[R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Clayton Coffman
I can prove I've done this before, but I recently installed Rexcel (and it
was easiest to reinstall R and some other bits to make it work) and now its
no longer working.

Before I would do an ANOVA and a tukey post-hoc like this:

data1.aov=aov(result~factor1*factor2, data=data1)

then...

TukeyHSD(summary(data1.aov))

and it would give me a nice tukey table of all the pairwise comparisons, now
though it gives me:

in UseMethod(TukeyHSD) : no applicable method for TukeyHSD

Has something changed?  Does TukeyHSD no longer accept aov results?

Is there a package I'm missing?  I am very frustrated.

Thanks,
Clayton

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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Ista Zahn
Hi Clayton,
I don't think you need summary().

TukeyHSD(data1.aov)

should work.

-Ista

On Tue, Oct 20, 2009 at 4:17 PM, Clayton Coffman
clayton.coff...@gmail.com wrote:
 I can prove I've done this before, but I recently installed Rexcel (and it
 was easiest to reinstall R and some other bits to make it work) and now its
 no longer working.

 Before I would do an ANOVA and a tukey post-hoc like this:

data1.aov=aov(result~factor1*factor2, data=data1)

 then...

TukeyHSD(summary(data1.aov))

 and it would give me a nice tukey table of all the pairwise comparisons, now
 though it gives me:

in UseMethod(TukeyHSD) : no applicable method for TukeyHSD

 Has something changed?  Does TukeyHSD no longer accept aov results?

 Is there a package I'm missing?  I am very frustrated.

 Thanks,
 Clayton

        [[alternative HTML version deleted]]

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-- 
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org

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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Clayton Coffman
I've tried that as well, and I get an error like:
 TukeyHSD(phenolic.aov)
Error in rep.int(n, length(means)) : unimplemented type 'NULL' in 'rep'
In addition: Warning messages:
1: In replications(paste(~, xx), data = mf) : non-factors ignored: time
2: In replications(paste(~, xx), data = mf) :
  non-factors ignored: sink.status, time
3: In replications(paste(~, xx), data = mf) :
  non-factors ignored: time, cat
4: In replications(paste(~, xx), data = mf) :
  non-factors ignored: sink.status, time, cat

however, I think its a problem with my data, something about how Rexcel
imported it, becuase when I do it on the example data in the HSAUR package,
it works

I'll try importing the data manually.



On Tue, Oct 20, 2009 at 3:33 PM, Ista Zahn istaz...@gmail.com wrote:

 Hi Clayton,
 I don't think you need summary().

 TukeyHSD(data1.aov)

 should work.

 -Ista

 On Tue, Oct 20, 2009 at 4:17 PM, Clayton Coffman
 clayton.coff...@gmail.comhttps://mail.google.com/mail?view=cmtf=0to=clayton.coff...@gmail.com
 wrote:
  I can prove I've done this before, but I recently installed Rexcel (and
 it
  was easiest to reinstall R and some other bits to make it work) and now
 its
  no longer working.
 
  Before I would do an ANOVA and a tukey post-hoc like this:
 
 data1.aov=aov(result~factor1*factor2, data=data1)
 
  then...
 
 TukeyHSD(summary(data1.aov))
 
  and it would give me a nice tukey table of all the pairwise comparisons,
 now
  though it gives me:
 
 in UseMethod(TukeyHSD) : no applicable method for TukeyHSD
 
  Has something changed?  Does TukeyHSD no longer accept aov results?
 
  Is there a package I'm missing?  I am very frustrated.
 
  Thanks,
  Clayton
 
 [[alternative HTML version deleted]]
 
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  R-help@r-project.orghttps://mail.google.com/mail?view=cmtf=0to=r-h...@r-project.orgmailing
   list
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  PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
 



 --
 Ista Zahn
 Graduate student
 University of Rochester
 Department of Clinical and Social Psychology
 http://yourpsyche.org


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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Clayton Coffman
Problem solved:

Lesson learned (I think):

TukeyHSD doesn't like it when you use numbers as names for the factors.  ie
factor time cannot be 24 and 48 but twenty-four and forty-eight
work fine.

