strip.plot {agricolae} | R Documentation |
The variance analysis of a strip-plot design is divided into three parts: the horizontal-factor analysis, the vertical-factor analysis, and the interaction analysis.
strip.plot(BLOCKS, COL, ROW, Y)
BLOCKS |
replications |
COL |
Factor column |
ROW |
Factor row |
Y |
Variable, response |
The strip-plot design is specifically suited for a two-factor experiment in which the desired precision for measuring the interaction effects between the two factors is higher than that for measuring the main efect two factors
BLOCKS |
vector, numeric |
COL |
vector, numeric |
ROW |
vector, numeric |
Y |
vector, numeric |
Felipe de Mendiburu
Statistical procedures for agricultural research. Kwanchai A. Gomez, Arturo A. Gomez. Second Edition. 1984.
# Yield library(agricolae) data(huasahuasi) attach(huasahuasi) modelo<-strip.plot(Block, Clon, Treat, yield) comparison<-LSD.test(yield,Clon,modelo$gl.a,modelo$Ea) comparison<-LSD.test(yield,Treat,modelo$gl.b,modelo$Eb)