Description Usage Arguments Value Examples

The function gives ANOVA, R-square of the model, normality testing of residuals, SEm (standard error of mean), SEd (standard error of difference), interpretation of ANOVA results and multiple comparison test for means.

1 |

`data` |
dependent variables |

`block` |
vector containing replications |

`main.plot` |
vector containing main-plot levels |

`sub.plot` |
vector containing sub-plot levels |

`mean.comparison.test` |
0 for no test, 1 for LSD test, 2 for Dunccan test and 3 for HSD test |

ANOVA, interpretation of ANOVA, R-square, normality test result, SEm, SEd and multiple comparison test result

1 2 3 4 5 6 | ```
data(splitdata)
#Using Date of sowing as Main-plot factor and varieties as sub-plot factor and using LSD test
#Split plot analysis with LSD test for Yield
splitplot(splitdata[4],splitdata$Replication,splitdata$Date_of_Sowing,splitdata$Varities,1)
#Split plot analysis with LSD test for both Yield and Plant Height
splitplot(splitdata[4:5],splitdata$Replication,splitdata$Date_of_Sowing,splitdata$Varities,1)
``` |

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