Nothing
tests/testthat/testneatRanges_expand.R
In neatRanges: Tidy Up Date/Time Ranges
################################################
#
# Test script for neatRanges - expand_*
#
# Last updated on 25/02/2020
#
################################################
context("expand_dates")
context("expand_times")
test_that("expand_dates is functional", {
df <- data.frame(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01", "2019-01-01", "2020-01-01"),
end = c("2018-01-05", "2019-01-07", "2020-01-08"), stringsAsFactors = TRUE
)
output_date <-
structure(
list(
id = structure(
c(
1L,
1L,
1L,
1L,
1L,
2L,
2L,
2L,
2L,
2L,
2L,
2L,
3L,
3L,
3L,
3L,
3L,
3L,
3L,
3L
),
.Label = c("1111",
"2222", "3333"),
class = "factor"
),
gender = structure(
c(
2L,
2L,
2L,
2L,
2L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L
),
.Label = c("F", "M"),
class = "factor"
),
exp_seqs = structure(
c(
17532,
17533,
17534,
17535,
17536,
17897,
17898,
17899,
17900,
17901,
17902,
17903,
18262,
18263,
18264,
18265,
18266,
18267,
18268,
18269
),
class = "Date"
)
),
row.names = c(NA,-20L),
class = "data.frame"
)
df_dates <- expand_dates(df, "start", "end", "exp_seqs", vars_to_keep = c("id", "gender"))
expect_equal(output_date, df_dates)
}
)
test_that("expand_dates is functional with data.tables", {
df <- data.table(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01", "2019-01-01", "2020-01-01"),
end = c("2018-01-05", "2019-01-07", "2020-01-08")
)
output_date <-
structure(
list(
id = c(
"1111",
"1111",
"1111",
"1111",
"1111",
"2222",
"2222",
"2222",
"2222",
"2222",
"2222",
"2222",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333"
),
gender = c(
"M",
"M",
"M",
"M",
"M",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F"
),
exp_seqs = structure(
c(
17532,
17533,
17534,
17535,
17536,
17897,
17898,
17899,
17900,
17901,
17902,
17903,
18262,
18263,
18264,
18265,
18266,
18267,
18268,
18269
),
class = "Date"
)
),
row.names = c(NA,-20L),
class = c("data.table",
"data.frame")
)
df_dates <- expand_dates(df, "start", "end", "exp_seqs", vars_to_keep = c("id", "gender"))
expect_equal(output_date, df_dates)
}
)
test_that("expand_times is functional", {
df <- data.frame(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01 15:00:00", "2019-01-01 14:00:00", "2020-01-01 19:00:00"),
end = c("2018-01-01 18:30:00", "2019-01-01 17:30:00", "2020-01-02 02:00:00"), stringsAsFactors = TRUE
)
output_time <-
structure(
list(
id = structure(
c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("1111", "2222", "3333"),
class = "factor"
),
gender = structure(
c(2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
.Label = c("F",
"M"),
class = "factor"
),
Expanded = structure(
c(
1514818800,
1514822400,
1514826000,
1514829600,
1546351200,
1546354800,
1546358400,
1546362000,
1577905200,
1577908800,
1577912400,
1577916000,
1577919600,
1577923200,
1577926800,
1577930400
),
class = c("POSIXct", "POSIXt"),
tzone = "UTC"
)
),
row.names = c(NA,-16L),
class = "data.frame"
)
df_times <- expand_times(df, "start", "end", vars_to_keep = c("id", "gender"))
expect_equal(output_time, df_times)
}
)
test_that("expand_times is functional with data.tables", {
df <- data.table(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01 15:00:00", "2019-01-01 14:00:00", "2020-01-01 19:00:00"),
end = c("2018-01-01 18:30:00", "2019-01-01 17:30:00", "2020-01-02 02:00:00")
)
output_time <-
structure(
list(
id = c(
"1111",
"1111",
"1111",
"1111",
"2222",
"2222",
"2222",
"2222",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333"
),
gender = c(
"M",
"M",
"M",
"M",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F"
),
Expanded = structure(
c(
1514818800,
1514822400,
1514826000,
1514829600,
1546351200,
1546354800,
1546358400,
1546362000,
1577905200,
1577908800,
1577912400,
1577916000,
1577919600,
1577923200,
1577926800,
1577930400
),
class = c("POSIXct", "POSIXt"),
tzone = "UTC"
)
),
row.names = c(NA,-16L),
class = c("data.table",
"data.frame")
)
df_times <- expand_times(df, "start", "end", vars_to_keep = c("id", "gender"))
expect_equal(output_time, df_times)
}
)
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neatRanges documentation built on Oct. 18, 2022, 9:08 a.m.
