convert_to_df: Convert selected values from a dataframe

In tkostas/komics: Tools to analyze omics data

Description

Convert selected values to target value. Input and output are both dataframes. By default 0 is replaced with NA. Non-numeric column names should be included in the exclusion argument. Columns can be selected either by exact name matching or by partial matching. For partial matching turn complete_match = FALSE.

Usage

convert_to_df(x, lab = "", value = 0, to = NA, exclusion = c(),
  complete_match = TRUE)

Arguments

x	A dataframe with values.
lab	Label to be added in each column after conversion. By default nothing is added.
value	Value to be changed. Default is 0.
to	Target value. Default is NA.
exclusion	Vector containing labels from the columns that should be excluded. Even a partial match 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.

Examples

new_data <- convert_to_df(x, value = 0, to = NA, exclusion = c(<e2><80><9c>Protein<e2><80><9d>, <e2><80><9c>pept<e2><80><9d>))

tkostas/komics documentation built on May 24, 2019, 7:31 a.m.