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Correct a typo #82

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Correct a typo #82

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2 changes: 1 addition & 1 deletion vignettes/lazyeval.Rmd
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Expand Up @@ -362,7 +362,7 @@ To illustrate these challenges, I will implement a `sieve()` function that works

1. It always returns a data frame.

The implementation of `sieve()` is straightforward. First we use `f_eval()` to perform NSS. Then we then check that we have a logical vector, replace `NA`s with `FALSE`, and subset with `[`.
The implementation of `sieve()` is straightforward. First we use `f_eval()` to perform NSS. Then we check that we have a logical vector, replace `NA`s with `FALSE`, and subset with `[`.

```{R}
sieve <- function(df, condition) {
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