Completely Randomized Design (CRD)

Description

The experiment consists of 16 treatments (cultivars) of sorghum conducted in a balanced squared lattice design and the yield by plot (kg/plot).

Usage

  data(sorghum)
  sorghum

Format

An incomplete balanced block design with 4 blocks, 16 treatments, and 5 repetitions, that is, the yield of each treatment is measured 5 times. sorghum is a list with 4 elements. The first tr is a factor of lenght 80 with 16 levels describing the treatments. The second dm is data.frame describing the design matrix. Its columns are x, bl (blocks) and r repetitions. The third y is a numeric vector the yields. The fourth dfm is a data frame with four columns. The first tree columns are the design matrix and the fourth is y.

Details

The experiment was conducted at EMBRAPA Milho e Sorgo (The Brazilian Agricultural Research Corporation, Corn and Sorghum section).

Source

Ramalho, M.A.P. and Ferreira, D.F. and Oliveira, A.C. (2000). Experimenta<c3><a7><c3><a3>o em Gen<c3><a9>tica e Melhoramento de Plantas. Editora UFLA, Lavras, Brazil, page 167.

Examples

library(ScottKnott)

data(sorghum) 

av <- aov(y ~ r/bl + x,
          data=sorghum$dfm)

sk <- SK(av,
         which='x',
         sig.level=0.05) 

summary(sk)

plot(sk)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(ScottKnott)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ScottKnott/sorghum.Rd_%03d_medium.png", width=480, height=480)
> ### Name: sorghum
> ### Title: Completely Randomized Design (CRD)
> ### Aliases: sorghum
> ### Keywords: datasets
> 
> ### ** Examples
> 
> library(ScottKnott)
> 
> data(sorghum) 
> 
> av <- aov(y ~ r/bl + x,
+           data=sorghum$dfm)
> 
> sk <- SK(av,
+          which='x',
+          sig.level=0.05) 
> 
> summary(sk)
 Levels Means SK(5%)
     14 10.70      a
      8 10.56      a
      5 10.00      a
      7  9.86      a
      9  9.56      a
      3  9.36      a
      1  8.76      a
      4  8.72      a
      2  8.60      a
     12  7.98      b
     10  7.74      b
     16  7.22      b
      6  7.20      b
     11  7.20      b
     13  6.80      b
     15  6.58      b
> 
> plot(sk)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>