Rcpp cut nas out of vector
WebAug 25, 2024 · I'm learning Rcpp.In this example, I'm attempting to roll my own cummin() function like base R's cummin(), except I'd like my version to have a na.rm argument. This … WebBelow is an overview of some of the major standard C++ data structures. Standard C++ Data Structure. Outline. std::vector. Variable length array: each element is arranged continuously in memory. std::list. Variable length array: each element is distributed in memory. std::map, std::unordered_map. Associative array: Holds data in key-value format.
Rcpp cut nas out of vector
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Web28.5.1 Environment::Rcpp_namespace() 28.5.2 Environment::namespace_env(package) 29 Iterator; 30 Standard C++ data structures and algorithms. 30.1 Standard C++ data structure; 30.2 Conversion between standard C++ data structures and Rcpp data structures; 30.3 Use standard C++ data structures as arguments and return values of Rcpp functions; 30.4 ... Websubset An index vector indicating which rows should be used. (NOTE: If given, this argument must be named.) weights Vector of non-negative observational weights; fractional weights are allowed (default NULL). na.action A function to specify the action to be taken if NAs are found. (NOTE: If given, this argument must be named.)
WebRcppGSL: Rcpp Integration for GNU GSL Vectors and Matrices. This package uses Rcpp to connect the R system to the GNU GSL, a collection of numerical routines for scientific computing, particularly its vector and matrix classes. Examples Faster lm() for OLS regression. The fastLm() function included as file src/fastLm.cpp in the package: WebJun 24, 2014 · To set the landscape: Regular R vectors have an (optional) names attribute, data.frame s have a row.names attribute for rows, and names attribute for columns, and. …
WebJan 31, 2013 · Sorting Numeric Vectors in C++ and R. Consider the problem to sort all elements of the given vector in ascending order. We can simply use the function std::sort from the C++ STL. Consider the problem of sorting the first n elements of a given vector. The function std::partial_sort from the C++ STL does just this. WebRcppParallel - SC2. 2. RcppParallel. Here we briefly introduce the RcppParallel R package. As explained in the previous section, Rcpp and R’s C API are not guaranteed to be thread-safe, hence calling them within parallel code is ‘for experts only’. RcppParallel provides tools to access R vectors and matrices in a thread-safe way, thus ...
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WebRcpp sugar gives us the possibility to define this function much more R-like in C++. Here is how we can write the C++ code instead: We need use Rcpp::wrap () to return non-SEXP objects. Function fun_cpp_sugar () is now much more neat than the previously defined function fun_cpp_sugar () and very similar to our R code above. As R users, we use ... dunwell carpet cleaning launcestonWebMay 2, 2024 · length (nona_foo) is 21, because the NA values have been removed. Remember is.na (foo) returns a boolean matrix, so indexing foo with the opposite of this … dunwell ashley furnitureWebAug 9, 2010 · class: center, middle, inverse, title-slide # std::vector and Rcpp Vectors ### Colin Rundel ### 2024-02-28 --- exclude: true ```r knitr::opts_chunk$set(cache=TRUE ... dunwell coachworksWebDec 24, 2015 · Rcpp function for adding elements of a vector. I have a very long vector of parameters (approximately 4^10 elements) and a vector of indices. My aim is to add … dunwell collision freeportWebRcppVector, RcppMatrix and RcppStringVector are C++ classes that can pass vectors (matrices) of R objects of appropriate types to C++ via the .Call () function interface. They are part of the 'classic' Rcpp API. The vector and matrix types are templated and can operate on R types intger and numeric. The RcppVectorView and RcppMatrixView are ... dunwell ashleyWebJan 8, 2013 · Note the main things we do here: Rcpp’s attributes handle any as -ing and wrap -ing of vectors; we even just specify our return type as std::vector< std::string >. We then call the void method std::sort, which can sort a string in place, … and we return that vector of strings. Now, let’s test it, and let’s benchmark it as well. dunwell by ashleyWebRcpp makes it very simple to connect C++ to R. While it is possible to write C or Fortran code for use in R, it will be painful by comparison. Rcpp provides a clean, approachable API that lets you write high-performance code, insulated from R’s arcane C API. Typical bottlenecks that C++ can address include: dunwell brothers