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################################################
#
# Test script for neatRanges - expand_*
#
# Last updated on 25/02/2020
#
################################################
context("expand_dates")
context("expand_times")
test_that("expand_dates is functional", {
df <- data.frame(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01", "2019-01-01", "2020-01-01"),
end = c("2018-01-05", "2019-01-07", "2020-01-08"), stringsAsFactors = TRUE
)
output_date <-
structure(
list(
id = structure(
c(
1L,
1L,
1L,
1L,
1L,
2L,
2L,
2L,
2L,
2L,
2L,
2L,
3L,
3L,
3L,
3L,
3L,
3L,
3L,
3L
),
.Label = c("1111",
"2222", "3333"),
class = "factor"
),
gender = structure(
c(
2L,
2L,
2L,
2L,
2L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L,
1L
),
.Label = c("F", "M"),
class = "factor"
),
exp_seqs = structure(
c(
17532,
17533,
17534,
17535,
17536,
17897,
17898,
17899,
17900,
17901,
17902,
17903,
18262,
18263,
18264,
18265,
18266,
18267,
18268,
18269
),
class = "Date"
)
),
row.names = c(NA,-20L),
class = "data.frame"
)
df_dates <- expand_dates(df, "start", "end", "exp_seqs", vars_to_keep = c("id", "gender"))
expect_equal(output_date, df_dates)
}
)
test_that("expand_dates is functional with data.tables", {
df <- data.table(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01", "2019-01-01", "2020-01-01"),
end = c("2018-01-05", "2019-01-07", "2020-01-08")
)
output_date <-
structure(
list(
id = c(
"1111",
"1111",
"1111",
"1111",
"1111",
"2222",
"2222",
"2222",
"2222",
"2222",
"2222",
"2222",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333"
),
gender = c(
"M",
"M",
"M",
"M",
"M",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F"
),
exp_seqs = structure(
c(
17532,
17533,
17534,
17535,
17536,
17897,
17898,
17899,
17900,
17901,
17902,
17903,
18262,
18263,
18264,
18265,
18266,
18267,
18268,
18269
),
class = "Date"
)
),
row.names = c(NA,-20L),
class = c("data.table",
"data.frame")
)
df_dates <- expand_dates(df, "start", "end", "exp_seqs", vars_to_keep = c("id", "gender"))
expect_equal(output_date, df_dates)
}
)
test_that("expand_times is functional", {
df <- data.frame(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01 15:00:00", "2019-01-01 14:00:00", "2020-01-01 19:00:00"),
end = c("2018-01-01 18:30:00", "2019-01-01 17:30:00", "2020-01-02 02:00:00"), stringsAsFactors = TRUE
)
output_time <-
structure(
list(
id = structure(
c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("1111", "2222", "3333"),
class = "factor"
),
gender = structure(
c(2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
.Label = c("F",
"M"),
class = "factor"
),
Expanded = structure(
c(
1514818800,
1514822400,
1514826000,
1514829600,
1546351200,
1546354800,
1546358400,
1546362000,
1577905200,
1577908800,
1577912400,
1577916000,
1577919600,
1577923200,
1577926800,
1577930400
),
class = c("POSIXct", "POSIXt"),
tzone = "UTC"
)
),
row.names = c(NA,-16L),
class = "data.frame"
)
df_times <- expand_times(df, "start", "end", vars_to_keep = c("id", "gender"))
expect_equal(output_time, df_times)
}
)
test_that("expand_times is functional with data.tables", {
df <- data.table(
id = c("1111", "2222", "3333"),
gender = c("M", "F", "F"),
start = c("2018-01-01 15:00:00", "2019-01-01 14:00:00", "2020-01-01 19:00:00"),
end = c("2018-01-01 18:30:00", "2019-01-01 17:30:00", "2020-01-02 02:00:00")
)
output_time <-
structure(
list(
id = c(
"1111",
"1111",
"1111",
"1111",
"2222",
"2222",
"2222",
"2222",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333",
"3333"
),
gender = c(
"M",
"M",
"M",
"M",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F"
),
Expanded = structure(
c(
1514818800,
1514822400,
1514826000,
1514829600,
1546351200,
1546354800,
1546358400,
1546362000,
1577905200,
1577908800,
1577912400,
1577916000,
1577919600,
1577923200,
1577926800,
1577930400
),
class = c("POSIXct", "POSIXt"),
tzone = "UTC"
)
),
row.names = c(NA,-16L),
class = c("data.table",
"data.frame")
)
df_times <- expand_times(df, "start", "end", vars_to_keep = c("id", "gender"))
expect_equal(output_time, df_times)
}
)
Try the neatRanges package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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