## This file contains code taken from dplyr. The license and copyright is:
## The MIT License (MIT)
## =====================
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## obtaining a copy of this software and associated documentation
## files (the “Software”), to deal in the Software without
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## copies of the Software, and to permit persons to whom the
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## The above copyright notice and this permission notice shall be
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context("Sample")
test_that("grouped sample respects weight", {
df2 <- tibble::tibble(
x = rep(1:2, 100),
y = rep(c(0, 1), 100),
g = rep(1:2, each = 100)
)
grp <- df2 %>% dplyr::group_by(g)
# error message from base R
expect_error(sample_n(grp, nrow(df2) / 2, weight = y))
expect_equal(sample_n(grp, 1, weight = y)$x, c(2, 2))
# error message from base R
expect_error(sample_frac(grp, 1, weight = y))
expect_equal(sample_frac(grp, 0.5, weight = y)$x, rep(2, nrow(df2) / 2))
})
test_that("grouped sample accepts NULL weight from variable (for saeSim)", {
df <- tibble::tibble(
x = rep(1:2, 10),
y = rep(c(0, 1), 10),
g = rep(1:2, each = 10)
)
weight <- NULL
expect_error(sample_n(df, nrow(df), weight = weight), NA)
expect_error(sample_frac(df, weight = weight), NA)
grp <- df %>% dplyr::group_by(g)
expect_error(sample_n(grp, nrow(df) / 2, weight = weight), NA)
expect_error(sample_frac(grp, weight = weight), NA)
})
test_that("sample_n and sample_frac can call n() (#3413)", {
df <- tibble::tibble(
x = rep(1:2, 10),
y = rep(c(0, 1), 10),
g = rep(1:2, each = 10)
)
gdf <- dplyr::group_by(df, g)
expect_equal(sample_n(df, dplyr::n()), df)
expect_equal(sample_n(gdf, dplyr::n()), gdf)
expect_equal(nrow(sample_n(df, dplyr::n()-2L)), nrow(df)-2)
expect_equal(nrow(sample_n(gdf, dplyr::n()-2L)), nrow(df)-4)
})
test_that("sample_n and sample_frac handles lazy grouped data frames (#3380)", {
df1 <- data.frame(x = 1:10, y = rep(1:2, each=5))
df2 <- data.frame(x = 6:15, z = 1:10)
res <- df1 %>% dplyr::group_by(y) %>% dplyr::anti_join(df2, by="x") %>% sample_n(1)
expect_equal(nrow(res), 1L)
res <- df1 %>% dplyr::group_by(y) %>% dplyr::anti_join(df2, by="x") %>% sample_frac(0.2)
expect_equal(nrow(res), 1L)
})
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