readbulk (version 1.1.4)

read_opensesame: Read and combine raw OpenSesame data

Description

Read and combine multiple raw data files that were collected with OpenSesame (Mathot, Schreij, & Theeuwes, 2012). The files will be merged into one data.frame.

Usage

read_opensesame(
  directory = ".",
  subdirectories = FALSE,
  extension = NULL,
  data = NULL,
  verbose = TRUE
)

Value

A data.frame containing the merged raw data.

One column in the data.frame (File) contains the name of the raw data file. If the subdirectories option is set, an additional column (Subdirectory) with the name of the subdirectory is added.

Arguments

directory

a character string. Name of the folder where the raw data are stored. If it does not contain an absolute path, the file name is relative to the current working directory. Defaults to current working directory.

subdirectories

logical indicating whether the directory contains subdirectories. If FALSE (the default), it is assumed that all raw data files are directly included in the directory. If TRUE, it is assumed that the raw data files are stored in folders within the directory. Alternatively, a vector of folder names that contain the raw data.

extension

an optional character string. If specified, only files ending with the specified extension will be merged.

data

A data.frame to which the new data will be added. This is optional, and an empty data.frame is used if none is provided.

verbose

logical indicating whether function should report its progress.

Details

OpenSesame generally produces an output .csv file for each participant in the experiment. This is handy during data collection, but for the analysis it is often useful to combine many such files into a single data.frame. This is the single task of the read_opensesame function, which loads all files from a given directory and attempts to combine them into a data.frame.

read_opensesame provides a wrapper around read_bulk to load the raw data files. After loading, the different data files are merged using rbind.fill. This function can deal with varying column names across files, and still places data into the appropriate columns. If a column is not present in a specific file, it will be filled with NA.

References

Mathot, S., Schreij, D., & Theeuwes, J. (2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314-324.

See Also

read_bulk for reading and combining multiple data files that have other file formats.

Examples

if (FALSE) {
# Read single raw data file from OpenSesame
raw_data <- utils::read.csv("raw_data/subject-1.csv",encoding = "UTF-8")

# Merge all files in the main folder "raw_data"
# (which is in the current working directory)
raw_data <- read_opensesame(directory = "raw_data")

# Merge files with file extension ".csv"
raw_data <- read_opensesame(directory = "raw_data",
  extension = ".csv")

# Merge all files stored in separate folders
# within the folder "raw_data"
raw_data <- read_opensesame(directory = "raw_data",
  subdirectories = TRUE)

# Merge all raw data stored in the folders "Session1"
# and "Session2" within the folder "raw_data"
raw_data <- read_opensesame(directory = "raw_data",
  subdirectories = c("Session1","Session2"))

# Export merged data to a file using write.table
write.table(raw_data, file = "raw_data.csv",
  sep=",", row.names = FALSE)
}