Insist() on the text and numbers agree in Rmarkdown

The manuscript I submitted a long time ago contains multiple sentences
where I describe the result with both text and numbers. For example:

With a three-year moving average, the correlation is weak (r = 0.21) and not statistically significant (p = 0.28).

This is produced from the Rmarkdown

With a three-year moving average, the correlation is weak (r = `r smo_cor$estimate`) and not statistically significant (p = `r smo_cor$p.value`).

If I update the code that generates smo_cor, or the data changes, the
numbers will automatically update potentially creating a conflict with
the text which needs updating manually. I need a solution to identify
when this has happened.

I want a function that I can give an object and a logical test that will
either return the object if the test is true, or throws an error if it
is not. I’ve used the assertr package before, which does what I want,
but only for data.frames. I’ve looked in assertthat but cannot find
what I want, so I’ve written my own short function.

insist = function(., test){ 
  if(!eval(substitute(test), envir = parent.frame())){    
     stop(deparse(substitute(test)), " is not TRUE: \n. = ", .) 
  }
  return(.) 
} 

Quick test

pi %>% insist(. > 4)#FALSE - throws error

## Error in insist(., . > 4): . > 4 is not TRUE:
## . = 3.14159265358979

pi %>% insist(. < 3.5)# TRUE - returns pi 
## [1] 3.141593 

My Rmarkdown now looks like

With a three-year moving average, the correlation is weak (r = `r smo_cor$estimate %>% insist(. % insist(. > 0.05)`).

Now if either of the statements is false, I should get an informative
error.