tryCatch has a slightly complex syntax structure. However, once we understand the 4 parts which constitute a complete tryCatch call as shown below, it becomes easy to remember:
expr: [Required] R code(s) to be evaluated
error : [Optional] What should run if an error occured while evaluating the codes in expr
warning : [Optional] What should run if a warning occured while evaluating the codes in expr
finally : [Optional] What should run just before quitting the tryCatch call, irrespective of if expr ran successfully, with an error, or with a warning
tryCatch(
expr = {
# Your code...
# goes here...
# ...
},
error = function(e){
# (Optional)
# Do this if an error is caught...
},
warning = function(w){
# (Optional)
# Do this if a warning is caught...
},
finally = {
# (Optional)
# Do this at the end before quitting the tryCatch structure...
}
)
Thus, a toy example, to calculate the log of a value might look like:
log_calculator <- function(x){
tryCatch(
expr = {
message(log(x))
message("Successfully executed the log(x) call.")
},
error = function(e){
message('Caught an error!')
print(e)
},
warning = function(w){
message('Caught an warning!')
print(w)
},
finally = {
message('All done, quitting.')
}
)
}
Now, running three cases:
A valid case
log_calculator(10)
# 2.30258509299405
# Successfully executed the log(x) call.
# All done, quitting.
A "warning" case
log_calculator(-10)
# Caught an warning!
# <simpleWarning in log(x): NaNs produced>
# All done, quitting.
An "error" case
log_calculator("log_me")
# Caught an error!
# <simpleError in log(x): non-numeric argument to mathematical function>
# All done, quitting.
I've written about some useful use-cases which I use regularly. Find more details here: Using tryCatch for robust R scripts
Hope this is helpful.
paste0for that! – Appreciation