rebuild package data

data-raw/package-datasets.R

@@ -108,18 +108,17 @@ usethis::use_data(ST_unique_list, overwrite = TRUE)
 ## formative element dictionaries
 load('misc/formative-elements/formative-elements.rda')
 ST_formative_elements <- ST.formative_elements
-names(ST_formative_elements) <- c("order","suborder","greatgroup","subgroup")
+names(ST_formative_elements) <- c("order", "suborder", "greatgroup", "subgroup")
 
 # find formative elements in order names and add to table
 y <- ST_formative_elements[["order"]]
 res <- data.frame(y$order, stringr::str_locate(y$order, gsub("(.*)s$","\\1", y$element)))
-colnames(res) <- c("order","element_start","element_end")
+colnames(res) <- c("order", "element_start", "element_end")
 ST_formative_elements[["order"]] <- merge(ST_formative_elements[["order"]], res, by = "order")
 
 usethis::use_data(ST_formative_elements, overwrite = TRUE)
 
-ST_feature_SKB <- jsonlite::read_json("https://github.com/ncss-tech/SoilKnowledgeBase/raw/main/inst/extdata/KST/2014_KST_EN_featurelist.json",
-                                      simplifyVector = TRUE)
+ST_feature_SKB <- jsonlite::read_json("https://github.com/ncss-tech/SoilKnowledgeBase/raw/main/inst/extdata/KST/2014_KST_EN_featurelist.json", simplifyVector = TRUE)
 
 # handle marked UTF8 strings
 ST_feature_SKB$description <- sapply(ST_feature_SKB$description, stringi::stri_enc_toascii)

misc/formative-elements/extract-and-prepare-dictionaries.R

@@ -20,10 +20,10 @@ str(subgroup)
 
 # pack into a list
 ST.formative_elements <- list(
-  soilorder=soilorder,
-  suborder=suborder,
-  greatgroup=greatgroup,
-  subgroup=subgroup
+  soilorder = soilorder,
+  suborder = suborder,
+  greatgroup = greatgroup,
+  subgroup = subgroup
 )
 
 # try saving as JSON