| Ternary_Plot | R Documentation |
Visualizes Conservativeness Index (CI) predictions using ternary diagrams. Incorporates advanced hierarchical clustering to automatically group and color-code structurally similar apportionment solutions.
Ternary_Plot(
data,
tracers = 1:4,
n_row = 1,
n_col = 2,
Means = FALSE,
cluster = FALSE,
dendro_lvls = 5,
vrtl_sol = FALSE,
vrtl = c(0.05, 0.9, 0.05),
seed = NULL
)
Ternary_diagram(
data,
tracers = 1:4,
n_row = 1,
n_col = 2,
Means = FALSE,
cluster = FALSE,
dendro_lvls = 5,
vrtl_sol = FALSE,
vrtl = c(0.05, 0.9, 0.05),
seed = NULL
)
ternary_diagram(
data,
tracers = 1:4,
n_row = 1,
n_col = 2,
Means = FALSE,
cluster = FALSE,
dendro_lvls = 5,
vrtl_sol = FALSE,
vrtl = c(0.05, 0.9, 0.05),
seed = NULL
)
data |
List. The output generated by the CI_Method function. |
tracers |
Numeric vector. Indices of the tracers to display. Default 1:4. |
n_row |
Integer. Number of rows in the output grid layout. Default 1. |
n_col |
Integer. Number of columns in the output grid layout. Default 2. |
Means |
Logical. If TRUE, indicates the input utilizes mean and SD formats rather than raw observations. Default FALSE. |
cluster |
Logical. If TRUE, applies hierarchical clustering to group structurally similar ternary solutions. Default FALSE. |
dendro_lvls |
Integer. Number of branch levels to cut the clustering dendrogram. Default 5. |
vrtl_sol |
Logical. If TRUE, overlays a theoretical or target virtual solution on the plot. Default FALSE. |
vrtl |
Numeric vector. Apportionment values for the theoretical solution. Default c(0.05, 0.9, 0.05). |
seed |
Integer. Random seed for reproducible cluster ordering when cluster = TRUE. Default NULL. |
Ternary diagrams from the individual tracer predictions.
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