test_that( "works as expected", {
eps <- if (capabilities("long.double"))
sqrt(.Machine$double.eps) else
0.1
expect_equal(
sumnum( iris, na.rm = TRUE ),
dplyr::summarize_at( iris, c( 'Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width' ), list(sum) ),
tolerance = .0001
)
expect_equal(
sumnum( dplyr::group_by( iris, Species ), do.fun = sum, na.rm = TRUE ),
dplyr::summarize_at( dplyr::group_by( iris, Species ), c( 'Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width' ), list(sum) ),
tolerance = .0001
)
# round to prevent noLD errors.
dt = iris
for(i in 1:4) dt[[i]] = round(dt[[i]]*100,0)
rm(i)
expect_equal(
sumnum( dplyr::group_by( dt, Species ), except = 'Sepal.Length' ),
dplyr::summarize_at( dplyr::group_by( dt, Species ), c( 'Sepal.Width', 'Petal.Length', 'Petal.Width' ), list(sum) ),
tolerance = .01
)
# fails noLD:
expect_equal(
sumnum( dplyr::group_by( dt, Species ), except = 1 ),
dplyr::summarize_at( dplyr::group_by( dt, Species ), c( 'Sepal.Width', 'Petal.Length', 'Petal.Width' ), list(sum) ),
tolerance = .01
)
# fails noLD:
expect_equal(
sumnum( dplyr::group_by( dt, Species ), except = c( TRUE, FALSE, FALSE, FALSE ) ),
dplyr::summarize_at( dplyr::group_by( dt, Species ), c( 'Sepal.Width', 'Petal.Length', 'Petal.Width' ),list(sum) ),
tolerance = .01
)
})
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