scale_rows: Scale rows
In tkostas/komics: Tools to analyze omics data

Select the columns of interest and scale their rows. Scale function takes the default argument center, scale plus some additional, common with other function of the package. The output can be either appended into the input dataframe or you can drop the input keeping only the scaled data.

1 2	scale_rows(x, columns = "..all..", complete_match = FALSE, center = TRUE, scale = TRUE, label = "scaled_", drop_input = FALSE)

`x`	A dataframe with the values to be normalized.
`columns`	Vector containing column names to be standardized. By default all columns will be selected `"..all.."`. You can add a vector with the column names, or a part of the column name that is unique and use partial matching to identify columns (e.g. "values_"). If complete matching is used, specify `complete_match` argument to TRUE.
`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.
`center`	See `link{scale}` function.
`scale`	See `link{scale}` function.
`label`	Label tag to be added in each collumn. Default value is "nmax_".
`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.

df <- data.frame(text = c("A", "B", "C", "D", "E", "F", "G"),
                 V1 = c(1, 2, 3, 4, 3, 2, 1),
                 V2 = c(5, 6, 4, 3, NA, 6, 7),
                 V3 = c(3, 4, 5, 6, 7, 4, 3))

scaled_df <- scale_rows(x = df,
                        columns = c("V1", "V2", "V3"),
                        complete_match = TRUE,
                        drop_input = TRUE)

scaled_df <- scale_rows(x = df,
                        columns = "V",
                        complete_match = FALSE)