fsbrain (version 0.5.5)

read.md.demographics: Read demographics file

Description

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.

Usage

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

Value

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.

Arguments

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.

See Also

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

Examples

   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);