Functional analysis: MCA - Add kmeans clustering to MCA

[dprymidis]

No description provided.

[ChristinaSchmidt1]

I have worked on the MCA file and created/updated) already the two functions for doing MCA on 2 conditions (MCA_2Cond) or with CoRe data (MCA_CoRe). Please use the same parameter names where applicable for the kmeans function.
I also added a parameter so the user can pass their column name in case they have not the same names as we have (default are the names of the DMA output).

I have created a placeholder for you to move the kmeans at the bottom of the R file.

#' MCA_KMeans
#'
#' This script allows you to perform kmeans clustering to compute clusters of metabolites.
#'
#' @param 
#' @param outputFileName \emph{Optional: } Output filename \strong{Default=SiRCle_RCM.csv}
#' @return MCA an instance of the MetaProViz package
#' @export
#'

###############################################################
### ### ### Metabolite Clustering Analysis: K-means ### ### ###
###############################################################

MCA_KMeans <- function()
```

[ChristinaSchmidt1]

Also, please name the new column with the reuslts RG1_kmeans

[ChristinaSchmidt1]

As we discussed in yesterdays meeting, lets talk about the parameter syntax in a dedicated meeting to decide if we can make it similar to the RCM functions or if we should have a similar syntax to heatmap.