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mattdowle merged 2 commits into from
Sep 5, 2019
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renamed coalesce to fcoalesce #3827

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69522a5
renamed coalesce to fcoalesce
mattdowle Sep 5, 2019
577e126
unrelated non-package change to revdep.R in this PR to trigger a new …
mattdowle Sep 5, 2019
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2 changes: 1 addition & 1 deletion NAMESPACE
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Expand Up @@ -55,7 +55,7 @@ export(frollapply)
export(nafill)
export(setnafill)
export(.Last.updated)
export(coalesce)
export(fcoalesce)

S3method("[", data.table)
S3method("[<-", data.table)
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8 changes: 4 additions & 4 deletions NEWS.md
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Expand Up @@ -115,24 +115,24 @@
# 0.357 0.763 0.292 # now
```

18. New function `coalesce(...)` has been written in C, and is multithreaded for `numeric` and `factor`. It replaces missing values according to a prioritized list of candidates (as per SQL COALESCE, `dplyr::coalesce`, and `hutils::coalesce`), [#3424](https://github.com/Rdatatable/data.table/issues/3424). It accepts any number of vectors in several forms. For example, given three vectors `x`, `y`, and `z`, where each `NA` in `x` is to be replaced by the corresponding value in `y` if that is non-NA, else the corresponding value in `z`, the following equivalent forms are all accepted: `coalesce(x,y,z)`, `coalesce(x,list(y,z))`, and `coalesce(list(x,y,z))`.
18. New function `fcoalesce(...)` has been written in C, and is multithreaded for `numeric` and `factor`. It replaces missing values according to a prioritized list of candidates (as per SQL COALESCE, `dplyr::coalesce`, and `hutils::coalesce`), [#3424](https://github.com/Rdatatable/data.table/issues/3424). It accepts any number of vectors in several forms. For example, given three vectors `x`, `y`, and `z`, where each `NA` in `x` is to be replaced by the corresponding value in `y` if that is non-NA, else the corresponding value in `z`, the following equivalent forms are all accepted: `fcoalesce(x,y,z)`, `fcoalesce(x,list(y,z))`, and `fcoalesce(list(x,y,z))`.

```R
# default 4 threads on a laptop with 16GB RAM and 8 logical CPU
N = 100e6
x = replicate(5, {x=sample(N); x[sample(N, N/2)]=NA; x}, simplify=FALSE) # 2GB
y1 = do.call(dplyr::coalesce, x))
y2 = do.call(hutils::coalesce, x))
y3 = do.call(data.table::coalesce, x))
y3 = do.call(data.table::fcoalesce, x))
# user system elapsed (seconds)
# 4.935 1.876 6.810 # dplyr::coalesce
# 3.122 0.831 3.956 # hutils::coalesce
# 0.915 0.099 0.379 # data.table::coalesce
# 0.915 0.099 0.379 # data.table::fcoalesce
identical(y1,y2) && identical(y1,y3)
# TRUE
```

19. Type `complex` is now supported by `setkey`, `setorder`, `:=`, `by=`, `keyby=`, `shift`, `dcast`, `frank`, `rowid`, `rleid`, `CJ`, `coalesce`, `unique`, and `uniqueN`, [#3690](https://github.com/Rdatatable/data.table/issues/3690). Thanks to Gareth Ward and Elio Campitelli for their reports and input. Sorting `complex` is achieved the same way as base R; i.e., first by the real part then by the imaginary part (as if the `complex` column were two separate columns of `double`). There is no plan to support joining/merging on `complex` columns until a user demonstrates a need for that.
19. Type `complex` is now supported by `setkey`, `setorder`, `:=`, `by=`, `keyby=`, `shift`, `dcast`, `frank`, `rowid`, `rleid`, `CJ`, `fcoalesce`, `unique`, and `uniqueN`, [#3690](https://github.com/Rdatatable/data.table/issues/3690). Thanks to Gareth Ward and Elio Campitelli for their reports and input. Sorting `complex` is achieved the same way as base R; i.e., first by the real part then by the imaginary part (as if the `complex` column were two separate columns of `double`). There is no plan to support joining/merging on `complex` columns until a user demonstrates a need for that.

