Plot.Rd
Create a phenotyping trial Plot containing all of the provided properties. Plot Name, Accession Name, Plot Number and Block Number are required. All optional properties can be added as a named value in the properties list.
Plot(
plot_name = NULL,
accession_name = NULL,
plot_number = NULL,
block_number = NULL,
properties = list()
)
The unique name for the plot (must be unique across entire database. this is often a concatenation of the trial name, the accession name, and the plot number.)
The name of the accession being tested in the plot (must exist in the database)
The sequential number for the plot in the field (e.g. 1001, 1002, 2001, 2002). these numbers should be unique for the trial.
A design parameter indicating which block the plot is in
(optional) Additional plot properties (as a named list)
Plot
See Class Plot for all optional plot properties
Other Trial:
Plot-class
,
PlotData-class
,
PlotData
,
Trial-class
,
Trial
,
buildPlotDataTemplate()
,
buildPlotTemplate()
,
buildTrialTemplate()
,
createPlots()
,
getTrialDesignTypes()
,
getTrialTypes()
,
printPlots()
,
setTrialPlots()
,
writePlotDataTemplate()
,
writePlotTemplate()
,
writeTrialTemplate()
# Create plots with just the required parameters
plot1 <- Plot("FARM-2019-UNH_PLOT1", "SL18-UCONN-S131", 1, 1)
plot2 <- Plot("FARM-2019-UNH_PLOT2", "SL18-UCONN-S31", 2, 1)
# Create plots with optional parameters
plot3 <- Plot("FARM-2019-UNH_PLOT3", "SL18-UCONN-S105", 3, 1, list(row_number = 1, col_number = 3))
plot4 <- Plot("FARM-2019-UNH_PLOT4", "SL18-UCONN-S146", 4, 1, list(row_number = 1, col_number = 4))
# Create a plot with an applied treatment
plot5 <- Plot(
"FARM-2019-UNH_PLOT5",
"SL18-UCONN-S110",
5,
1,
list(
row_number = 1,
col_number = 5,
treatments = list(
inoculated = TRUE
)
)
)