Nothing
#' fMRI data
#'
#' fMRI data assessing relation between individual differences in the ability to recognize
#' faces and cars and thickness of the superficial, middle, and deep layers of the
#' fusiform face area, as assessed by high-resolution fMRI recognition (Williams et al, 2019, under review)
#'
#' \tabular{lll}{
#' \strong{Subject}\tab\code{numeric}\tab Particicpant ID number\cr
#' \strong{Face} \tab \code{numeric} \tab Standardized score on face recognition battery\cr
#' \strong{Vehicle} \tab \code{numeric} \tab Standardized score on vehicle recognition battery\cr
#' \strong{Superficial} \tab \code{numeric} \tab Depth in mm of superficial layer of FFA\cr
#' \strong{Middle} \tab \code{numeric} \tab Depth in mm of middle layer of FFA\cr
#' \strong{Bform} \tab \code{numeric} \tab Depth in mm of deep layer of FFA\cr
#' }
#' @docType data
#' @keywords datasets
#' @name fmri
#' @usage data(fmri)
#' @references McGuigin, R.W., Newton, A.T., Tamber-Rosenau, B., Tomarken, A.J, & Gauthier, I. (under review). Thickness of deep layers in the fusiform face area predicts face recognition.
#' @format A data.frame with 13 rows and 6 columns.
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.