last/first get argument na.rm #5168
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edit: consistency issue fixed options(datatable.verbose=TRUE)
DT = data.table(a=c(1:3,NA), b=1:2, c=c(1L, rep(NA, 3)))
options(datatable.optimize=2L)
DT[, last(.SD, na.rm=TRUE), b]
#> Argument 'by' after substitute: b
#> Finding groups using forderv ... forder.c received 4 rows and 1 columns
#> 0.000s elapsed (0.001s cpu)
#> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu)
#> Getting back original order ... forder.c received a vector type 'integer' length 2
#> 0.000s elapsed (0.000s cpu)
#> lapply optimization changed j from 'last(.SD, na.rm = TRUE)' to 'list(last(a, na.rm = TRUE), last(c, na.rm = TRUE))'
#> GForce optimized j to 'list(glast(a, na.rm = TRUE), glast(c, na.rm = TRUE))'
#> Making each group and running j (GForce TRUE) ... gforce initial population of grp took 0.000
#> gforce assign high and low took 0.000
#> gforce eval took 0.000
#> 0.001s elapsed (0.001s cpu)
#> b a c
#> 1: 1 3 1
#> 2: 2 2 NA
options(datatable.optimize=1L)
DT[, last(.SD, na.rm=TRUE), b]
#> Argument 'by' after substitute: b
#> Finding groups using forderv ... forder.c received 4 rows and 1 columns
#> 0.000s elapsed (0.000s cpu)
#> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu)
#> Getting back original order ... forder.c received a vector type 'integer' length 2
#> 0.000s elapsed (0.001s cpu)
#> lapply optimization changed j from 'last(.SD, na.rm = TRUE)' to 'list(last(a, na.rm = TRUE), last(c, na.rm = TRUE))'
#> Old mean optimization is on, left j unchanged.
#> Making each group and running j (GForce FALSE) ... last: using last(x[!is.na(x)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#>
#> collecting discontiguous groups took 0.000s for 2 groups
#> eval(j) took 0.000s for 2 calls
#> 0.000s elapsed (0.000s cpu)
#> b a c
#> 1: 1 3 1
#> 2: 2 2 NA
options(datatable.optimize=0L)
DT[, last(.SD, na.rm=TRUE), b]
#> Argument 'by' after substitute: b
#> Finding groups using forderv ... forder.c received 4 rows and 1 columns
#> 0.000s elapsed (0.001s cpu)
#> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu)
#> Getting back original order ... forder.c received a vector type 'integer' length 2
#> 0.000s elapsed (0.000s cpu)
#> All optimizations are turned off
#> Making each group and running j (GForce FALSE) ... last: using x[, lapply(.SD, last, na.rm=TRUE)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#> The result of j is a named list. It's very inefficient to create the same names over and over again for each group. When j=list(...), any names are detected, removed and put back after grouping has completed, for efficiency. Using j=transform(), for example, prevents that speedup (consider changing to :=). This message may be upgraded to warning in future.
#> last: using x[, lapply(.SD, last, na.rm=TRUE)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#> last: using last(x[!is.na(x)]): na.rm=TRUE
#>
#> collecting discontiguous groups took 0.000s for 2 groups
#> eval(j) took 0.001s for 2 calls
#> 0.001s elapsed (0.001s cpu)
#> b a c
#> 1: 1 3 1
#> 2: 2 2 NA |
Codecov Report
@@ Coverage Diff @@
## master #5168 +/- ##
==========================================
- Coverage 99.51% 99.49% -0.02%
==========================================
Files 78 77 -1
Lines 14756 14675 -81
==========================================
- Hits 14684 14601 -83
- Misses 72 74 +2
📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more |
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@mattdowle I fixed expected behavior by turning off apply optimization for |
…1 (melt) with 'match.call(fun, orig_call): invalid definition argument' after running the new tests at the prompt; so removed variables and created DT directly in new tests
R/data.table.R
Outdated
| } | ||
| # only lapply optimize if first/last has na.rm=FALSE see also #5168 | ||
| headopt = jsub[[1L]] == "head" || jsub[[1L]] == "tail" | ||
| firstopt = jsub[[1L]] == "first" || jsub[[1L]] == "last" && !narm_arg(first, jsub) ## fix for #2030 |
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iiuc, the || part here needs parens around it. and if so, there's a test missing because DT[, first(.SD, na.rm=TRUE), by=] is still being optimized but that's not intended. Will do ...
In fact I'm about to change it so that first(DT, na.rm=TRUE) does it column-wise, so then first(.SD, na.rm=TRUE) can be optimized with a consistent result. na.rm="row" can remove rows containing any NA.
… to use named arguments now that n and na.rm can be items 3 and 4 with either appearing first
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If it's only output to test differently we can do c( |
…ength-1 and pad with NA
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"wip shift multiple n return data.table rather than list" commit. |
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@jangorecki shift multiple n returning list rather than data.table was causing problems in this PR yes. Since a data.table is a list too, I don't see much of an issue. But as I wrote it is wip. Since the list returned contains vectors of the same length, marking it as a data.table so anything using it knows it has a regular shape makes some sense to me. I don't think calling it out as a 'serious' breaking change helps. |
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@ben-schwen do you want to update this PR to |
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Ping @ben-schwen appreciate your help resolving conflicts here :) |
Will do. Not sure if I find the time today but definitely over the next week! |
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Done all but |
MichaelChirico
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That was my plan. Matt's change in gsumm.c look favorable and make sense but I want to split them into multiple PRs since they are hard to grasp |
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@ben-schwen I'm wondering whether to include this for 1.17.0, WDYT? |
These changes almost certainly have a stumbling block. I'm already working on the PR for it but wouldn't pull it into the 1.17 release. I guess we better aim for a stable release. |
Closes #4446
Closes #4239
Adds an
na.rmargument with defaultna.rm=FALSEtofirst/lastand their respective GForce optimized versionsgfirst/glast.Here should be noted that
gfirst(na.rm=TRUE)andglast(na.rm=TRUE)return the first resp. last non NA value if such a value exists. If such a value does not existgfirst/glastwill still return NA similar to gmedian(), gvar() and gsd().