In this case, we use the options function to restore the warnings. Note, that there are no warnings in this example. This example includes the options function using the minus one value to suppress the warning message on this version of the pmax function. Note that this version has an extra parameter that does not actually get used. This example uses a variation on the pmax function in a manner that produces a warning message. In pmax(1:4, 1:7) : an argument will be fractionally recycled It is not always this easy to avoid producing warnings. This first example illustrates using the pmax function in a manner that produces the same results but it does not produce warnings. Being able to suppress these warnings when they just get in the way is an important part of user-friendly programing. Warnings do not stop the program from running, they just let you know that there is a problem that you should address. Suppressing warnings can be an essential part of preventing problems when your program is being run by a user rather than yourself.
Ideally, you are going to want something that is not platform-specific, so that your program can be moved to other platforms without having any problems. Regardless of the platform that you are using you want to be able to avoid having unwanted messages coming up because users will become uncomfortable with your program if they see lots of warning messages. Even if you are writing a program for yourself you may want to deal with them just because they can become annoying. There are many factors that can cause output warnings, but you want to deal with them when programming for others.
#RMARKDOWN SUPPRESS OUTPUT CODE#
Ultimately for a user, your program needs to run right, and these types of code help make it possible. This is a standing programming procedure for making a program user-friendly so you want to use it whether you are using r markup or our studio. Suppressing these messages prevents them from showing up when the user is using your program in either format. This would give your program cross-platform usability. While the above code chunk will suppress messages in r markdown, the options function works in R Studio as well. In both cases, the warnings will be suppressed on output for your r markdown document. You can also use the options function which has the format of options(warn = x) where x is minus one turns off warnings and x is minus zero turns them back on.
This will turn off the warnings coming from your r markdown file. Knitr::opts_chunk$set(warning = FALSE, message = FALSE)
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