knitr::opts_chunk$set(comment = NA)
library(janitor)
library(naniar)
library(xfun)
# if you choose to add other packages, do so here
library(easystats)
library(tidyverse)
theme_set(theme_bw())
## if you choose to source in the Love-431.R script, do so here431 Project A Portfolio Report Template (Replace This Title)
If you want a subtitle, here’s where to put it.
Delete these instructions when submitting your work
Before submitting your Project A Portfolio Report,
Place a meaningful title (that doesn’t use “431” or “Project A” or “Template”) of no more than 80 characters, and your full name(s) as author in the YAML at the top of this template. If you want to include a subtitle, something like “431 Project A Portfolio Report” is acceptable there. Otherwise, delete the subtitle section from the YAML. It’s no problem if your title has changed since we approved your Project A Plan.
Delete this note and all of my other instructions from this document. Please leave the headings and subheadings as they are, but feel encouraged to augment the R code we provide here as needed, rather than being obliged to replace it entirely.
Leave blank lines before and after every paragraph, every heading, and every code chunk in your Quarto file after the YAML.
Run spell-check (hit F7) before rendering the document to HTML.
Make sure you’ve checked through the items in the Report Checklist before Submission that we list on the Portfolio page.
An HTML version of this document is available to view at https://rpubs.com/TELOVE/ProjectA-portfolio-report-template-431-2024.
1 R Packages
Delete these instructions when submitting your work
Follow the instructions in the R Packages section of the Project A Plan page.
2 Data Ingest
Delete these instructions when submitting your work
data_url <-
"https://www.countyhealthrankings.org/sites/default/files/media/document/analytic_data2024.csv"
chr_2024_raw <- read_csv(data_url, skip = 1, guess_max = 4000,
show_col_types = FALSE) |>
select(fipscode, county, state, county_clustered, year,
ends_with("rawvalue"))3 State Selection
4 Variable Selection
5 Variable Cleaning and Renaming
6 Creating the Analysis 2 Predictor
7 Adding 2019 Data for the Analysis 3 Outcome
8 Arranging and Saving the Analytic Tibble
9 Print the Tibble
Delete these instructions when submitting your work
Follow the relevant instructions for this section found on the Plan page.
10 Numerical Summaries
Delete these instructions when submitting your work
Follow the relevant instructions for this section found on the Plan page.
Those instructions will help you create the four subsections labeled below.
10.1 Table of States by Binary Factor
10.2 describe_distribution() results
10.3 data_codebook() results
10.4 Distinct Values
11 The Codebook
Delete these instructions when submitting your work
Follow the relevant instructions for this section found on the Plan page.
Our add name of tibble tibble contains add code counties and add code variables.
| Variable | Role | Old Name | Description | Year(s) |
|---|---|---|---|---|
| fipscode | ID | fipscode |
FIPS code | – |
| state | ID | state |
State Abbreviation (list your states here) | – |
| county | ID | county |
County Name | – |
| etc. | ||||
| county_clustered | check | county_clustered |
Indicates county is ranked (all values should be 1) | 2024 |
12 Research Questions
Delete these instructions when submitting your work
Follow the relevant instructions for this section, and its subsections, found on the Plan page.
12.1 Analysis 1 Research Question
12.2 Analysis 2 Research Question
12.3 Analysis 3 Research Question
13 Analysis 1: Bayesian Linear Model
Delete these instructions when submitting your work
Follow the instructions on the Analyses page carefully.
13.1 Variables
13.2 Summaries
13.3 Approach
13.4 Conclusions
14 Analysis 2: Comparing Two Independent Samples
Delete these instructions when submitting your work
Follow the instructions on the Analyses page carefully.
14.1 Variables
14.2 Summaries
14.3 Approach
14.4 Conclusions
15 Analysis 3: Comparing an Outcome in CHR 2024 to its value in CHR 2019
Delete these instructions when submitting your work
Follow the instructions on the Analyses page carefully.
15.1 Variables
15.2 Summaries
15.3 Approach
15.4 Conclusions
16 Portfolio Reflections
Delete these instructions when submitting your work
The original “Reflections” section from your Project A Plan should not be included in the final portfolio report.
Instead, follow the instructions on our Portfolio page to complete this section by writing a new paragraph (containing at least four well-constructed complete English sentences) to answer the following question:
What was the most important thing you learned as a result of doing this project, and why?
