investigate how S7 object size increases

[kelly-sovacool]

as we add raw, filtered, normalized counts, how does the memory usage of the object increase?

[kelly-sovacool]

step up from 10, 50, 200, to 500 samples. ~58,000 genes.

store raw, filtered, and normalized counts.

make pretty plots showing how object memory size increases with increasing samples.

[kelly-sovacool]

Also compare to average Seurat object (can't be the same dataset as for reneeTools, seurat is for single cell). This should take an order of magnitude less.

[kelly-sovacool]

pryr::object_size() https://rdpeng.github.io/RProgDA/the-role-of-physical-memory.html

[kelly-sovacool]

[kelly-sovacool]

now with comparison to seurat (single cell) objects

[kelly-sovacool]

completed

source code for plots: https://github.com/CCBR/reneeTools/blob/7773ad0530d82871b0573c7fc87f0c48842d389a/vignettes/memory.Rmd