[R] cleanup/replacing a value on condition of another value

[Eric Berger]

The tibble shows the 'date' column as type date but you are comparing
io a string.
Perhaps replace that piece by

date == as.Date("2021-10-23")

Not tested.
HTH,
Eric

On Mon, Oct 25, 2021 at 2:26 PM Dr Eberhard W Lisse <nospam using lisse.na> wrote:
>
> Hi,
>
> I have data from JHU via the 'coronavirus' package which has a value for
> the confirmed cases for 2021-10-23 which differs drastically (357) from
> what is reported in country (23).
>
>         # A tibble: 962 × 4
>           country date       type      cases
>           <chr>   <date>     <chr>     <int>
>         1 Namibia 2021-10-24 confirmed    23
>         2 Namibia 2021-10-24 death         4
>         3 Namibia 2021-10-23 confirmed   357
>         4 Namibia 2021-10-23 death         1
>         5 Namibia 2021-10-22 confirmed    30
>         6 Namibia 2021-10-22 death         1
>         # … with 956 more rows
>
> I am using a '%>%' pipeline and am struggling to mutate 'cases' to NA
> using something like
>
>         country == 'Namibia' & date == '2021-10-23' & cases == 357
>
> so that if or when the data-set is corrected I don't have to change the
> code (immediately), even after some googling.
>
> I can do
>
>         cases == 357
>
> only, but that could find other cases as well, which is obviously not
> the thing to do
>
> Any suggestions?
>
> greetings, el
>
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