| Type: | Package |
| Title: | Visualization of Design of Experiments from the 'agricolae' Package |
| Version: | 0.6.1 |
| Maintainer: | Jens Harbers <jensharbers@gmail.com> |
| Description: | 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. |
| License: | GPL (≥ 3) |
| Encoding: | UTF-8 |
| Imports: | ggplot2, agricolae, raster, sp (≥ 2.0.0), methods, FielDHub, utils, tibble, sf, dplyr, tidyr, stringr, stplanr, ggspatial |
| RoxygenNote: | 7.2.3 |
| Language: | en-US |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, leaflet |
| Config/testthat/edition: | 3 |
| BugReports: | https://github.com/jensharbers/agricolaeplotr/issues |
| URL: | https://github.com/jensharbers/agricolaeplotr |
| Depends: | R (≥ 4.0) |
| VignetteBuilder: | knitr |
| Note: | 'None' |
| NeedsCompilation: | no |
| Packaged: | 2025-01-30 16:18:08 UTC; Jens Harbers |
| Author: | Jens Harbers 
[aut, cre] |
| Repository: | CRAN |
| Date/Publication: | 2025-01-30 16:50:02 UTC |
Measures of a Field Design
Description
Returns a list with several useful information about the experiment
Usage
DOE_obj(p)
Arguments
p |
|
Value
a list with several useful information about the experiment and the field
Examples
library(agricolae)
library(agricolaeplotr)
trt = c(2,3,4,5,6)
outdesign1 <-design.crd(trt,r=5,serie=2,2543,'Mersenne-Twister')
p <- plot_design_crd(outdesign1,
ncols = 7,
nrows = 4,
width = 10,
height = 10,
reverse_y = TRUE)
stats <- DOE_obj(p)
stats
Citation
Description
Generates citations of all loaded packages
Usage
citations(includeURL = TRUE, bibtex = TRUE)
Arguments
includeURL |
boolean, Should the URL be returned? |
bibtex |
boolean, Should the citations be returned as bibtex? |
Value
printed output to console
Examples
library(ggplot2)
library(agricolaeplotr)
library(agricolae)
library(raster)
citations()
full_control_positions
Description
This function provides full control about the plotting. The user also may shift the coordinates as liked.
Usage
full_control_positions(
design,
x = "col",
y = "row",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE,
way_x = 0,
way_y = 0,
shift_columns = 0,
shift_rows = 0,
shift_x = 0,
shift_y = 0,
dist_x = 1,
dist_y = 1,
n_shift_columns = 0,
n_shift_rows = 0,
start_origin = FALSE
)
Arguments
design |
data.frame containing the row and columns of an experiment |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
string Describes the column from that the plots are taken to display them |
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 |
way_x |
numeric vector indicates the shift of the nth-plot in x-axis. |
way_y |
numeric vector indicates the shift of the nth-plot in y-axis. |
shift_columns |
numeric indicates the shift of the given plots of a specific row by n units in x-axis. |
shift_rows |
numeric indicates the shift of the given plots of a specific column by n units in y-axis. |
shift_x |
numeric indicates the shift in units in x-axis. |
shift_y |
numeric indicates the shift in units for the y-axis. |
dist_x |
numeric indicates the shift in plots in x-axis. |
dist_y |
numeric indicates the shift in plots for the y-axis. |
n_shift_columns |
numeric vector indicating the number of plots of shift_columns. negative number indicate shift to left, otherwise right |
n_shift_rows |
numeric vector indicating the number of plots of shift_rows. negative number indicate shift to left, otherwise right |
start_origin |
boolean. Should the design start at the origin (0|0)? |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
library(ggplot2)
varieties<-c('perricholi','yungay','maria bonita','tomasa')
outdesign <-design.youden(varieties,r=2,serie=2,seed=23)
design <- outdesign$book
design
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,
space_width=0.5,space_height=0.5,
shift_x=(-0.5*3) + (-0.5*3*0.5),shift_y=-0.5*4.5 + (-0.5*4.5*0.5))
p
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,
space_width=0.13,space_height=0.445,
shift_x=(-0.5*3) + (-0.5*3*(1-0.13)),shift_y=-0.5*4.5 + (-0.5*4.5*(1-0.445)))
p
varieties<-LETTERS[1:12]
outdesign <-design.youden(varieties,r=12,serie=2,seed=23)
design <- outdesign$book
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,
space_width=1,space_height=1,
shift_x=-0.5*3,shift_y=-0.5*4.5)
p
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,
space_width=0.93,space_height=0.945,
start_origin = TRUE)
p
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,
space_width=0.93,space_height=0.945,way_x = c(2,6,8,10,12),way_y=c(3,8),dist_x=2,dist_y=4,
start_origin = TRUE, reverse_y = FALSE, reverse_x = FALSE);p
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,
space_width=0.93,space_height=0.945,
way_x = c(2,4,6,8,10,12),way_y=c(3,8),
start_origin = FALSE, reverse_y = FALSE,
reverse_x = FALSE);p
p <- full_control_positions(design,"col","row","varieties","plots",
width=3,height=4.5,shift_columns=c(4,8),
shift_rows=c(3,5,9),
n_shift_columns=c(1,5),
n_shift_rows=c(1,-2,6),
space_width=0.93,space_height=0.945,
way_x = c(2,4,6,8,10,12),way_y=c(3,8),
start_origin = TRUE, reverse_y = FALSE,
reverse_x = FALSE);p
make_polygons
Description
This function coerces all rectangles from a 'ggplot' object to 'SpatialPolygonDataFrame'.
