selection.index (version 2.0.0)

mean_performance: Mean performance of phenotypic data

Description

Mean performance of phenotypic data

Usage

mean_performance(
  data,
  genotypes,
  replications,
  columns = NULL,
  main_plots = NULL,
  design_type = c("RCBD", "LSD", "SPD"),
  method = c("REML", "Yates", "Healy", "Regression", "Mean", "Bartlett")
)

Value

Dataframe of mean performance analysis

Arguments

data

data for analysis

genotypes

genotypes vector (sub-plot treatments in SPD)

replications

replication vector

columns

vector containing columns (required for Latin Square Design only)

main_plots

vector containing main plot treatments (required for Split Plot Design only)

design_type

experimental design type: "RCBD" (default), "LSD" (Latin Square), or "SPD" (Split Plot)

method

Method for missing value imputation: "REML" (default), "Yates", "Healy", "Regression", "Mean", or "Bartlett"

Examples

mean_performance(data = seldata[, 3:9], genotypes = seldata[, 2], replications = seldata[, 1])