read.md.demographics: Read demographics file
In neuroconductor/fsbrain: Managing and Visualizing Brain Surface Data

Description Usage Arguments Value See Also Examples

Load a list of subjects and metadata from a demographics file, i.e., a tab-separated file containing an arbitrary number of columns, one of which must be the subject id.

read.md.demographics(
  demographics_file,
  column_names = NULL,
  header = FALSE,
  scale_and_center = FALSE,
  sep = "",
  report = FALSE,
  stringsAsFactors = TRUE,
  group_column_name = NULL
)

`demographics_file,`	string. The path to the file.
`column_names,`	vector of strings. The column names to set in the returned dataframe. The length must match the number of columns in the file.
`header,`	logical. Whether the file starts with a header line.
`scale_and_center,`	logical. Whether to center and scale the data. Defaults to FALSE.
`sep,`	string. Separator passed to `read.table`, defaults to tabulator.
`report,`	logical. Whether to write an overview, i.e., some descriptive statistics for each column, to STDOUT. Defaults to FALSE. See `report.on.demographics`.
`stringsAsFactors,`	logical. Whether to convert strings in the input data to factors. Defaults to TRUE.
`group_column_name,`	string or NULL. If given, the column name of the group column. It must be a factor column with 2 levels. Enables group-comparison tests. Defaults to NULL.

a dataframe. The data in the file. String columns will be returned as factors, which you may want to adapt afterwards for the subject identifier column.

Other metadata functions: demographics.to.fsgd.file(), read.md.subjects(), report.on.demographics()

   demographics_file =
   system.file("extdata", "demographics.tsv", package = "fsbrain", mustWork = TRUE);
   column_names = c("subject_id", "group", "age");
   demographics = read.md.demographics(demographics_file,
   header = TRUE, column_names = column_names, report = FALSE);