| title | Debugging | ||||
|---|---|---|---|---|---|
| subtitle | |||||
| author | Roger D. Peng, Associate Professor of Biostatistics | ||||
| job | Johns Hopkins Bloomberg School of Public Health | ||||
| logo | bloomberg_shield.png | ||||
| framework | io2012 | ||||
| highlighter | highlight.js | ||||
| hitheme | tomorrow | ||||
| url |
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| widgets |
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| mode | selfcontained |
Indications that something’s not right
message: A generic notification/diagnostic message produced by themessagefunction; execution of the function continueswarning: An indication that something is wrong but not necessarily fatal; execution of the function continues; generated by thewarningfunctionerror: An indication that a fatal problem has occurred; execution stops; produced by thestopfunctioncondition: A generic concept for indicating that something unexpected can occur; programmers can create their own conditions
Warning
log(-1)## Warning: NaNs produced
## [1] NaN
printmessage <- function(x) {
if(x > 0)
print("x is greater than zero")
else
print("x is less than or equal to zero")
invisible(x)
}printmessage <- function(x) {
if (x > 0)
print("x is greater than zero") else print("x is less than or equal to zero")
invisible(x)
}
printmessage(1)## [1] "x is greater than zero"
printmessage(NA)## Error: missing value where TRUE/FALSE needed
printmessage2 <- function(x) {
if(is.na(x))
print("x is a missing value!")
else if(x > 0)
print("x is greater than zero")
else
print("x is less than or equal to zero")
invisible(x)
}printmessage2 <- function(x) {
if (is.na(x))
print("x is a missing value!") else if (x > 0)
print("x is greater than zero") else print("x is less than or equal to zero")
invisible(x)
}
x <- log(-1)## Warning: NaNs produced
printmessage2(x)## [1] "x is a missing value!"
How do you know that something is wrong with your function?
- What was your input? How did you call the function?
- What were you expecting? Output, messages, other results?
- What did you get?
- How does what you get differ from what you were expecting?
- Were your expectations correct in the first place?
- Can you reproduce the problem (exactly)?
The primary tools for debugging functions in R are
traceback: prints out the function call stack after an error occurs; does nothing if there’s no errordebug: flags a function for “debug” mode which allows you to step through execution of a function one line at a timebrowser: suspends the execution of a function wherever it is called and puts the function in debug modetrace: allows you to insert debugging code into a function a specific placesrecover: allows you to modify the error behavior so that you can browse the function call stack
These are interactive tools specifically designed to allow you to pick through a function. There’s also the more blunt technique of inserting print/cat statements in the function.
> mean(x)
Error in mean(x) : object 'x' not found
> traceback()
1: mean(x)
> > lm(y ~ x)
Error in eval(expr, envir, enclos) : object ’y’ not found
> traceback()
7: eval(expr, envir, enclos)
6: eval(predvars, data, env)
5: model.frame.default(formula = y ~ x, drop.unused.levels = TRUE)
4: model.frame(formula = y ~ x, drop.unused.levels = TRUE)
3: eval(expr, envir, enclos)
2: eval(mf, parent.frame())
1: lm(y ~ x)> debug(lm)
> lm(y ~ x)
debugging in: lm(y ~ x)
debug: {
ret.x <- x
ret.y <- y
cl <- match.call()
...
if (!qr)
z$qr <- NULL
z
}
Browse[2]>Browse[2]> n
debug: ret.x <- x
Browse[2]> n
debug: ret.y <- y
Browse[2]> n
debug: cl <- match.call()
Browse[2]> n
debug: mf <- match.call(expand.dots = FALSE)
Browse[2]> n
debug: m <- match(c("formula", "data", "subset", "weights", "na.action",
"offset"), names(mf), 0L)> options(error = recover)
> read.csv("nosuchfile")
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") :
cannot open file ’nosuchfile’: No such file or directory
Enter a frame number, or 0 to exit
1: read.csv("nosuchfile")
2: read.table(file = file, header = header, sep = sep, quote = quote, dec =
3: file(file, "rt")
Selection:Summary
- There are three main indications of a problem/condition:
message,warning,error- only an
erroris fatal
- only an
- When analyzing a function with a problem, make sure you can reproduce the problem, clearly state your expectations and how the output differs from your expectation
- Interactive debugging tools
traceback,debug,browser,trace, andrecovercan be used to find problematic code in functions - Debugging tools are not a substitute for thinking!