Analysis of Experimental Designs using R - Practical
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Dated: December 2018
Author: Sam Dumble
In this webinar, Sam Dumble works through the steps involved in an analysis of experimental designs. This is a continuation of the webinar from 27th November - while the previous one focused on the concepts, this webinar actually takes you through the steps, running the data processing and analysis in R. The example he uses is for a randomised control block design, but the concepts described here form the basis for an analysis regardless of the design. This webinar was run by Stats4SD with grantees of the Collaborative Crop Research Program (CCRP) on 06 December 2018.
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