View source: R/Plotting_Shared.R
| Factor_Cor_Plot | R Documentation |
Plot positive correlations between gene loadings across W factor matrix in LIGER or
feature loadings in reduction slot of Seurat object.
Factor_Cor_Plot(
object,
reduction = NULL,
colors_use = NULL,
label = FALSE,
label_threshold = 0.5,
label_size = 5,
plot_title = NULL,
plot_type = "full",
positive_only = FALSE,
x_lab_rotate = TRUE,
cluster = TRUE,
cluster_rect = FALSE,
cluster_rect_num = NULL,
cluster_rect_col = NULL
)
object |
LIGER or Seurat object. |
reduction |
Seurat ONLY; name of dimensionality reduction containing NMF loadings. |
colors_use |
Color palette to use for correlation values.
Default is |
label |
logical, whether to add correlation values to plot result. |
label_threshold |
threshold for adding correlation values if |
label_size |
size of correlation labels |
plot_title |
Plot title. |
plot_type |
Controls plotting full matrix, or just the upper or lower triangles. Accepted values are: "full" (default), "upper", or "lower". |
positive_only |
logical, whether to limit the plotted values to only positive correlations (negative values set to 0); default is FALSE. |
x_lab_rotate |
logical, whether to rotate the axes labels on the x-axis. Default is TRUE. |
cluster |
logical, whether to cluster the plot using |
cluster_rect |
logical, whether to add rectangles around the clustered areas on plot,
default is FALSE. Uses |
cluster_rect_num |
number of rectangles to add to the plot, default NULL.
Value is provided to |
cluster_rect_col |
color to use for rectangles, default MULL (will set color automatically). |
A ggplot object
## Not run:
Factor_Cor_Plot(object = obj)
## End(Not run)
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