For debug purposes, I want to print a line number (and function name) of the place the current function was called from. How do I get this in R?
I've seen a solution of getting the source file name
But how to get the line number and function name?]
EDIT: I found how to get this data from traceback() in some form, traceback is able to print it out, but I am not sure how to decode the information out of it:
f <- function () {
traceback(x = 3, max.lines = 1)
}
g <- function()
{
f()
}
x <- g()
source("file.R") # file with this code
# 5: g() at file.R#20
# 4: eval(ei, envir)
# 3: eval(ei, envir)
# 2: withVisible(eval(ei, envir))
# 1: source("file.R")
str(x[[1]])
# chr "g()"
# - attr(*, "srcref")= 'srcref' int [1:8] 20 1 20 8 1 8 20 20
# ..- attr(*, "srcfile")=Classes 'srcfilecopy', 'srcfile' <environment: 0x0000000013a31700>
Found a solution! Got it from the code of traceback():
f <- function ()
{
x <- .traceback(x = 1)
srcloc <- if (!is.null(srcref <- attr(x[[1]], "srcref"))) {
srcfile <- attr(srcref, "srcfile")
paste0("Called from ", x[[2]], ", at ", basename(srcfile$filename), "#", srcref[1])
}
cat(srcloc, "\n")
}
g <- function()
{
f()
}
g()
# Called from g(), at file.R#15
Wrote a nice wrapper function for it:
# returns a list, unless fmtstring is specified
# level: 1 - caller of the caller of this function; 2 - its parent, 3 - its grand-parent etc.
# fmtstring: return format string: %f (function), %s (source file), %l (line)
#
# example: str <- caller_info("Called from %f at %s#%l\n")
# !!! it won't work with e.g. cat(caller_info("Called from %f at %s#%l\n"))
# or cat(paste0(caller_info("Called from %f at %s#%l\n"))) !!!
caller_info <- function (fmtstring = NULL, level = 1) # https://stackoverflow.com/q/59537482/684229
{
x <- .traceback(x = level + 1)
i <- 1
repeat { # loop for subexpressions case; find the first one with source reference
srcref <- getSrcref(x[[i]])
if (is.null(srcref)) {
if (i < length(x)) {
i <- i + 1
next;
} else {
warning("caller_info(): not found\n")
return (NULL)
}
}
srcloc <- list(fun = getSrcref(x[[i+1]]), file = getSrcFilename(x[[i]]), line = getSrcLocation(x[[i]]))
break;
}
if (is.null(fmtstring))
return (srcloc)
fmtstring <- sub("%f", paste0(srcloc$fun, collapse = ""), fmtstring)
fmtstring <- sub("%s", srcloc$file, fmtstring)
fmtstring <- sub("%l", srcloc$line, fmtstring)
fmtstring
}
This is how it's used:
f <- function ()
{
str <- caller_info("Called from %f at %s#%l\n")
cat(str)
}
The only (minor) limitation is that when called in subexpressions like cat(caller_info("Called from %f at %s#%l\n")) or cat(paste0(caller_info("Called from %f at %s#%l\n"))), R confusingly counts these subexpression things as stack levels, which messes it up. So better avoid the use of this wrapper in expressions.
There aren't easy functions to give you what you're asking for, but for debugging purposes you can call browser() in a function, then run the where command to see the current call stack. For example, you might see something like this:
where 1: calls()
where 2 at ~/temp/test.R#6: print(calls())
where 3 at ~/temp/test.R#9: f()
where 4: eval(ei, envir)
where 5: eval(ei, envir)
where 6: withVisible(eval(ei, envir))
where 7: source("~/temp/test.R", echo = TRUE)
This gives locations for a couple of the calls, but not all of them.
If you really want something that prints as you go (like the __LINE__ and __FILE__ macros in C/C++), it's a little harder. This prints the current location:
cat("This is line ", getSrcLocation(function() {}, "line"),
" of ", getSrcFilename(function() {}))
Not all functions have names, and R functions don't know what name you called them under, but you can see the current call using sys.call(). So this prints everything:
cat("This is line ", getSrcLocation(function() {}, "line"),
" of ", getSrcFilename(function() {}),
" called as", deparse(sys.call()),
"\n")
which might print
This is line 3 of test.R called as f()
sys.call has an argument to move up the stack, but I don't know of a way to get the line number information.
