Nothing
test_that("Test suite aac.R",{
x_c <- sparsetable(
i = matrix(letters[c(
1,1,1,2,2,2,3,3,3,3,3,
1,2,3,1,2,3,1,1,2,2,3,
3,2,3,2,3,2,1,3,1,2,3
)], ncol=3,dimnames=list(NULL,c("Jan","Feb","Mar"))),
v = c(8,6,16,21,15,9,11,3,15,3,13))
x <- x_c
expect_true(is.sparsetable(x))
expect_true(is.sparsetable(x[x>20]))
expect_true(x == x)
expect_false(x != x)
expect_true(x+x == 2*x)
expect_true(x+x == x*2)
expect_true(x+x == sparsetable(index(x),values(x)*2))
expect_true(is.empty(x-x))
expect_true(all(dim(as.array(x-x))==0))
expect_false(x == x*0)
expect_false(x == 0*x)
expect_true(x != 0*x)
expect_true(sum(x_c == 3) == 2)
expect_true(all(xor(x_c == 3, x_c != 3)))
expect_error(names(x))
expect_true(nterms(x) == 11)
expect_true(all(dim(x) == 3))
expect_true(as.sparsetable(as.array(x)) == x)
expect_output(print(x))
expect_output(print(x*0))
expect_error(1/x)
expect_error(x*x)
expect_error(x^x)
expect_error(x^6)
expect_error(6^x)
x['a','a','c'] <- 100
expect_true(x == sparsetable(
matrix(letters[c(1,1,1,2,2,2,3,3,3,3,3,1,2,3,1,2,3,1,1,2,2,3,3,2,3,2,3,2,1,3,1,2,3)],11,3),
c(100,6,16,21,15,9,11,3,15,3,13))
)
expect_false(sparsetable_equality(
M1 = matrix(letters[1:9],3,3),
d1 = 1:3,
M2 = index(x_c),
d2 = c(100,6,16,21,15,9,11,3,15,3,13))
)
x['a','a','c'] <- 0
expect_true(
x == sparsetable(
matrix(letters[c(
1, 1, 2, 2, 2, 3, 3, 3, 3, 3,
2, 3, 1, 2, 3, 1, 1, 2, 2, 3,
2, 3, 2, 3, 2, 1, 3, 1, 2, 3 )],10,3), c(
6,16,21,15, 9,11, 3,15, 3,13 ))
)
x <- x_c
expect_true(as.frab(x) ==
frab(c(a_a_c = 8, a_b_b = 6, a_c_c = 16, b_a_b = 21,
b_b_c = 15, b_c_b = 9, c_a_a = 11, c_a_c = 3,
c_b_a = 15, c_b_b = 3, c_c_c = 13)))
options("print_2dsparsetables_as_matrices" = TRUE)
expect_output(print(sparsetable(
matrix(c("a", "a", "b", "b", "b", "c", "c", "d", "e", "e",
"e", "f", "A", "E", "B", "C", "D", "B", "D", "D", "A", "D", "E",
"C"), 12, 2, dimnames = list(NULL, c("foo", "bar"))),
1:12)
))
options("print_2dsparsetables_as_matrices" = FALSE)
expect_output(print(sparsetable(
matrix(c("a", "a", "b", "b", "b", "c", "c", "d", "e", "e",
"e", "f", "A", "E", "B", "C", "D", "B", "D", "D", "A", "D", "E",
"C"), 12, 2, dimnames = list(NULL, c("foo", "bar"))),
1:12)
))
options("print_2dsparsetables_as_matrices" = NULL)
I <- index(x)
colnames(I) <- NULL
expect_output(print(sparsetable(I,1:11)))
expect_output(print(sparsetable(matrix(letters[1:12],4,3),1)))
expect_true(as.sparsetable(frab(c(a=1,b=2,c=3))) == sparsetable(cbind(letters[1:3]),1:3))
expect_true(as.sparsetable(table(data.frame(fish=letters[1:4],chips=LETTERS[4:1]))) == sparsetable(matrix(c("a","D","b","C","c","B","d","A"),byrow=TRUE,ncol=2)))
expect_error(x*(1:3))
expect_error((1:3)*x)
expect_false(x == x*2)
expect_false(x == rspar2())
x <- x_c
x['x','y','a'] <- 99
expect_false(x == x_c)
expect_true(x['x','y','a'] == 99)
# xpc = 'x plus zero'
xpz <-sparsetable( # the 10,10,10 == j,j,j entry is 77-77==0
i=matrix(letters[c(
1,1,1,2,2,2,3,3,10,3,3,3,10,
1,2,3,1,2,3,1,1,10,2,2,3,10,
3,2,3,2,3,2,1,3,10,1,2,3,10
)], ncol=3, dimnames=list(NULL,c("Jan","Feb","Mar"))),
v=c(8,6,16,21,15,9,11,3,77,15,3,13,-77))
expect_true(x_c == xpz)
jj <-sparsetable(
i=matrix(letters[c(
1,1,1,
1,2,3,
3,9,3
)], ncol=3, dimnames=list(NULL,c("Jan","Feb","Mar"))),
v=c(77,78,79))
xpz[] <- jj
expect_true(xpz == sparsetable(
i = matrix(c(
"a", "a", "a", "a", "b", "b", "b", "c", "c", "c", "c", "c",
"a", "b", "b", "c", "a", "b", "c", "a", "a", "b", "b", "c",
"c", "b", "i", "c", "b", "c", "b", "a", "c", "a", "b", "c"
),12, 3),
