Read from and Write to a Data File

Generalized data input-output functionality with specifics for common files.

write_data saves inputted data out to a data file if requested and returns it to the console, invisible-ly. Currently available for yaml, csv, and json file extensions.
read_data reads in a specified data file. Specific functions available include read_rodents, read_rodents_dataset, read_covariates, read_climate_forecasts, read_newmoons, and read_metadata.

Usage

write_data(
  x = NULL,
  main = ".",
  subdirectory = "data",
  save = TRUE,
  overwrite = TRUE,
  filename = NULL,
  quiet = FALSE
)

read_data(
  main = ".",
  data_name = NULL,
  dataset = "all",
  datasets = prefab_datasets()
)

read_rodents_dataset(main = ".", dataset = "all")

read_rodents(main = ".", datasets = prefab_datasets())

read_newmoons(main = ".")

read_covariates(main = ".")

read_metadata(main = ".")

read_climate_forecasts(main = ".")

Arguments

x

Data, such as a data.frame or list, to be written out.

main

character value of the name of the main component of the directory tree.

subdirectory

character value defining the data subdirectory of the portalcasting directory tree.

save

logical indicator controlling if x should be saved out.

overwrite

logical indicator of whether or not file writing should occur even if a local copy already exists.

filename

character name of the file for saving x.

quiet

logical indicator if messages should be quieted.

data_name

character representation of the data needed. Current options include "rodents", "rodents_table", "covariates", "climate_forecasts", "newmoons", and "metadata".

dataset, datasets

character of the grouping name(s) used to define the rodents. Standard options are "all", "controls", and "exclosures". dataset can only be length 1, datasets is not restricted in length.

Value

write_data: x as input, invisible-ly.

read_data: data requested, typically as a data.frame or list.

See also

File read-write functions: directory configuration file

Examples

 
 if (FALSE) {
   main1 <- file.path(tempdir(), "io")
   setup_dir(main = main1)

   write_data(main     = main1, 
              x        = data.frame(rnorm(10)), 
              filename = "xx.csv")

   read_data(main = main1)
   read_rodents(main = main1)
   read_rodents_dataset(main = main1)
   read_covariates(main = main1)
   read_climate_forecasts(main = main1)
   read_newmoons(main = main1)
   read_metadata(main = main1)

   unlink(main1, force = TRUE, recursive = TRUE)
 }