This book teaches the concepts and tools behind reporting modern
data analyses in a reproducible manner. Reproducibility is the idea
that data analyses should be published or made available with their
data and software code so that others may verify the findings and
build upon them. The need for reproducible report writing is
increasing dramatically as data analyses become more complex,
involving larger datasets and more sophisticated computations.
Reproducibility allows for people to focus on the actual content of
a data analysis, rather than on superficial details reported in a
written summary. In addition, reproducibility makes an analysis
more useful to others because the data and code that actually
conducted the analysis are available. This book will focus on
literate statistical analysis tools which allow one to publish data
analyses in a single document that allows others to easily execute
the same analysis to obtain the same results.
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