agricolaeplotr (version 0.6.1)

plot_design.factorial_crd: Plot Factorial Complete Randomized Designs (crd)

Description

Plot a design of a factorial experiment with completely randomized design (crd) from design.ab

Usage

plot_design.factorial_crd(
  design,
  ncols,
  nrows,
  y = "row",
  factor_name = "A",
  labels = "plots",
  width = 1,
  height = 1,
  space_width = 0.95,
  space_height = 0.85,
  reverse_y = FALSE,
  reverse_x = FALSE
)

Value

ggplot graphic that can be modified, if wished

Arguments

design

outdesign from agricolae package

ncols

integer value, choose the number of columns to which the experiment should be plotted

nrows

integer value, choose the number of rows to which the experiment should be plotted

y

Describes the y coordinates of a experiment design, default is row

factor_name

Which factor should be used for plotting, needs to be a column in outdesign$book

labels

string indicates the column of which the labels should be displayed

width

numeric value, describes the width of a plot in an experiment

height

numeric value, describes the height of a plot in an experiment

space_width

numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width

space_height

numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height

reverse_y

boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE

reverse_x

boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE

Examples

library(agricolaeplotr)
library(agricolae)
trt<-c(3,2) # factorial 3x2
outdesign <- design.ab(trt, r=3, serie=2,design = 'crd')
plot_design.factorial_crd(outdesign,ncols = 8,nrows = 6)
plot_design.factorial_crd(outdesign,reverse_y = TRUE,ncols = 8,nrows = 6)
plot_design.factorial_crd(outdesign,reverse_y = TRUE,reverse_x = TRUE,ncols = 8,nrows = 6)