resampling.model {agricolae} | R Documentation |
This process consists of finding the values of P-value by means of a re-sampling (permutation) process along with the values obtained by variance analysis.
resampling.model(model,data,k)
model |
model in R |
data |
data for the study of the model |
k |
number of re-samplings |
model |
model |
data |
data frame |
k |
constant numeric |
Felipe de Mendiburu
{Efron, B., Tibshirani, R. (1993) An Introduction to the Boostrap. Chapman and Hall/CRC } {Phillip I. Good, (2001) Resampling Methods. Birkhauser. Boston . Basel . Berlin }
#example 1 Simple linear regression library(agricolae) data(clay) model<-"ralstonia ~ days" analysis<-resampling.model(model,clay,k=200) #example 2 Analysis of variance: RCD data(sweetpotato) model<-"yield~virus" analysis<-resampling.model(model,sweetpotato,k=300) #example 3 Simple linear regression data(Glycoalkaloids) model<-"HPLC ~ spectrophotometer" analysis<-resampling.model(model,Glycoalkaloids,k=100) #example 4 Factorial in RCD data(potato) potato[,1]<-as.factor(potato[,1]) potato[,2]<-as.factor(potato[,2]) model<-"cutting~variety + date + variety:date" analysis<-resampling.model(model,potato,k=100)