In tidylab/tidylab.dqa: Data Quality Assurance Activities for Inconsistencies Discovery and Data Cleansing

#######################
## Get Package Paths ##
#######################
path_project <- getwd()
while (length(grep("test", path_project))>0) path_project <- dirname(path_project)
project_name <-  gsub(".Rcheck$", "", basename(path_project))

############################# 
## Get Package DESCRIPTION ##
#############################
library(desc)
target <- file.path(path_project, "DESCRIPTION")
desc_obj <- description$new(target)
package_name <- desc_obj$get_field("Package")

####################
## Construct URLs ##
####################
travis_url <- paste0("https://travis-ci.org/tidylab/", project_name)
pipeline_url <- paste0(travis_url, ".svg?branch=master")

codecov_url <- paste0("https://codecov.io/github/tidylab/", project_name, "?branch=master")
covr_url <- paste0("https://codecov.io/gh/tidylab/", project_name, "/branch/master/graph/badge.svg")

r project_name

r desc_obj$get_field("Title")

---

Overview

r desc_obj$get_field("Description")

Installation

r package_name is part of tidylab. The easiest way to install it, is by installing tidylab:

# Install all tidylab packages
# install.packages("devtools")
devtools::install_github("tidylab/tidylab")

Alternativly, you can install only r package_name by using:

# Install only `r package_name`
# install.packages("devtools")
devtools::install_github("tidylab/`r package_name`")

tidylab/tidylab.dqa documentation built on June 21, 2019, 7 p.m.