strip.plot {agricolae}R Documentation

Strip-Plot analysis

Description

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.

Usage

strip.plot(BLOCKS, COL, ROW, Y)

Arguments

BLOCKS replications
COL Factor column
ROW Factor row
Y Variable, response

Details

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

Value

BLOCKS vector, numeric
COL vector, numeric
ROW vector, numeric
Y vector, numeric

Author(s)

Felipe de Mendiburu

References

Statistical procedures for agricultural research. Kwanchai A. Gomez, Arturo A. Gomez. Second Edition. 1984.

Examples

# 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)

[Package agricolae version 1.0-6 Index]