Update rstanarm.Rmd

vignettes/rstanarm.Rmd

@@ -342,8 +342,11 @@ of 1000 iterations that is discarded). All chains must converge to the target
 distribution for inferences to be valid. For most models, the default settings 
 are sufficient, but if you see a warning message about Markov chains not 
 converging, the first thing to try is increasing the number of iterations. This 
-can be done by specifying the `iter` argument (e.g. `iter = 3000`). However, if all parameters have proper priors (no priors were set to `NULL`), and you used the default values
-for iterations (2000) and chains (4), and Rhats (explained below) are greater than 2, then increasing the number of iterations alone is unlikely to solve to the problem.
+can be done by specifying the `iter` argument. However, if all parameters have
+proper priors (no priors were set to `NULL`), and you used the default values
+for iterations (2000) and chains (4), and Rhats (explained below) are greater
+than 2, then increasing the number of iterations alone is unlikely to solve to
+the problem.
 
 One way to monitor whether a chain has converged to the equilibrium distribution
 is to compare its behavior to other randomly initialized chains. This is the