In nandp1/gpbStat: Comprehensive Statistical Analysis of Plant Breeding Experiments

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gpbStat

The package is used for statistical analysis of Plant Breeding experiments.

Package Website https://nandp1.github.io/gpbStat/

Note: In the latest version 0.3.1 estimation of Kings Variance is not included.

Installation

Install latest package from Github through

install.packages("devtools")
library(devtools)
install_github("nandp1/gpbStat")

Install gpbStat from CRAN with:

install.packages("gpbStat")

Example

Line by Tester analysis (only crosses).

# Loading the gpbStat package
library(gpbStat)

# Loading dataset
data(rcbdltc)


## Now by using function ltc we analyze the data.
## The first parameter of `ltc`  function is "data" followed by replication, line, tester and dependent variable(yield)
results1 = ltc(rcbdltc, replication, line, tester, yield)

## Viewing the results
results1

# Similarly we analyze the line tester data containing only crosses laid out in Alpha lattice design.
# Load the package
library(gpbStat)

# Loading dataset
data("alphaltc")

# Viewing the Structure of dataset
str(alphaltc)
# There are five columns replication, block, line, tester and yield.


## Now by using function ltc we analyze the data.
## The first parameter of `ltc`  function is "data" followed by replication, line, tester, dependent variable(yield) and block.
## Note: The "block" parameter comes at the end.
results2 = ltc(alphaltc, replication, line, tester, yield, block)

## Viewing the results
results2

# Line x Tester analysis for multiple traits laid in Alpha lattice design.  
# Load the package
library(gpbStat)

#Load the dataset
data("alphaltcmt")

# View the structure of dataframe. 
str(alphaltcmt)

# Conduct Line x Tester analysis
result3 = ltcmt(alphaltcmt, replication, line, tester, alphaltcmt[,5:7], block)

# View the output
result3

nandp1/gpbStat documentation built on Nov. 15, 2024, 8:14 p.m.