order.group {agricolae} | R Documentation |

## Ordering the treatments according to the multiple comparison

### Description

This function allows us to compare the treatments averages or the adding of their ranges with the minimal significant difference which can vary from one comparison to another one.

### Usage

```
order.group(trt, means, N, MSerror, Tprob, std.err, parameter=1, snk=0,
DFerror=NULL,alpha=NULL,sdtdif=NULL,vartau=NULL,console)
```

### Arguments

`trt` |
Treatments |

`means` |
Means of treatment |

`N` |
Replications |

`MSerror` |
Mean square error |

`Tprob` |
minimum value for the comparison |

`std.err` |
standard error |

`parameter` |
Constante 1 (Sd), 0.5 (Sx) |

`snk` |
Constante = 1 (Student Newman Keuls) |

`DFerror` |
Degrees of freedom of the experimental error |

`alpha` |
Level of risk for the test |

`sdtdif` |
standard deviation of difference in BIB |

`vartau` |
matrix var-cov in PBIB |

`console` |
logical, print output |

### Details

This function was changed by orderPvalue function that use agricolae. Now the grouping in agricolae is with the probability of the treatments differences and alpha level.

### Value

The output is data frame.

`trt` |
Treatment Levels, Factor |

`means` |
height, Numeric |

`M` |
groups levels, Factor |

`N` |
replications, Numeric |

`std.err` |
Standard error, Numeric |

### Note

It is considered 81 labels as maximum for the formation of groups, greater number will not have label.

### Author(s)

Felipe de Mendiburu

### See Also

### Examples

```
library(agricolae)
treatments <- c("A","B","C","D","E","F")
means<-c(20,40,35,72,49,58)
std.err<-c(1.2, 2, 1.5, 2.4, 1, 3.1)
replications <- c(4,4,3,4,3,3)
MSerror <- 55.8
value.t <- 2.1314
groups<-order.group(treatments,means,replications,MSerror,value.t,std.err,console=FALSE)
print(groups)
```

*agricolae*version 1.3-7 Index]