dplyr object not found error [closed] - r

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I am not quite sure why this piece of code isn't working.
Here's how my data looks like:
head(test)
Fiscal.Year Fiscal.Quarter Seller Product.Revenue Product.Quantity Product.Family Sales.Level.1 Group Fiscal.Week
1 2015 2015Q3 ABCD1234 4000 4 Paper cup Americas Paper Division 32
2 2014 2014Q1 DDH1234 300 5 Paper tissue Asia Pacific Paper Division 33
3 2015 2015Q1 PNS1234 298 6 Spoons EMEA Cutlery 34
4 2016 2016Q4 CCC1234 289 7 Knives Africa Cutlery 33
Now, my objective is to summarize revenue by year.
Here's the dplyr code I wrote:
test %>%
group_by(Fiscal.Year) %>%
select(Seller,Product.Family,Fiscal.Year) %>%
summarise(Rev1 = sum(Product.Revenue)) %>%
arrange(Fiscal.Year)
This doesnt work. I get the error:
Error: object 'Product.Revenue' not found
However, when I get rid of select statement, it works but then I don't get to see the output with Sellers, and Product family.
test %>%
group_by(Fiscal.Year) %>%
# select(Seller,Product.Family,Fiscal.Year) %>%
summarise(Rev1 = sum(Product.Revenue)) %>%
arrange(Fiscal.Year)
The output is :
# A tibble: 3 x 2
Fiscal.Year Rev1
<dbl> <dbl>
1 2014 300
2 2015 4298
3 2016 289
This works well.
Any idea what's going on? It's been about 3 weeks since I started programming in R. So, I'd appreciate your thoughts. I am following this guide: https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html
Also, I looked at similar threads on SO, but I believe they were relating to issues because of "+" sign:Error in dplyr group_by function, object not found
I am looking for the following output:
Fiscal.Year Rev1 Product Family Seller
<dbl> <dbl> ... ...
1 2014 ...
2 2015 ...
3 2016 ...
Many thanks

Answer 1

Ok. This did the trick:
test %>%
group_by(Fiscal.Year, Seller,Product.Family) %>%
summarise(Rev1 = sum(Product.Revenue)) %>%
arrange(Fiscal.Year)
Output:
Source: local data frame [4 x 4]
Groups: Fiscal.Year, Seller [4]
Fiscal.Year Seller Product.Family Rev1
<dbl> <chr> <chr> <dbl>
1 2014 DDH1234 Paper tissue 300
2 2015 ABCD1234 Paper cup 4000
3 2015 PNS1234 Spoons 298
4 2016 CCC1234 Knives 289