View source: R/ggstrat-plot_addons.R
layer_scores | R Documentation |
Add scores to a plot
layer_scores( object, mapping = NULL, which = "PC1", key = "param", value = "value", scores_geom = list(ggplot2::geom_path(), ggplot2::geom_point()), sequential_facets = TRUE ) plot_layer_scores( object, mapping, which = "PC1", key = "param", value = "value", ... )
object |
A nested_prcomp or similar object |
mapping |
A mapping created with aes |
which |
Which principal components to plot |
key |
The column name to use for the principal component names |
value |
The column name to use for the principal component score values |
scores_geom |
One or more geometries to which scores should be applied. |
sequential_facets |
TRUE will result in the panel containing the dendrogram added to the right of the plot. |
... |
Passed to layer_scores() |
A list()
that can be addeed to a ggplot2::ggplot()
library(ggplot2) library(dplyr, warn.conflicts = FALSE) alta_pca <- nested_data( alta_lake_geochem, qualifiers = c(age, depth, zone), key = param, value = value, trans = scale ) %>% nested_prcomp() ggplot() + layer_scores(alta_pca, aes(value, depth), which = "PC1") + scale_y_reverse() plot_layer_scores(alta_pca, aes(y = depth), which = c("PC1", "PC2")) + scale_y_reverse()
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