You can get the location of the start of the function that made the current call using
cat("Called from ", getSrcFilename(sys.function(-1)), " line ", getSrcLocation(sys.function(-1), "line"),
" as ", deparse(sys.call()), "\n")
which will show you the code that made the call, but the line number is only for the function it came from. It's a good argument for keeping your functions short!
Related
I'm having trouble understanding how/why parentheses work where they otherwise should not work®.
f = function(...) substitute(...()); f(a, b)
[[1]]
a
[[2]]
b
# but, substitute returns ..1
f2 = function(...) substitute(...); f2(a, b)
a
Normally an error is thrown, could not find function "..." or '...' used in an incorrect context, for example when calling (\(...) ...())(5).
What I've tried
I have looked at the source code of substitute to find out why this doesn't happen here. R Internals 1.1.1 and 1.5.2 says ... is of SEXPTYPE DOTSXP, a pairlist of promises. These promises are what is extracted by substitute.
# \-substitute #R
# \-do_substitute #C
# \-substituteList #C recursive
# \-substitute #C
Going line-by-line, I am stuck at substituteList, in which h is the current element of ... being processed. This happens recursively at line 2832 if (TYPEOF(h) == DOTSXP) h = substituteList(h, R_NilValue);. I haven't found exception handling of a ...() case in the source code, so I suspect something before this has happened.
In ?substitute we find substitute works on a purely lexical basis. Does it mean ...() is a parser trick?
parse(text = "(\\(...) substitute(...()))(a, b)") |> getParseData() |> subset(text == "...", select = c(7, 9))
#> token text
#> 4 SYMBOL_FORMALS ...
#> 10 SYMBOL_FUNCTION_CALL ...
The second ellipsis is recognized during lexical analysis as the name of a function call. It doesn't have its own token like |> does. The output is a pairlist ( typeof(f(a, b)) ), which in this case is the same as a regular list (?). I guess it is not a parser trick. But whatever it is, it has been around for a while!
Question:
How does ...() work?
Note: When referring to documentation and source code, I provide links to an unofficial GitHub mirror of R's official Subversion repository. The links are bound to commit 97b6424 in the GitHub repo, which maps to revision 81461 in the Subversion repo (the latest at the time of this edit).
substitute is a "special" whose arguments are not evaluated (doc).
typeof(substitute)
[1] "special"
That means that the return value of substitute may not agree with parser logic, depending on how the unevaluated arguments are processed internally.
In general, substitute receives the call ...(<exprs>) as a LANGSXP of the form (pseudocode) pairlist(R_DotsSymbol, <exprs>) (doc). The context of the substitute call determines how the SYMSXP R_DotsSymbol is processed. Specifically, if substitute was called inside of a function with ... as a formal argument and rho as its execution environment, then the result of
findVarInFrame3(rho, R_DotsSymbol, TRUE)
in the body of C utility substituteList (source) is either a DOTSXP or R_MissingArg—the latter if and only if f was called without arguments (doc). In other contexts, the result is R_UnboundValue or (exceptionally) some other SEXP—the latter if and only if a value is bound to the name ... in rho. Each of these cases is handled specially by substituteList.
The multiplicity in the processing of R_DotsSymbol is the reason why these R statements give different results:
f0 <- function() substitute(...(n = 1)); f0()
## ...(n = 1)
f1 <- function(...) substitute(...(n = 1)); f1()
## $n
## [1] 1
g0 <- function() {... <- quote(x); substitute(...(n = 1))}; g0()
## Error in g0() : '...' used in an incorrect context
g1 <- function(...) {... <- quote(x); substitute(...(n = 1))}; g1()
## Error in g1() : '...' used in an incorrect context
h0 <- function() {... <- NULL; substitute(...(n = 1))}; h0()
## $n
## [1] 1
h1 <- function(...) {... <- NULL; substitute(...(n = 1))}; h1()
## $n
## [1] 1
Given how ...(n = 1) is parsed, you might have expected f1 to return call("...", n = 1), both g0 and g1 to return call("x", n = 1), and both h0 and h1 to throw an error, but that is not the case for the above, mostly undocumented reasons.
Internals
When called inside of the R function f,
f <- function(...) substitute(...(<exprs>))
substitute evaluates a call to the C utility do_substitute—you can learn this by looking here—in which argList gets a LISTSXP of the form pairlist(x, R_MissingArg), where x is a LANGSXP of the form pairlist(R_DotsSymbol, <exprs>) (source).
