Data Skills for Reproducible Research

Abstract

This book provides an overview of skills needed for reproducible research and open science using the statistical programming language R and tidyverse packages. It covers data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows.

Type
Publication
Lisa DeBruine, & Dale Barr. (2021). Data Skills for Reproducible Research (2.0.0). Zenodo. https://doi.org/10.5281/zenodo.6527195
Lisa DeBruine
Lisa DeBruine
Professor of Psychology

Lisa DeBruine is a professor of psychology at the University of Glasgow. Her substantive research is on the social perception of faces and kinship. Her meta-science interests include team science (especially the Psychological Science Accelerator), open documentation, data simulation, web-based tools for data collection and stimulus generation, and teaching computational reproducibility.

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