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doebioresearch (version 0.1.0)

Analysis of Design of Experiments for Biological Research

Description

Performs analysis of popular experimental designs used in the field of biological research. The designs covered are completely randomized design, randomized complete block design, factorial completely randomized design, factorial randomized complete block design, split plot design, strip plot design and latin square design. The analysis include analysis of variance, coefficient of determination, normality test of residuals, standard error of mean, standard error of difference and multiple comparison test of means. The package has functions for transformation of data and yield data conversion. Some datasets are also added in order to facilitate examples.

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Version

Install

install.packages('doebioresearch')

Monthly Downloads

1,033

Version

0.1.0

License

GPL-3

Maintainer

Raj Popat

Last Published

July 8th, 2020

Functions in doebioresearch (0.1.0)

logretransform

Re-transform the log transformed data
splitdata

Data for Split plot Design
splitplot

Analysis of Split plot design
lsd

Analysis of Latin Square Design
logtransform

Log transformation of the numeric vector
sqrttransform

Square root transformation of the numeric vector
sqrtretransform

Re-transform the square root transformed data
stripplot

Analysis of Strip plot design
yieldconvert

Convert the yield data of plot into different units
rcbd

Analysis of Randomized Complete Block Design
lsddata

Data for Latin Square Design
frbd2fact

Analysis of Factorial Randomized Block Design for 2 factors
factorialdata

Data of Factorial Experiment
convert

Convert the data frame into list of numeric nature
arcsinetransform

Arc sine transformation of the numeric vector
fcrd2fact

Analysis of Factorial Completely Randomized Design for 2 factors
fcrd3fact

Analysis of Factorial Completely Randomized Design for 3 factors
frbd3fact

Analysis of Factorial Randomized Block Design for 3 factors
crd

Analysis of Completely Randomized Design
arcsineretransform

Re-transform the Arc sine transformed data