plot_factor_value: Visualize PCs on their locations.
In shangll123/SpatialPCA: Spatially Aware Dimension Reduction for Spatial Transcriptomics
View source: R/SpatialPCA_utilties.R
plot_factor_value R Documentation
Visualize PCs on their locations.
Description
This function visualizes the low dimensional component values.
Usage
plot_factor_value(location, PCs, textmethod, pointsize = 2, textsize = 15)
Arguments
location
A n cell by k dimension of location matrix. n is cell number, k=2 if the spots are on 2D space.
PCs
A d by n matrix of low dimensional components.
textmethod
A text string of the name of method used to extract latent factors, e.g. "SpatialPCA" or "PCA". It will be shown as the title of the figures.
pointsize
The point size of each location for visualization.
textsize
The text size in the figure legend.
Value
A list of ggplot objects for factor value plots.
shangll123/SpatialPCA documentation built on April 17, 2024, 3:15 a.m.
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View source: R/SpatialPCA_utilties.R
| plot_factor_value | R Documentation |
Visualize PCs on their locations.
Description
This function visualizes the low dimensional component values.
Usage
plot_factor_value(location, PCs, textmethod, pointsize = 2, textsize = 15)
Arguments
location |
A n cell by k dimension of location matrix. n is cell number, k=2 if the spots are on 2D space. |
PCs |
A d by n matrix of low dimensional components. |
textmethod |
A text string of the name of method used to extract latent factors, e.g. "SpatialPCA" or "PCA". It will be shown as the title of the figures. |
pointsize |
The point size of each location for visualization. |
textsize |
The text size in the figure legend. |
Value
A list of ggplot objects for factor value plots.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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