sommer (version 3.2)

blockerL: Applying linear postblocking in a field

Description

The blockerL function takes a dataframe that contains columns indicating x and y coordinates and use them to create linear blocking with different numbers of row width. For example, a square field with no blocks after applying the function will have 2 new columns (in row and range direction) for the linear blocking desired.

Usage

blockerL(dat, nr= 5, rows="ROW",
           ranges="RANGE", by=NULL,
           shiftF=0, shiftB=0)

Arguments

dat

a dataframe with 2 obligatory columns; rows and ranges which can have different names and can be matched with the following arguments.

nr

number of rows width of the block.

rows

the name of the numeric column that indicates the x coordinate direction in the field.

ranges

the name of the numeric column that indicates the y coordinate other direction in the field.

by

optional argument to indicate the name of the column of the dataframe x that indicates the environments so the field is filled by environment.

shiftF

an integer value indicating the number of rows or ranges to shift the block. If positive, the blocking is shifted to the right. If negative, the blocking is shifted to the right.

shiftB

an integer value indicating the number of rows or ranges to shift the block. If positive, the blocking is shifted one level up. If negative, the blocking is shifted one level down.

Value

$fin

a new dataframe with a 2 new columns for linear blocking forward and backwards.

References

Covarrubias-Pazaran G (2016) Genome assisted prediction of quantitative traits using the R package sommer. PLoS ONE 11(6): doi:10.1371/journal.pone.0156744

Fikret Isik. 2009. Analysis of Diallel Mating Designs. North Carolina State University, Raleigh, USA.

See Also

The core functions of the package mmer and mmer2

Examples

# NOT RUN {
  
####=========================================####
#### For CRAN time limitations most lines in the 
#### examples are silenced with one '#' mark, 
#### remove them and run the examples using
#### command + shift + C |OR| control + shift + C
####=========================================####
data(CPdata)
#### look at the data
head(CPpheno)
#### fill the design
gg <- fill.design(x=CPpheno, rows="Row",ranges="Col")
head(gg)
#### apply the postblocking 
gg2 <- blockerL(dat=gg, nr= 5, rows="Col",ranges="Row")
head(gg2)
#### see the new blocking
# lattice::levelplot(LBLOCKB~Row*Col|FIELDINST, data=gg2)
# lattice::levelplot(LBLOCKF~Row*Col|FIELDINST, data=gg2)
#### now you can use them in your mixed models


# }