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The multcomp functions work on "lm" objects as anticipated.
They do not work on "aov" objects.  Somehow the inheritance isn't
being acknowledged.  I can't spot where in the code the problem lies.
Somewhere the df argument for "aov" objects is not defined.
My workaround is to change the class of the "aov" object to "lm".

Rich




> search()
 [1] ".GlobalEnv"       "package:multcomp" "package:mvtnorm"  "package:methods" 
 [5] "package:stats"    "package:utils"    "package:graphics" "package:lattice" 
 [9] "package:grid"     "Autoloads"        "package:base"    
> ## from R/rw1091alpha/library/multcomp/R-ex/simint.R
> data(recovery)
> lmmod <- lm(minutes ~ blanket, data=recovery, contrasts=list(blanket =
+             "contr.Dunnett"))
> summary(simint(lmmod, psubset=2:4, conf.level=0.9,
+                alternative="less",eps=0.0001))

        Simultaneous 90% confidence intervals: model contrasts

         model contrasts for factor

Contrast matrix:
     [,1] [,2] [,3]
[1,]    1    0    0
[2,]    0    1    0
[3,]    0    0    1

Absolute Error Tolerance:  1e-04 

 90 % quantile:  1.8431 

Coefficients:
             Estimate   --    90 % t value Std.Err.  p raw p Bonf  p adj
blanketb1-b0  -2.1333 -Inf  0.8226 -1.3302   1.6038 0.0958 0.2874 0.2412
blanketb2-b0  -7.4667 -Inf -4.5108 -4.6556   1.6038 0.0000 0.0001 0.0001
blanketb3-b0  -1.6667 -Inf -0.0360 -1.8837   0.8848 0.0337 0.1012 0.0924
> ## change lm to aov
> aovmod <- aov(minutes ~ blanket, data=recovery, contrasts=list(blanket =
+             "contr.Dunnett"))
> aovmod
Call:
   aov(formula = minutes ~ blanket, data = recovery, contrasts = list(blanket = 
"contr.Dunnett"))

Terms:
                 blanket Residuals
Sum of Squares  151.9772  248.2667
Deg. of Freedom        3        37

Residual standard error: 2.590349 
Estimated effects may be unbalanced
> simint(aovmod)
Error in floor(df) : Non-numeric argument to mathematical function
> names(aovmod)
 [1] "coefficients"  "residuals"     "effects"       "rank"         
 [5] "fitted.values" "assign"        "qr"            "df.residual"  
 [9] "contrasts"     "xlevels"       "call"          "terms"        
[13] "model"        
> names(lmmod)
 [1] "coefficients"  "residuals"     "effects"       "rank"         
 [5] "fitted.values" "assign"        "qr"            "df.residual"  
 [9] "contrasts"     "xlevels"       "call"          "terms"        
[13] "model"        
> all.equal(lmmod, aovmod)
[1] "Attributes: < Component 1: Lengths (1, 2) differ (string compare on first 1) >"
[2] "Attributes: < Component 1: 1 string mismatches >"                              
[3] "Component 11: target, current don't match when deparsed"                       
> attributes(lmmod)
$names
 [1] "coefficients"  "residuals"     "effects"       "rank"         
 [5] "fitted.values" "assign"        "qr"            "df.residual"  
 [9] "contrasts"     "xlevels"       "call"          "terms"        
[13] "model"        

$class
[1] "lm"

> attributes(aovmod)
$names
 [1] "coefficients"  "residuals"     "effects"       "rank"         
 [5] "fitted.values" "assign"        "qr"            "df.residual"  
 [9] "contrasts"     "xlevels"       "call"          "terms"        
[13] "model"        

$class
[1] "aov" "lm" 

> lmmod$call
lm(formula = minutes ~ blanket, data = recovery, contrasts = list(blanket = 
"contr.Dunnett"))
> aovmod$call
aov(formula = minutes ~ blanket, data = recovery, contrasts = list(blanket = 
"contr.Dunnett"))
> ### play games
> class(aovmod) <- "lm"
> summary(simint(aovmod, psubset=2:4, conf.level=0.9,
+                alternative="less",eps=0.0001))

        Simultaneous 90% confidence intervals: model contrasts

         model contrasts for factor

Contrast matrix:
     [,1] [,2] [,3]
[1,]    1    0    0
[2,]    0    1    0
[3,]    0    0    1

Absolute Error Tolerance:  1e-04 

 90 % quantile:  1.8431 

Coefficients:
             Estimate   --    90 % t value Std.Err.  p raw p Bonf  p adj
blanketb1-b0  -2.1333 -Inf  0.8226 -1.3302   1.6038 0.0958 0.2874 0.2412
blanketb2-b0  -7.4667 -Inf -4.5107 -4.6556   1.6038 0.0000 0.0001 0.0001
blanketb3-b0  -1.6667 -Inf -0.0359 -1.8837   0.8848 0.0337 0.1012 0.0924
> bug.report("inheritance problem in multcomp package")



--please do not edit the information below--

Version:
 platform = i386-pc-mingw32
 arch = i386
 os = mingw32
 system = i386, mingw32
 status = alpha
 major = 1
 minor = 9.1
 year = 2004
 month = 05
 day = 25
 language = R

Windows XP Home Edition (build 2600) Service Pack 1.0

Search Path:
 .GlobalEnv, file:c:/HOME/rmh/hh/splus.library/.RData, 
file:c:/HOME/rmh/hh/splus.library/HH/.RData, package:multcomp, package:mvtnorm, 
package:methods, 
package:stats, package:utils, package:graphics, package:lattice, package:grid, 
Autoloads, 
package:base

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