View source: R/LIGER_Plotting.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.
Any negative correlations are set to NA and NA values set to bottom color of color gradient.
Factor_Cor_Plot(
object,
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. |
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. |
cluster_rect_num |
number of rectangles to add to the plot, default NULL. |
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.