knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of poemReport is to make reporting of statistical services automatic.
You can install poemReport using
install.packages("devtools") devtools::install_github("dpananos/poemReport")
To begin the delays analysis for a given month, use poemReport::setup()
:
# Insert the appropirate month and year of the report poemReport::setup(report_month = "May", report_year = "2020")
This will open a .R
file which looks like
# Create POEM Report for May 2020 poemReport::data_cleaning(report_month = "May", report_year = "2020") poemReport::poem_report(report_month = "May", report_year = "2020")
Running poemReport::data_cleaning(report_month = "May", report_year = "2020")
opens a cleaning script called 02-data_cleaning.R
. Analysts are required to point the script towards the appropriate databases in order to analyze them. The remainder of the script implements analyses for statistical services data. The analyst is free to add/remove/change any of the analyses as they see fit.
Running 02-data_cleaning.R
will save a copy of the clean data in a .RDS
file into the working directory. The report can be created by running poemReport::poem_report(report_month = "May", report_year = "2020")
and knitting the document.
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