read_data

A string with the name of the file to be read into R. The
string should include the file extension.

file_name

A string with the path to the folder in which the file to
read is located. Default is <code>NULL</code>.

file_path

Logical. If <code>TRUE</code>, prints messages about the
progress of the function. Default is <code>TRUE</code>.

notification


Reads a File in a txt or csv Format that Contains a Table and Creates a Data
Frame from it


Prepares data for statistical analysis (e.g., analysis of variance
;ANOVA) by enabling the user to easily and quickly merge (using the
file_merge() function) raw data files into one merged table and then
aggregate the merged table (using the prep() function) into a finalized
table while keeping track and summarizing every step of the preparation.
The finalized table contains several possibilities for dependent measures of
the dependent variable. Most suitable when measuring variables in an
interval or ratio scale (e.g., reaction-times) and/or discrete values such
as accuracy. Main functions included are file_merge() and prep(). The
file_merge() function vertically merges individual data files (in a long
format) in which each line is a single observation to one single dataset.
The prep() function aggregates the single dataset according to any
combination of grouping variables (i.e., between-subjects and
within-subjects independent variables, respectively), and returns a data
frame with a number of dependent measures for further analysis for each cell
according to the combination of provided grouping variables. Dependent
measures for each cell include among others means before and after rejecting
all values according to a flexible standard deviation criteria, number of
rejected values according to the flexible standard deviation criteria,
proportions of rejected values according to the flexible standard deviation
criteria, number of values before rejection, means after rejecting values
according to procedures described in Van Selst & Jolicoeur (1994; suitable
when measuring reaction-times), standard deviations, medians, means according
to any percentile (e.g., 0.05, 0.25, 0.75, 0.95) and harmonic means. The data
frame prep() returns can also be exported as a txt file to be used for
statistical analysis in other statistical programs.

read_data: Reads a File in a txt or csv Format that Contains a Table and Creates a Data Frame from it

Description

Usage

Arguments

Value