On Tue, Oct 20, 2009 at 5:36 PM, Clayton Coffman
clayton.coff...@gmail.comwrote:

 I've tried that as well, and I get an error like:
  TukeyHSD(phenolic.aov)
 Error in rep.int(n, length(means)) : unimplemented type 'NULL' in 'rep'
 In addition: Warning messages:
 1: In replications(paste(~, xx), data = mf) : non-factors ignored: time
 2: In replications(paste(~, xx), data = mf) :
   non-factors ignored: sink.status, time
 3: In replications(paste(~, xx), data = mf) :
   non-factors ignored: time, cat
 4: In replications(paste(~, xx), data = mf) :
   non-factors ignored: sink.status, time, cat

 however, I think its a problem with my data, something about how Rexcel
 imported it, becuase when I do it on the example data in the HSAUR package,
 it works

 I'll try importing the data manually.




 On Tue, Oct 20, 2009 at 3:33 PM, Ista Zahn 
 istaz...@gmail.comhttps://mail.google.com/mail?view=cmtf=0to=istaz...@gmail.com
  wrote:

 Hi Clayton,
 I don't think you need summary().

 TukeyHSD(data1.aov)

 should work.

 -Ista

 On Tue, Oct 20, 2009 at 4:17 PM, Clayton Coffman
 clayton.coff...@gmail.comhttps://mail.google.com/mail?view=cmtf=0to=clayton.coff...@gmail.com
 wrote:
  I can prove I've done this before, but I recently installed Rexcel (and
 it
  was easiest to reinstall R and some other bits to make it work) and now
 its
  no longer working.
 
  Before I would do an ANOVA and a tukey post-hoc like this:
 
 data1.aov=aov(result~factor1*factor2, data=data1)
 
  then...
 
 TukeyHSD(summary(data1.aov))
 
  and it would give me a nice tukey table of all the pairwise comparisons,
 now
  though it gives me:
 
 in UseMethod(TukeyHSD) : no applicable method for TukeyHSD
 
  Has something changed?  Does TukeyHSD no longer accept aov results?
 
  Is there a package I'm missing?  I am very frustrated.
 
  Thanks,
  Clayton
 
 [[alternative HTML version deleted]]
 
  __
  R-help@r-project.orghttps://mail.google.com/mail?view=cmtf=0to=r-h...@r-project.orgmailing
   list
  https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
 



 --
 Ista Zahn
 Graduate student
 University of Rochester
 Department of Clinical and Social Psychology
 http://yourpsyche.org




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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Richard M. Heiberger

I think its a problem with my data, something about how Rexcel
imported it

We don't have enough information to be sure.  My guess is that your
data in Excel is integers which are intended to be levels of a factor.
Excel doesn't distinguish between integers and integers that might be
factor levels.  This is an Excel issue, not an RExcel issue.

When you sent your data to R outside of RExcel, what did you do to
force the levels to be interpreted as factors.  Something similar must
be done when you send the data to R from within RExcel.

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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Clayton Coffman
interesting to know, that might explain it.  When I imported I just saved as
CSV and imported with read.csv, I've never done anything to specify the
integers as factors (this is the first time I've used numbers as names).

Here are the precise commands I use(d):

 phen=read.csv(file=phenolics.csv)
 phen.aov=aov(phenolics~sink*time*cat, data=phen)
 summary(phen.aov)
   Df  Sum Sq Mean Sq F valuePr(F)
sink2 1817.79  908.89 59.5934  2.2e-16 ***
time1   19.07   19.07  1.2501  0.265039
cat 1  125.95  125.95  8.2581  0.004548 **
sink:time   2   12.026.01  0.3942  0.674834
sink:cat2  305.68  152.84 10.0213 7.493e-05 ***
time:cat1  106.53  106.53  6.9849  0.008949 **
sink:time:cat   24.222.11  0.1384  0.870867
Residuals 179 2730.03   15.25
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
1 observation deleted due to missingness

TukeyHSD(phen.aov)
  Tukey multiple comparisons of means
95% family-wise confidence level

Fit: aov(formula = phenolics ~ sink * time * cat, data = phen)

$sink
 diff   lwr  upr p adj
Cut-Bolted -0.3491591 -1.980764 1.282446 0.8686316
Veg-Bolted  6.3800257  4.741959 8.018092 0.000
Veg-Cut 6.7291848  5.091118 8.367252 0.000

$time
...etc.

I can see how the data format of the cell in Excel might confuse R if you
imported it as an .xls file, or used Rexcel, thats avoided by using .csv.