If you follow the body of do_substitute, then you will find that the value of t passed to substituteList from do_substitute is a LISTSXP of the form pairlist(copy_of_x) (source).
It follows that the while loop inside of the substituteList call (source) has exactly one iteration and that the statement CAR(el) == R_DotsSymbol in the body of the loop (source) is false in that iteration.
In the false branch of the conditional (source), h gets the value
pairlist(substituteList(copy_of_x, env)). The loop exits and substituteList returns h to do_substitute, which in turn returns CAR(h) to R (source 1, 2, 3).
Hence the return value of substitute is substituteList(copy_of_x, env), and it remains to deduce the identity of this SEXP. Inside of this call to substituteList, the while loop has 1+m iterations, where m is the number of <exprs>. In the first iteration, the statement CAR(el) == R_DotsSymbol in the body of the loop is true.
In the true branch of the conditional (source), h is either a DOTSXP or R_MissingArg, because f has ... as a formal argument (doc). Continuing, you will find that substituteList returns:
R_NilValue if h was R_MissingArg in the first while iteration and m = 0,
or, otherwise,
a LISTSXP listing the expressions in h (if h was a DOTSXP in the first while iteration) followed by <exprs> (if m > 1), all unevaluated and without substitutions, because the execution environment of f is empty at the time of the substitute call.
Indeed:
f <- function(...) substitute(...())
is.null(f())
## [1] TRUE
f <- function(...) substitute(...(n = 1))
identical(f(a = sin(x), b = zzz), pairlist(a = quote(sin(x)), b = quote(zzz), n = 1))
## [1] TRUE
Misc
FWIW, it helped me to recompile R after adding some print statements to coerce.c. For example, I added the following before UNPROTECT(3); in the body of do_substitute (source):
Rprintf("CAR(t) == R_DotsSymbol? %d\n",
CAR(t) == R_DotsSymbol);
if (TYPEOF(CAR(t)) == LISTSXP || TYPEOF(CAR(t)) == LANGSXP) {
Rprintf("TYPEOF(CAR(t)) = %s, length(CAR(t)) = %d\n",
type2char(TYPEOF(CAR(t))), length(CAR(t)));
Rprintf("CAR(CAR(t)) = R_DotsSymbol? %d\n",
CAR(CAR(t)) == R_DotsSymbol);
Rprintf("TYPEOF(CDR(CAR(t))) = %s, length(CDR(CAR(t))) = %d\n",
type2char(TYPEOF(CDR(CAR(t)))), length(CDR(CAR(t))));
}
if (TYPEOF(s) == LISTSXP || TYPEOF(s) == LANGSXP) {
Rprintf("TYPEOF(s) = %s, length(s) = %d\n",
type2char(TYPEOF(s)), length(s));
Rprintf("TYPEOF(CAR(s)) = %s, length(CAR(s)) = %d\n",
type2char(TYPEOF(CAR(s))), length(CAR(s)));
}
which helped me confirm what was going into and coming out of the substituteList call on the previous line:
f <- function(...) substitute(...(n = 1))
invisible(f(hello, world, hello(world)))
CAR(t) == R_DotsSymbol? 0
TYPEOF(CAR(t)) = language, length(CAR(t)) = 2
CAR(CAR(t)) = R_DotsSymbol? 1
TYPEOF(CDR(CAR(t))) = pairlist, length(CDR(CAR(t))) = 1
TYPEOF(s) = pairlist, length(s) = 1
TYPEOF(CAR(s)) = pairlist, length(CAR(s)) = 4
invisible(substitute(...()))
CAR(t) == R_DotsSymbol? 0
TYPEOF(CAR(t)) = language, length(CAR(t)) = 1
CAR(CAR(t)) = R_DotsSymbol? 1
TYPEOF(CDR(CAR(t))) = NULL, length(CDR(CAR(t))) = 0
TYPEOF(s) = pairlist, length(s) = 1
TYPEOF(CAR(s)) = language, length(CAR(s)) = 1
Obviously, compiling R with debugging symbols and running R under a debugger helps, too.
Another puzzle
Just noticed this oddity:
g <- function(...) substitute(...(n = 1), new.env())
gab <- g(a = sin(x), b = zzz)
typeof(gab)
## [1] "language"
gab
## ...(n = 1)
Someone here can do another deep dive to find out why the result is a LANGSXP rather than a LISTSXP when you supply env different from environment() (including env = NULL).
