Dear all,
I am having a data stucture that contains Products and Time Stamps,
I have made also two lists
ProductList=list(c('Example1','Example2'...)
TimeStamp=list(c("1990-02-03 12:57:60"),c("1990-02-03 12:57:60"),
then I have made few functions that call each other
do_analysis_for_all the data<-function(arguments){
.....
return(lapply(ProductList,do_analysis_for_one_product_list_for_all_time_stamps)
}
do_analysis_for_one_product_list_for_all_time_stamps<-function(arguments){
....
return(lapply(TimeStamps,do_analysis_for_one_product_list_for_one_time_stamps)
}
(this is mostly just an algorithm to show you the main logic).
as one is getting down to the chain I have described, there are functions that
chop the data as requested. For example for a specific TimeFram one will get
the entries that correspond to the specific dates.
The problem I have though is that sometimes (is not too often) there are no
entries for a specific interval and thus the next function will rely on the
"chopped" data will explode with an error.
I want to ask you for a clear solution to handle this cases
I have two ideas in mind
a). I change all the function in my code so to check that the input argument is
empty (how to do that?) and in that case I return an empty list
b) I change nothing to the code and I ask kindly from the R in that case to
return a lovely error message (Best is to find it saved in the list that lapply
returns) and continue to the next case. I have tried earlier to add the
try(myfunction,silent=TRUE) but I ended up changing all my code with the
try(..) which of course is a bit of "dirty" solution. Do you know if I can ask
"globally" R (perhaps add some directive in the beginning of my file) to handle
all these errors in a silent manner so to skip them.
What should I try to a or b and why?
I would like to thank you in advance for your time spent to read this email
B.R
Alex
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