20. `setkey`, `[key]by=` and `on=` in verbose mode (`options(datatable.verbose=TRUE)`) now detect any columns inheriting from `Date` which are stored as 8 byte double, test if any fractions are present, and if not suggest using a 4 byte integer instead (such as `data.table::IDate`) to save space and time, [#1738](https://github.com/Rdatatable/data.table/issues/1738). In future this could be upgraded to `message` or `warning` depending on feedback.

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2 changes: 1 addition & 1 deletion R/wrappers.R
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Expand Up @@ -2,7 +2,7 @@
# Very small (e.g. one line) R functions that just call C.
# One file wrappers.R to avoid creating lots of small .R files.

coalesce = function(...) .Call(Ccoalesce, list(...), FALSE)
fcoalesce = function(...) .Call(Ccoalesce, list(...), FALSE)
setcoalesce = function(...) .Call(Ccoalesce, list(...), TRUE)

fifelse = function(test, yes, no, na=NA) .Call(CfifelseR, test, yes, no, na)
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150 changes: 75 additions & 75 deletions inst/tests/tests.Rraw
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Expand Up @@ -15147,7 +15147,7 @@ test(2059.3, is.list(L))
test(2059.4, rbindlist(L), data.table(A=1:6, B=7:12))
# does not retain customClass consistent with v1.12.2; for safety as its attributes likely aren't appropriate for the new object

# coalesce, #3424
# fcoalesce, #3424
bool = c(TRUE, NA, FALSE)
bool_val = c(TRUE, TRUE, FALSE)
int = c(1L, 2L, NA_integer_, 4L)
Expand All @@ -15167,102 +15167,102 @@ itime_val = as.ITime(int_val)
posix = as.POSIXct(int, origin="1970-01-01")
posix_val = as.POSIXct(int_val, origin="1970-01-01")
# singleton replacements
test(2060.001, coalesce(bool, TRUE), bool_val)
test(2060.002, coalesce(bool, NA, TRUE), bool_val)
test(2060.003, coalesce(int, 3L), int_val)
test(2060.004, coalesce(int, NA_integer_, 3L), int_val)
test(2060.005, coalesce(num, 3), num_val)
test(2060.006, coalesce(num, NA_real_, 3), num_val)
test(2060.007, coalesce(str, 'b'), str_val)
test(2060.008, coalesce(str, NA_character_, 'b'), str_val)
test(2060.009, coalesce(fkt, factor('b', levels = c('a', 'b'))), fkt_val)
test(2060.010, coalesce(fkt, factor(NA_integer_, levels=c("a","b")), factor('b', levels = c('a', 'b'))), fkt_val)
test(2060.011, coalesce(date, as.Date("1970-01-04")), date_val)
test(2060.012, coalesce(date, as.Date(NA), as.Date("1970-01-04")), date_val)
test(2060.013, coalesce(idate, as.IDate("1970-01-04")), idate_val)
test(2060.014, coalesce(idate, as.IDate(NA), as.IDate("1970-01-04")), idate_val)
test(2060.015, coalesce(itime, as.ITime(3L)), itime_val)
test(2060.016, coalesce(itime, as.ITime(NA), as.ITime(3L)), itime_val)
test(2060.017, coalesce(posix, as.POSIXct(3L, origin="1970-01-01")), posix_val)
test(2060.018, coalesce(posix, as.POSIXct(NA_integer_, origin="1970-01-01"), as.POSIXct(3L, origin="1970-01-01")), posix_val)
test(2060.001, fcoalesce(bool, TRUE), bool_val)
test(2060.002, fcoalesce(bool, NA, TRUE), bool_val)
test(2060.003, fcoalesce(int, 3L), int_val)
test(2060.004, fcoalesce(int, NA_integer_, 3L), int_val)
test(2060.005, fcoalesce(num, 3), num_val)
test(2060.006, fcoalesce(num, NA_real_, 3), num_val)
test(2060.007, fcoalesce(str, 'b'), str_val)
test(2060.008, fcoalesce(str, NA_character_, 'b'), str_val)
