I am fairly new to R, so my apologies if this question is a bit silly.
I am calling a function in an external package ('mmlcr', although I don't think that is directly relevant to my problem), and one of the required inputs (data) is a data.frame. I compose the data.frame from various data using the following approach (simplified for illustration):
#id, Time, and value are vectors created elsewhere in the code.
myData = data.frame(a=id, b=Time, c=value)
out <- mmlcr( input1, input2, data=myData, input4)
Which throws the error:
Error in is.data.frame(data) : object 'myData' not found
The debugger indicates that this error is thrown during the mmlcr() call.
I then added a print(ls()) immediately prior to the mmlcr() call, and the output confirmed that "myData" was in my function workspace; further is.data.frame(myData) returned TRUE. So it seems that "myData" is successfully being created, but for some reason it is not passing into the mmlcr() function properly. (Commenting this line causes no error to be thrown, so I'm pretty sure this is the problematic line).
However, when I put the exact same code in a script (i.e., not within a function block), no such error is thrown and the output is as expected. Thus, I assume there is some scoping issue that arises.
I have tried both assignment approaches:
myData = data.frame(a=id, b=Time, c=value)
myData <- data.frame(a=id, b=Time, c=value)
and both give me the same error. I admit that I don't fully understand the scope model in R (I've read about the differences between = and <- and I think I get it, but I'm not sure).
Any advice you can offer would be appreciated.