v = c(77, 6, 78, 79, 21, 15, 9, 11, 3, 15, 3, 13))
)
x <- x_c
x[index(x)[1:4,]] <- 0
expect_false(x == x_c)
expect_false(x_c == x)
x['c','a','c'] <- 334
expect_false(x == x_c)
expect_false(x_c == x)
xas <- asum(x_c,"Feb")
xas_correct <- sparsetable(matrix(
c("a", "a", "b", "b", "c", "c", "c",
"b", "c", "b", "c", "a", "b", "c"
), 7,2, dimnames = list(NULL, c("Jan", "Mar"))), c(6, 24, 30, 15, 26, 3, 16))
expect_true(xas == xas_correct)
xas <- asum(x_c,c(FALSE,TRUE,FALSE))
xas_correct <- sparsetable(matrix(
c("a", "a", "b", "b", "c", "c", "c",
"b", "c", "b", "c", "a", "b", "c"
), 7,2, dimnames = list(NULL, c("Jan", "Mar"))), c(6, 24, 30, 15, 26, 3, 16))
expect_true(xas == xas_correct)
x <- x_c
expect_true(all(x[x > 9] > 9))
expect_true(all(x[x < 9] < 9))
expect_true(all(x[9 > x] < 9))
expect_true(all(x[9 < x] > 9))
expect_true(all(9 < x[x > 9]))
expect_true(all(9 > x[x < 9]))
expect_true(all(9 > x[9 > x]))
expect_true(all(9 < x[9 < x]))
expect_true(all(x[x >= 9] >= 9))
expect_true(all(x[x <= 9] <= 9))
expect_true(all(x[9 >= x] <= 9))
expect_true(all(x[9 <= x] >= 9))
expect_true(all(9 <= x[x >= 9]))
expect_true(all(9 >= x[x <= 9]))
expect_true(all(9 >= x[9 >= x]))
expect_true(all(9 <= x[9 <= x]))
expect_true(all(x[x == 9] == 9))
expect_true(all(x[9 == x] == 9))
expect_true(all(9 == x[x == 9]))
expect_true(all(9 == x[9 == x]))
expect_true(all(x[which(x > 9)] > 9))
expect_true(all(x[which(x < 9)] < 9))
expect_true(all(x[which(9 > x)] < 9))
expect_true(all(x[which(9 < x)] > 9))
expect_true(all(9 < x[which(x > 9)]))
expect_true(all(9 > x[which(x < 9)]))
expect_true(all(9 > x[which(9 > x)]))
expect_true(all(9 < x[which(9 < x)]))
expect_true(all(x[which(x >= 9)] >= 9))
expect_true(all(x[which(x <= 9)] <= 9))
expect_true(all(x[which(9 >= x)] <= 9))
expect_true(all(x[which(9 <= x)] >= 9))
expect_true(all(9 <= x[which(x >= 9)]))
expect_true(all(9 >= x[which(x <= 9)]))
expect_true(all(9 >= x[which(9 >= x)]))
expect_true(all(9 <= x[which(9 <= x)]))
expect_true(all(x[which(x == 9)] == 9))
expect_true(all(x[which(9 == x)] == 9))
expect_true(all(9 == x[which(x == 9)]))
expect_true(all(9 == x[which(9 == x)]))
expect_true(all(x[index(x)[c(1,3,5,7),]] %in% c(8,11,15,16)))
x <- x_c
expect_silent(jjx <- x[which(x>9)])
expect_true(all(jjx > 9))
x <- x_c
expect_silent(jjx <- x[values(x) > 9])
expect_true(all(jjx > 9))
x <- x_c
expect_silent(x[which(x>9)] <- 0)
expect_true(all(x<=9))
x <- x_c
expect_silent(x[values(x) >= 9] <- 8)
expect_true(all(x <= 8))
x <- x_c
expect_error(x[which(x<8)] <- values(x)[x<8] + 333333)
x <- x_c
expect_error(x[] <- seq_len(nterms(x)))
x <- x_c
I <- matrix("a",3,3)
diag(I) <- "b"
S <- sparsetable(I,777)
expect_warning(x[S] <- 1:3)
expect_true(x == sparsetable(matrix(c(
"a","a","a","a","a","b","b","b","b","c","c","c","c","c",
"a","a","b","b","c","a","a","b","c","a","a","b","b","c",
"b","c","a","b","c","a","b","c","b","a","c","a","b","c"
),14,3),c(1,8,2,6,16,3,21,15,9,11,3,15,3, 13)))
x <- x_c
expect_error(x[list('a','a','x')] <- 3333)
expect_true(drop(sparsetable(matrix(letters[1:3],3),1:3)) == frab(c(a=1,b=2,c=3)))
x <- x_c
expect_true(asum(x,"Feb") == asum_exclude_sparsetable(x,c("Jan","Mar")))
x <- x_c
jj <- c(TRUE,FALSE,TRUE)
expect_true(asum(x, jj) == asum_exclude_sparsetable(x,!jj))
expect_true(asum(x,!jj) == asum_exclude_sparsetable(x, jj))
expect_true(asum(x,c(2 )) == asum_exclude_sparsetable(x,c(1,3)))
expect_true(asum(x,c(1,3)) == asum_exclude_sparsetable(x,c(2 )))
})
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