R: A Shiny App for Design of Experiments in Life Sciences

# A Shiny App for Design of Experiments in Life Sciences

## Documentation for package ‘FielDHub’ version 1.5.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

alpha_lattice | Generates an Alpha Design
CRD | Generates a Completely Randomized Design (CRD)
diagonal_arrangement | Spatial Un-replicated Diagonal Arrangement Design
do_optim | Generate the sparse or p-rep allocation to multiple locations.
full_factorial | Generates a Full Factorial Design
incomplete_blocks | Generates a Resolvable Incomplete Block Design
latin_square | Generates a Latin Square Design
multi_location_prep | Optimized multi-location partially replicated design
optimized_arrangement | Generates an Spatial Un-replicated Optimized Arrangement Design
partially_replicated | Generates a Spatial Partially Replicated Arrangement Design
plot.FielDHub | Plot a 'FielDHub' object
print.FielDHub | Print a 'FielDHub' object
print.fieldLayout | Print a 'fieldLayout' plot object
print.summary.FielDHub | Print the summary of a 'FielDHub' object
RCBD | Generates a Randomized Complete Block Design (RCBD)
RCBD_augmented | Generates an Augmented Randomized Complete Block Design (ARCBD)
rectangular_lattice | Generates a Rectangular Lattice Design.
row_column | Generates a Resolvable Row-Column Design (RowColD)
run_app | Run the Shiny Application
sparse_allocation | Unreplicated designs using the sparse allocation approach
split_families | Split a population of genotypes randomly into several locations.
split_plot | Generates a Split Plot Design
split_split_plot | Generates a Split Split Plot Design
square_lattice | Generates a Square Lattice Design.
strip_plot | Strip Plot Design
summary.FielDHub | Summary a 'FielDHub' object
swap_pairs | Swap pairs in a matrix of integers