create environments contain a set of data frames filtered for each population

Usage

create_popn_envir(
  data_names,
  popn,
  subjid_string = "subjid",
  rm_from_frame = TRUE,
  frame = parent.frame(),
  verbose = options()$verbose
)

Arguments

data_names: a character vector of the key data frames to be filtered
popn: a data frame one-row per participant a subjid variable and a column for each population indicating if a participant belongs to the population. The names of the variables must match up to the values in meta_table$Population.
subjid_string: the character naming the column used in each data frame from data_names and popn, to identify the subjid.
rm_from_frame: a logical indicating if the data sets should be removed from the frame environment
frame: the frame in which the original list of data sets are found, and in which the new environments will be contained.
verbose: logical to print information on changes to the global environment or external files. Defaults to options()$verbose.

Details

Now to use the data frames defined above in data_names you have to either directly call attach(safety), for example or look-up with attach_pop(1.01) for a table number. There are separate R environments made for each of the populations in population & population_title be careful to use detach(safety) - this is automated with write_table() and write_ggplot()