carolina {agricolae} | R Documentation

## North Carolina Designs I, II and III

### Description

Statistic analysis of the Carolina I, II and III genetic designs.

### Usage

    carolina(model,data)

### Arguments

`model` | Constant
`data` | Data frame

### Details

model = 1,2 and 3 is I, II and III see carolina1,2 and 3.

### Value

`model` | model analysis (I, II or III) of caroline design

and variance and additive variance of male, female and male.female interaction.

### Author(s)

Felipe de Mendiburu

### References

Biometrical Methods in Quantitative Genetic Analysis, Singh, Chaudhary. 1979

### See Also

`DC`

### Examples

    library(agricolae)
    data(DC)
    carolina1 <- DC$carolina1
    # str(carolina1)
    output<-carolina(model=1,carolina1)
    output[][-1]

    carolina2 <- DC$carolina2
    # str(carolina2)
    majes<-subset(carolina2,carolina2[,1]==1)
    majes<-majes[,c(2,5,4,3,6:8)]
    output<-carolina(model=2,majes[,c(1:4,6)])
    output[][-1]

    carolina3 <- DC$carolina3
    # str(carolina3)
    output<-carolina(model=3,carolina3)
    output[][-1]

[Package agricolae version 1.2-9 Index]