pty.aovmet | R Documentation |
Explain a fitted model for a multi environment trial (MET) with a RCBD in each environment in plain English.
pty.aovmet(
trait,
geno,
env,
rep,
dfr,
maxp = 0.1,
author = "International Potato Center",
format = c("html", "word", "pdf")
)
trait |
The trait to analize. |
geno |
The genotypes. |
env |
The environments. |
rep |
The replications. |
dfr |
The name of the data frame containing the data. |
maxp |
Maximum allowed proportion of missing values to estimate, default is 10%. |
author |
Report author. |
format |
The output file format for the report, |
It fits a linear model for a MET with a RCBD and explains the results. If data is unbalanced, missing values are estimated up to an specified maximum proportion, 10% by default. Genotypes and environments are considered as fixed factors while the blocks are considered as random and nested into the environments.
It returns an explanation about the MET with a RCBD fitted model.
Raul Eyzaguirre.
pty.aovmet("y", "geno", "env", "rep", met8x12)
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