Hi all,
I know this is similar to these posts:
missing binary package "fst" for Windows (R4.1 and 4.2) - R Admins / Package Management - RStudio Community
As Windows users, we are currently evaluating how to migrate from MRAN to Posit Public Package Manager. We noticed that thousands of packages are missing in PPPM (for the same snapshot date) which endangers our project reproducibility in the future.
Short result of MRAN vs Posit PPM
Here's the the short result. Sources coverage is pretty decent, but there are lots of binaries missing.
| SNAPSHOT_DATE | TYPE | NAME_MATCH | VERSION_MATCH | VERSION_MISMATCH | MISSING_POSIT | MISSING_MRAN |
|---|---|---|---|---|---|---|
| 2021-12-24 | source | 18621 | 18618 | 1 | 2 | 0 |
| 2021-12-24 | win.binary | 18675 | 15206 | 102 | 3325 | 42 |
| 2023-01-25 | source | 19075 | 19075 | 0 | 0 | 0 |
| 2023-01-25 | win.binary | 19129 | 14893 | 100 | 4102 | 34 |
Question
- Will the missing binary packages be added at some time?
- Are you (Posit) striving to jump in for the retiring MRAN?
Thanks a lot for your answer!
source code and reprex
library(tidyverse)
snapshot_dates <- c("2023-01-25", "2021-12-24")
url_stubs_tbl <- tribble(~PM_NAME, ~URL_STUB,
"MRAN", "https://mran.microsoft.com/snapshot/",
"POSIT", "https://packagemanager.posit.co/cran/")
pkg_types <- c("win.binary", "source")
overview_tbl <- expand.grid(SNAPSHOT_DATE = snapshot_dates,
TYPE = pkg_types,
PM_NAME = c("MRAN", "POSIT"),
stringsAsFactors = FALSE) |>
as_tibble() |>
left_join(url_stubs_tbl, by = "PM_NAME") |>
mutate(URL = str_c(URL_STUB, SNAPSHOT_DATE))
overview_tbl <- overview_tbl |>
mutate(AVAILABLE_PKGS = map2(URL, TYPE, ~available.packages(repos = .x, type = .y) |> as_tibble()))
# function to compare to available pkgs tables
compare_avail_pkgs <- function(tbl_1, tbl_2) {
matching <- select(tbl_1, Package, Version_left = Version) |>
full_join(select(tbl_2, Package, Version_right = Version),
by = "Package") |>
mutate(NAME_MATCH = TRUE,
VERSION_MATCH = Version_left == Version_right)
matching <- matching |>
mutate(MISSING_RIGHT = is.na(Version_right),
MISSING_LEFT = is.na(Version_left))
matching |>
rename_with(str_to_upper)
}
wide_overview_tbl <- overview_tbl |>
select(SNAPSHOT_DATE, PM_NAME, TYPE, AVAILABLE_PKGS) |>
pivot_wider(names_from = c(PM_NAME), values_from = AVAILABLE_PKGS) |>
mutate(COMPARE_RESULT = map2(MRAN, POSIT, compare_avail_pkgs)) |>
select(SNAPSHOT_DATE, TYPE, COMPARE_RESULT) |>
unnest(COMPARE_RESULT) |>
rename_with(~str_replace(.x, "LEFT", "MRAN")) |>
rename_with(~str_replace(.x, "RIGHT", "POSIT"))
wide_overview_tbl |>
group_by(SNAPSHOT_DATE, TYPE) |>
mutate(VERSION_MISMATCH = !VERSION_MATCH) |>
summarise(across(c(NAME_MATCH, VERSION_MATCH, VERSION_MISMATCH,
MISSING_POSIT, MISSING_MRAN), sum, na.rm = TRUE))
#> `summarise()` has grouped output by 'SNAPSHOT_DATE'. You can override using the
#> `.groups` argument.
#> # A tibble: 4 × 7
#> # Groups: SNAPSHOT_DATE [2]
#> SNAPSHOT_DATE TYPE NAME_MATCH VERSION_MATCH VERSION_MI…¹ MISSI…² MISSI…³
#> <chr> <chr> <int> <int> <int> <int> <int>
#> 1 2021-12-24 source 18621 18618 1 2 0
#> 2 2021-12-24 win.binary 18675 15206 102 3325 42
#> 3 2023-01-25 source 19075 19075 0 0 0
#> 4 2023-01-25 win.binary 19129 14893 100 4102 34
#> # … with abbreviated variable names ¹VERSION_MISMATCH, ²MISSING_POSIT,
#> # ³MISSING_MRAN
Created on 2023-01-27 with reprex v2.0.2