17 Session Information
xfun::session_info()R version 4.4.1 (2024-06-14 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 22631)
Locale:
LC_COLLATE=English_United States.utf8
LC_CTYPE=English_United States.utf8
LC_MONETARY=English_United States.utf8
LC_NUMERIC=C
LC_TIME=English_United States.utf8
Package version:
askpass_1.2.0 backports_1.5.0 base64enc_0.1.3
bayestestR_0.14.0 bit_4.0.5 bit64_4.0.5
blob_1.2.4 broom_1.0.6 bslib_0.8.0
cachem_1.1.0 callr_3.7.6 cellranger_1.1.0
cli_3.6.3 clipr_0.8.0 coda_0.19-4.1
codetools_0.2-20 colorspace_2.1-1 compiler_4.4.1
conflicted_1.2.0 correlation_0.8.5 cpp11_0.4.7
crayon_1.5.3 curl_5.2.1 data.table_1.15.4
datasets_4.4.1 datawizard_0.12.2 DBI_1.2.3
dbplyr_2.5.0 digest_0.6.36 dplyr_1.1.4
dtplyr_1.3.1 easystats_0.7.3 effectsize_0.8.9
emmeans_1.10.3 estimability_1.5.1 evaluate_0.24.0
fansi_1.0.6 farver_2.1.2 fastmap_1.2.0
fontawesome_0.5.2 forcats_1.0.0 fs_1.6.4
gargle_1.5.2 generics_0.1.3 ggplot2_3.5.1
glue_1.7.0 googledrive_2.1.1 googlesheets4_1.1.1
graphics_4.4.1 grDevices_4.4.1 grid_4.4.1
gridExtra_2.3 gtable_0.3.5 haven_2.5.4
highr_0.11 hms_1.1.3 htmltools_0.5.8.1
htmlwidgets_1.6.4 httr_1.4.7 ids_1.0.1
insight_0.20.2 isoband_0.2.7 janitor_2.2.0
jquerylib_0.1.4 jsonlite_1.8.8 knitr_1.48
labeling_0.4.3 lattice_0.22-6 lifecycle_1.0.4
lubridate_1.9.3 magrittr_2.0.3 MASS_7.3-61
Matrix_1.7-0 memoise_2.0.1 methods_4.4.1
mgcv_1.9.1 mime_0.12 modelbased_0.8.8
modelr_0.1.11 multcomp_1.4-26 munsell_0.5.1
mvtnorm_1.2-5 naniar_1.1.0 nlme_3.1.164
norm_1.0.11.1 numDeriv_2016.8.1.1 openssl_2.2.0
parallel_4.4.1 parameters_0.22.1 performance_0.12.2
pillar_1.9.0 pkgconfig_2.0.3 plyr_1.8.9
prettyunits_1.2.0 processx_3.8.4 progress_1.2.3
ps_1.7.7 purrr_1.0.2 R6_2.5.1
ragg_1.3.2 rappdirs_0.3.3 RColorBrewer_1.1.3
Rcpp_1.0.13 readr_2.1.5 readxl_1.4.3
rematch_2.0.0 rematch2_2.1.2 report_0.5.9
reprex_2.1.1 rlang_1.1.4 rmarkdown_2.27
rstudioapi_0.16.0 rvest_1.0.4 sandwich_3.1-0
sass_0.4.9 scales_1.3.0 see_0.8.5
selectr_0.4.2 snakecase_0.11.1 splines_4.4.1
stats_4.4.1 stringi_1.8.4 stringr_1.5.1
survival_3.7-0 sys_3.4.2 systemfonts_1.1.0
textshaping_0.4.0 TH.data_1.1-2 tibble_3.2.1
tidyr_1.3.1 tidyselect_1.2.1 tidyverse_2.0.0
timechange_0.3.0 tinytex_0.52 tools_4.4.1
tzdb_0.4.0 UpSetR_1.4.0 utf8_1.2.4
utils_4.4.1 uuid_1.2.1 vctrs_0.6.5
viridis_0.6.5 viridisLite_0.4.2 visdat_0.6.0
vroom_1.6.5 withr_3.0.1 xfun_0.46
xml2_1.3.6 xtable_1.8-4 yaml_2.3.10
zoo_1.8-12