How to get the sum of two observations in one variable

[Alaba]

Hi Guys

I Have 3 column, Merchant RGP, Facevalue, Status,

Merchant RGP	FaceValue	Status
MAY &	1500	Successful
MAY &	1500	Failed
MAY &	1500	Successful
Markers	1500	Failed
Markers	1500	Failed
Markers	1500	Successful
Markers	241	Failed
Bloosom	1500	Failed
Bloosom	1501	Failed
Flutters	300	Successful
Flutters	1000	Failed
Flutters	200	Failed
Flutters	2000	Successful
Flutters	200	Successful
Flutters	5100	Failed
Pecks	100	Successful
Pecks	200	Successful
Pecks	500	Failed
Pecks	300	Failed
Pecks	100	Successful

The Status column has been grouped into two observations eg successful and failed
in my code, I have grouped by the merchant RGP.

What I want is that I want to create or mutate and give me the sum of successful value for each merchant and also give me sum of failed value for each merchant
and create another column and give me the percentage of successful for each merchant and repeat the same for failed

but I didn't get the result
it keeps returning zeros for each merchant
you can help me add or edit my code and write a new one for me probably learn from it

here is my code

April_updated_new_stylea %>%
group_by(Merchant_RGP) %>%
summarise(Successful_rate = sum(Status == "Successful"),
failure_rate = sum(Status != "Successful" ))%>%
mutate(Successful_rate_pct = Successful_rate/sum(Successful_rate),
Failure_rate_pct = failure_rate/sum(failure_rate),
Success_Pct = round(Successful_rate_pct , digits = 2),
Failure_Pct = round(Failure_rate_pct, digits = 2)

Thank you

[nirgrahamuk]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Alaba]

Hi

Thanks for the feedback

i just added some few lines for reprex as you suggested

your feedback is appreciated

[nirgrahamuk]

Hi friend, sorry, you must have missed the part where practical advice was given around how to share an example data.frame you prepared. Look for dput() and also how to format text as code for the forum. It's all there, keep going with it, it will pay off

[josiah]

The challenge is that Successful and Failed cannot be summed. You need to make a column that can be summed from that.

I think you're looking for something like

df %>% 
  mutate(stat = ifelse(status == "Successful", 1, 0)) %>% 
  group_by(merchant, stat) %>% 
  mutate(n_stat = sum(stat)) %>% 
  group_by(merchant) %>% 
  mutate(x = n_stat / sum(n_stat))