[R] sapply on data frames - $X vs.["X"]

[Gabor Grothendieck]

$ can be used with data frames but not arrays and apply is
not sending a data frame to your function.  For
example, try this:

apply(df.opt, 1, is.data.frame)

By the way, in addition the difference you mention there
are a bunch of # marks in your second statement.

On 1/19/06, Fernando Saldanha <fsaldan1 at gmail.com> wrote:
> I have a program where the following code works fine:
>
> df.opt$Delta <- apply(df.opt, 1, function(x)
> EuropeanOption(x["CallPutString"], x["UnderlyingPrice"],
> x["StrikePrice"], 0, interest.rate, x["FractionalExpiration"],
> x["Vol"])[[2]])
>
> However, the code below fails:
>
> #df.opt$Delta <- apply(df.opt, 1, function(x)
> EuropeanOption(x$CallPutString, #x["UnderlyingPrice"],
> x["StrikePrice"], 0, interest.rate, x["FractionalExpiration"],
> #x["Vol"])[[2]])
>
> Here df.opt is a data frame and European Option is a function in the
> package RQuantLib.
> The only difference between the two pieces of code is that a column of
> the data frame is accessed using "$" in the first case and brackets in
> the second case.
>
> Sorry if this is a trivial question, but could somebody tell me the
> reason for this behavior?
>
> FS
>
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