Usage
make_polygons(
ggplot_object,
north = 3454206.89,
east = 5939183.21,
projection_input = "+init=epsg:31467",
projection_output = "+init=epsg:4326"
)
Arguments
ggplot_object |
saved ggplot object, containing the coordinates of the rectangles of a 'ggplot' object of the first two layers |
north |
float added to the rows to have a northing ordinate |
east |
float added to the rows to have a easting ordinate |
projection_input |
string defines in which EPSG projection the ggplot object should be converted to a raster object? a projection with a metric unit is highly recommended |
projection_output |
string defines in which EPSG projection the SpatialPolygonDataFrame should be exported. |
Value
a SpatialPolygonDataFrame object
Examples
library(agricolaeplotr)
library(agricolae)
trt = c(2,3,4)
outdesign1 <-design.crd(trt,r=5,serie=2,2543,'Mersenne-Twister')
plt <- plot_design_crd(outdesign1,ncols = 13,nrows = 3)
spat_df <- make_polygons(plt)
spat_df
Plot Alpha design Experiments
Description
Plot a design of an experiment with an alpha design from agricolae design.alpha
Usage
plot_alpha(
design,
x = "cols",
y = "block",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-1:30
t <- length(trt)
# size block k
k<-3
# Blocks s
s<-t/k
# replications r
r <- 2
outdesign<- design.alpha(trt,k,r,serie=2)
plot_alpha(outdesign)
Plot Randomized Balanced Incomplete Block Designs
Description
Plot a design of an experiment with an Randomized Balanced Incomplete Block Designs (BIB) from design.bib
Usage
plot_bib(
design,
y = "block",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
width |
numeric value, describes the width of a plot in an experiment |
height |
numeric value, describes the height of a plot in an experiment |
space_width |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width |
space_height |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height |
reverse_y |
boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE |
reverse_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-c('A','B','C','D')
k<-3
outdesign<-design.bib(trt,k,serie=2,seed =41,kinds ='Super-Duper') # seed = 41
plot_bib(outdesign)
#now let us change position of the columns
plot_bib(outdesign,reverse_x = TRUE)
Plot Cyclic Design
Description
Plot a design of an experiment with an cyclic design from agricolae design.cyclic
Usage
plot_cyclic(
design,
y = "block",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
k <- 2
r <- 6
trt <-c('CIP-101','CIP-201','CIP-301','CIP-401','CIP-501',LETTERS[1:2])
outdesign<- design.cyclic(trt,k=k, r=r, serie=3, rowcol=TRUE)
plot_cyclic(outdesign, factor_name = 'trt')
Plot Design of Augmented Blocks (dau)
Description
Plot a design of an experiment with an augmented block design from agricolae design.dau
Usage
plot_dau(
design,
y = "block",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
width |
numeric value, describes the width of a plot in an experiment |
height |
numeric value, describes the height of a plot in an experiment |
space_width |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width |
space_height |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height |
reverse_y |
boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE |
reverse_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('A','B','C','D','E','F')
T2<-letters[19:26]
outdesign <-design.dau(T1,T2, r=5,serie=2)
plot_dau(outdesign)
plot_dau(outdesign,reverse_y = TRUE)
Plot Factorial Complete Randomized Designs (crd)
Description
Plot a design of a factorial experiment with completely randomized design (crd) from design.ab
Usage
plot_design.factorial_crd(
design,
ncols,
nrows,
y = "row",
factor_name = "A",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
ncols |
integer value, choose the number of columns to which the experiment should be plotted |
nrows |
integer value, choose the number of rows to which the experiment should be plotted |
y |
Describes the y coordinates of a experiment design, default is row |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$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 |
