qdec.table.skeleton: Generate skeleton dataframe for FreeSurfer QDEC long file...

In dfsp-spirit/fsbrain: Managing and Visualizing Brain Surface Data

Generate skeleton dataframe for FreeSurfer QDEC long file from subjects list.

Description

Generate skeleton dataframe for FreeSurfer QDEC long file from subjects list.

Usage

qdec.table.skeleton(
  subjects_list,
  isi = rep(0.8, length(subjects_list)),
  isi_name = "years",
  timepoint_names = c("_MR1", "_MR2")
)

Arguments

subjects_list	vector of character strings, the Freesurfer subject IDs (cross-sectional names, without any suffixes like _MR1, long, etc.)
isi	numerical vector, the inter-scan interval for the subjects, in a unit of your choice. Typically in years.
isi_name	character string, the name for the isi columns. Defaults to "years".
timepoint_names	vector of character strings, the timepoint names. These are mandatory for QDEC, so there should be very little reason to change them. Leave along unless you know what you are doing.

Value

data.frame with 3 columns named fsid and fsid-base and 'isi_name', a data.frame to use with the demographics.to.qdec.table.dat function.

See Also

The function demographics.to.qdec.table.dat to write the result to a QDEC file.

Examples

    dem = data.frame("ID"=paste("subject", seq(5), sep=""),
      "age"=sample.int(20, 5)+10L, "isi"=rnorm(5, 2.0, 0.1)); #sample data.
    qdec.table.skeleton(dem$ID, dem$isi);

dfsp-spirit/fsbrain documentation built on Nov. 28, 2024, 10:29 a.m.