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distinct.cpp
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distinct.cpp
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#include "pch.h"
#include <dplyr/main.h>
#include <dplyr/visitor_set/VisitorSetIndexSet.h>
#include <dplyr/RowwiseDataFrame.h>
#include <dplyr/MultipleVectorVisitors.h>
#include <dplyr/DataFrameSubsetVisitors.h>
#include <dplyr/Result/Count_Distinct.h>
using namespace Rcpp;
using namespace dplyr;
SEXP select_not_grouped(const DataFrame& df, const SymbolVector& keep, const SymbolVector& new_names);
// [[Rcpp::export]]
SEXP distinct_impl(DataFrame df, const SymbolVector& vars, const SymbolVector& keep) {
if (df.size() == 0)
return df;
// No vars means ungrouped data with keep_all = TRUE.
if (vars.size() == 0)
return df;
check_valid_colnames(df);
DataFrameVisitors visitors(df, vars);
std::vector<int> indices;
VisitorSetIndexSet<DataFrameVisitors> set(visitors);
int n = df.nrows();
for (int i = 0; i < n; i++) {
if (set.insert(i).second) {
indices.push_back(i);
}
}
return DataFrameSubsetVisitors(df, keep).subset(indices, get_class(df));
}
// [[Rcpp::export]]
SEXP n_distinct_multi(List variables, bool na_rm = false) {
if (variables.length() == 0) {
stop("Need at least one column for `n_distinct()`");
}
MultipleVectorVisitors visitors(variables);
NaturalSlicingIndex everything(visitors.nrows());
if (na_rm) {
Count_Distinct_Narm<MultipleVectorVisitors> counter(visitors);
return counter.process(everything);
} else {
Count_Distinct<MultipleVectorVisitors> counter(visitors);
return counter.process(everything);
}
}