Value
ggplot graphic that can be modified, if wished
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)
Plot Factorial Latin Square Designs (lsd)
Description
Plot a design of a factorial experiment with latin square design (lsd) design from agricolae design.ab
Usage
plot_design.factorial_lsd(
design,
x = "col",
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
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
width |
numeric value, describes the width of a plot in an experiment |
height |
numeric value, describes the height of a plot in an experiment |
space_width |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width |
space_height |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height |
reverse_y |
boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE |
reverse_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-c(3,2) # factorial 3x2
outdesign <-design.ab(trt, r=3, serie=2,design = 'lsd')
plot_design.factorial_lsd(outdesign,factor_name = 'B',reverse_x = TRUE)
Plot Factorial Designs with rcbd Design
Description
Plot a design of a factorial experiment with randomized complete block design (rcbd) from design.ab
Usage
plot_design.factorial_rcbd(
design,
y = "row",
factor_name = "A",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_x = FALSE,
reverse_y = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
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_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-c(2,4)
k=6
outdesign<-design.ab(trt, r=k, serie=3,design='rcbd')
plot_design.factorial_rcbd(design=outdesign,factor_name = 'B')
plot_design.factorial_rcbd(outdesign,reverse_y = TRUE,reverse_x = TRUE)
Plot Complete Randomized Design
Description
Plot a design of a factorial experiment with randomized complete block design from agricolae design.ab
Usage
plot_design_crd(
design,
ncols,
nrows,
y = "row",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
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$book |
labels |
Describes the column from that the plots are taken to display them |
width |
numeric value, describes the width of a plot in an experiment |
height |
numeric value, describes the height of a plot in an experiment |
space_width |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width |
space_height |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height |
reverse_y |
boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE |
reverse_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt = c(2,3,4,5,6)
outdesign1 <-design.crd(trt,r=5,serie=2,2543,'Mersenne-Twister')
plot_design_crd(outdesign1,ncols = 13,nrows = 3)
Plot FielDHub Design
Description
Plots designs from FielDHub package
Usage
plot_fieldhub(
design,
x = "COLUMN",
y = "ROW",
labels = "PLOT",
factor_name = "TREATMENT",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE,
shift_x = 0,
shift_y = 0
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
labels |
string Describes the column from that the plots are taken to display them |
factor_name |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
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 |
shift_x |
numeric indicates the shift in units in x-axis. |
shift_y |
numeric indicates the shift in units for the y-axis. |
Value
ggplot graphic that can be modified, if wished
Examples
## Not run:
library(agricolaeplotr)
library(FielDHub)
H <- paste("H", 1:4, sep = "")
V <- paste("V", 1:5, sep = "")
strip1 <- FielDHub::strip_plot(Hplots = H,
Vplots = V,
b = 1,
l = 1,
plotNumber = 101,
planter = "serpentine",
locationNames = "A",
seed = 333)
strip1$fieldBook$ROW <- as.numeric(ordered(strip1$fieldBook$VSTRIP,
levels = unique(strip1$fieldBook$VSTRIP)))
strip1$fieldBook$COLUMN <- as.numeric(ordered(strip1$fieldBook$HSTRIP,
levels = unique(strip1$fieldBook$HSTRIP)))
plot_fieldhub(strip1,
x = "ROW",
y = "COLUMN",
labels = "HSTRIP",
factor_name = "HSTRIP",
width = 12,
height = 10,
