"ccf versus acf"

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I am trying to run a cross-correlation using the "ccf()" function. When
I select plot = TRUE in the ccf() I get a graph which has ACF on the
y-axis, which would suggest that these y-values are the auto-correlation
values.
But cross-correlations are part of the ACF for a bivariate time series, so 
why do you think that is a problem?

Your example is not reproducible.  However, there is a reproducible 
example on the help page that looks like cross-correlations (look at the 
value at lag 0). And
ccf(mdeaths, fdeaths, ylab="ccf")
might be what you are looking for.
How should I adjust the code to produce a plot that provides the
cross-correlation values?

Here is my code:

w002dat <- read.csv("w054_1128958_08NM174.csv", header=TRUE)
w002dat$date <- as.Date(w002dat$date,"%m/%d/%Y")
attach(w002dat)
w002ccfhdgw <- ccf((gwneg), (hydro), lag.max = 400, type =
c("correlation"),
        plot = TRUE, na.action = na.exclude)

Thank you

Arelia

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