The goal of shlab.imgct
is to streamline the processing and analysis
of participant category responses to blocks of images.
You can install the ongoing development version from GitHub with:
# install.packages("devtools")
devtools::install_github("sokolhessnerlab/shlab.imgct")
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")