I'm working on an R package where the same input-checking functions are called by multiple "actual" functions that are exported to users. If I use a simple stop() call, the error message is going to say that an error occurred in the input-checking function, which is not that useful...
I thought I'd get around this by wrapping the call to the input-checking function inside a tryCatch(), and then handling the error in the outer function. This does mostly what I want, but doesn't quite give the output that I'd like. The closest I've come is the following:
f <- function(i) {
tryCatch({
check_input(i)
}, error = function(e) stop("in f: ", e$message, call. = FALSE)
)
}
check_input <- function(i) {
if(i < 0)
stop("i is negative, value given was ", i)
}
f(-1)
# Error: in f: i is negative, value given was -1
Ideally, I'd like the error message to be
Error in f: i is negative, value given was -1
, which would be the case if stop were called within f() instead of check_input().
Here's how you can grab the name of the function from the call stack and paste it in to the error message
f <- function(i) {
check_input(i)
}
g <- function(i) {
check_input(i)
}
check_input <- function(i, from=deparse(sys.calls()[[sys.nframe()-1]][[1]])) {
getmsg <- function(m) ifelse(!is.null(from), paste0("in ", from, ": ", m), m)
if(i < 0)
stop(getmsg(paste0("i is negative, value given was ", i)), call. = FALSE)
}
f(-1)
# Error: in f: i is negative, value given was -1
g(-1)
# Error: in g: i is negative, value given was -1
You could also call check_input(i, from="otherfunction") to show whatever function name you want or check_input(i, from=NULL) to suppress the function name.
Begin a new R session with an empty environment. Write a series of functions with a parameter that is to be used as the value of the times parameter in a call to rep().
f <- function(n) {
rep("hello", times = n)
}
f(x)
One expect this to fail, and indeed one gets:
# Error in f(x) : object 'x' not found
Modify the function a bit:
f2 <- function(n) {
ls.str()
rep("hello", times = n)
}
f2(x)
As expected, it still fails:
# Error in f2(x) : object 'x' not found
Modify a bit more (to see the environment in the console):
f3 <- function(n) {
print(ls.str())
rep("hello", times = n)
}
f3(x)
I still expect failure, but instead get:
## n : <missing>
## [1] "hello"
It is as if the call to print() makes rep work as though times were set to 1.
This is not an answer, but too long to post as a comment. A minimal reproducible example is:
f3 <- function(n) {
try(get("n", environment(), inherits=FALSE))
rep("hello", times = n)
}
f3(x)
## Error in get("n", environment(), inherits = FALSE) : object 'x' not found
## [1] "hello"
The following is speculative and based on loosely examining the source for do_rep. get starts the promise evaluation, but upon not finding the "missing" symbol appears to leave the promise partially unevaluated. rep, being a primitive, then attempts to operate on n without realizing that it is a partially evaluated promise and basically that leads implicitly to the assumption that 'n == 1'.
Also, this shows that the promise is in a weird state (have to use browser/debug to see it):
f3a <- function(n) {
try(get("n", environment(), inherits=FALSE))
browser()
rep("hello", times = n)
}
f3a(x)
## Error in get("n", environment(), inherits = FALSE) : object 'x' not found
## Called from: f3a(x)
# Browse[1]> (n)
## Error: object 'x' not found
## In addition: Warning message:
## restarting interrupted promise evaluation
## Browse[1]> c
## [1] "hello"
I received earlier today a report that the bug has been fixed in R-devel and R-patched.
The issue was that the test for missingness in the R sources did not consider the case of an interrupted promise evaluation. A fix has been committed by Luke Tierney and can be seen on GitHub.
f4 <- function(n) {
print('test')
print(ls.str())
print('end test')
rep("hello", times = n)
}
f4(x)
## [1] "test"
## n : <missing>
## [1] "end test"
## [1] "hello"
There's something within print.ls_str, from Frank's test on chat the follwing code exhibit the same problem:
f6 <- function(n) {
z = tryCatch(get("n", new.env(), mode = "any"), error = function(e) e)
rep("A", n)
}
Digging a little inside R source I found the following code
# define GET_VALUE(rval) \
/* We need to evaluate if it is a promise */ \
if (TYPEOF(rval) == PROMSXP) { \
PROTECT(rval); \
rval = eval(rval, genv); \
UNPROTECT(1); \
} \
\
if (!ISNULL(rval) && NAMED(rval) == 0) \
SET_NAMED(rval, 1)
GET_VALUE(rval);
break;
case 2: // get0(.)
if (rval == R_UnboundValue)
return CAD4R(args);// i.e. value_if_not_exists
GET_VALUE(rval);
break;
}
return rval;
}
#undef GET_VALUE
I'm quite surprised this compile properly, as far as I remember (my C is quite far behind) #define doesn't allow spaces between the # and define.
