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ymd

R-CMD-check CRAN status Downloads from the RStudio CRAN mirror Rust Code Coverage

Convert ‘YMD’ format number or string to Date efficiently, e.g., 211225 to as.Date("2021-12-25"), using Rust’s standard library. It also provides helper functions to handle Date, e.g., quick finding the beginning or end of the given period, adding months to Date, etc.

It’s similar to the lubridate package but is much lighter and focuses only on Date objects.

Installation

Binary version (no Rust toolchain required)

CRAN provides the binary package. So, if you are on Windows or macOS, the package can be installed via:

install.packages("ymd")

If you are on Linux, you can try to use the RSPM (RStudio Package Manager) repo provided by RStudio PBC, via (remember to choose the correct binary repo URL for your platform):

install.packages("ymd", repos = "{RSPM-Repo-URL}")

Source version (Rust toolchain required)

If you want to build the dev version from source, you’ll need the Rust toolchain, which can be installed following the instructions from the Rust book.

After that, you can build the package via:

remotes::install_github("ymd")

Use Cases and Benchmarks

print_bmk <- function(x) {
  x[[1]] <- format(x[[1]])
  x[[5]] <- format(x[[5]])
  rnd <- \(v) if (is.numeric(v)) round(v, 1) else v
  x[, 1:8] |>
    lapply(rnd) |>
    as.data.frame() |>
    knitr::kable() |>
    print()
}
run_bmk <- function(..., time_unit = "us") {
  bench::mark(..., time_unit = time_unit) |> print_bmk()
}

ymd

x <- c("210101", "21/02/03", "89-1-03", "1989.03.05", "01 02 03")
x <- rep(x, 100)
run_bmk(
  ymd::ymd(x),
  lubridate::ymd(x)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
ymd::ymd(x) 39.8 40.6 24357.7 810.1KB 0.0 10000 0
lubridate::ymd(x) 1390.4 1546.6 642.9 9.01MB 10.9 295 5
x <- c(210101, 210224, 211231, 19890103)
x <- rep(x, 100)
run_bmk(
  ymd::ymd(x),
  lubridate::ymd(x)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
ymd::ymd(x) 12.4 13.4 71767.6 3.17KB 0.0 10000 0
lubridate::ymd(x) 1724.9 1897.4 511.3 365.38KB 15.2 235 7
x <- c("2021-01-01", "2022-12-31", "1995-03-22")
x <- rep(x, 100)
run_bmk(
  ymd::ymd(x),
  lubridate::ymd(x),
  as.Date(x)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
ymd::ymd(x) 29.1 30.7 31806.3 2.39KB 3.2 9999 1
lubridate::ymd(x) 796.1 891.8 1074.0 193.52KB 15.1 499 7
as.Date(x) 790.5 829.7 1194.6 85.44KB 0.0 598 0
x <- ymd::ymd(210515) + 1:100
run_bmk(
  ymd::eop$tm(x),
  lubridate::ceiling_date(x, "month") - 1
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
ymd::eop$tm(x) 5.7 6.4 149613.5 19.3KB 0.0 10000 0
lubridate::ceiling_date(x, “month”) - 1 34.2 37.8 25043.7 155.5KB 27.6 9989 11

edate

`%m+%` <- lubridate::`%m+%`
x <- ymd::ymd(c(200115, 200131, 200229, 200331, 200401))
x <- rep(x, 100)
run_bmk(
  ymd::edate(x, 2),
  x %m+% months(2)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
ymd::edate(x, 2) 12.4 13.4 70780.5 6.2KB 0.0 10000 0
x %m+% months(2) 1140.7 1219.1 801.4 496.8KB 6.1 391 3
run_bmk(
  ymd::edate(x, -12),
  x %m+% months(-12)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
ymd::edate(x, -12) 12.5 13.5 69090.5 3.95KB 0.0 10000 0
x %m+% months(-12) 1510.1 1674.2 589.7 310.64KB 12.7 278 6

Extract Date Part

# tweak from https://github.com/Rdatatable/data.table/pull/5300
set.seed(373L)
x <- as.Date(data.table::as.IDate(sample(seq(-25000, 45000), 1e6, TRUE)))

