I am new to dplyr() package and trying to use it for my visualization assignment. I am able to pipe my data to ggplot() but unable to do that with plot(). I came across this post and the answers including the one in comments, didn't work for me.
Code 1:
emission <- mynei %>%
select(Emissions, year) %>%
group_by(year) %>%
summarise (total=sum(Emissions))
emission %>%
plot(year, total,.)
I get the following error:
Error in plot(year, total, emission) : object 'year' not found
Code 2:
mynei %>%
select(Emissions, year) %>%
group_by(year) %>%
summarise (total=sum(Emissions))%>%
plot(year, total, .)
This didn't work either and returned the same error.
Interestingly, the solution from the post I mentioned works for the same dataset but doesn't work out for my own data. However, I am able to create the plot using emission$year and emission$total.
Am I missing anything?
plot.default doesn't take a data argument, so your best bet is to pipe to with:
mynei %>%
select(Emissions, year) %>%
group_by(year) %>%
summarise (total=sum(Emissions))%>%
with(plot(year, total))
In case anyone missed @aosmith's comment on the question, plot.formula does have a data argument, but of course the formula is the first argument so we need to use the . to put the data in the right place. So another option is
... %>%
plot(total ~ year, data = .)
Of course, ggplot takes data as the first argument, so to use ggplot do:
... %>%
ggplot(aes(x = year, y = total)) + geom_point()
lattice::xyplot is likeplot.formula: there is a data argument, but it's not first, so:
... %>%
xyplot(total ~ year, data = .)
Just look at the documentation and make sure you use a . if data isn't the first argument. If there's no data argument at all, using with is a good work-around.