README.md
In jjchern/kffdata:
About kffdata
The R package kffdata stores a few datasets from the Kaiser Family
Foundation in a tidy format. The
following datasets are currently available:
kffdata::hosp_beds
kffdata::hosp_admissions
kffdata::hosp_em_visits
kffdata::hosp_ip_days
kffdata::hosp_op_visits
kffdata::hc_eee_pc
kffdata::hc_eee_pc_by_srvu
kffdata::pct_diabetes
kffdata::pct_overweight_obesity
kffdata::medicaid_chip_enrollment
Installation
You can install kffdata from the Github repo with
# install.packages("remotes")
remotes::install_github("jjchern/kffdata@v0.0.2")
# To uninstall the package, use:
# remove.packages("kffdata")
Usage
library(tidyverse)
#> ── Attaching packages ──────────────────────────────────────── tidyverse 1.2.1 ──
#> ✔ ggplot2 3.1.0 ✔ purrr 0.3.2
#> ✔ tibble 2.1.1 ✔ dplyr 0.8.0.1
#> ✔ tidyr 0.8.3 ✔ stringr 1.4.0
#> ✔ readr 1.1.1.9000 ✔ forcats 0.3.0
#> Warning: package 'ggplot2' was built under R version 3.4.4
#> Warning: package 'tibble' was built under R version 3.4.4
#> Warning: package 'tidyr' was built under R version 3.4.4
#> Warning: package 'purrr' was built under R version 3.4.4
#> Warning: package 'dplyr' was built under R version 3.4.4
#> ── Conflicts ─────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag() masks stats::lag()
kffdata::hosp_beds
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 0.7 1.4 1.6 3.7
#> 2 Alaba… 01 AL 2000 0.7 1.4 1.5 3.7
#> 3 Alaba… 01 AL 2001 0.8 1.4 1.5 3.7
#> 4 Alaba… 01 AL 2002 0.8 1.4 1.4 3.6
#> 5 Alaba… 01 AL 2003 0.8 1.4 1.3 3.5
#> 6 Alaba… 01 AL 2004 0.8 1.3 1.2 3.4
#> 7 Alaba… 01 AL 2005 0.8 1.3 0.4 3.4
#> 8 Alaba… 01 AL 2006 0.9 0.9 1.5 3.4
#> 9 Alaba… 01 AL 2007 0.9 0.9 1.5 3.4
#> 10 Alaba… 01 AL 2008 0.9 0.9 1.5 3.3
#> # … with 857 more rows
kffdata::hosp_admissions
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 26.4 63.5 63.5 153.
#> 2 Alaba… 01 AL 2000 31.7 63.2 57.9 153.
#> 3 Alaba… 01 AL 2001 31.8 62.2 59.4 153.
#> 4 Alaba… 01 AL 2002 32.0 62.3 56.7 151.
#> 5 Alaba… 01 AL 2003 36.6 63.1 57.7 157.
#> 6 Alaba… 01 AL 2004 37.3 63.4 57.5 158.
#> 7 Alaba… 01 AL 2005 37.0 59.5 58.8 155.
#> 8 Alaba… 01 AL 2006 40.1 40.4 68.5 149.
#> 9 Alaba… 01 AL 2007 39.8 41.6 69.1 150.
#> 10 Alaba… 01 AL 2008 37.5 40.2 69.3 147.
#> # … with 857 more rows
kffdata::hosp_em_visits
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 78.4 174. 199. 451.
#> 2 Alaba… 01 AL 2000 102. 172. 192. 465.
#> 3 Alaba… 01 AL 2001 101. 154. 184. 439.
#> 4 Alaba… 01 AL 2002 108. 174. 201. 483.
#> 5 Alaba… 01 AL 2003 116. 168. 192. 476.
#> 6 Alaba… 01 AL 2004 107. 158. 183. 448.
#> 7 Alaba… 01 AL 2005 114. 156. 188. 459.
#> 8 Alaba… 01 AL 2006 133. 118. 227. 345.
#> 9 Alaba… 01 AL 2007 121. 129. 237. 366.
#> 10 Alaba… 01 AL 2008 122. 127. 236. 486.
