That simple code works for me as well, but for some reason my actual code
still isn't working. Here is exactly what I'm doing:
- The code for importing my data is:
/Bridges = read.csv(file = "C:/R/Bridges.RData.csv", head=TRUE, sep=",")/
- Within my group of highway bridges, I have defined a subgroup of bridges
that are Interstates, and are made of concrete. The code for this is:
/Interstates_Concrete = Bridges [Bridges$ROUTE_PREFIX_005B == 1 &
Bridges$STRUCTURE_KIND_043A == 1 |
Bridges$STRUCTURE_KIND_043A == 2,]/
where "ROUTE_PREFIX_005B" signifies an interstate bridge if it is equal to
1, and "STRUCTURE_KIND_043A" signifies a concrete bridge if it is equal to 1
or 2
- Then, my code for converting the dependent variable to log form is:
/Bridges$LOG_DECK_COND = log(Bridges$DECK_COND_058, base = exp(1))/
where "DECK_COND_058" is the condition of the bridge deck, with values
ranging from 3 to 9
Both of these code snippets run without error. However, when I try to run
the code for the actual model:
/exp.int.con= lm(LOG_DECK_COND ~ CUM_ADTT_2011 + CUM_WSL_2011, data =
Interstates_Concrete)/
where CUM_ADTT_2011 and CUM_WSL_2011 are existing variables in the
dataframe, I get the following:
/Error in eval(expr, envir, enclos) : object 'LOG_DECK_COND' not found/
Since:
/lm.int.con= lm(DECK_COND_058 ~ CUM_ADTT_2011 + CUM_WSL_2011, data =
Interstates_Concrete)/
runs without any issues, I have to conclude that there is definitely a
problem with the log conversion; I just don't know what it is. I have tried
running this on multiple machines and in multiple workspaces, and the
problem remains.
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