test(2060.009, fcoalesce(fkt, factor('b', levels = c('a', 'b'))), fkt_val)
test(2060.010, fcoalesce(fkt, factor(NA_integer_, levels=c("a","b")), factor('b', levels = c('a', 'b'))), fkt_val)
test(2060.011, fcoalesce(date, as.Date("1970-01-04")), date_val)
test(2060.012, fcoalesce(date, as.Date(NA), as.Date("1970-01-04")), date_val)
test(2060.013, fcoalesce(idate, as.IDate("1970-01-04")), idate_val)
test(2060.014, fcoalesce(idate, as.IDate(NA), as.IDate("1970-01-04")), idate_val)
test(2060.015, fcoalesce(itime, as.ITime(3L)), itime_val)
test(2060.016, fcoalesce(itime, as.ITime(NA), as.ITime(3L)), itime_val)
test(2060.017, fcoalesce(posix, as.POSIXct(3L, origin="1970-01-01")), posix_val)
test(2060.018, fcoalesce(posix, as.POSIXct(NA_integer_, origin="1970-01-01"), as.POSIXct(3L, origin="1970-01-01")), posix_val)
# vector replacements
test(2060.051, coalesce(bool, rep(TRUE, 3L)), bool_val)
test(2060.052, coalesce(bool, rep(NA, 3L), rep(TRUE, 3L)), bool_val)
test(2060.053, coalesce(int, rep(3L, 4L)), int_val)
test(2060.054, coalesce(int, rep(NA_integer_, 4L), rep(3L, 4L)), int_val)
test(2060.055, coalesce(num, rep(3, 4L)), num_val)
test(2060.056, coalesce(num, rep(NA_real_, 4L), rep(3, 4L)), num_val)
test(2060.057, coalesce(str, rep('b', 4L)), str_val)
test(2060.058, coalesce(str, rep(NA_character_, 4L), rep('b', 4L)), str_val)
test(2060.059, coalesce(fkt, factor(rep('b', 4L), levels=c('a', 'b'))), fkt_val)
test(2060.060, coalesce(fkt, factor(rep(NA_integer_, 4L), levels=c("a","b")), factor(rep('b', 4L), levels=c('a', 'b'))), fkt_val)
test(2060.061, coalesce(date, rep(as.Date("1970-01-04"), 4L)), date_val)
test(2060.062, coalesce(date, rep(as.Date(NA), 4L), rep(as.Date("1970-01-04"), 4L)), date_val)
test(2060.063, coalesce(idate, rep(as.IDate("1970-01-04"), 4L)), idate_val)
test(2060.064, coalesce(idate, rep(as.IDate(NA), 4L), rep(as.IDate("1970-01-04"), 4L)), idate_val)
test(2060.065, coalesce(itime, rep(as.ITime(3L), 4L)), itime_val)
test(2060.066, coalesce(itime, rep(as.ITime(NA), 4L), rep(as.ITime(3L), 4L)), itime_val)
test(2060.067, coalesce(posix, as.POSIXct(rep(3L, 4L), origin="1970-01-01")), posix_val)
test(2060.068, coalesce(posix, as.POSIXct(rep(NA_integer_, 4L), origin="1970-01-01"), as.POSIXct(rep(3L, 4L), origin="1970-01-01")), posix_val)
test(2060.101, coalesce(bool, list(NA, TRUE)), bool_val)
test(2060.051, fcoalesce(bool, rep(TRUE, 3L)), bool_val)
test(2060.052, fcoalesce(bool, rep(NA, 3L), rep(TRUE, 3L)), bool_val)
test(2060.053, fcoalesce(int, rep(3L, 4L)), int_val)
test(2060.054, fcoalesce(int, rep(NA_integer_, 4L), rep(3L, 4L)), int_val)
test(2060.055, fcoalesce(num, rep(3, 4L)), num_val)
test(2060.056, fcoalesce(num, rep(NA_real_, 4L), rep(3, 4L)), num_val)
test(2060.057, fcoalesce(str, rep('b', 4L)), str_val)
test(2060.058, fcoalesce(str, rep(NA_character_, 4L), rep('b', 4L)), str_val)
test(2060.059, fcoalesce(fkt, factor(rep('b', 4L), levels=c('a', 'b'))), fkt_val)
test(2060.060, fcoalesce(fkt, factor(rep(NA_integer_, 4L), levels=c("a","b")), factor(rep('b', 4L), levels=c('a', 'b'))), fkt_val)
test(2060.061, fcoalesce(date, rep(as.Date("1970-01-04"), 4L)), date_val)
test(2060.062, fcoalesce(date, rep(as.Date(NA), 4L), rep(as.Date("1970-01-04"), 4L)), date_val)
test(2060.063, fcoalesce(idate, rep(as.IDate("1970-01-04"), 4L)), idate_val)
test(2060.064, fcoalesce(idate, rep(as.IDate(NA), 4L), rep(as.IDate("1970-01-04"), 4L)), idate_val)