reverse_y = FALSE,
reverse_x = FALSE)
## End(Not run)
Plot Graeco Latin Square Design
Description
Plot a design of an experiment with an Graeco - latin square design from agricolae design.graeco
Usage
plot_graeco(
design,
x = "col",
y = "row",
factor_name = "T1",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
width |
numeric value, describes the width of a plot in an experiment |
height |
numeric value, describes the height of a plot in an experiment |
space_width |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width |
space_height |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height |
reverse_y |
boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE |
reverse_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d')
T2<-c('v','w','x','y','z','zz')
outdesign <- design.graeco(trt1=T1, trt2=T2, serie = 2,
seed = 0, kinds = 'Super-Duper',randomization=TRUE)
plot_graeco(outdesign, factor_name = 'T2',reverse_y = TRUE)
plot_graeco(outdesign, factor_name = 'T2',reverse_x = TRUE)
Plot Latin Square Design
Description
Plot a design of a factorial experiment with a latin square design from agricolae design.lsd
Usage
plot_latin_square(
design,
x = "col",
y = "row",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-LETTERS[1:9]
outdesign<- design.lsd(trt,serie=2)
plot_latin_square(outdesign, reverse_y = TRUE)
Plot Simple Lattice Design
Description
Plot a design of a factorial experiment with a lattice design from agricolae design.lattice with r=2
Usage
plot_lattice_simple(
design,
y = "block",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
width |
numeric value, describes the width of a plot in an experiment |
height |
numeric value, describes the height of a plot in an experiment |
space_width |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of width |
space_height |
numeric value, describes the share of the space of the plots. 0=only space, 1=no space between plots in term of height |
reverse_y |
boolean, should the plots of the experiment be changed in reverse order in Row direction? use reverse_y=TRUE to have same sketch as in agricolae. default:reverse_y=FALSE |
reverse_x |
boolean, should the plots of the experiment be changed in reverse order in column direction? default:reverse_x=FALSE |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-1:100
outdesign<-design.lattice(trt,r=2,serie=3) # simple lattice design, 10x10
plot_lattice_simple(outdesign,width = 2, height = 1)
Plot Triple Lattice Design
Description
Plot a design of a factorial experiment with a latin square design from agricolae design.lattice with r=3
Usage
plot_lattice_triple(
design,
y = "block",
factor_name = "trt",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
trt<-LETTERS[1:9]
outdesign<-design.lattice(trt,r=3,serie=2)
plot_lattice_triple(design=outdesign,reverse_x=TRUE)
Plot the longest diagonal of a field
Description
This function takes a field and plots the longest diagonal of the field. The field is divided into segments and points are sampled from these segments.
Usage
plot_longest_diagonal(
field,
n = 8,
type = "random",
n_segments = 2,
distance_field_boundary = 3,
width_diagonal_path = 2
)
Arguments
field |
An object of class sf representing the field. |
n |
Integer, the number of sample points along the longest diagonal. |
type |
Type of sampling. Default is "random". |
n_segments |
Numeric, the number of segments to divide the longest diagonal (default is 2). |
distance_field_boundary |
Numeric, the distance to buffer the field for creating the boundary (default is 3.0). |
width_diagonal_path |
Numeric, the width to buffer the diagonal path (default is 2.0). |
Value
p: A ggplot object showing the field, the buffered field, the buffered line, and the sample points.
buffered_line: A sf object representing the buffered line.
my_line: A sf object representing the longest diagonal of the field.
sample_points: A sf object representing the sampled points.
length: A numeric value, representing the length of the longest line.