run_bmk(
  data.table::year(x),
  lubridate::year(x),
  funchir::quick_year(x),
  ymd::year(x)
)
#> Warning: Some expressions had a GC in every iteration; so filtering is
#> disabled.
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::year(x) 4528.2 4988.7 172.0 7.64MB 40.0 86 20
lubridate::year(x) 281901.9 282685.4 3.5 57.23MB 7.1 2 4
funchir::quick_year(x) 30036.8 30385.8 27.7 26.76MB 7.9 14 4
ymd::year(x) 7976.5 8543.1 113.7 3.82MB 6.0 57 3
run_bmk(
  data.table::month(x),
  lubridate::month(x),
  ymd::month(x)
)
#> Warning: Some expressions had a GC in every iteration; so filtering is
#> disabled.
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::month(x) 21728.8 21979.7 44.8 7.63MB 3.9 23 2
lubridate::month(x) 265033.9 267228.5 3.7 95.37MB 3.7 2 2
ymd::month(x) 7696.7 8770.6 111.0 3.82MB 9.9 56 5
run_bmk(
  data.table::quarter(x),
  lubridate::quarter(x),
  ymd::quarter(x)
)
#> Warning: Some expressions had a GC in every iteration; so filtering is
#> disabled.
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::quarter(x) 17607.5 17977.1 51.1 7.63MB 7.9 26 4
lubridate::quarter(x) 285546.4 289119.8 3.5 110.66MB 3.5 2 2
ymd::quarter(x) 14518.9 15361.2 64.0 3.82MB 4.0 32 2
run_bmk(
  data.table::yday(x),
  lubridate::yday(x),
  funchir::quick_yday(x),
  ymd::yday(x)
)
#> Warning: Some expressions had a GC in every iteration; so filtering is
#> disabled.
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::yday(x) 8542.5 8857.7 109.3 7.63MB 8.0 55 4
lubridate::yday(x) 240595.5 244088.8 3.9 57.23MB 6.5 3 5
funchir::quick_yday(x) 23482.6 24758.5 39.7 19.08MB 13.9 20 7
ymd::yday(x) 8091.3 8580.1 105.7 3.82MB 8.0 53 4
run_bmk(
  data.table::mday(x),
  lubridate::mday(x),
  funchir::quick_mday(x),
  ymd::mday(x)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::mday(x) 21263.0 21479.8 46.5 7.63MB 4.4 21 2
lubridate::mday(x) 243894.2 243894.2 4.1 49.59MB 8.2 1 2
funchir::quick_mday(x) 9031.9 9400.6 106.0 15.28MB 16.7 38 6
ymd::mday(x) 8168.1 8903.7 112.3 3.82MB 4.2 54 2
run_bmk(
  data.table::wday(x),
  lubridate::wday(x),
  ymd::wday(x)
)
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::wday(x) 2781.9 3030.6 328.9 7.63MB 29.0 136 12
lubridate::wday(x) 243859.8 243859.8 4.1 57.22MB 12.3 1 3
ymd::wday(x) 9403.2 10239.4 97.9 3.82MB 6.5 45 3
run_bmk(
  data.table::isoweek(x),
  lubridate::isoweek(x),
  ymd::isoweek(x)
)
#> Warning: Some expressions had a GC in every iteration; so filtering is
#> disabled.
expression min median itr.sec mem_alloc gc.sec n_itr n_gc
data.table::isoweek(x) 3606869.8 3606869.8 0.3 259.48MB 1.1 1 4
lubridate::isoweek(x) 614492.8 614492.8 1.6 270.87MB 6.5 1 4
ymd::isoweek(x) 10148.3 11139.3 87.7 3.82MB 4.0 44 2

Session Info

xfun::session_info()
#> R version 4.4.1 (2024-06-14)
#> Platform: aarch64-apple-darwin20
#> Running under: macOS Sonoma 14.6
#> 
#> Locale: en_US.UTF-8 / en_US.UTF-8 / en_US.UTF-8 / C / en_US.UTF-8 / en_US.UTF-8
#> 
#> Package version:
#>   base64enc_0.1.3   bench_1.1.3       bslib_0.8.0       cachem_1.1.0     
#>   cli_3.6.3         compiler_4.4.1    cpp11_0.4.7       data.table_1.15.4
#>   digest_0.6.36     evaluate_0.24.0   fansi_1.0.6       fastmap_1.2.0    
#>   fontawesome_0.5.2 fs_1.6.4          funchir_0.2.2     generics_0.1.3   
#>   glue_1.7.0        graphics_4.4.1    grDevices_4.4.1   highr_0.11       
#>   htmltools_0.5.8.1 jquerylib_0.1.4   jsonlite_1.8.8    knitr_1.48       
#>   lifecycle_1.0.4   lubridate_1.9.3   magrittr_2.0.3    memoise_2.0.1    
#>   methods_4.4.1     mime_0.12         pillar_1.9.0      pkgconfig_2.0.3  
#>   profmem_0.6.0     R6_2.5.1          rappdirs_0.3.3    rlang_1.1.4      
#>   rmarkdown_2.27    sass_0.4.9        stats_4.4.1       tibble_3.2.1     
#>   timechange_0.3.0  tinytex_0.52      tools_4.4.1       utf8_1.2.4       
#>   utils_4.4.1       vctrs_0.6.5       xfun_0.46         yaml_2.3.10      
#>   ymd_0.1.1

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.