The R Script: New Treatments as Random Effect | Analysis of Augmented Block Design Using R Part 3: Analyzing Treatments as Random Effects

Now let's write the script to fit the linear mixed model to the data, with an assumption that we will treat the new Entries as random effect. In this next video we demonstrate how we will fit the mixed model.

Click here to download the source of the R script used in the talk

Click here to download an example data file that may be used along with the Script

Quiz

Question

Question : The colon between Entry and new in the model definition statement TSW ~ entryc +(1|Block) +(1|Entry:new) is:

A shortcut for having multiple random variables.

Incorrect: Explanation: In the model the interaction between Entry and new are being treated as random effects.

Used to signify that this random variable incorporates entry as a new variable in the model.

Incorrect: Explanation: In the model the interaction between Entry and new are being treated as random effects.

Instructs R that Entry is proportional to new

Incorrect: Explanation: In the model the interaction between Entry and new are being treated as random effects.

Used to instruct R to consider interaction between the variable new and Entry as random.

Correct: Explanation: In the model the interaction between Entry and new are being treated as random effects.

Looks Good! Correct: Explanation: In the model the interaction between Entry and new are being treated as random effects.