Closed yasharw closed 4 years ago
For plotScoreHeatmap
, this function is essentially a wrapper around pheatmap and we made it so that typical pheatmap inputs can be provided in your plotScoreHeatmap()
call. So, as mentioned in the ...
entry in ?plotScoreHeatmap
, you can provide the relevant pheatmap inputs and these will get passed through to the eventual pheatmap
call.
For plotScoreDistribution
, depending on inputs, the basic output is either a pure ggplot object or a list of pure ggplot objects. So the method for resizing is not specific to SingleR functions. You should be able to adjust the size by adjusting the size of your plot window, or by using the inputs whatever function you are using to save the plot.
Hi all,
I'm using
plotScoreDistribution
andplotScoreHeatmap
to visualize the SingleR scores on my dataset. However, as I am using SingleR fine labels for labeling my clusters, I have >30 cell labels, which is crowding the outputs of these functions. Usually, I can fix this with packages likepheatmap
by specifying the height and width of the output. However, I can't find these arguments with these two functions.integrated_predicted_cell_types_blueprint_encode.pdf score_distribution_blueprint_encode.pdf
Thank you!