Prep for CRAN lazysf 0.1.0
mdsumner opened this issue · comments
- doc of DBI functions, expand or bundle? d259835 thanks to RSQLite
- see and review https://github.com/tidyverse/dbplyr/blob/master/vignettes/backend-2.Rmd
- do we document dplyr verbs?
collect()is special because ofst_as_sf()subtlety? - vignette on OGRSQL vagaries (that we know)
- try other DBs (Manifold, MSSQLServer)
- discuss
copy_to()- i.e. not possible atm
Prepare for release:
- ensure pkgdown.yml matches the topics
- Check that description is informative
- Check licensing of included files
-
devtools::build_readme() -
usethis::use_cran_comments() -
devtools::check(remote = TRUE, manual = TRUE) -
devtools::check_win_devel() -
rhub::check_for_cran() - Update
cran-comments.md - Draft blog post
Submit to CRAN:
-
usethis::use_version('minor') -
devtools::submit_cran() - Approve email
Wait for CRAN...
- Accepted 🎉
-
usethis::use_news_md() -
usethis::use_github_release() -
usethis::use_dev_version() - Update install instructions in README
- Finish blog post
- Tweet
- Add link to blog post in pkgdown news menu
passing arguments to st_read
haven't checked everything but seems ok
checked explicitly:
- query
- wkt_filter
- quiet
- fid_column_name
- drivers
the verbs work fine, haven't checked set (union, setdiff, intersect, etc) not sure how
library(lazysf)
library(dplyr)
# tbl, collapse, collect, do, head, pull
# arrange, distinct, filter, group_by, mutate, select, rename, rename_with, relocate
# slice_min, slice_max, slice_sample
# inner_join, left_join, right_join, full_join, semi_join, anti_join,
#
# intersection, union, union_all, setdiff
# -- can't work
# copy_to
db <- dbConnect(SFSQL(), "inst/extdata/multi.gpkg")
tbl(db, "centre") %>% dplyr::filter(state %in% c("Tasmania", "Victoria")) %>%
dplyr::select(state) %>%
dplyr::inner_join(tbl(db, "state"), c("state" = "NAME")) %>%
# rename(here = state)
#head(2) %>% collect()
#rename_with(~paste(.x, "abc", sep = "_"))
# mutate(a = 1) %>% relocate(a) ## doesn't work with geom
group_by(state) %>% slice_sample(state, n= 2)
tbl(db, "centre") %>% union( tbl(db, "state"),c("state" = "NAME") )