fetch_data: Fetch data
In guiastrennec/ggxpose: Diagnostics for Pharmacometric Models

fetch_data

R Documentation

Fetch data

Description

Main internal function to get the data from different source and prepare it for plotting. Arguments are usually provided by 'data_opt()'.

Usage

fetch_data(
  xpdb,
  .problem = NULL,
  .subprob = NULL,
  .method = NULL,
  .source = "data",
  simtab = FALSE,
  filter = NULL,
  tidy = FALSE,
  index_col = NULL,
  value_col = NULL,
  post_processing = NULL,
  quiet = FALSE
)

Arguments

`xpdb`	An xpose database object.
`.problem`	The problem to be used, by default returns the last one.
`.subprob`	The subproblem to be used, by default returns the last one.
`.method`	The estimation method to be used, by default returns the last one.
`.source`	Define the location of the data in the xpdb. Should be either 'data' to use the output tables or the name of an output file attached to the xpdb.
`simtab`	Only used when 'data' is defined as the source and '.problem' is default. Should the data be coming from an estimation or a simulation table.
`filter`	A function used to filter the data e.g. filter = function(x) x[x$TIME > 20, ] where x is the data.
`tidy`	Logical, whether the data should be transformed to tidy data.
`index_col`	Only used when 'tidy' is defined a `TRUE` and `value_col` is `NULL`. Column names to use as index when tidying the data.
`value_col`	Only used when 'tidy' is defined a `TRUE` and `index_col` is `NULL`. Column names to be stacked when tidying the data.
`post_processing`	A function used to modify the data after it has been tidied up e.g. post_processing = function(x) dplyr::mutate(.data = x, variable = as.factor(.$variable)) where x is the tidy data.
`quiet`	Should messages be displayed to the console.