carolina: North Carolina Designs I, II and III

In myaseen208/agricolae: Statistical Procedures for Agricultural Research

North Carolina Designs I, II and III

Description

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

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

Usage

carolina(model, data)

Arguments

model	Constant
data	Data frame

Value

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

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

Author(s)

1. Felipe de Mendiburu ([e-mail])

2. Muhammad Yaseen ([e-mail])

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]

myaseen208/agricolae documentation built on April 4, 2023, 5:23 a.m.