add_groups_col: Add group names based on experiment name
In tkostas/komics: Tools to analyze omics data

Reads the experiments names from a column, and creates a new column with the group name for each experiment. Parital matchins is supported, so groups can be matched even if you add additional tags to the experiment names (e.g. 'log2_').

1 2	add_groups_col(x, samples_vector, groups_vector, samples_column, column_name = "groups")

`x`	A dataframe that contains one column with experiments names.
`samples_vector`	A vector containing the experiment names.
`groups_vector`	A vector containing the group names for each sample of the samples_vector. Info for groups_vector and samples_vector can be stored in a separate dataframe and link the corresponding columns.
`samples_column`	The column name from the input dataframe that containins the sample names. Exact match of this column will be used, so write the full name.
`column_name`	The name of the new column that will include the group name. Default value is 'groups', and this column should not already exist in the dataframe used as input.

 grouped_data <- add_groups(x = NS_secreted_long,
                            samples_vector = groups_df$headers_raw,
                            groups_vector = groups_df$group,
                            samples_column = "variable")