test(2060.065, fcoalesce(itime, rep(as.ITime(3L), 4L)), itime_val)
test(2060.066, fcoalesce(itime, rep(as.ITime(NA), 4L), rep(as.ITime(3L), 4L)), itime_val)
test(2060.067, fcoalesce(posix, as.POSIXct(rep(3L, 4L), origin="1970-01-01")), posix_val)
test(2060.068, fcoalesce(posix, as.POSIXct(rep(NA_integer_, 4L), origin="1970-01-01"), as.POSIXct(rep(3L, 4L), origin="1970-01-01")), posix_val)
test(2060.101, fcoalesce(bool, list(NA, TRUE)), bool_val)
# floating point extras
x = c(11L, NA, 13L, NA, 15L, NaN, NA, NA, NA)+0.1
y = c(NA, 12L, 5L, NA, NA, 16L, NaN, Inf, NA)+0.1
z = c(11L, NA, 1L, 14L, NA, 16L, 1L, 2L, NA)+0.1
test(2060.151, coalesce(x, y, z), ans<-c(11:15,NaN,NaN,Inf,NA)+0.1)
test(2060.152, coalesce(list(x, y, z)), ans)
test(2060.153, coalesce(x, list(y,z)), ans)
test(2060.154, coalesce(list(x)), x)
test(2060.151, fcoalesce(x, y, z), ans<-c(11:15,NaN,NaN,Inf,NA)+0.1)
test(2060.152, fcoalesce(list(x, y, z)), ans)
test(2060.153, fcoalesce(x, list(y,z)), ans)
test(2060.154, fcoalesce(list(x)), x)
test(2060.155, setcoalesce(list(x)), x)
test(2060.156, setcoalesce(list(x,y,z)), ans)
test(2060.157, x, ans) # setcoalesce updated the first item (x) by reference
# factor of different levels
x = factor(c('a','b',NA,NA,'b'))
y = factor(c('b','b','a',NA,'b'))
z = factor(c('a',NA,NA,'d','a'))
test(2060.180, coalesce(x, y, z), error="Item 3 is a factor but its levels are not identical to the first item's levels")
test(2060.180, fcoalesce(x, y, z), error="Item 3 is a factor but its levels are not identical to the first item's levels")
# edge cases/checks
test(2060.201, coalesce(bool), bool)
test(2060.202, coalesce(fkt), fkt)
test(2060.203, coalesce(bool, 1L), error='Item 2 is type integer but the first item is type logical. Please coerce before coalescing')
test(2060.204, coalesce(bool, NA_integer_), error='Item 2 is type integer but the first item is type logical.')
test(2060.205, coalesce(fkt, 1L), error='Item 1 is a factor but item 2 is not a factor. When factors are involved, all items must be factor')
test(2060.206, coalesce(num, 3L), error='Item 2 is type integer but the first item is type double')
test(2060.207, coalesce(int, 3), error='Item 2 is type double but the first item is type integer')
test(2060.208, coalesce(fkt, 'b'), error='Item 1 is a factor but item 2 is not a factor. When factors are involved, all items must be factor.')
test(2060.209, coalesce(str, factor('b')), error='Item 2 is a factor but item 1 is not a factor. When factors are involved, all items must be factor')
test(2060.212, coalesce(list(1), list(2)), error="The first argument is a list, data.table or data.frame. In this case there should be no other arguments provided.")
test(2060.213, coalesce(bool, c(TRUE, FALSE)), error="Item 2 is length 2 but the first item is length 3. Only singletons are recycled")
test(2060.214, coalesce(as.raw(0), as.raw(1)), error="Unsupported type: raw")
test(2060.215, coalesce(bool, list()), bool)
test(2060.216, coalesce(structure(c(1:2,NA,4L), class=c("a")), c(NA,NA,3L,4L)),, error="Item 2 has a different class than item 1")
test(2060.201, fcoalesce(bool), bool)
test(2060.202, fcoalesce(fkt), fkt)
test(2060.203, fcoalesce(bool, 1L), error='Item 2 is type integer but the first item is type logical. Please coerce before coalescing')
test(2060.204, fcoalesce(bool, NA_integer_), error='Item 2 is type integer but the first item is type logical.')
