Closed grabear closed 5 years ago
Our current way of doing this is using a function and adding the data to the global environment with:
# A function for accessing variables. get_static_data <- function(...) { data <- list() # Create a list for validating metacoder observation data basic_names <- c("otu_abundance", "otu_annotations") analyzed_names <- c("taxa_abundance", "otu_proportions", "taxa_proportions") all_names <- c(basic_names, analyzed_names) valid_list <- list(basic = basic_names, analyzed = analyzed_names, all = all_names) # Create various rank based lists ranks <- list(c("Kingdom"), c("Phylum"), c("Class"), c("Order"), c("Family"), c("Genus"), c("Species")) rank_index <- list("Kingdom" = 1, "Phylum" = 2, "Class" = 3, "Order" = 4, "Family" = 5, "Genus" = 6, "Species" = 7) mc_df_rank_list <- list("Kingdom" = 4, "Phylum" = 5, "Class" = 6, "Order" = 7, "Family" = 8, "Genus" = 9, "Species" = 10) format_list <- list("phyloseq_format" = 0, "raw_format" = 1, "basic_format" = 2, "analyzed_format" = 3) data <- list(valid_list = valid_list, ranks = ranks, rank_index = rank_index, mc_df_rank_list = mc_df_rank_list) list2env(data[...], envir = .GlobalEnv) }
However a more elegant solution might be to create a "package environment" (link so that this data does not easily disrupt the end users experience.
Duplicate of #8
Our current way of doing this is using a function and adding the data to the global environment with:
However a more elegant solution might be to create a "package environment" (link so that this data does not easily disrupt the end users experience.