agricolaeplotr0.5.0 package

Visualization of Design of Experiments from the 'agricolae' Package

citations

Citation

DOE_obj

Measures of a Field Design

full_control_positions

full_control_positions

make_polygons

make_polygons

plot_alpha

Plot Alpha design Experiments

plot_bib

Plot Randomized Balanced Incomplete Block Designs

plot_cyclic

Plot Cyclic Design

plot_dau

Plot Design of Augmented Blocks (dau)

plot_design.factorial_crd

Plot Factorial Complete Randomized Designs (crd)

plot_design.factorial_lsd

Plot Factorial Latin Square Designs (lsd)

plot_design.factorial_rcbd

Plot Factorial Designs with rcbd Design

plot_design_crd

Plot Complete Randomized Design

plot_fieldhub

Plot FielDHub Design

plot_graeco

Plot Graeco Latin Square Design

plot_latin_square

Plot Latin Square Design

plot_lattice_simple

Plot Simple Lattice Design

plot_lattice_triple

Plot Triple Lattice Design

plot_longest_diagonal

Plot the longest diagonal of a field

plot_rcdb

Plot randomized complete block designs

plot_split_crd

Plot Split Plot Designs (crd)

plot_split_lsd

Plot Split Plot Design lsd

plot_split_rcbd

Plot Split Plot Designs with rcbd

plot_strip

Plot Strip Design

plot_youden

Plot Youden Design

protective_layers

Create Protective Layers for Design of Experiments (DOEs)

sample_locations

Sample Locations

serpentine

Serpentine

summary

summary of a field Layout

test_input_extend

Test if input for width and height is numeric

test_input_ncols

checks matrix column input

test_input_nrows

checks matrix rows input

test_input_reverse

Test if input is a logical

test_input_shift

Test if input for shift parameter is numeric

test_name_in_column

Test if input column names

test_names_design

Test of experimental design

test_string

Test if input is a string

theme_gi

theme_gi

theme_poster

ggplot2 theme for poster presentation

theme_pres

ggplot2 theme for outdoor presentation

to_table

to_table

Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type. The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.

  • Maintainer: Jens Harbers
  • License: GPL (>= 3)
  • Last published: 2024-01-17