calc_row_frequency: Calculate row frequencies
In tkostas/komics: Tools to analyze omics data

Identified samples for each group, reads rows and calculates the number of values above a certain threshold.

1 2	calc_row_frequency(x, sample_vector, group_vector, label = "f_", complete_match = FALSE, threshold = 0, drop_input = FALSE)

`x`	A dataframe with the values to be normalized.
`sample_vector`	Vector containing column names to be used. Column names should follow the same order with the groups defined in the `groups_vector` argument. For example, sample names and corresponding groups can be saved on one table and refer to the specific columns. If complete matching is used, specify `complete_match` argument to TRUE.
`group_vector`	Vector containing goup names. Group_vector should have the same length with the `sample_vector`.
`label`	Character tag to be added in the columns containing the mean group frequencies. Default value is "f_".
`complete_match`	Logical with default value `FALSE` that allows partial matching of the column names for selection of the column for normalizaiton. If set to `TRUE`, columns that match exactly with the input will be used.
`threshold`	Threshold with default value = 0. By default the number of observations with frequency higher than 0 will be calculated.
`drop_input`	Select if you want to append the normalized data into the input dataframe or keep only them. Logical with default value `FALSE`, meaning that the processed values will be added to the input.

data <- data.frame(L1 = c("a", "b", "c", "d", "e", "f", "g", "h"),
                    V1 = c(1, 2, 3, 6, 1, 3, 4, 4),
                    V2 = c(3, 4, 5, 3, 5, 5, 3, 2),
                    V3 = c(6, 7, 4, 2, 3, 2, 7, 6))
calc_row_frequency(x = data, sample_vector = "V", group_vector = "my_group")
calc_row_frequency(x = data, sample_vector = "V", group_vector = "my_group", threshold = 2)