R – Documenting in R and ANOVA/GLMM analyses

Ever wondered how you can write R script, document it, run the script, and document the output – all in one file?  Come join us, on February 18 in Crop Science Rm 121a starting at 9am,  as we learn all about R Markdown.   I’ll introduce R Markdown and then encourage everyone to use as we learn more about ANOVAs and GLMMs.

The Excel file that we will use for the second half of the workshop is downloadable here.

If you can’t make it here is a copy of the notes (created with R Markdown).

If you are a SAS user – keep an eye on this webpage for an upcoming workshop on how to use R Markdown with SAS.

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ANOVA in SAS

Let’s continue our journey with SAS and data, with a workshop that concentrates on data analysis – primarily partitioning of variation or ANOVA.

The notes and accompanying SAS code are available here.

CRD_output.pdf
rcbd_output.pdf
glmm1_output.pdf
glmm2_poisson_output.pdf

The podcast for this workshop is available here.  Please note that you must have a UGuelph account and you must either be on campus or using the UG VPN to view the podcast.

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Getting comfortable with your data in R: Descriptive statistics and visualizing your data

We will continue our journey with R and data, with a workshop that concentrates on data visualization and descriptive statistics.  Steps that we would undertake as we being working with our research data.

The notes and accompanying R code are available here.

The podcast for this workshop is available here.  PLease note that you must have a UGuelph account and you must either be on campus or using the UG VPN to view the podcast.

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