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Update 23_Measuring_performance.Rmd - Added possible solution / workaround for first exercise #285

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Update 23_Measuring_performance.Rmd - Added possible solution / workaround for first exercise #285

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12 changes: 9 additions & 3 deletions 23_Measuring_performance.Rmd
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Expand Up @@ -70,11 +70,17 @@ f2 <- function(n = 1e5) {
profvis::profvis(f2(), torture = TRUE)
```

Unfortunately, this still takes too long, and we are literally stuck in profiling.
Unfortunately, this still takes too long, and we are literally stuck in profiling. If we set `torture = FALSE` or `torture = 0` the function is too fast for profiling. To workaround this problem, we can use a higher step integer for torture, for example set `torture = 10`. This will still take some time but is already a lot quicker.

Anecdotally, one of the authors once finished the profiling under an older R version. But the output seemed to be not very meaningful.
```{r,eval = FALSE}
f2 <- function(n = 1e5) {
x <- rep(1, n)
rm(list = "x")
}
profvis::profvis(f2(), torture = 10)
```

In conclusion, this question appears to be unanswerable for us, even for Hadley.
The output does not seem meaningful, as we can see that the garbage collector takes a lot of turns. Though, the `torture` flag do allow us to profile a function, which otherwise would be too fast for profiling.

## Microbenchmarking
<!-- 23.3 -->
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