adding this stuff

medewitt · Apr 28, 2024 · bd7912b · bd7912b
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diff --git a/.Rbuildignore b/.Rbuildignore
@@ -11,3 +11,4 @@
 ^_pkgdown\.yml$
 ^appveyor\.yml$
 ^\.github$
+^CRAN-SUBMISSION$
diff --git a/README.md b/README.md
@@ -1,19 +1,11 @@
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
-
 <!-- badges here -->
 
 [![CRAN
 status](https://www.r-pkg.org/badges/version/tidyqwi)](https://cran.r-project.org/package=tidyqwi)
 [![R build
 status](https://github.com/medewitt/tidyqwi/workflows/R-CMD-check/badge.svg)](https://github.com/medewitt/tidyqwi/actions)
-[![Travis build
-status](https://travis-ci.org/medewitt/tidyqwi.svg?branch=master)](https://travis-ci.org/medewitt/tidyqwi)
-[![AppVeyor build
-status](https://ci.appveyor.com/api/projects/status/github/medewitt/tidyqwi?branch=master&svg=true)](https://ci.appveyor.com/project/medewitt/tidyqwi)[![Coverage
-status](https://codecov.io/gh/medewitt/tidyqwi/branch/master/graph/badge.svg)](https://codecov.io/github/medewitt/tidyqwi?branch=master)
-[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)
-[![](https://cranlogs.r-pkg.org/badges/tidyqwi)](https://cran.r-project.org/package=tidyqwi)[![DOI](http://joss.theoj.org/papers/10.21105/joss.01462/status.svg)](https://doi.org/10.21105/joss.01462)
 
 <!-- end badges -->
 
@@ -27,8 +19,6 @@ level data, firm size, etc) and submit them to the US Census API. This
 package then stays within the US Census guidelines for API submission
 for this data and returns a combined tidy dataframe for future analysis.
 
-This is a work in progress\!
-
 ## Installation
 
 Install via CRAN with:
@@ -45,7 +35,7 @@ remotes::install_github("medewitt/tidyqwi")
 
 ## Use
 
-After installation you can load and retrieve the desired data\!
+After installation you can load and retrieve the desired data!
 
 ``` r
 library(tidyqwi)
@@ -63,16 +53,15 @@ And look at your data:
 
 ``` r
 head(nc_qwi)
-#> # A tibble: 6 x 12
-#>   year  quarter agegrp sex   ownercode seasonadj industry state county Emp  
-#>   <chr> <chr>   <chr>  <chr> <chr>     <chr>     <chr>    <chr> <chr>  <chr>
-#> 1 2010  1       A00    0     A00       U         11       37    001    45   
-#> 2 2010  1       A00    0     A00       U         11       37    003    101  
-#> 3 2010  1       A00    0     A00       U         11       37    005    82   
-#> 4 2010  1       A00    0     A00       U         11       37    007    207  
-#> 5 2010  1       A00    0     A00       U         11       37    009    104  
-#> 6 2010  1       A00    0     A00       U         11       37    011    77   
-#> # … with 2 more variables: sEmp <chr>, year_time <date>
+#> # A tibble: 6 × 12
+#>   year  quarter agegrp sex   ownercode seasonadj industry state county Emp   sEmp  year_time 
+#>   <chr> <chr>   <chr>  <chr> <chr>     <chr>     <chr>    <chr> <chr>  <chr> <chr> <date>    
+#> 1 2010  1       A00    0     A00       U         11       37    001    45    1     2010-01-01
+#> 2 2010  1       A00    0     A00       U         11       37    003    101   1     2010-01-01
+#> 3 2010  1       A00    0     A00       U         11       37    005    82    1     2010-01-01
+#> 4 2010  1       A00    0     A00       U         11       37    007    207   1     2010-01-01
+#> 5 2010  1       A00    0     A00       U         11       37    009    104   1     2010-01-01
+#> 6 2010  1       A00    0     A00       U         11       37    011    77    1     2010-01-01
 ```
 
 And there are labels added if desired
@@ -84,10 +73,8 @@ labelled_nc <- add_qwi_labels(nc_qwi)
 ``` r
 Hmisc::describe(labelled_nc$Emp)
 #> labelled_nc$Emp : Beginning-of-Quarter Employment: Counts 
-#>        n  missing distinct     Info     Mean      Gmd      .05      .10 
-#>     7345      411     2851        1     2018     3129       24       40 
-#>      .25      .50      .75      .90      .95 
-#>      132      448     1550     4355     8099 
+#>        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+#>     7345      411     2851        1     2018     3129       24       40      132      448     1550     4355     8099 
 #> 
 #> lowest :     0     1     3     4     5, highest: 65243 81884 82723 84038 84674
 ```
@@ -118,11 +105,12 @@ labelled_nc %>%
     x = "Month"
   )+
   theme_minimal()
+#> Warning in vp$just: partial match of 'just' to 'justification'
 ```
 
 <img src="man/figures/README-unnamed-chunk-8-1.png" width="100%" />
 
 Please note that the ‘tidyqwi’ project is released with a [Contributor
 Code of
-Conduct](https://github.com/medewitt/tidyqwi/blob/master/CODE_OF_CONDUCT.md).
+Conduct](https://github.com/medewitt/tidyqwi/blob/main/CODE_OF_CONDUCT.md).
 By contributing to this project, you agree to abide by its terms.
diff --git a/inst/CITATION b/inst/CITATION
@@ -9,7 +9,7 @@ bibentry(
   volume   = "4",
   number   = "38",
   pages    = "1462",
-  url      = "http://joss.theoj.org/papers/10.21105/joss.01462",
+  url      = "https://joss.theoj.org/papers/10.21105/joss.01462",
   textVersion = paste("DeWitt et al., (2019).",
                       "tidyqwi: A Tidy Approach to Accessing The US Census Bureau's Quarterly Workforce Indicators.",
                       "Journal of Open Source Software, 4(38), 1462,",