This report is automatically generated with the R
package knitr
(version 1.39
)
.
--- title: "05_MS4 Ph2 MeHg Median Conc" author: "Mercury Program and Basin Planning Unit" date: '2022-06-15' output: html_document: code_folding: show toc: TRUE toc_float: TRUE toc_depth: 3 runtime: shiny assets: css: - "http://fonts.googleapis.com/css?family=Raleway:300" - "http://fonts.googleapis.com/css?family=Oxygen" --- <style> body{ font-family: 'Oxygen', sans-serif; font-size: 16px; line-height: 24px; } h1,h2,h3,h4 { font-family: 'Raleway', sans-serif; } .container { width: 1250px; } h3 { background-color: #D4DAEC; text-indent: 50px; } h4 { text-indent: 75px; margin-top: 35px; margin-bottom: 5px; } </style> ```{r setup, include=FALSE} knitr::opts_chunk$set(echo=TRUE, warning=FALSE, message=FALSE, fig.width=9.5) ``` ```{r Libraries, echo=FALSE} library(kableExtra) # better formatting of tables library(shiny) # Had issue trying to set WD with Shiny in R project, reset working directory of rproj wd <- rstudioapi::getActiveProject() setwd(wd) source("R Functions/functions_estimate NDDNQ values.R") source("R Functions/functions_QA data.R") ``` # Load and Tidy Data ## MeHg: 2010 Urban Waterways Data ###Define columns variable for repeat use later ```{r} # Columns to select columns_select <- c("SourceID", "SourceRow", "StationName", "Watershed", "WatershedSampleNumber", "SiteNumber", "SampleDate", "SampleTime", "Month", "SeasonCollected", "EventType", "Result", "Unit", "WeatherType") ``` ###Load data ```{r} urban2010_data <- readxl::read_xlsx(paste0(wd, "/Reeval_Source_Analysis/Source Data/05_Urban Runoff/2010_Urban_Waterways_MeHg_Data.xlsx"), sheet = "2010_Data_Clean") %>% chara_to_NumDate ``` ###Tidy data ```{r} urban2010_clean_format <- urban2010_data %>% #Clean up dates mutate(SampleDate = as.Date(SampleDate, origin = "1899-12-30")) ``` ###Find Site-Specific MeHg Median and Mean Concentrations by Weather Type ```{r} urban2010_sitemedian <- urban2010_clean_format %>% group_by(StationName, WeatherType) %>% mutate(SiteMedian = median(Result, na.rm=T), SiteMean = mean(Result, na.rm=T)) %>% distinct(StationName, WeatherType, SiteMedian, .keep_all = TRUE) %>% select(StationName, Watershed, WeatherType, SiteMedian, SiteMean, Unit) ``` ###Find Seasonal MeHg Median and Mean Concentrations ```{r} urban2010_weathermedian <- urban2010_sitemedian %>% group_by(WeatherType) %>% summarise(WeatherMedian = median(SiteMedian, na.rm=T), WeatherMean = mean(SiteMean, na.rm=T), N = n(), WeatherMedianMax = max(SiteMedian, na.rm=T), WeatherMedianMin = min(SiteMedian, na.rm=T)) urban2010_weathermedian %>% kbl(align='lcc', caption="Urban MS4 Ph2 MeHg Median Concentration") %>% kable_paper('hover', full_width=T) %>% kable_styling(fixed_thead = T) ``` ### Export to excel ```{r} writexl::write_xlsx(urban2010_weathermedian, paste0(wd, "/Reeval_Source_Analysis/Source Data/05_Urban Runoff/05_Urban MS4 Ph2 MeHg Median Concentration", today(), ".xlsx")) ```
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The R session information (including the OS info, R version and all packages used):
sessionInfo()
## R version 4.2.2 (2022-10-31 ucrt) ## Platform: x86_64-w64-mingw32/x64 (64-bit) ## Running under: Windows 10 x64 (build 22621) ## ## Matrix products: default ## ## locale: ## [1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8 ## [3] LC_MONETARY=English_United States.utf8 LC_NUMERIC=C ## [5] LC_TIME=English_United States.utf8 ## ## attached base packages: ## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: ## [1] lubridate_1.8.0 plotly_4.10.0 readxl_1.4.0 actuar_3.2-2 ## [5] NADA_1.6-1.1 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.9 ## [9] purrr_0.3.4 readr_2.1.2 tidyr_1.2.0 tibble_3.1.7 ## [13] ggplot2_3.3.6 tidyverse_1.3.1 fitdistrplus_1.1-8 survival_3.4-0 ## [17] MASS_7.3-58.1 ## ## loaded via a namespace (and not attached): ## [1] lattice_0.20-45 assertthat_0.2.1 digest_0.6.29 utf8_1.2.2 ## [5] R6_2.5.1 cellranger_1.1.0 backports_1.4.1 reprex_2.0.1 ## [9] evaluate_0.15 httr_1.4.3 highr_0.9 pillar_1.7.0 ## [13] rlang_1.0.2 lazyeval_0.2.2 rstudioapi_0.13 data.table_1.14.2 ## [17] Matrix_1.5-1 rmarkdown_2.14 labeling_0.4.2 splines_4.2.2 ## [21] htmlwidgets_1.5.4 munsell_0.5.0 broom_0.8.0 compiler_4.2.2 ## [25] modelr_0.1.8 xfun_0.31 pkgconfig_2.0.3 htmltools_0.5.2 ## [29] tidyselect_1.1.2 viridisLite_0.4.0 fansi_1.0.3 crayon_1.5.1 ## [33] tzdb_0.3.0 dbplyr_2.2.0 withr_2.5.0 grid_4.2.2 ## [37] jsonlite_1.8.0 gtable_0.3.0 lifecycle_1.0.1 DBI_1.1.2 ## [41] magrittr_2.0.3 scales_1.2.0 writexl_1.4.0 cli_3.3.0 ## [45] stringi_1.7.6 farver_2.1.0 fs_1.5.2 xml2_1.3.3 ## [49] ellipsis_0.3.2 generics_0.1.2 vctrs_0.4.1 expint_0.1-7 ## [53] RColorBrewer_1.1-3 tools_4.2.2 glue_1.6.2 hms_1.1.1 ## [57] yaml_2.3.5 fastmap_1.1.0 colorspace_2.0-3 rvest_1.0.2 ## [61] knitr_1.39 haven_2.5.0
Sys.time()
## [1] "2023-12-27 10:29:38 PST"