After digging for that, I'm wrong, from gcc doc:
Whitespace is also allowed before and after the `#'.
So there's probably something around this part of code, but that's above my head to pinpoint what exactly.
Displaying error locations with options(show.error.locations = TRUE) doesn't seem to work when handling exceptions with tryCatch. I am trying to display location of the error but I don't know how:
options(show.error.locations = TRUE)
tryCatch({
some_function(...)
}, error = function (e, f, g) {
e <<- e
cat("ERROR: ", e$message, "\nin ")
print(e$call)
})
If I then look at the variable e, the location doesn't seem to be there:
> str(e)
List of 2
$ message: chr "missing value where TRUE/FALSE needed"
$ call : language if (index_smooth == "INDEX") { rescale <- 100/meanMSI[plotbaseyear] ...
- attr(*, "class")= chr [1:3] "simpleError" "error" "condition"
If I don't trap the error, it is printed on the console along with source file and line number. How to do it with tryCatch?
Context
As noted by Willem van Doesburg, it is not possible to use the traceback() function to display where the error occured with tryCatch(), and to my knowledge there is currently no practical way to store the position of the error with base functions in R while using tryCatch .
The idea of a separate error handler
The possible solution I found consists of two parts, the main one is writing an error handler similar to that of Chrispy from "printing stack trace and continuing after error occurs in R" which produces a log with the position of the error.
The second part is capturing this output into a variable, similarly to what was suggested by Ben Bolker in "is it possible to redirect console output to a variable".
The call stack in R seems to be purged when an error is raised and then handled (I might be wrong so any information is welcomed), hence we need to capture the error while it is occuring.
Script with an error
I used an example from one of your previous questions regarding where and R error occured with the following function stored in a file called "TestError.R" which I call in my example bellow:
# TestError.R
f2 <- function(x)
{
if (is.null(x)) "x is Null"
if (x==1) "foo"
}
f <- function(x)
{
f2(x)
}
# The following line will raise an error if executed
f(NULL)
Error tracing function
This is the function I adapted form Chrispy's code as I mentionned above.
Upon execution, if an error is raised, the code underneath will print where the error occured, in the case of the above function, it will print :
"Error occuring: Test.R#9: f2(x)" and "Error occuring: Test.R#14: f(NULL)" meaning the error result from a trouble with the f(NULL) function at line 14 which references the f2() function at line 9
# Error tracing function
withErrorTracing = function(expr, silentSuccess=FALSE) {
hasFailed = FALSE
messages = list()
warnings = list()
errorTracer = function(obj) {
# Storing the call stack
calls = sys.calls()
calls = calls[1:length(calls)-1]
# Keeping the calls only
trace = limitedLabels(c(calls, attr(obj, "calls")))
# Printing the 2nd and 3rd traces that contain the line where the error occured
# This is the part you might want to edit to suit your needs
print(paste0("Error occuring: ", trace[length(trace):1][2:3]))
# Muffle any redundant output of the same message
optionalRestart = function(r) { res = findRestart(r); if (!is.null(res)) invokeRestart(res) }
optionalRestart("muffleMessage")
optionalRestart("muffleWarning")
}
vexpr = withCallingHandlers(withVisible(expr), error=errorTracer)
if (silentSuccess && !hasFailed) {
cat(paste(warnings, collapse=""))
}
if (vexpr$visible) vexpr$value else invisible(vexpr$value)
}
Storing the error position and the message
We call the script TestError.R above and capture the printed output in a variable, here called errorStorage with which we can deal later on or simply display.
errorStorage <- capture.output(tryCatch({
withErrorTracing({source("TestError.R")})
}, error = function(e){
e <<- e
cat("ERROR: ", e$message, "\nin ")
print(e$call)
}))
Hence we keep the value of e with the call and message as well as the position of the error location.
