Toolbox and Skillset of Reproducible Research

Andrey Koval
October 14, 2014

The Laboratory for Integrative Lifespan Research
Department of Psychology
University of Victoria

Traditional research workflow

traditional flow
academic paper

Reproducible research workflow

reproducible flow
as compared to traditional:
traditional flow

Advantages of RR

reproducible flow

  • Less prone to human error
  • Removes tedious jobs
  • Recordable workflow
  • Correcting mistakes later
  • Removes cognitive strain to synchronize analysis and discussion

4) Compare observed and modeled data

require(ggplot2)
ds <- mtcars
ds$mpg_modeled <- predict(lm(mpg ~ wt, mtcars))
p <- ggplot(ds, aes(x=wt, y=mpg)) 
# p <- p + geom_point() 
p <- p + geom_point(aes(y=mpg_modeled),color="red")
p

plot of chunk block4

4) Compare observed and modeled data

require(ggplot2)
ds <- mtcars
ds$mpg_modeled <- predict(lm(mpg ~ wt, mtcars))
p <- ggplot(ds, aes(x=wt, y=mpg)) 
p <- p + geom_point() 
p <- p + geom_line(aes(y=mpg_modeled),color="red")
p

plot of chunk block4a

5) Produce reports

that discuss this comparision and verbalize the conclusions that can be drawn from the analysis

We just did it!