filtering and save

[wf2258]

Hi all,

I am trying to make a plot - one for death rates (which was succesfully done) but now I just want to look at deaths but I am not sure how to get it done as nothing is working.

For death rates, I was able to isolate those variables but cannot figure it our for just deaths.:
This is the one for death rates:ind1 <- nchs$cause=="Unintentional injuries" & nchs$state=="United States"
Unintentional.injuries <- aggregate(nchs$rate[ind1],list(nchs$year[ind1]),mean)
Unintentional.injuries
worked fine and the one below does not work - any suggestions, I am not sure how to rename variables (very new to Rstudio) hope this makes sense

indiv1=nchs$deaths=="Unintentional injuries1" & nchs$state=="United States"
Unintentional.injuries1 <- aggregate(nchs$deaths[indiv1],list(nchs$year[indiv1]),mean)
Unintentional.injuries1

Description of issue -

System Information:

• RStudio Edition: (Desktop or Server)
• RStudio Version:
• OS Version:
• R Version:
• sessionInfo():

---

Referred here from support.rstudio.com

[williaml]

Can you provide a reproducible example?

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.…