develop.R

In hope-data-science/tidyfst: Tidy Verbs for Fast Data Manipulation

# for develop

library(pacman)
p_load(devtools,usethis,roxygen2,pkgdown,badger)
p_load(fst,stringr,data.table,tidyfst,testthat)

devtools::install_github("csgillespie/roxygen2Comment")

# use_test("")

# use_r("global_setting")

rm(list = ls())
document()
install(upgrade = "never",dependencies = F)
#install(upgrade = "never",dependencies = F,quick = T)
#install(quick = T)
.rs.restartR()
library(tidyfst)

testthat::test_package("tidyfst")

# library(tidydt)

options(pkgdown.internet = F)
options(rmarkdown.html_vignette.check_title = FALSE)
build_site(override = list(rmarkdown.html_vignette.check_title = FALSE))

submit_cran()


f <- file.path(tempdir(), "mypackage_thefile.csv")
if (file.exists(f)) {
  d <- read.csv(f)
} else {
  # download it and save to f
}

# https://github.com/GuangchuangYu/badger
badge_devel("guangchuangyu/ggtree", "blue")
badge_devel("hope-data-science/tidydt", "blue")

a = "abichat"
stringr::str_glue("wget -c \"https://codeload.github.com/{a}/TidyTuesday/zip/master\" -O {a}_tidytuesday.zip")

a = "rstudio/cheatsheets"
stringr::str_glue("wget -c \"https://codeload.github.com/{a}/zip/master\" -O cheatsheet.zip")

use_logo(file.choose())
use_vignette(name = "Introduction",title = "Using data.table the tidy way")

iris %>%
  mutate_dt(group = Species,sl = Sepal.Length,sw = Sepal.Width) %>%
  select_dt(group,sl,sw) %>%
  filter_dt(sl > 5) %>%
  arrange_dt(group,sl) %>%
  distinct_dt(sl,keep_all = T) %>%
  summarise_dt(sw = max(sw),by = group)

usethis::create_package


library(tidyfst)
dt_list = ls("package:tidyfst") %>%
  stringr::str_subset("_dt$") %>%
  # exclude same function names in base
  .[! stringr::str_remove(.,"_dt$") %in% ls("package:base")]

invisible(
  lapply(dt_list,
         function(x)
           assign(stringr::str_remove(x,"_dt$"),
                  get(x),
                  envir = globalenv()))
)

iris %>% select("Pe")


test_file(path = "tests/testthat/test-mutate_dt.R")


library(cranlogs)
library(tidyfst)

end_date = "2020-04-09"

cran_downloads(package = "tidyfst", from = "2020-02-10",to = end_date) -> a

a


reprex::reprex({
  library(tidyfst)
  iris %>%
    count_dt(Species) %>%
    add_prop()
},venue = "R")