Analysis of Design of Experiments for Biological Research
Convert the yield data of plot into different units
Analysis of Randomized Complete Block Design
Analysis of Split plot design
Re-transform the square root transformed data
Square root transformation of the numeric vector
Analysis of Strip plot design
Re-transform the Arc sine transformed data
Arc sine transformation of the numeric vector
Convert the data frame into list of numeric nature
Analysis of Completely Randomized Design
Analysis of Factorial Completely Randomized Design for 2 factors
Analysis of Factorial Completely Randomized Design for 3 factors
Analysis of Factorial Randomized Block Design for 2 factors
Analysis of Factorial Randomized Block Design for 3 factors
Re-transform the log transformed data
Log transformation of the numeric vector
Analysis of Latin Square Design
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.