fill.design {sommer} | R Documentation |
The fill.design function allows the user to fill the missing rows and ranges from an experiment to run specific designs or apply a post blocking. The data frame requires the presence of 2 numeric columns indicating the x and y coordinates, here denominated rows and ranges. This can be effectively used for multi environment trials by using the 'by' argument where you specify the column that indicates the environments.
fill.design(x,rows="ROW",ranges="RANGE",by, extra)
x |
a dataframe with 2 obligatory columns; rows and ranges which can have different names and can be matched with the next arguments. |
rows |
the name of the numeric column that indicates one direction in the field. |
ranges |
the name of the numeric column that indicates the 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. |
extra |
name of the extra columns to be filled in the dataset based. This are filled based on the rows, ranges information. |
a new dataframe identical to the one provided but with missing rows and ranges filled in.
Giovanny Covarrubias-Pazaran
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
The core functions of the package mmer
####=========================================#### #### 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(DT_cpdata) # DT <- DT_cpdata # #### look at the data # head(DT) # #### fill the design # gg <- fill.design(x=DT, rows="Row",ranges="Col") # head(gg)