plot_iota2_alluvial {iotarelr}

Plot of the Coding Stream

Description

Function for creating an alluvial plot that can be plotted via ggplot2.

Usage

plot_iota2_alluvial(
  object,
  label_titel = "Coding Stream from True to Assigned Categories",
  label_prefix_true = "true",
  label_prefix_assigned = "labeled as",
  label_legend_title = "True Categories",
  label_true_category = "True Category",
  label_assigned_category = "Assigned Category",
  label_y_axis = "Relative Frequencies",
  label_categories_size = 3,
  key_size = 0.5,
  text_size = 10,
  legend_position = "right",
  legend_direction = "vertical"
)

Arguments

object

Estimates of Iota 2 created with compute_iota2(), check_new_rater() or with check_dgf(). Please note that the object created by check_dgf() cannot be passed directly. Only the elements of the corresponding list are compatible.

label_titel

Character containing the title of the plot.

label_prefix_true

Character representing the prefix for tagging the true categories. Character is applied to every category.

label_prefix_assigned

Character representing the prefix for tagging the assigned categories. Character is applied to every category.

label_legend_title

Character containing the title of the legend.

label_true_category

Character describing the stratum of true categories.

label_assigned_category

Character describing the stratum of assigned categories.

label_y_axis

Character. Label of the y-axis.

label_categories_size

double determining the size of the label for each true and assigned category within the plot.

key_size

double determining the size of the legend.

text_size

double determining the size of the text within the legend.

legend_position

string Position of the legend. Possible values are "bottom","right","left", "top" and "none".

legend_direction

string Layout of the items in the legend. Possible values are "horizontal" and "vertical".

Value

Returns an object of class gg and ggplot which can be shown with plot().

Note

An example for interpreting the plot can be found in the vignette Get started or via vignette("iotarelr", package = "iotarelr").