pca_scores_plot | R Documentation |
Plots a 2d scatter plot of the selected components
pca_scores_plot(
xcol = "PC1",
ycol = "PC2",
points_to_label = "none",
factor_name,
ellipse = "all",
ellipse_type = "norm",
ellipse_confidence = 0.95,
label_filter = character(0),
label_factor = "rownames",
label_size = 3.88,
components = NULL,
...
)
xcol |
(numeric, integer, character) The column name, or index, of data to plot on the x-axis. The default is |
ycol |
(numeric, integer, character) The column name, or index, of data to plot on the y-axis. The default is |
points_to_label |
(character) Points to label. Allowed values are limited to the following:
The default is |
factor_name |
(character) The name of a sample-meta column to use. |
ellipse |
(character) Plot ellipses. Allowed values are limited to the following:
The default is |
ellipse_type |
(character) Type of ellipse. Allowed values are limited to the following:
The default is |
ellipse_confidence |
(numeric) The confidence level for plotting ellipses. The default is |
label_filter |
(character) Labels are only plotted for the named groups. If zero-length then all groups are included. The default is |
label_factor |
(character) The column name of sample_meta to use for labelling samples on the plot. "rownames" will use the row names from sample_meta. The default is |
label_size |
(numeric) The text size of labels. Note this is not in Font Units. The default is |
components |
(numeric, integer, NULL) The principal components used to generate the plot. If provided this parameter overrides xcol and ycol params. The default is |
... |
Additional slots and values passed to |
A
pca_scores_plot
object. This object has no output
slots.
See chart_plot
in the struct
package to plot this chart object.
A pca_scores_plot
object inherits the following struct
classes:
[pca_scores_plot]
>> [scatter_chart]
>> [chart]
>> [struct_class]
M = pca_scores_plot(
components = NULL,
xcol = 1,
ycol = 2,
points_to_label = "none",
factor_name = "V1",
ellipse = "all",
label_filter = character(0),
label_factor = "rownames",
label_size = 3.88,
ellipse_type = "norm",
ellipse_confidence = 0.95)
D = iris_DatasetExperiment()
M = mean_centre() + PCA()
M = model_apply(M,D)
C = pca_scores_plot(factor_name = 'Species')
chart_plot(C,M[2])
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.