View source: R/PlottingFunctions.R
FeatureScatterPlot | R Documentation |
Create a scatter plot of the data on a 2-dim ebedding colored by feature. If discrete (factor) data is passed, the colorscale parameter must be provided, otherwise the plot will default to gradient shading.
FeatureScatterPlot(
flat_embedding,
feature,
title,
subtitle,
featurename,
colorscale = NULL,
pointsize = 1,
hide_legend = FALSE,
legsize = 5,
legt = 5,
legtxt = 5,
grad_lim = NULL,
autoscale_dropout = FALSE,
dropout_NA = TRUE
)
flat_embedding |
a low dim embedding of cells |
feature |
a scalar representation of feature |
title |
the title of the plot |
subtitle |
the subtitle of the plot |
featurename |
the name of the feature to title the legend |
colorscale |
color scale for discrete data |
pointsize |
the size of geom point |
hide_legend |
hide the legend and return a list, containing the legendless plot and the legend |
legsize |
the size of the legend |
legt |
size of legend title |
legtxt |
size of legend text |
grad_lim |
the limits of the color gradient for continuous features, this should usually be in log-expression space, overrides autoscale_dropout |
autoscale_dropout |
whether to set plots where the feature space is 0 to #102033, default min for scale_color_gradient auto scaling, overrides dropout_NA |
dropout_NA |
whether to set plots where the feature space is 0 to NA, note: the legend element in a hide_legend output will be NULL |
a ggplot2 object
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