plotSimResults: Plot Simulation Results

In ksauby/ACS: Adaptive Cluster Sampling

Plot Simulation Results

Description

Plot Simulation Results

Usage

plotSimResults(
  dataset,
  variable = NULL,
  x_variable = NULL,
  y_variable = NULL,
  grouping_variable,
  legend_name,
  xlab_name = NULL,
  ylab_name = NULL,
  SD = FALSE,
  facet,
  legendposition = "bottom",
  legendcolor = "black",
  x_angle = 360,
  xlength = 6,
  ylength = 4,
  roundn = 2,
  y_breaks = NULL
)

Arguments

dataset	Simulation data on sampling of the multiple patch realizations.
variable	The variable to be plotted. Default value is NULL.
x_variable	The variable to be plotted on the x-axis. Default value is NULL.
y_variable	The variable to be plotted to be plotted on the y-axis. Default value is NULL.
grouping_variable	The variable dividing the data into subgroups.
legend_name	The name given to the grouping_variable in the legend.
xlab_name	The x-axis name. Default value is NULL.
ylab_name	The y-axis name. Default value is NULL.
SD	Defaults to FALSE
facet	NEED DETAILS
legendposition	Defaults to "bottom."
legendcolor	Defaults to "black."
x_angle	Defaults to 360
xlength	Default value is 6.
ylength	Default value is 4.
roundn	Default value is 2.
y_breaks	Default to NULL.

Value

Plot of the true variable parameter values (x-axis) versus variable bias (y-axis). The plot is divided into three facets: Horvitz-Thompson estimators, SRSWOR estimators (excluding information from adaptively sampled plots), and SRSWOR estimators applied to the entire dataset (ignoring the sampling design). Error bars indicate the standard deviation.

ksauby/ACS documentation built on Aug. 18, 2022, 3:33 a.m.