calc_exp_df: Calculate exponential values from a dataframe
In tkostas/komics: Tools to analyze omics data

Reads a data frame and calculates the exponential value (basex) for the defined columns. Non-numeric columns can be excluded by adding the column name in exclusion vector. For partial matching of column names use complete_match = FALSE. See calc_exp_vec.

1 2	calc_exp_df(x, base = 2, sub = "", replacement = "", exclusion = c(), complete_match = TRUE, append = FALSE)

`x`	Input data frame. It can contain also non-numeric columns.
`base`	Base number for which you will calculate the exponential value. Default value is 2.
`sub`	Character string to substitute in column names. Default is empty
`replacement`	Character string to replace the substituted one. Default is empty.
`exclusion`	Vector containing labels from the columns that should be excluded. Even a part of the label is enough.
`complete_match`	Logical with default value `TRUE`. If exclusion vector contains exactly the column names of the excluded columns, leave the `complete_match` to `TRUE`. For partial matching of the columns switch to `FALSE`.
`append`	Logical with default value `FALSE`. If set `TRUE` processed data will be added in the starting dataframe. If `TRUE`, the processed columned will be merged only with the excluded ones.

y1 <- calc_exp_df(x = my_data,
                  base = 2,
                  sub = "norm_log_",
                  replacement = "norm_",
                  exclusion = colnames(y)[1:3],
                  complete_match = TRUE)