#' Mean Cell Type
#'
#' Finds the mean of each cell type per genotype sample
#' @param df the dataframe
#
#' @keywords mean, colmeans
#' @export
#' @examples
#' ColMean_funct()
##Function 2 Final Project
#get the mean of each column
ColMean_funct<- function(df){
Col_Means_df<- colMeans(df)
return(Col_Means_df)
}
#apply after function1 VVVV
#mainScript to convert the separated list into dataframes
#Het_df<- as.data.frame(Split_Genotype_list[[1]])
#KO_df<- as.data.frame(Split_Genotype_list[[2]])
#WT_df<- as.data.frame(Split_Genotype_list[[3]])
#remove first two columns so we can take the mean of each column:
#Het_df<- Het_df[3:14]
#KO_df<- KO_df[3:14]
#WT_df<- WT_df[3:14]
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