Examples
library(sf)
my_sf <- st_read(system.file("shape/gfn_schlaege.shp", package="agricolaeplotr"))
st_crs(my_sf) <- 25832
field <- my_sf[my_sf$SCHLAG_NR == 170,]
plot_longest_diagonal(field)
Plot randomized complete block designs
Description
Plot a design of an experiment with randomized complete block design (rcbd) design from agricolae design.rcbd
Usage
plot_rcbd(
design,
y = "block",
factor_name = "trt",
labels = "plots",
treatment_label = "trt",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
label_width = 10,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
Describes the y coordinates of a experiment design |
factor_name |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
treatment_label |
Describes the column(s) from the treatments the plots are taken to display them as a label text |
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 |
label_width |
numeric value, describes the maximum width of a label |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
# 5 treatments and 6 blocks
trt<-c('A','B','C','D','E')
outdesign <-design.rcbd(trt,6,serie=2,986,'Wichmann-Hill') # seed = 986
plot_rcbd(outdesign)
plot_rcbd(outdesign,reverse_y = TRUE,reverse_x = TRUE)
Plot Split Plot Designs (crd)
Description
Plot a design of a split plot experiment with a complete randomized design (crd) from design.split
Usage
plot_split_crd(
design,
nrows,
ncols,
factor_name_1 = "T1",
factor_name_2 = "T2",
labels = "plots",
subplots = TRUE,
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
nrows |
Number of rows for the design |
ncols |
Number of columns for the design |
factor_name_1 |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
factor_name_2 |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
string Describes the column from that the plots are taken to display them |
subplots |
should the plot function return the subplots (default) or main plots? |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d','e','f','g')
T2<-c('v','w','x','y','zzz')
r <- 4
outdesign2 <- design.split(trt1=T1, trt2=T2, r=r,
serie = 2, seed = 0, kinds = 'Super-Duper',
randomization=TRUE,first=TRUE,design = 'crd')
plot_split_crd(outdesign2,ncols = 6,nrows=5)
outdesign2 <- design.split(trt1=T1, trt2=T2, r=r,
serie = 2, seed = 0, kinds = 'Super-Duper',
randomization=FALSE,first=TRUE,design = 'crd')
plot_split_crd(outdesign2,ncols = 6,nrows=5)
Plot Split Plot Design lsd
Description
Plot a design of a split plot experiment with latin squared design (lsd) from design.split
Usage
plot_split_lsd(
design,
factor_name_1 = "T1",
factor_name_2 = "T2",
labels = "plots",
subplots = TRUE,
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
factor_name_1 |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
factor_name_2 |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
string Describes the column from that the plots are taken to display them |
subplots |
should the plot function return the subplots (default) or main plots? |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d','e')
T2<-c('v','w','x','y')
outdesign2 <- design.split(trt1=T1, trt2=T2, r=r,serie = 2,
seed = 0, kinds = 'Super-Duper',
randomization=TRUE,first=TRUE,design = 'lsd')
plot_split_lsd(outdesign2,width = 4,height = 4)
Plot Split Plot Designs with rcbd
Description
Plot a design of a split plot experiment with randomized complete blocks design (rcbd) from design.split
Usage
plot_split_rcbd(
design,
y = "block",
factor_name_1 = "T1",
factor_name_2 = "T2",
subplots = TRUE,
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
y |
string defines the block |
factor_name_1 |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
factor_name_2 |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
subplots |
should the plot function return the subplots (default) or main plots? |
labels |
string Describes the column from that the plots are taken to display them |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d','e')
T2<-c('v','w','x','y','z','zz')
r = 3
outdesign2 <- design.split(trt1=T1, trt2=T2, r=r,serie = 2,
seed = 0, kinds = 'Super-Duper',randomization=TRUE,
first=TRUE,design = 'rcbd')
plot_split_rcbd(outdesign2,width = 1,height = 1)
plot_split_rcbd(outdesign2,width = 1,height = 1,reverse_y = TRUE)
plot_split_rcbd(outdesign2,width = 1,height = 1,reverse_x = TRUE,reverse_y = TRUE)
Plot Strip Design
Description
Plot a design of an experiment with an Strip Plot design from agricolae design.strip
Usage
plot_strip(
design,
x = "col",
y = "row",
factor_name_1 = "T1",
factor_name_2 = "T2",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name_1 |
Which factor should be used for plotting, needs to be a column in outdesign$book |
factor_name_2 |
Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
Describes the column from that the plots are taken to display them |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d')
T2<-c('v','w','x','y','z')
r = 3
outdesign <- design.strip(trt1=T1, trt2=T2, r=r,serie = 2,
seed = 0, kinds = 'Super-Duper',randomization=TRUE)
plot_strip(outdesign,factor_name_1 = "T1",factor_name_2="T2")
plot_strip(outdesign,factor_name_1 = "T1",factor_name_2="T2",reverse_x = TRUE)
Plot Youden Design
Description
Plot a Youden experiment design from agricolae design.youden
Usage
plot_youden(
design,
x = "col",
y = "row",
factor_name = "varieties",
labels = "plots",
width = 1,
height = 1,
space_width = 0.95,
space_height = 0.85,
reverse_y = FALSE,
reverse_x = FALSE
)
Arguments
design |
outdesign from |
x |
Describes the x coordinates of a experiment design |
y |
Describes the y coordinates of a experiment design |
factor_name |
string Which factor should be used for plotting, needs to be a column in outdesign$book |
labels |
string Describes the column from that the plots are taken to display them. |
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 |
Value
ggplot graphic that can be modified, if wished
Examples
library(agricolaeplotr)
library(agricolae)
varieties<-c('perricholi','yungay','maria bonita','tomasa')
outdesign <-design.youden(varieties,r=2,serie=2,seed=23)
plot_youden(outdesign, labels = 'varieties')
Create Protective Layers for Design of Experiments (DOEs)
Description
This function generates protective layers around the polygons of an experiment. These layers can be used to plot boundaries, for example, to protect agricultural on-farm experiments from accidental harvesting.
