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) YIELD<-huasahuasi$YIELD attach(YIELD) market <- y1da + y2da non_market <- y3da yield <- market + non_market model<-strip.plot(block, clon, trt, yield) comparison<-LSD.test(yield,clon,model$gl.a,model$Ea) comparison<-LSD.test(yield,trt,model$gl.b,model$Eb)