View source: R/normalize_norm.R
| normalize_counts | R Documentation | 
This provides shortcut interfaces for normalization functions from deseq2/edger and friends.
normalize_counts(data, design = NULL, method = "raw", ...)
| data | Matrix of count data. | 
| design | Dataframe describing the experimental design. (conditions/batches/etc) | 
| method | Normalization to perform: 'sf|quant|qsmooth|tmm|upperquartile|tmm|rle' I keep wishy-washing on whether design is a required argument. | 
| ... | More arguments might be necessary. | 
Dataframe of normalized(counts)
[edgeR] [limma] [DESeq2] [preprocessCore] [BiocGenerics]
## Not run: 
 norm_table = normalize_counts(count_table, design = design, norm='qsmooth')
## End(Not run)
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