The function `reco` is a swiss army tool for value recoding (rule-based replacement of vector elements). - It offers several alternatives to specify such rules of replacement, either by using a data.frame, replacement rules that mimic the syntax in Stata's recode and hmisc:recode hmisc-package, a file, default replacement sets or the label attribute of the input vector. - It comes with convenience functions to convert classes and monitor the resulting changes. - It can also be used in an interactive mode to create such replacement rules on the fly. One can either start with a predefined data.frame of replacement alternatives to select from or create such a data.frame from the scratch and record it to a replacement file. - When replacements are provided as list that is not a `data.frame`, a chain of sequential replacements is executed on the vector. - It additionally provides some default replacement lists for standard tasks. - Conceptually `reco` is not implementing new replacement functionalities but just a wrapper that calls other function to do the work, like e.g. dplyr::recode.
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