最近要处理蛮大的数据。结果这个数据放到R中，却出现了内存不够的问题。
关于计算机的基础的知识，是我一直以来的薄弱项。
我现在拥有足够的精力和时间，所以，我希望能够认真解决这个问题。
解决方法，并没有想象的那么复杂。
在要处理的大数据的代码前，添加gc()
即如下所示：
coverage_cutoff <- 3
coverage_percentage <- 0.2
cell_percentage <- 0.2
artefact_percentage <- 0.03
gc() #即这行指令 #下面的处理将占用很大的内存，在运行之前先删去不必要的
preprocess_genetics <- read_sclineager(runinfo,
coverage_cutoff,
coverage_percentage,
cell_percentage,
out_folder,
artefact_percentage)
最终运行成功。
[1] "./mutations/cell/1"
[1] "./mutations/cell/2"
[1] "./mutations/cell/3"
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[1] 87581 86
Processing coverage data for 1 th cell
Processing coverage data for 2 th cell
Processing coverage data for 3 th cell
Processing coverage data for 4 th cell
Processing coverage data for 5 th cell
Processing coverage data for 6 th cell
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Processing coverage data for 11 th cell
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Processing coverage data for 15 th cell
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[1] 50880 86
keep
FALSE TRUE
50351 529
keep
FALSE TRUE
9 77