#> # … with 857 more rows
kffdata::hosp_ip_days
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_gover… total
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Alaba… 01 AL 1999 128.4766 324.2993 371.8493 824.6…
#> 2 Alaba… 01 AL 2000 143.0041 314.0868 348.418 805.5…
#> 3 Alaba… 01 AL 2001 142.6606 305.3141 351.3807 799.3…
#> 4 Alaba… 01 AL 2002 151.4114 294.168 278.7336 724.3…
#> 5 Alaba… 01 AL 2003 169.9235 316.3012 301.3904 787.6…
#> 6 Alaba… 01 AL 2004 175.6933 319.9925 314.0798 809.7…
#> 7 Alaba… 01 AL 2005 176.524 304.9451 316.1894 797.6…
#> 8 Alaba… 01 AL 2006 193 214 368 775
#> 9 Alaba… 01 AL 2007 193 212 362 767
#> 10 Alaba… 01 AL 2008 182 207 364 754
#> # … with 857 more rows
kffdata::hosp_op_visits
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 314. 763. 716. 1793.
#> 2 Alaba… 01 AL 2000 341. 773. 675. 1789.
#> 3 Alaba… 01 AL 2001 345. 707. 691. 1743.
#> 4 Alaba… 01 AL 2002 485. 922. 836. 2243.
#> 5 Alaba… 01 AL 2003 342. 864. 770. 1976.
#> 6 Alaba… 01 AL 2004 330 816 680 1826
#> 7 Alaba… 01 AL 2005 322 721 617 1659
#> 8 Alaba… 01 AL 2006 366 563 819 1748
#> 9 Alaba… 01 AL 2007 355 590 824 1769
#> 10 Alaba… 01 AL 2008 353 640 936 1928
#> # … with 857 more rows
kffdata::hc_eee_pc
#> # A tibble: 1,224 x 5
#> state fips usps year health_spending_per_capita
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 Alabama 01 AL 1991 2535
#> 2 Alabama 01 AL 1992 2716
#> 3 Alabama 01 AL 1993 2854
#> 4 Alabama 01 AL 1994 2991
#> 5 Alabama 01 AL 1995 3163
#> 6 Alabama 01 AL 1996 3336
#> 7 Alabama 01 AL 1997 3540
#> 8 Alabama 01 AL 1998 3601
#> 9 Alabama 01 AL 1999 3714
#> 10 Alabama 01 AL 2000 3932
#> # … with 1,214 more rows
kffdata::hc_eee_pc_by_srvu
#> # A tibble: 1,224 x 13
#> state fips usps year dental_services home_health_care hospital_care
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 Alab… 01 AL 1991 98 62 1092
#> 2 Alab… 01 AL 1992 110 79 1201
#> 3 Alab… 01 AL 1993 114 104 1225
#> 4 Alab… 01 AL 1994 121 118 1257
#> 5 Alab… 01 AL 1995 128 139 1345
#> 6 Alab… 01 AL 1996 135 150 1411
#> 7 Alab… 01 AL 1997 143 150 1405
#> 8 Alab… 01 AL 1998 148 128 1379
#> 9 Alab… 01 AL 1999 160 106 1407
#> 10 Alab… 01 AL 2000 170 99 1448
#> # … with 1,214 more rows, and 6 more variables: medical_durables <dbl>,
#> # nursing_home_care <dbl>,
#> # other_health_residential_and_personal_care <dbl>,
#> # other_professional_services <dbl>,
#> # physician_and_clinical_services <dbl>,
#> # prescription_drugs_and_other_medical_nondurables <dbl>
kffdata::pct_diabetes
#> # A tibble: 204 x 8
#> state fips usps year no no_pre_diabetes_o… yes yes_pregnancy_r…
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Alaba… 01 AL 2013 0.838 0.014 0.138 0.01
#> 2 Alaba… 01 AL 2014 0.849 0.015 0.129 0.006
#> 3 Alaba… 01 AL 2015 0.845 0.013 0.135 0.008
#> 4 Alaba… 01 AL 2016 0.834 0.011 0.146 0.008
#> 5 Alaska 02 AK 2013 0.906 0.014 0.071 0.009
#> 6 Alaska 02 AK 2014 0.904 0.015 0.074 NSD
#> 7 Alaska 02 AK 2015 0.892 0.01 0.076 NSD
#> 8 Alaska 02 AK 2016 0.898 0.019 0.075 NSD
#> 9 Arizo… 04 AZ 2013 0.877 0.009 0.107 NSD
#> 10 Arizo… 04 AZ 2014 0.875 0.015 0.1 0.01
