knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
There are several options for acquiring bls qcew data: blsAPI() function (package?) goes back to 2012, i think singlefile.csv ## a big file for each year (~1.5 GB) csvs by area ## file for each year and area (several GB download) I chose to use the singlefile.csv's because it seems easy Once I figured out how to use the data.table::fread() function to read them in...
Read in the Bureau of Labor Statistics Quarterly Census of Employment and Wages The blsAPI() can be used to update the data
19 2digit NAICs, projections are on this level 103 3digit NAICs 331 4digit NAICs 735 5digit NAICs 1281 6digit NAICs
Note the various macros within the vignette
section of the metadata block above. These are required in order to instruct R how to build the vignette. Note that you should change the title
field and the \VignetteIndexEntry
to match the title of your vignette.
The html_vignette
template includes a basic CSS theme. To override this theme you can specify your own CSS in the document metadata as follows:
output: rmarkdown::html_vignette: css: mystyles.css
The figure sizes have been customised so that you can easily put two images side-by-side.
plot(1:10) plot(10:1)
You can enable figure captions by fig_caption: yes
in YAML:
output: rmarkdown::html_vignette: fig_caption: yes
Then you can use the chunk option fig.cap = "Your figure caption."
in knitr.
You can write math expressions, e.g. $Y = X\beta + \epsilon$, footnotes^[A footnote here.], and tables, e.g. using knitr::kable()
.
knitr::kable(head(mtcars, 10))
Also a quote using >
:
"He who gives up [code] safety for [code] speed deserves neither." (via)
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