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knitr::opts_chunk$set(echo = TRUE)
Below is how to use scatterbar from the provided spatial transcriptomic data from the mouse olfactory bulb tissue sample.
library(scatterbar) data("mOB") plot(mOB$xy) head(mOB$data) start.time <- Sys.time() scatterbar::scatterbar(mOB$data, mOB$xy) + ggplot2::coord_fixed() end.time <- Sys.time() print(end.time - start.time)
We can change the order of how each bar is laid out by changing the order of the cell-type proportion matrix of spatial transcriptomic data. We can also combine scatterbar with other ggplot geoms and customization!
library(ggplot2) start.time <- Sys.time() scatterbar::scatterbar(mOB$data[, c(2,3,4,5,6,7,8,1)], mOB$xy, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1) + geom_point(data=mOB$xy, mapping=aes(x=x, y=y)) + theme_bw() + ylab('y') + ggplot2::coord_fixed() end.time <- Sys.time() print(end.time - start.time)
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