#> # … with 194 more rows
kffdata::pct_overweight_obesity
#> # A tibble: 204 x 5
#> state fips usps year adult_overweight_obesity_rate
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 Alabama 01 AL 2013 0.682
#> 2 Alabama 01 AL 2014 0.67
#> 3 Alabama 01 AL 2015 0.687
#> 4 Alabama 01 AL 2016 0.695
#> 5 Alaska 02 AK 2013 0.661
#> 6 Alaska 02 AK 2014 0.648
#> 7 Alaska 02 AK 2015 0.672
#> 8 Alaska 02 AK 2016 0.667
#> 9 Arizona 04 AZ 2013 0.618
#> 10 Arizona 04 AZ 2014 0.64
#> # … with 194 more rows
kffdata::medicaid_chip_enrollment
#> # A tibble: 3,060 x 8
#> state fips usps year month pre_aca_average… total_monthly_m…
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Alab… 01 AL 2014 01 799176 774136
#> 2 Alab… 01 AL 2015 01 799176 843250
#> 3 Alab… 01 AL 2016 01 799176 896668
#> 4 Alab… 01 AL 2017 01 799176 889199
#> 5 Alab… 01 AL 2018 01 799176 902197
#> 6 Alab… 01 AL 2014 02 799176 769,295
#> 7 Alab… 01 AL 2015 02 799176 835370
#> 8 Alab… 01 AL 2016 02 799176 896454
#> 9 Alab… 01 AL 2017 02 799176 891062
#> 10 Alab… 01 AL 2018 02 799176 902775
#> # … with 3,050 more rows, and 1 more variable: percent_change <chr>
jjchern/kffdata documentation built on May 14, 2019, 12:46 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
About kffdata
The R package kffdata stores a few datasets from the Kaiser Family
Foundation in a tidy format. The
following datasets are currently available:
kffdata::hosp_beds
kffdata::hosp_admissions
kffdata::hosp_em_visits
kffdata::hosp_ip_days
kffdata::hosp_op_visits
kffdata::hc_eee_pc
kffdata::hc_eee_pc_by_srvu
kffdata::pct_diabetes
kffdata::pct_overweight_obesity
kffdata::medicaid_chip_enrollment
Installation
You can install kffdata from the Github repo with
# install.packages("remotes")
remotes::install_github("jjchern/kffdata@v0.0.2")
# To uninstall the package, use:
# remove.packages("kffdata")
Usage
library(tidyverse)
#> ── Attaching packages ──────────────────────────────────────── tidyverse 1.2.1 ──
#> ✔ ggplot2 3.1.0 ✔ purrr 0.3.2
#> ✔ tibble 2.1.1 ✔ dplyr 0.8.0.1
#> ✔ tidyr 0.8.3 ✔ stringr 1.4.0
#> ✔ readr 1.1.1.9000 ✔ forcats 0.3.0
#> Warning: package 'ggplot2' was built under R version 3.4.4
#> Warning: package 'tibble' was built under R version 3.4.4
#> Warning: package 'tidyr' was built under R version 3.4.4
#> Warning: package 'purrr' was built under R version 3.4.4
#> Warning: package 'dplyr' was built under R version 3.4.4
#> ── Conflicts ─────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag() masks stats::lag()
kffdata::hosp_beds
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 0.7 1.4 1.6 3.7
#> 2 Alaba… 01 AL 2000 0.7 1.4 1.5 3.7
#> 3 Alaba… 01 AL 2001 0.8 1.4 1.5 3.7
#> 4 Alaba… 01 AL 2002 0.8 1.4 1.4 3.6
#> 5 Alaba… 01 AL 2003 0.8 1.4 1.3 3.5
#> 6 Alaba… 01 AL 2004 0.8 1.3 1.2 3.4
#> 7 Alaba… 01 AL 2005 0.8 1.3 0.4 3.4
#> 8 Alaba… 01 AL 2006 0.9 0.9 1.5 3.4
#> 9 Alaba… 01 AL 2007 0.9 0.9 1.5 3.4
#> 10 Alaba… 01 AL 2008 0.9 0.9 1.5 3.3
#> # … with 857 more rows
kffdata::hosp_admissions
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 26.4 63.5 63.5 153.
