Anova table for Latin square design is made by R language and R Studio. We create a excel sheet including all data and it is imported to R and analyzed it using R functions. Anova table is constructed for following Latin square design.
Example 1:
A scientist is investigating the effect of four testing methods (A, B, C, D) on the assembly time for a automated mechanical system for automobile plant. Four different operators are selected for the study and the engineer knows that each assembly method produces such fatigue that the time required for the last assembly may be greater than the time required for the first, regardless of the method. That is, a trend develops in the required assembly time.
Question:
An experimenter is studying the effects of five different formulations of an explosive mixture used to manufacture of dynamite on the observed explosive force.Each formulation is mixed from a batch of row material that is only large enough for five formulations to be tested. Furthermore, the formulations are prepared by several operators, and there may be substantial differences in the skills and experience of the operators. Design the ANOVA table.
Next, construct the excel worksheet and save it as 'Data'. Download the worksheet
Download WorksheetThen, import it into the R Studio.
First we build the ANOVA table for Explosive force, Material, and Operator. Type below codes and press enter.
>anova=aov(Explosive_force~Material+Operators,data=Data)
>summary(anova)
Next we build the ANOVA table for Explosive force, Material, and Formulation. Type below codes and press enter.
>anova=aov(Explosive_force~Material+Formulation,data=Data)
>summary(anova)