Usage
protective_layers(design, borders = c(0, 3, 5, 10))
Arguments
design |
An |
borders |
A numeric vector specifying the distances (in meters) for which protective layers should be created. The layers will be created with decreasing distances, starting from the largest. |
Value
An sf object representing the protective layers around the
experiment polygons.
Examples
library(agricolaeplotr)
library(sf)
library(ggplot2)
example("make_polygons")
polygo <- make_polygons(plt, north = 13454206.89, east = 7939183.21)
polygo <- st_transform(polygo, 25832)
pl <- protective_layers(polygo)
# plot experiment shape
ggplot(pl) + geom_sf(fill=c("black","orange","blue","red"))+ theme_minimal()
# write them to kml for Google Maps
# st_write(pl, "boundaries2.kml", append = FALSE)
Sample Locations
Description
Returns locations to sample for each plot.
Usage
sample_locations(design, n, plot = TRUE, ...)
Arguments
design |
Your experiment design of plot layouts. |
n |
Number of samples per plot (integer). |
plot |
Logical, indicating whether to visualize the sample locations as a ggplot2-based map. |
... |
further options for 'st_sample' and 'make_polygons' |
Details
This function takes an experiment design (plot layout) and returns random sample locations within each plot. The function uses the 'sf' package to generate spatial polygons for the plots and then samples points within each polygon. Optionally, it can also display the sample locations as a ggplot2-based map.
Value
An 'sf' object containing the sample locations within each plot.
Examples
library(agricolaeplotr)
library(agricolae)
library(ggplot2)
trt <- c('A', 'B', 'C', 'D')
k <- 3
outdesign <- design.bib(trt, k, serie = 2, seed = 41, kinds = 'Super-Duper')
plot_bib(outdesign)
p <- plot_bib(outdesign)
sample_locations(p, 3, TRUE, projection_output = 25832)
Serpentine
Description
This function produces a serpentine array of integers beginning by one
Usage
serpentine(n, times, m = 1)
Arguments
n |
integer value indicating the upper cap of a numeric sequence |
times |
integer number of replications |
m |
integer value indicating the lower cap of a numeric sequence |
Value
vector containing the serpentine sequence
Examples
serpentine(n=20,times = 15)
serpentine(n=20,times = 15,m=4)
summary of a field Layout
Description
print a summary of a FieldLayout object
Usage
summary(object, unit = "m", part = "net_plot", ...)
Arguments
object |
an object, created by DOE_obj with a FieldLayout class |
unit |
a string that corresponds to measure unit (default is m) |
part |
which part of the summary are you interested? Choose one of the following: "net_plot","gross_plot","field","experiment","all" |
... |
further arguments passed to or from other methods |
Examples
library(agricolaeplotr)
library(agricolae)
varieties<-c('perricholi','yungay','maria bonita','tomasa')
outdesign <-design.youden(varieties,r=2,serie=2,seed=23)
p <- plot_youden(outdesign, labels = 'varieties')
stats <- DOE_obj(p)
# print plot summary for net plot (plots without space)
summary(stats, part = "net_plot")
# print plot summary for gross plot (plots with space)
summary(stats, part = "gross_plot")
# print plot summary for entire field
summary(stats, part = "field")
# print plot summary for design summary
summary(stats, part = "experiment")
# print plot summary for all information shown above in one output
summary(stats, part = "all")
Test if input for width and height is numeric
Description
Test if input is numeric for field width and height
Usage
test_input_extend(x)
Arguments
x |
input to be tested |
Value
error
Examples
library(agricolaeplotr)
test_input_extend(3)
checks matrix column input
Description
checks if input is suitable for matrix column indication
Usage
test_input_ncols(x)
Arguments
x |
input to be tested |
Value
error
Examples
library(agricolaeplotr)
test_input_ncols(9)
checks matrix rows input
Description
checks if input is suitable for matrix row indication
Usage
test_input_nrows(x)
Arguments
x |
