Hi all! I've written a function that makes use of a python module called ftfy and made it available in R through Reticulate. The aim is to fix broken encoding. The function is, unfortunately, a scalar function. I attempted to vectorise the function. by means of a for loop, but the speed of this function is a real concern when the datasets get over 500 000 rows.
I've adapted the function to conditionally modify only broken text with ifelse statements. I *really* want to speed up this function using Rcpp, but there are two problems 1. I tried researching how to call python functions from R through C++ scripts but none have been successful for me. ( https://gallery.rcpp.org/articles/rcpp-python/ ) 2. I'm having trouble to modifying all elements of a StringVector using Rcpp Any advice would be highly appreciated! Attached are the vectorised function script, conditionally fixing broken encoding, and lastly, my *flawed* Rcpp script -- *Casper Crause* *Cell: 072 475 8969* *Email: ccraus...@gmail.com <ccraus...@gmail.com>*
fixing encoding.R
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Rcpp_fix_encoding.cpp
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