repo.met | R Documentation |
Produces an automatic report for selected traits in a multi environment trial (MET) with a RCBD in each environment.
repo.met(
traits,
geno,
env,
rep,
dfr,
maxp = 0.1,
pe = FALSE,
se = FALSE,
title = "Automatic report for a MET with a RCBD",
subtitle = NULL,
author = "International Potato Center",
format = c("html", "word", "pdf"),
server = FALSE,
server_dir_name = "directory",
server_file_name = "filename"
)
traits |
The traits 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%. |
pe |
Logical. If |
se |
Logical. If |
title |
Report title. |
subtitle |
Report subtitle. |
author |
Report author. |
format |
The output file format for the report, |
server |
Logical. If |
server_dir_name |
If |
server_file_name |
If |
It fits a linear model for a MET with a RCBD for the selected trait. 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 for ANOVA. For variance components estimation all the factors are treated as random.
It returns an automatic report about the MET with a RCBD fitted model.
Raul Eyzaguirre.
repo.met(c("rytha", "fytha"), "geno", "env", "rep", megaclones)
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