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doebioresearch  

Analysis of Design of Experiments for Biological Research
View on CRAN: Click here


Download and install doebioresearch package within the R console
Install from CRAN:
install.packages("doebioresearch")

Install from Github:
library("remotes")
install_github("cran/doebioresearch")

Install by package version:
library("remotes")
install_version("doebioresearch", "0.1.0")



Attach the package and use:
library("doebioresearch")
Maintained by
Raj Popat
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-08
Latest Update: 2020-07-08
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.
How to cite:
Raj Popat (2020). doebioresearch: Analysis of Design of Experiments for Biological Research. R package version 0.1.0, https://cran.r-project.org/web/packages/doebioresearch
Previous versions and publish date:
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