Resources and references

Here are some useful online references that related to topics discussed during the workshop.

Modeling

• https://www3.nd.edu/~steve/Rcourse/Lecture7v1.pdf

• https://tutorials.iq.harvard.edu/R/Rstatistics/Rstatistics.html

• http://www.statslab.cam.ac.uk/~pat/redwsheets.pdf

tidyverse

• https://www.tidyverse.org/

• http://r4ds.had.co.nz/

• https://jrnold.github.io/r4ds-exercise-solutions/

Correlation and Regression

• https://www.statmethods.net/stats/regression.html

• http://rcompanion.org/handbook/F_12.html

Multiple regression

• http://www.statmethods.net/stats/regression.html

• http://ww2.coastal.edu/kingw/statistics/R-tutorials/multregr.html

• http://www.r-bloggers.com/r-tutorial-series-multiple-linear-regression/

• https://newonlinecourses.science.psu.edu/stat501/node/283/

Nonlinear regression

• https://www.jstatsoft.org/article/view/v066i05/v66i05.pdf

• http://www.apsnet.org/edcenter/advanced/topics/EcologyAndEpidemiologyInR/DiseaseProgress/Pages/NonlinearRegression.aspx

Books and other articles

• Nonlinear Regression with R: https://www.springer.com/la/book/9780387096155

• Extending the Linear Model with R: https://www.crcpress.com/Extending-the-Linear-Model-with-R-Generalized-Linear-Mixed-Effects-and/Faraway/p/book/9781498720960