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The [`profvis`](https://github.com/r-lib/profvis) package is easier to install than `proffer` and easy to invoke.
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```{r, eval = FALSE}
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library(profvis)
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profvis({
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n <- 1e5
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x <- data.frame(x = rnorm(n), y = rnorm(n))
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for (i in seq_len(n)) {
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x[i, ] <- x[i, ] + 1
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}
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x
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})
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```
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However, `profvis`-generated flame graphs can be [difficult to read](https://github.com/r-lib/profvis/issues/115) and [slow to respond to mouse clicks](https://github.com/r-lib/profvis/issues/104).
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