thinOutBatch: Apply 'thinOut' on all subsets of a data.frame, split by a...
In PTXQC: Quality Report Generation for MaxQuant and mzTab Results
thinOutBatch R Documentation
Apply 'thinOut' on all subsets of a data.frame, split by a batch column
Description
The binsize is computed from the global data range of the filter column by dividing the range
into binCount bins.
Usage
thinOutBatch(data, filterColname, batchColname, binCount = 1000)
Arguments
data
The data.frame to be split and filtered(thinned)
filterColname
Name of the filter column as string
batchColname
Name of the split column as string
binCount
Number of bins in the 'filterColname' dimension.
Value
Data.frame with reduced rows, but identical input columns
PTXQC documentation built on May 29, 2024, 9:26 a.m.
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| thinOutBatch | R Documentation |
Apply 'thinOut' on all subsets of a data.frame, split by a batch column
Description
The binsize is computed from the global data range of the filter column by dividing the range into binCount bins.
Usage
thinOutBatch(data, filterColname, batchColname, binCount = 1000)
Arguments
data |
The data.frame to be split and filtered(thinned) |
filterColname |
Name of the filter column as string |
batchColname |
Name of the split column as string |
binCount |
Number of bins in the 'filterColname' dimension. |
Value
Data.frame with reduced rows, but identical input columns
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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