test(2060.205, fcoalesce(fkt, 1L), error='Item 1 is a factor but item 2 is not a factor. When factors are involved, all items must be factor')
test(2060.206, fcoalesce(num, 3L), error='Item 2 is type integer but the first item is type double')
test(2060.207, fcoalesce(int, 3), error='Item 2 is type double but the first item is type integer')
test(2060.208, fcoalesce(fkt, 'b'), error='Item 1 is a factor but item 2 is not a factor. When factors are involved, all items must be factor.')
test(2060.209, fcoalesce(str, factor('b')), error='Item 2 is a factor but item 1 is not a factor. When factors are involved, all items must be factor')
test(2060.212, fcoalesce(list(1), list(2)), error="The first argument is a list, data.table or data.frame. In this case there should be no other arguments provided.")
test(2060.213, fcoalesce(bool, c(TRUE, FALSE)), error="Item 2 is length 2 but the first item is length 3. Only singletons are recycled")
test(2060.214, fcoalesce(as.raw(0), as.raw(1)), error="Unsupported type: raw")
test(2060.215, fcoalesce(bool, list()), bool)
test(2060.216, fcoalesce(structure(c(1:2,NA,4L), class=c("a")), c(NA,NA,3L,4L)),, error="Item 2 has a different class than item 1")
# different classes of x arg #3660
x = c(11L, NA, 13L, NA, 15L, NA)
y = c(NA, 12L, 5L, NA, NA, NA)
z = c(11L, NA, 1L, 14L, NA, NA)
ans = c(11L,12L,13L,14L,15L,NA_integer_)
test(2060.250, coalesce(list(x, y, z)), ans)
test(2060.251, coalesce(data.frame(x, y, z)), ans)
test(2060.252, coalesce(data.table(x, y, z)), ans)
test(2060.250, fcoalesce(list(x, y, z)), ans)
test(2060.251, fcoalesce(data.frame(x, y, z)), ans)
test(2060.252, fcoalesce(data.table(x, y, z)), ans)
# integer64 tests
if (test_bit64) {
int64 = as.integer64(int)
int64_val = as.integer64(1:4)
test(2060.301, as.character(coalesce(int64, as.integer64(3))), as.character(int64_val)) # why as.character see nanotime tests below
test(2060.302, as.character(coalesce(int64, as.integer64(NA), as.integer64(3))), as.character(int64_val))
test(2060.303, as.character(coalesce(int64, as.integer64(rep(3, 4L)))), as.character(int64_val))
test(2060.304, coalesce(int64, 1), error='Item 2 has a different class than item 1')
test(2060.305, coalesce(int64, 1L), error = 'Item 2 is type integer but the first item is type double')
test(2060.301, as.character(fcoalesce(int64, as.integer64(3))), as.character(int64_val)) # why as.character see nanotime tests below
test(2060.302, as.character(fcoalesce(int64, as.integer64(NA), as.integer64(3))), as.character(int64_val))
test(2060.303, as.character(fcoalesce(int64, as.integer64(rep(3, 4L)))), as.character(int64_val))
test(2060.304, fcoalesce(int64, 1), error='Item 2 has a different class than item 1')
test(2060.305, fcoalesce(int64, 1L), error = 'Item 2 is type integer but the first item is type double')
}
# nanotime tests
if (test_nanotime) {
nt = nanotime(int)
nt_val = nanotime(1:4)
test(2060.401, as.character(coalesce(nt, nanotime(3L))), as.character(nt_val)) # as.character due to eddelbuettel/nanotime#46
test(2060.402, as.character(coalesce(nt, nanotime(NA), nanotime(3L))), as.character(nt_val))
test(2060.403, as.character(coalesce(nt, nanotime(rep(3, 4L)))), as.character(nt_val))
test(2060.404, coalesce(nt, 1), error='Item 2 has a different class than item 1')
test(2060.405, coalesce(nt, 1L), error = 'Item 2 is type integer but the first item is type double')
test(2060.401, as.character(fcoalesce(nt, nanotime(3L))), as.character(nt_val)) # as.character due to eddelbuettel/nanotime#46
