plotCluster {flowSpy} | R Documentation |
Visualization of cluster data of FSPY
plotCluster( object, item.use = c("PC_1", "PC_2"), color.by = "cluster", size.by = "cell.number.percent", order.by = NULL, size = 1, alpha = 1, category = "categorical", show.cluser.id = FALSE, show.cluser.id.size = 4, main = "2D plot of cluster in FSPY", plot.theme = theme_bw() )
object |
An FSPY object |
item.use |
character. Items use to 2D plot, axes x and y must be numeric. |
color.by |
character. Dot or mesh color by which character. It can be one of the column of plot.meta, or it can be just "density" (the default value). |
size.by |
character. Size of the dot |
order.by |
vector. Order of color theme. |
size |
numeric. Size of the dot |
alpha |
numberic. Transparency (0-1) of the dot, default is 1. |
category |
character. numeric or categorical |
show.cluser.id |
logical. Whether to show cluster id in the plot. |
show.cluser.id.size |
numeric. Size of the cluster id. |
main |
character. Title of the plot. |
plot.theme |
themes from |
ggplot2 figure
if (FALSE) { plotCluster(fspy) plotCluster(fspy, item.use = c("PC_1", "PC_2")) plotCluster(fspy, item.use = c("PC_2", "PC_3")) plotCluster(fspy, item.use = c("PC_2", "PC_3"), color.by = "CD43", category = "numeric") plotCluster(fspy, item.use = c("PC_2", "PC_3"), color.by = "CD43", category = "numeric") + scale_colour_gradientn(colors = c("blue", "white", "red")) plotCluster(fspy, item.use = c("tSNE_1", "tSNE_2")) plotCluster(fspy, item.use = c("tSNE_1", "tSNE_2"), show.cluser.id = T) plotCluster(fspy, item.use = c("DC_1", "DC_2")) plotCluster(fspy, item.use = c("UMAP_1", "UMAP_2")) }