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Data and analyses described in Schmidt, Boehm, Tuten & Roorda (2019).

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Schmidt-Boehm-Tuten-Roorda_2019

This repo contains the raw data and analyses presented in:

Brian P. Schmidt, Alexandra E. Boehm, William S. Tuten, Austin Roorda. Spatial summation of individual cones in human color vision'

All analyses were conducted in the R programming language. Html versions of the analysis scripts are linked below. The files ending in .Rmd are the source code R notebook files. Scripts should be run in the order they are numbered.

  1. 01_Process-Data.nb.html takes the raw data in all_trial_data.csv and does some light filtering and sanity checking. The output of this script is filtered_data.csv.

  2. 02_Analyze-Data.nb.html contains the analyzes that are described in the manuscript.

Install

  1. Download and install Rstudio.

  2. Install dependencies: tidyverse, ggthemes, gridExtra, corrplot and car. From the R console:

install.packages(c("tidyverse", "ggthemes", "gridExtra", "corrplot", "car"))
  1. Clone this repo:
git clone https://github.com/bps10/Schmidt-Boehm-Tuten-Roorda_2019

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Data and analyses described in Schmidt, Boehm, Tuten & Roorda (2019).

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