MANE 6313¶
Week 5, Module B¶
Student Learning Outcome¶
Analyze simple comparative experiments and experiments with a single factor.
Module Learning Outcome¶
Preparing data from a randomized complete block design in R.
Problem 4.8 (9th Edition Textbook)¶
Problem 4.8 - Spreadsheet¶
Data Preparation¶
Three different approaches:
- Microsoft Excel Spreadsheet
- R code
- agricolae package
Model Data Requirements¶
-
Models will have form of response~factor1+factor2 for a randomized block design
-
Response variable must be numeric
- All factor variables must be of type factor or character
Spreadsheet Approach¶
Spreadsheet Approach, part 2¶
- Watch carefully the variable declarations when importing Excel Spreadsheets
- readxl will try to import all variables as numeric if possible
-
Can cause problems in aov() command
-
Change factors from numeric to character when importing or
- add as.factor(var) or factor(var) in the model statement for numerica data
R Approach¶
agricolae Package¶
- Tools to build data frames for all of the experiments in Chapter 4 with randomized run order
- May be (or will be) difficult to use with homework problems
- Will be discussed in detail in Module C