README.md

In sokolhessnerlab/shlab.imgct: Sokol-Hessner Lab image categorization task for R.

shlab.imgct

The goal of shlab.imgct is to streamline the processing and analysis of participant category responses to blocks of images.

Installation

You can install the ongoing development version from GitHub with:

# install.packages("devtools")
devtools::install_github("sokolhessnerlab/shlab.imgct")

Example

This is a basic example which shows you how to solve a common problem:

library(shlab.imgct)

# Set your path to relevant task data
datapath <- "path/to/data"

# shlab.imgct::clean(datapath) # can be used as convenience
shlab.imgct::clean_qualtrics_export(datapath)

shlab.imgct::validate_all_participants(datapath)

shlab.imgct::categorize(datapath, threshold = 3)

shlab.imgct::analyze(datapath, "categorized_3_valid.tsv")

sokolhessnerlab/shlab.imgct documentation built on Oct. 4, 2020, 7:31 a.m.