The errorStorage output should be as follow:
[1] "[1] \"Error occuring: Test.R#9: f2(x)\" \"Error occuring: Test.R#14: f(NULL)\""
[2] "ERROR: argument is of length zero "
[3] "in if (x == 1) \"foo\""
Hoping this might help.
You can use traceback() in the error handler to show the call stack. Errors in a tryCatch don't produce line numbers. See also the help on traceback. If you use your tryCatch statements defensively, this will help you narrow down the location of the error.
Here is a working example:
## Example of Showing line-number in Try Catch
# set this variable to "error", "warning" or empty ('') to see the different scenarios
case <- "error"
result <- "init value"
tryCatch({
if( case == "error") {
stop( simpleError("Whoops: error") )
}
if( case == "warning") {
stop( simpleWarning("Whoops: warning") )
}
result <- "My result"
},
warning = function (e) {
print(sprintf("caught Warning: %s", e))
traceback(1, max.lines = 1)
},
error = function(e) {
print(sprintf("caught Error: %s", e))
traceback(1, max.lines = 1)
},
finally = {
print(sprintf("And the result is: %s", result))
})
I have encountered a bit of a hiccup in something I'm working on. Suppose I have the following simple example. Let...
v <- c(606:608) ## Some vector of integers
I also, have a separate script written (let's just call it foo.R) which has something like (uses the RODBC package):
um <- sqlQuery(artemis,paste("select * from port.tdtf_VaR_Unmatched (",LatestModelRun,")",sep=""))
Now suppose I want to run the following loop function:
test <- function() {
for (i in 1:length(v)) {
LatestModelRun <- v[i]
source("C:/R/foo.r")
print(unmatched)} }
test() ## Run it
When I do this, I get the following error:
Error in paste("\n\tselect * from port.tdtf_VaR_Unmatched (", LatestModelRun, :
object 'LatestModelRun' not found
So, somehow it's not reading in the LatestModelRun variable defined within the test function.
Here's the traceback():
7: paste("\n\tselect * from port.tdtf_VaR_Unmatched (", LatestModelRun,
")\n\twhere [PortfolioProduct] not in ('REC - Generic','REC - Green-e NY')\n\torder by [PortfolioProduct], [Year]",
sep = "")
6: odbcQuery(channel, query, rows_at_time)
5: sqlQuery(artemis, paste("\n\tselect * from port.tdtf_VaR_Unmatched (",
LatestModelRun, ")\n\twhere [PortfolioProduct] not in ('REC - Generic','REC - Green-e NY')\n\torder by [PortfolioProduct], [Year]",
sep = ""))
4: eval.with.vis(expr, envir, enclos)
3: eval.with.vis(ei, envir)
2: source("C:/R/foo.r")
1: test()
Anybody have an idea as to what I'm doing wrong??
Any help is much appreciated!! Thanks!!
As I said in my comment, the source'd code is evaluated in the global environment by default. Set local=TRUE to evaluate the code in the calling environment.
test <- function() {
for (i in 1:length(v)) {
LatestModelRun <- v[i]
source("C:/R/foo.r", local=TRUE)
print(unmatched)
}
}
v <- c(606:608)
test()
# [1] "select * from port.tdtf_VaR_Unmatched (606)"
# [1] "select * from port.tdtf_VaR_Unmatched (607)"
# [1] "select * from port.tdtf_VaR_Unmatched (608)"
where foo.r contains:
unmatched <-
paste("select * from port.tdtf_VaR_Unmatched (",LatestModelRun,")",sep="")
Joshua's answer is sweet & simple. I have a variant that allows you to be more explicit in how you pass parameters to the script:
test <- function() {
for (i in 1:length(v)) {
e <- new.env()
e$LatestModelRun <- v[i]
sys.source('c:/R/foo.R', e)
print(e$unmatched)
}
}
This uses the cousin to source; sys.source that allows you specify the environment.
The environment can actually also be a list, so if you don't need any result variables from the script,
you can simply passing in a list with the parameters you need:
sys.source('c:/R/bar.R', list(someparam=42, anotherparam=1:10))
Variables set in a function are not global, unless set by <<-, so wouldn't this work?
test <- function() {
for (i in 1:length(v)) {
LatestModelRun <<- v[i]
source("C:/R/foo.r")
print(unmatched)
}
}