test(2060.402, as.character(fcoalesce(nt, nanotime(NA), nanotime(3L))), as.character(nt_val))
test(2060.403, as.character(fcoalesce(nt, nanotime(rep(3, 4L)))), as.character(nt_val))
test(2060.404, fcoalesce(nt, 1), error='Item 2 has a different class than item 1')
test(2060.405, fcoalesce(nt, 1L), error = 'Item 2 is type integer but the first item is type double')
}
# setcoalesce
x = c(11L, NA, 13L, NA, 15L, NA)
Expand All @@ -15279,19 +15279,19 @@ setcoalesce(xx, list())
test(2060.503, xx_addr, address(xx))
test(2060.504, xx, x)
test(2060.505, address(setcoalesce(xx)), xx_addr)
# complex support for coalesce
# complex support for fcoalesce
z1 = c(1i, NA, 1-1i, NA, 0+3i, NA)
z2 = c(NA, 4-2i, 0+0i, NA, NA, NA)
z3 = c(2, NA, 3+6i, 5-1i, NA, NA)
na_idx = c(2L, 4L, 6L)
test(2060.600, coalesce(z1, 0+0i), `[<-`(z1, na_idx, 0+0i))
test(2060.601, coalesce(z1, z2), `[<-`(z1, na_idx, c(4-2i, NA, NA)))
test(2060.602, coalesce(z1, z2, z3), `[<-`(z1, na_idx, c(4-2i, 5-1i, NA)))
test(2060.600, fcoalesce(z1, 0+0i), `[<-`(z1, na_idx, 0+0i))
test(2060.601, fcoalesce(z1, z2), `[<-`(z1, na_idx, c(4-2i, NA, NA)))
test(2060.602, fcoalesce(z1, z2, z3), `[<-`(z1, na_idx, c(4-2i, 5-1i, NA)))
z_addr = address(z1)
setcoalesce(z1, z2, z3)
test(2060.603, address(z1), z_addr)
test(2060.604, z1, `[<-`(z1, na_idx, c(4-2i, 5-1i, NA)))
test(2060.605, coalesce(NULL, "foo"), NULL) # as seen in mlr using BBmisc::coalesce from example(getHyperPars), #3581
test(2060.605, fcoalesce(NULL, "foo"), NULL) # as seen in mlr using BBmisc::coalesce from example(getHyperPars), #3581

# #3650 -- ensure max nrow check on CJ is applied after unique
l = replicate(ceiling(log10(.Machine$integer.max)), rep(1L, 10L), simplify = FALSE)
Expand Down
14 changes: 7 additions & 7 deletions man/coalesce.Rd
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@@ -1,13 +1,13 @@
\name{coalesce}
\alias{coalesce}
\name{fcoalesce}
\alias{fcoalesce}
\alias{setcoalesce}
\title{ Coalescing missing values }
\description{
Fill in missing values in a vector by successively pulling from candidate vectors in order. As per the ANSI SQL function COALESCE, \code{dplyr::coalesce} and \code{hutils::coalesce}.
Fill in missing values in a vector by successively pulling from candidate vectors in order. As per the ANSI SQL function COALESCE, \code{dplyr::coalesce} and \code{hutils::coalesce}. Unlike \code{BBmisc::coalesce} which just returns the first non-NULL vector.
Written in C, and multithreaded for numeric and factor types.
}
\usage{
coalesce(\dots)
fcoalesce(\dots)
}
\arguments{
\item{\dots}{ A set of same-class vectors. These vectors can be supplied as separate arguments or as a single plain list, data.table or data.frame, see examples. }
Expand All @@ -26,9 +26,9 @@ If the first item is \code{NULL}, the result is \code{NULL}.
x = c(11L, NA, 13L, NA, 15L, NA)
y = c(NA, 12L, 5L, NA, NA, NA)
z = c(11L, NA, 1L, 14L, NA, NA)
coalesce(x, y, z)
coalesce(list(x,y,z)) # same
coalesce(x, list(y,z)) # same
fcoalesce(x, y, z)
fcoalesce(list(x,y,z)) # same
fcoalesce(x, list(y,z)) # same
}
\keyword{ data }

2 changes: 1 addition & 1 deletion man/fifelse.Rd
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Expand Up @@ -20,7 +20,7 @@ In contrast to \code{\link[base]{ifelse}} attributes are copied from \code{yes}
A vector of the same length as \code{test} and attributes as \code{yes}. Data values are taken from the values of \code{yes} and \code{no}, eventually \code{na}.
}
\seealso{
\code{\link{coalesce}}
\code{\link{fcoalesce}}
}
\examples{
x = c(1:4, 3:2, 1:4)
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