normalizer: Normalizing OTU data
In yewei369/clotu: Classification of OTUs

Description Usage Arguments Value Examples

Normalize OTU data with reference OTUs

1	normalizer(data_tar, thr, method = 0, ref, del.otu = TRUE, del.sam = TRUE)

`data_tar,`	dataset split by targets
`thr,`	threshold for zombie OTU/sample
`method,`	digits for normalization method, 0 for Kaul's method, 1 for Jun Li's
`ref,`	index of reference OTUs
`del.otu,`	default value of T; if T the zombie OTU will be deleted
`del.sam,`	default value of T; if T the zombie sample will be deleted

normalized OTU dataset

da<-simotu.gaus(50,700,3,nref=5,full.mean=10000,unif.min=0,unif.max=0.4,seed=1234) 
al<-data_extract(da,Target %in% c("target1","target2","target3")) # no otu names
ana0<-zomotu(al,0) ## delete otus not present in any sample, no otu names
ta<-target_split(da,ana0$otu,"Target")
ta_norm<-normalizer(ta,0,0,ana0$ref,FALSE,TRUE)