#> 2 Alaba… 01 AL 2000 31.7 63.2 57.9 153.
#> 3 Alaba… 01 AL 2001 31.8 62.2 59.4 153.
#> 4 Alaba… 01 AL 2002 32.0 62.3 56.7 151.
#> 5 Alaba… 01 AL 2003 36.6 63.1 57.7 157.
#> 6 Alaba… 01 AL 2004 37.3 63.4 57.5 158.
#> 7 Alaba… 01 AL 2005 37.0 59.5 58.8 155.
#> 8 Alaba… 01 AL 2006 40.1 40.4 68.5 149.
#> 9 Alaba… 01 AL 2007 39.8 41.6 69.1 150.
#> 10 Alaba… 01 AL 2008 37.5 40.2 69.3 147.
#> # … with 857 more rows
kffdata::hosp_em_visits
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 78.4 174. 199. 451.
#> 2 Alaba… 01 AL 2000 102. 172. 192. 465.
#> 3 Alaba… 01 AL 2001 101. 154. 184. 439.
#> 4 Alaba… 01 AL 2002 108. 174. 201. 483.
#> 5 Alaba… 01 AL 2003 116. 168. 192. 476.
#> 6 Alaba… 01 AL 2004 107. 158. 183. 448.
#> 7 Alaba… 01 AL 2005 114. 156. 188. 459.
#> 8 Alaba… 01 AL 2006 133. 118. 227. 345.
#> 9 Alaba… 01 AL 2007 121. 129. 237. 366.
#> 10 Alaba… 01 AL 2008 122. 127. 236. 486.
#> # … with 857 more rows
kffdata::hosp_ip_days
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_gover… total
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Alaba… 01 AL 1999 128.4766 324.2993 371.8493 824.6…
#> 2 Alaba… 01 AL 2000 143.0041 314.0868 348.418 805.5…
#> 3 Alaba… 01 AL 2001 142.6606 305.3141 351.3807 799.3…
#> 4 Alaba… 01 AL 2002 151.4114 294.168 278.7336 724.3…
#> 5 Alaba… 01 AL 2003 169.9235 316.3012 301.3904 787.6…
#> 6 Alaba… 01 AL 2004 175.6933 319.9925 314.0798 809.7…
#> 7 Alaba… 01 AL 2005 176.524 304.9451 316.1894 797.6…
#> 8 Alaba… 01 AL 2006 193 214 368 775
#> 9 Alaba… 01 AL 2007 193 212 362 767
#> 10 Alaba… 01 AL 2008 182 207 364 754
#> # … with 857 more rows
kffdata::hosp_op_visits
#> # A tibble: 867 x 8
#> state fips usps year for_profit non_profit state_local_govern… total
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Alaba… 01 AL 1999 314. 763. 716. 1793.
#> 2 Alaba… 01 AL 2000 341. 773. 675. 1789.
#> 3 Alaba… 01 AL 2001 345. 707. 691. 1743.
#> 4 Alaba… 01 AL 2002 485. 922. 836. 2243.
#> 5 Alaba… 01 AL 2003 342. 864. 770. 1976.