Whats interesting is that the aov function has no problem determining the
levels of the factor be they integers or text, TukeyHSD doesn't like it
though.  When I did the summary(aov) with the data formatted such that it
would not go into TukeyHSD it was imported with read.csv, but it had
numbers/integers as the factor levels.  TukeyHSD didn't work.  When I
reformatted those numbers to text (ie 24 to twenty-four), TukeyHSD
worked fine.

I assume it has something to do with how aov and TukeyHSD determine factor
levels, aov may see anything in the specified factor-vectors as characters,
whereas TukeyHSD will read integers as integers and get confused.




On Tue, Oct 20, 2009 at 5:50 PM, Richard M. Heiberger r...@temple.eduwrote:

 I think its a problem with my data, something about how Rexcel
 imported it

 We don't have enough information to be sure.  My guess is that your
 data in Excel is integers which are intended to be levels of a factor.
 Excel doesn't distinguish between integers and integers that might be
 factor levels.  This is an Excel issue, not an RExcel issue.

 When you sent your data to R outside of RExcel, what did you do to
 force the levels to be interpreted as factors.  Something similar must
 be done when you send the data to R from within RExcel.


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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Richard M. Heiberger

Now I am worried that you have a wrong analysis.
the aov function is perfectly happy using either factors or
numeric variables.  Are there really only two levels of time,
which is what one degree of freedom for time suggests?  Or are there
more than two level, but since aov() sees that as a numeric variable
it has only one df.

csv files can interfere with the interpretation of data values, but
not likely in this case.  They too will have numbers interpreted
as numeric.

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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Clayton Coffman
There are two factors of time, but they are evenly replicated across all the
other factors/levels.  The experiment is perfectly balanced except for one
lost sample, which is deleted automatically in the aov.  I am very certain
the analysis is correct.  I think its merely a discrepancy between how aov
and TukeyHSD group the levels of the factor variable. Probably aov handles
any vector specified as a character vector, whereas TukeyHSD merely assumes
its a character vector.

It might be something to refine in the stats package so the functions, which
are designed somewhat to be used together, can work on the same kinds of
data.

On Tue, Oct 20, 2009 at 6:13 PM, Richard M. Heiberger r...@temple.eduwrote:

 Now I am worried that you have a wrong analysis.
 the aov function is perfectly happy using either factors or
 numeric variables.  Are there really only two levels of time,
 which is what one degree of freedom for time suggests?  Or are there
 more than two level, but since aov() sees that as a numeric variable
 it has only one df.

 csv files can interfere with the interpretation of data values, but
 not likely in this case.  They too will have numbers interpreted
 as numeric.


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Re: [R] TukeyHSD no longer working with aov output?

2009-10-20 Thread Peter Ehlers

I think that Richard may be correct. In my experience it's always a
bad idea to use numerical labels for factors, especially when
importing data from Excel. But why not do a str() on your data to
see whether R thinks that time is a factor or not? And if not, why
not convert time to factor before passing it to aov()? I'm a bit
uneasy over your use of the phrase there are two factors of time;
that's not how most stats people would use the terminology and it
may indicate a misunderstanding. You probably mean that there are
two levels of the factor 'time'. Anyway, do str(your_data) and
see what it says.

 -Peter Ehlers

Clayton Coffman wrote:

There are two factors of time, but they are evenly replicated across all the
other factors/levels.  The experiment is perfectly balanced except for one
lost sample, which is deleted automatically in the aov.  I am very certain
the analysis is correct.  I think its merely a discrepancy between how aov
and TukeyHSD group the levels of the factor variable. Probably aov handles
any vector specified as a character vector, whereas TukeyHSD merely assumes
its a character vector.

It might be something to refine in the stats package so the functions, which
are designed somewhat to be used together, can work on the same kinds of
data.

On Tue, Oct 20, 2009 at 6:13 PM, Richard M. Heiberger r...@temple.eduwrote:


Now I am worried that you have a wrong analysis.
the aov function is perfectly happy using either factors or
numeric variables.  Are there really only two levels of time,
which is what one degree of freedom for time suggests?  Or are there
more than two level, but since aov() sees that as a numeric variable
it has only one df.

csv files can interfere with the interpretation of data values, but
not likely in this case.  They too will have numbers interpreted
as numeric.



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