carolina {agricolae}

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]