#> 6 Alaba… 01 AL 2004 330 816 680 1826
#> 7 Alaba… 01 AL 2005 322 721 617 1659
#> 8 Alaba… 01 AL 2006 366 563 819 1748
#> 9 Alaba… 01 AL 2007 355 590 824 1769
#> 10 Alaba… 01 AL 2008 353 640 936 1928
#> # … with 857 more rows
kffdata::hc_eee_pc
#> # A tibble: 1,224 x 5
#> state fips usps year health_spending_per_capita
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 Alabama 01 AL 1991 2535
#> 2 Alabama 01 AL 1992 2716
#> 3 Alabama 01 AL 1993 2854
#> 4 Alabama 01 AL 1994 2991
#> 5 Alabama 01 AL 1995 3163
#> 6 Alabama 01 AL 1996 3336
#> 7 Alabama 01 AL 1997 3540
#> 8 Alabama 01 AL 1998 3601
#> 9 Alabama 01 AL 1999 3714
#> 10 Alabama 01 AL 2000 3932
#> # … with 1,214 more rows
kffdata::hc_eee_pc_by_srvu
#> # A tibble: 1,224 x 13
#> state fips usps year dental_services home_health_care hospital_care
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 Alab… 01 AL 1991 98 62 1092
#> 2 Alab… 01 AL 1992 110 79 1201
#> 3 Alab… 01 AL 1993 114 104 1225
#> 4 Alab… 01 AL 1994 121 118 1257
#> 5 Alab… 01 AL 1995 128 139 1345
#> 6 Alab… 01 AL 1996 135 150 1411
#> 7 Alab… 01 AL 1997 143 150 1405
#> 8 Alab… 01 AL 1998 148 128 1379
#> 9 Alab… 01 AL 1999 160 106 1407
#> 10 Alab… 01 AL 2000 170 99 1448
#> # … with 1,214 more rows, and 6 more variables: medical_durables <dbl>,
#> # nursing_home_care <dbl>,
#> # other_health_residential_and_personal_care <dbl>,
#> # other_professional_services <dbl>,
#> # physician_and_clinical_services <dbl>,
#> # prescription_drugs_and_other_medical_nondurables <dbl>
kffdata::pct_diabetes
#> # A tibble: 204 x 8
#> state fips usps year no no_pre_diabetes_o… yes yes_pregnancy_r…
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Alaba… 01 AL 2013 0.838 0.014 0.138 0.01
#> 2 Alaba… 01 AL 2014 0.849 0.015 0.129 0.006
#> 3 Alaba… 01 AL 2015 0.845 0.013 0.135 0.008
#> 4 Alaba… 01 AL 2016 0.834 0.011 0.146 0.008
#> 5 Alaska 02 AK 2013 0.906 0.014 0.071 0.009
#> 6 Alaska 02 AK 2014 0.904 0.015 0.074 NSD
#> 7 Alaska 02 AK 2015 0.892 0.01 0.076 NSD
#> 8 Alaska 02 AK 2016 0.898 0.019 0.075 NSD
#> 9 Arizo… 04 AZ 2013 0.877 0.009 0.107 NSD
#> 10 Arizo… 04 AZ 2014 0.875 0.015 0.1 0.01
#> # … with 194 more rows
kffdata::pct_overweight_obesity
#> # A tibble: 204 x 5
#> state fips usps year adult_overweight_obesity_rate
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 Alabama 01 AL 2013 0.682
#> 2 Alabama 01 AL 2014 0.67
#> 3 Alabama 01 AL 2015 0.687
#> 4 Alabama 01 AL 2016 0.695
#> 5 Alaska 02 AK 2013 0.661
#> 6 Alaska 02 AK 2014 0.648
#> 7 Alaska 02 AK 2015 0.672
#> 8 Alaska 02 AK 2016 0.667
#> 9 Arizona 04 AZ 2013 0.618
#> 10 Arizona 04 AZ 2014 0.64
#> # … with 194 more rows
kffdata::medicaid_chip_enrollment
#> # A tibble: 3,060 x 8
#> state fips usps year month pre_aca_average… total_monthly_m…
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Alab… 01 AL 2014 01 799176 774136
#> 2 Alab… 01 AL 2015 01 799176 843250
#> 3 Alab… 01 AL 2016 01 799176 896668
#> 4 Alab… 01 AL 2017 01 799176 889199
#> 5 Alab… 01 AL 2018 01 799176 902197
#> 6 Alab… 01 AL 2014 02 799176 769,295
#> 7 Alab… 01 AL 2015 02 799176 835370
#> 8 Alab… 01 AL 2016 02 799176 896454
#> 9 Alab… 01 AL 2017 02 799176 891062
#> 10 Alab… 01 AL 2018 02 799176 902775
#> # … with 3,050 more rows, and 1 more variable: percent_change <chr>
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