agricolae (version 1.2-6)

carolina: 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

Value

model

1, 2 or 3

data

in order

carolina 1 :

set, male, female, progeny, replication, response ...

carolina 2 :

set, male, female, replication, response ...

carolina 3 :

set, male, female, replication, response ...

Details

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

References

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

See Also

DC

Examples

# NOT RUN {
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]
# }