augblock: Augmented block data

In plantbreeding: Analysis and visualization of data from plant breeding and genetics experiments

Description

The example dataset for Augmented randomized block design

Usage

data(augblock)

Format

A data frame with 78 observations on the following 4 variables.

var

a factor

blk

a numeric vector - blocks

trt

a numeric vector - treatments

gw

a numeric vector - grain weight

Examples

data(augblock)
out <- aug.rcb(dataframe = augblock, genotypes = "var", block = "blk", yvar = "gw")
out$anova  # analysis of variance 
out$adjusted_values # yield observed and expected value table  

# calculation of means
stab <- aggregate( gw ~ var, data=augblock, FUN= mean)

hist(stab$gw, col = "cadetblue", xlab = "Grain Yield",
 main = "Mean yields from Augmented Yield Trial")

plantbreeding documentation built on May 2, 2019, 4:54 p.m.