input to be tested |
Value
error
Examples
library(agricolaeplotr)
test_input_nrows(10)
Test if input is a logical
Description
Test if input is a logical
Usage
test_input_reverse(x)
Arguments
x |
input to be tested |
Value
error
Examples
library(agricolaeplotr)
test_input_reverse(TRUE)
Test if input for shift parameter is numeric
Description
Test if input is numeric for shift parameter
Usage
test_input_shift(x)
Arguments
x |
input to be tested |
Value
error
Examples
library(agricolaeplotr)
test_input_shift(0.5)
Test if input column names
Description
Test if input is in column names of a table
Usage
test_name_in_column(x, design)
Arguments
x |
string input |
design |
design from |
Value
error
Examples
library(agricolaeplotr)
library(agricolae)
trt<-c(2,4)
k=6
outdesign<-design.ab(trt, r=k, serie=3,design='rcbd')
test_name_in_column('B',outdesign)
Test of experimental design
Description
Test if the outdesign file contains book and parameter list
Usage
test_names_design(design)
Arguments
design |
design from |
Value
error
Examples
library(agricolaeplotr)
library(agricolae)
trt<-c(2,4)
k=6
outdesign<-design.ab(trt, r=k, serie=3,design='rcbd')
test_names_design(outdesign)
Test if input is a string
Description
Test if input is a string
Usage
test_string(x)
Arguments
x |
input to be tested |
Value
error
Examples
library(agricolaeplotr)
test_string('smallstring')
theme_gi
Description
Creates a theme for 'ggplot' based graphics to ensure to meet formal requirements for conferences of the Gesellschaft fuer Informatik
Usage
theme_gi()
Value
a 'ggplot' graph with a modified theme
Examples
# example borrowed from ggplot2
library(ggplot2)
df <- data.frame(
gp = factor(rep(letters[1:3], each = 10)),
y = rnorm(30))
p <- ggplot() +
geom_point(data = df, aes(gp, y))
p <- p + theme_gi();p
ggplot2 theme for poster presentation
Description
This theme is designed to increase font size to ensure readability on poster presentations
Usage
theme_poster()
Value
ggplot2 theme
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d','e','f','g')
T2<-c('v','w','x','y','z')
r <- 4
outdesign2 <- design.split(trt1=T1, trt2=T2, r=r,
serie = 2, seed = 0, kinds = 'Super-Duper',
randomization=FALSE,first=TRUE,design = 'crd')
plot_split_crd(outdesign2,ncols = 6,nrows=5)+
theme_poster()
ggplot2 theme for outdoor presentation
Description
This theme is designed to increase font size to ensure readability on outdoor used devices
Usage
theme_pres()
Value
ggplot2 theme
Examples
library(agricolaeplotr)
library(agricolae)
T1<-c('a','b','c','d','e','f','g')
T2<-c('v','w','x','y','z')
r <- 4
outdesign2 <- design.split(trt1=T1, trt2=T2, r=r,
serie = 2, seed = 0, kinds = 'Super-Duper',
randomization=FALSE,first=TRUE,design = 'crd')
plot_split_crd(outdesign2,ncols = 6,nrows=5)+
theme_pres()
to_table
Description
Write field experiment information to a dataframe.
Usage
to_table(object, part = "net_plot", unit = "m", digits = 3, ...)
Arguments
object |
an object, created by DOE_obj with a FieldLayout class |
part |
which part of the summary are you interested? Choose one of the following: "net_plot","gross_plot","field","experiment" |
unit |
a string that corresponds to measure unit (default is m) |
digits |
integer indicating the number of decimal places (round) or significant digits (signif) to be used. Negative values are allowed |
... |
further arguments passed to or from other methods |
Value
dataframe with corresponding information about the experiment
Examples
library(agricolaeplotr)
library(agricolae)
varieties<-c('perricholi','yungay','maria bonita','tomasa')
outdesign <-design.youden(varieties,r=2,serie=2,seed=23)
p <- plot_youden(outdesign, labels = 'varieties', width=4, height=3)
stats <- DOE_obj(p)
r <- to_table(stats,part = "net_plot", digits = 2)
r
r <- to_table(stats,part = "gross_plot", digits = 2)
r
r <- to_table(stats,part = "field", digits = 2)
r
r <- to_table(stats,part = "experiment", digits = 2)
r
r <- to_table(stats,part = "all", digits = 2)
r