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(BLOCK, COL, ROW, Y)
```

### Arguments

 `BLOCK` 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

Data and analysis of the variance of the strip plot design.

### Author(s)

Felipe de Mendiburu

### References

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

`ssp.plot`, `sp.plot`, `design.split`, `design.strip `

### Examples

```# Yield
library(agricolae)
data(huasahuasi)
YIELD<-huasahuasi\$YIELD
market <- YIELD\$y1da + YIELD\$y2da
non_market <- YIELD\$y3da
yield <- market + non_market
model<-with(YIELD,strip.plot(block, clon, trt, yield))
out1<-with(YIELD,LSD.test(yield,clon,model\$gl.a,model\$Ea))
oldpar<-par(mar=c(3,8,1,1),cex=0.8)
plot(out1,xlim=c(0,80),horiz=TRUE,las=1)
out2<-with(YIELD,LSD.test(yield,trt,model\$gl.b,model\$Eb))
plot(out2,xlim=c(0,80),horiz=TRUE,las=1)
par(oldpar)
```

[Package agricolae version 1.3-5 Index]