~hrbrmstr/epidata

8a342d63b1ff1f0d88a47f036cfcbce8a85d5e20 — Bob Rudis 3 years ago 047ff85
tarvis
3 files changed, 8 insertions(+), 3 deletions(-)

M .Rbuildignore
M README.Rmd
M README.md
M .Rbuildignore => .Rbuildignore +1 -1
@@ 5,4 5,4 @@
^README\.*html$
^NOTES\.*Rmd$
^NOTES\.*html$
^docs$
\ No newline at end of file
^docs$

M README.Rmd => README.Rmd +4 -1
@@ 2,6 2,8 @@
output: rmarkdown::github_document
---

[![Travis-CI Build Status](https://travis-ci.org/hrbrmstr/epidata.svg?branch=master)](https://travis-ci.org/hrbrmstr/epidata)

`epidata` : Tools to Retrieve Economic Policy Institute Data Library Extracts

The [Economic Policy Institute](http://www.epi.org/data/) provides researchers, media, and


@@ 28,7 30,8 @@ The following functions are implemented:
   for six months or longer
- `get_median_and_mean_wages`:	Retreive the hourly wage in the middle of the wage distribution
- `get_non_high_school_wage_penalty`:	Retreive the percent by which hourly wages of workers 
   without a high school diploma (or equivalent) are less than wages of otherwise equivalent workers who have graduated from high school
   without a high school diploma (or equivalent) are less than wages of otherwise equivalent 
   workers who have graduated from high school
- `get_underemployment`:	Retreive the share of the labor force that is "underemployed"
- `get_unemployment`:	Retreive the share of the labor force without a job
- `get_unemployment_by_state`:	Retreive the share of the labor force without a job (by state)

M README.md => README.md +3 -1
@@ 1,4 1,6 @@

[![Travis-CI Build Status](https://travis-ci.org/hrbrmstr/epidata.svg?branch=master)](https://travis-ci.org/hrbrmstr/epidata)

`epidata` : Tools to Retrieve Economic Policy Institute Data Library Extracts

The [Economic Policy Institute](http://www.epi.org/data/) provides researchers, media, and the public with easily accessible, up-to-date, and comprehensive historical data on the American labor force. It is compiled from Economic Policy Institute analysis of government data sources. Use it to research wages, inequality, and other economic indicators over time and among demographic groups. Data is usually updated monthly.


@@ 164,7 166,7 @@ library(testthat)
date()
```

    ## [1] "Wed Jan  4 18:51:04 2017"
    ## [1] "Thu Jan  5 13:37:48 2017"

``` r
test_dir("tests/")