knitr::opts_chunk$set( collapse = TRUE, eval = FALSE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" ) library(knitr)
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")
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