tapply bug? - levels of a factor in a data frame after tapply are intermixed

test$xx - the what I am currently seeing is:

On Fri, Feb 13, 2009 at 12:24 PM, Marc Schwartz
<marc_schwartz at comcast.net> wrote:

on 02/13/2009 11:09 AM Dimitri Liakhovitski wrote:

Hello! I have encountered a really weird problem. Maybe you've
encountered it before?
I have a large data frame "importances". It has one factor ($A) with 3
levels: 3, 9, and 15. $B is a regular numeric variable.
Below I am picking a really small sub-frame (just 3 rows) based on
"indices". "indices" were chosen so that all 3 levels of A are
present:

indices=c(14329,14209,14353)
test=data.frame(yy=importances[["B']][indices],xx=importances[["A"]][indices])
Here is what the new data frame "test" looks like:

            yy        xx
1 -0.009984006  9
2 -2.339904131  3
3 -0.008427385 15

Here is the structure of "test":

str(test)

'data.frame':   3 obs. of  2 variables:
 $ yy: num  -0.00998 -2.3399 -0.00843
 $ xx: Factor w/ 3 levels "3","9","15": 2 1 3

Notice - the order of factor levels for xx is not 1 2 3 as it should
be but 2 1 3. How come?

Or also look at this:

test$xx

[1] 9  3  15
Levels: 3 9 15

Same thing.
Do you know what might be the reason?

Thank you very much!

The output of str() is showing you the factor levels of test$xx,
followed by the internal integer codes for the three actual values of
test$xx, 9, 3, and 15:

str(test$xx)

 Factor w/ 3 levels "3","9","15": 2 1 3

levels(test$xx)

[1] "3"  "9"  "15"

as.integer(test$xx)

[1] 2 1 3

9 is the second level, hence the 2
3 is the first level, hence the 1
15 is the third level, hence the 3.

No problems, just clarification needed on what you are seeing.

Note that you do not reference anything above regarding tapply() as per
your subject line, though I suspect that I have an idea as to why you did...

HTH,

Marc Schwartz

Marc (and everyone), I expected it to show:
$ xx: Factor w/ 3 levels "3","9","15":  1 2 3
rather than what I am seeing:
$ xx: Factor w/ 3 levels "3","9","15":  2 1 3
Because 3 is level 1, 9 is level 2 and 15 is level 3.
I have several other factors in my original data frame. And I've done
that tapply for all of them (for the same dependent variable) - and in
all of them the first level was 1, the second 2, etc.
Why I am concerned about the problem? Because I am plotting the means
of the numeric variable against the levels of the factor and it's
important to me that the factor levels are correct (in the right
order)...
Dimitri


--
Dimitri Liakhovitski
MarketTools, Inc.
Dimitri.Liakhovitski at markettools.com