View source: R/cohortAnalyseBatch.R
mergeBatches | R Documentation |
Merges data from several batches for cohort analysis
mergeBatches(paths, targetMetaDataFile, targetRdirectory, cpus = 1)
paths |
data.frame: One row for each batch to be merged. |
targetMetaDataFile |
character: Path to where the merged metaData will be stored. This also affect where a downstream cohort analysis is stored. |
targetRdirectory |
character: Path to where the Rdata will be stored. |
This function merges the data from multiple batches, setting them up for a joint cohort analysis. Note that this is only for the purpose of a downstream cohort analysis. The output R directory cannot be run as a batch Rdirectory.
## Not run:
paths = data.frame('metaDataFile' = c('~/superFreq/myFirstBatch/metaData.txt', '~/superFreq/mySecondBatch/metaData.txt'),
'Rdirectory'= c('~/superFreq/myFirstBatch/R', '~/superFreq/myFirstBatch/R'))
targetMetaDataFile = '~/superFreq/mergedAnalysis/metaData.txt'
targetRdirectory = '~/superFreq/mergedAnalysis/R'
mergeBatches(paths, targetMetaDataFile, targetRdirectory)
outputDirectories = list('Rdirectory'=targetRdirectory)
cohortAnalyseBatch(targetMetaDataFile, outputDirectories, cpus=6, genome='hg19')
## End(Not run)
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