tests/testthat/test-verbs.R

In edwindj/chunked: Chunkwise Text-File Processing for 'dplyr'

context("verbs")
source("util.R")

tbl_women <- get_tbl_women()

describe("mutate()", {

  it("can add a new column", {
    tbl_women %>% mutate(a = 1)

    expect_equal( tbl_women %>% mutate(a = 1) %>% as.data.frame
                , women %>% mutate(a = 1)                 )
  })

  it("can add a new column", {
    expect_equal( tbl_women %>% mutate(h_m = height*2.54/100) %>% as.data.frame
                , women %>% mutate(h_m = height*2.54/100))
  })
})

describe("select()", {
  it("select a column", {
    expect_equal( tbl_women %>% select(W=weight) %>% as.data.frame
                , women %>% select(W=weight)            )
  })
})

describe("filter()", {
  it("can filter rows", {
    expect_equal( tbl_women %>% filter(height > 65) %>% as.data.frame
                , women %>% filter(height > 65))
  })
})

describe("rename()",{
  it("can rename columns",{
    expect_equal( tbl_women %>% rename(W=weight) %>% as.data.frame
                  , women %>% rename(W=weight)            )
  })
})

describe("groups()",{
  ir <- get_tbl_iris() %>% group_by(Species)
  expect_warning(g <- groups(ir))
  expect_equal(g, list(quote(Species)))
})


describe("transmute()", {

  it("can add a new column", {
    expect_equal( tbl_women %>% transmute(a = 1) %>% as.data.frame
                , women %>% transmute(a = 1)                 )
  })

  it("can add a new column", {
    expect_equal( tbl_women %>% transmute(h_m = height*2.54/100) %>% as.data.frame
                , women %>% transmute(h_m = height*2.54/100))
  })
})

describe("do()", {
  tbl_women <- get_tbl_women()
  expect_equal(tbl_women %>% do(2 * .) %>% as.data.frame,
               women %>% do(2 * . )
              )
})

describe("tbl_vars",{
  expect_equal(tbl_vars(tbl_women), tbl_vars(women))
})

describe("left_join",{
  women_half <- women %>% filter(height < 60) %>% mutate(count=1:n())
  expect_equal( left_join(tbl_women, women_half, by="height") %>% as.data.frame()
              ,  left_join(women, women_half, by="height")
              )
})

describe("inner_join",{
  women_half <- women %>% filter(height < 60) %>% mutate(count=1:n())
  expect_equal( inner_join(tbl_women, women_half, by="height") %>% as.data.frame()
              , inner_join(women, women_half, by="height")
  )
})

describe("semi_join",{
  women_half <- women %>% filter(height < 60) %>% mutate(count=1:n())
  expect_equal( semi_join(tbl_women, women_half, by="height") %>% as.data.frame()
              , semi_join(women, women_half, by="height")
  )
})

describe("anti_join",{
  women_half <- women %>% filter(height < 60) %>% mutate(count=1:n())
  expect_equal( anti_join(tbl_women, women_half, by="height") %>% as.data.frame() %>% arrange(height)
              , anti_join(women, women_half, by="height") %>% arrange(height)
  )
})

describe("summarise",{
  expect_warning(
    s <- summarise(tbl_women, h=mean(height), w = mean(weight), n=n()) %>% as.data.frame()
  )
  expect_equal(nrow(s), 3)
  expect_equal(weighted.mean(s$h, s$n), mean(women$height))
  expect_equal(weighted.mean(s$w, s$n), mean(women$weight))
})

describe("group_by",{
  ir <- get_tbl_iris() %>% group_by(Species)
  expect_warning(m <- ir %>% summarise(m = mean(Sepal.Width), n=n()) %>% as.data.frame())
  s <- m %>% group_by(Species) %>% summarise(m = weighted.mean(m, n))
  #expect_equivalent(s, iris %>% group_by(Species) %>%  summarise(m=mean(Sepal.Width)))
})