Code below may become outdated.
#--chapter
# install.packages('tidyverse')
# install.packages('dplyr')
# install.packages('magrittr')
# install.packages('tidyr')
library(DT)
#when executed
Sys.Date()
## [1] "2021-04-23"
url='https://github.com/OHDSI/ShinyDeploy/raw/master/OhdsiStudies/githubScraper.R'
library(httr)
library(tidyverse)
## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --
## v ggplot2 3.3.3 v purrr 0.3.4
## v tibble 3.1.0 v dplyr 1.0.5
## v tidyr 1.1.3 v stringr 1.4.0
## v readr 1.4.0 v forcats 0.5.1
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(magrittr)
##
## Attaching package: 'magrittr'
## The following object is masked from 'package:purrr':
##
## set_names
## The following object is masked from 'package:tidyr':
##
## extract
source(url)
#uncoment for full run
#repoTable <- scrapeGithub()
#saveRDS(repoTable, "c:/temp/repoTable.rds")
repoTable <- readRDS("c:/temp/repoTable.rds")
You can also embed plots, for example:
repoTable %>% datatable()
You can also embed plots, for example:
repoTable %>% count(status) %>% datatable()
repoTable %>% count(publications) %>% datatable()
repoTable %>% count(leadTag) %>% datatable()