@@ -1,7 +1,7 @@

 Package: scmeth

 Type: Package

 Title: Functions to conduct quality control analysis in methylation data

-Version: 1.1.0

+Version: 1.1.1

 Author: Divy Kangeyan <[email protected]>

 Maintainer: Divy Kangeyan <[email protected]>

 Depends: R (>= 3.5.0)

@@ -139,7 +139,7 @@ g

 ```{r cpg_discretization,echo=FALSE,warning=FALSE,message=FALSE,fig.height=5, fig.width=5, eval=TRUE,fig.align='center'}

 # CpG Discretization

-discretizedCpG <- cpgDiscretization(bs,covVec,subSample=params$nCpGs,offset=params$offset)

+discretizedCpG <- cpgDiscretization(bs,subSample=params$nCpGs,offset=params$offset,coverageVec=covVec)

 #percentDiscarded <- discretizedCpG[3]

 percentDiscarded <- discretizedCpG[2]

 sampleNames <- bsseq::sampleNames(bs)

@@ -200,7 +200,7 @@ g

 ## Methylation Distribution

 ```{r meth_dist,echo=FALSE,warning=FALSE,message=FALSE,fig.height=7, fig.width=10,eval=TRUE,fig.align='center'}

 # Methylation distribution for all the cells

-methylDistMatrix <- scmeth::methylationDist(bs,covVec,subSample=params$nCpGs,offset=params$offset)

+methylDistMatrix <- scmeth::methylationDist(bs,subSample=params$nCpGs,offset=params$offset,coverageVec=covVec)

 g <- ggplot2::ggplot(methylDistMatrix, ggplot2::aes_string(x='Var2',

                                                         y='Var1',fill='value'))