Type: | Package |
Title: | Seamless 'Rcpp' Benchmarking |
Version: | 1.1 |
Date: | 2021-11-01 |
Author: | Zach DeBruine |
Maintainer: | Zach DeBruine <zacharydebruine@gmail.com> |
Description: | Time the execution of overlapping or unique 'Rcpp' code chunks using convenient methods, seamlessly write timing results to an 'RcppClock' object in the R global environment, and summarize and/or plot the results in R. |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Imports: | Rcpp (≥ 1.0.7), ggplot2 |
LinkingTo: | Rcpp |
RoxygenNote: | 7.1.2 |
Suggests: | testthat (≥ 3.0.0) |
Config/testthat/edition: | 3 |
NeedsCompilation: | yes |
Packaged: | 2021-11-04 10:54:35 UTC; Owner |
Repository: | CRAN |
Date/Publication: | 2021-11-06 15:00:19 UTC |
RcppClock
Description
Time Rcpp functions and summarize, print, and plot runtime statistics
Usage
## S3 method for class 'RcppClock'
summary(object, units = "auto", ...)
## S3 method for class 'RcppClock'
print(x, ...)
## S3 method for class 'RcppClock'
plot(x, ...)
Arguments
object |
RcppClock object |
units |
nanoseconds ( |
... |
arguments to other functions |
x |
RcppClock object |
Details
See https://github.com/zdebruine/RcppClock/readme.md for information on how to use the package.
RcppClock functions
See the RcppClock README on https://github.com/zdebruine/RcppClock#readme
for basic usage examples.
When the Rcpp Rcpp::clock::stop()
method is called in Rcpp code, an S3 RcppClock
object
will be created in the global environment. This object contains three methods:
-
summary
: computes runtime summary statistics and returns adata.frame
-
print
: runssummary
and then prints the resultingdata.frame
-
plot
: a ggplot2 violin plot with jitter points showing runtimes for each expression
The fibonacci
function is a simple example of how to use RcppClock.
See the source code on github.com/zdebruine/RcppClock/src/fibonacci.cpp
See Also
Examples
library(RcppClock)
fibonacci(n = 25:35, reps = 10)
# this function creates a global environment variable "clock"
# that is an S3 RcppClock object
clock
plot(clock)
summary(clock, units = "ms")
## Not run:
# this is the Rcpp code behind the "fibonacci" example function
```{Rcpp}
//[[Rcpp::depends(RcppClock)]]
#include <RcppClock.h>
int fib(int n) {
return ((n <= 1) ? n : fib(n - 1) + fib(n - 2));
}
//[[Rcpp::export]]
void fibonacci(std::vector<int> n, int reps = 10) {
Rcpp::Clock clock;
while(reps-- > 0){
for(auto number : n){
clock.tick("fib" + std::to_string(number));
fib(number);
clock.tock("fib" + std::to_string(number));
}
}
clock.stop("clock");
}
```
## End(Not run)
Simple RcppClock example
Description
Time the computation of fibonacci numbers
Usage
fibonacci(n, reps = 10L)
Arguments
n |
vector giving integers for which to compute the fibonacci sum |
reps |
number of replicates for timing |
Details
The function being timed is the following:
int fib(int n) { return ((n <= 1) ? n : fib(n - 1) + fib(n - 2)); }
Runtime for computations less than n = 25
is nearly unmeasurable.
Examples
fibonacci(n = c(25:35), reps = 10)
# this function creates a global environment variable "clock"
# that is an S3 RcppClock object
clock
plot(clock)
summary(clock, units = "ms")