>%
dplyr::group_by(id)
df_out <- maxmin_distance_vector(df_row,
sim_df,
data_column_names = c("x"))
testthat::expect_equivalent(df_out, data.frame(id = 2:1,
maxmin_dist = c(1,0)))
mm_info <- maxmin_distance_vector(df_row,
sim_df,
data_column_names = c("x"),
.all_info = T)
testthat::expect_equivalent(df_out[2:1,], mm_info[[1]]) # ordered differently
testthat::expect_equivalent(mm_info[[2]],
data.frame(cbind(c(1,2),
matrix(c(0,0,0,0,0,
1,0,0,0,0),
nrow = 2, byrow = T))))
})
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