adding malaria aggregate counts

R/malaria_outbreak_moz_2019_doc.R

@@ -0,0 +1,47 @@
+#' @title Fictional counts of malaria cases from Mozambique in 2019
+#'
+#' @description
+#' Fictional counts of malaria cases from Mozambique in 2019
+#'  
+#' @details
+#' This is fictional aggregate data with counts by date and region. 
+#'  
+#' @source This data is fictional based on data from Mozambique. 
+#' 
+#' The original dataset district_weekly_count_data.xlsx. 
+#' 
+#' This is version 1.0.  
+#' 
+#' This dataset is English.   
+#' 
+#' This dataset is licensed under [CC by-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) 
+#' 
+#' @format A data frame with 9628 rows and 4 columns
+#' 
+#' @docType data
+"district_weekly_count_data"
+
+
+#' @title Fictional counts of malaria cases from Mozambique in 2019
+#'
+#' @description
+#' Fictional counts of malaria cases from Mozambique in 2019
+#'  
+#' @details
+#' This is fictional aggregate data with counts by date, region and age group. 
+#'  
+#' @source This data is fictional based on data from Mozambique. It has been adapted 
+#' from \link{district_weekly_count_data}.
+#' 
+#' The original dataset malaria_facility_count_Data.rds. 
+#' 
+#' This is version 1.0.  
+#' 
+#' This dataset is English.   
+#' 
+#' This dataset is licensed under [CC by-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) 
+#' 
+#' @format A data frame with 3038 rows and 10 columns
+#' 
+#' @docType data
+"malaria_facility_count_data"

_pkgdown.yml

@@ -65,4 +65,9 @@ reference:
   - cases_clean
   - contacts_clean
   - followups_clean
-  - relationships_clean
+  - relationships_clean
+
+- subtitle: Fictional counts of malaria cases from Mozambique (2019) - English 
+  contents: 
+  - district_weekly_count_data
+  - malaria_facility_count_data

data-raw/district_weekly_count_data.R

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+## code to prepare `district_weekly_count_data` dataset goes here
+
+# Define the path to the Excel file in inst/extdata
+file_path <- system.file("extdata", "district_weekly_count_data.xlsx", package = "appliedepidata")
+
+# Read in the rds file using rio
+district_weekly_count_data <- rio::import(file_path)
+
+# process data as needed (e.g. cleaning, recoding, restructuring)
+
+
+# Save the data as an internal .rda file in the data/ directory
+usethis::use_data(district_weekly_count_data, overwrite = TRUE)
+
+
+
+

data-raw/malaria_facility_count_data.R

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+## code to prepare `malaria_facility_count_data` dataset goes here
+
+# Define the path to the Excel file in inst/extdata
+file_path <- system.file("extdata", "malaria_facility_count_data.rds", package = "appliedepidata")
+
+# Read in the rds file using rio
+malaria_facility_count_data <- rio::import(file_path)
+
+# process data as needed (e.g. cleaning, recoding, restructuring)
+
+## There is no reproducible code, however this is based off district_weekly_count_data.xlsx 
+
+# Save the data as an internal .rda file in the data/ directory
+usethis::use_data(malaria_facility_count_data, overwrite = TRUE)
+
+
+
+