agricolae (version 1.0-1)

carolina: North Carolina Designs I, II y 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 I : (set, male, female, progeny, replication, response ....) carolina II : (set, male, female, replication, response ....) carolina III: (set, male, female, replication, response ....)

Details

model = 1 is carolina I model = 2 is carolina II model = 3 is carolina III

References

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

See Also

carolina1, carolina2, carolina3

Examples

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

data(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]

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