Re: [R] SPSS F-test on change in R square between hierarchical models

2011-11-24 Thread Yvonnick Noel

Christopher,

I am wondering if anyone knows how to perform an F-test on the change in R
square between hierarchical models in R? SPSS provides this information and
a researcher that I am working with is interested in getting this
information. Alternatively, if someone knows how I can calculate the test
statistic (SPSS calls it F-change?) and dfs that would be helpful as well.
What you describe is just the standard F test for comparing two models, 
or testing deviance reduction between tow *nested* models (I suspect 
this is what you mean by hierarchical). The anova() function will do 
that. The R2STATS GUI will also give you these tests, along with the 
R-squared, in the same table.


A common misconception about an F-test is that it is the test on a 
variable effect, when strictly speaking it is a test on the deviance 
reduction between two models that include or not that particular 
variable (and there may be several ways to do that, each leading to 
possibly different F-values).


Yvonnick Noel
University of Brittany
Department of Psychology
Rennes, France

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[R] SPSS F-test on change in R square between hierarchical models

2011-11-23 Thread Christopher Desjardins
Hi,

I am wondering if anyone knows how to perform an F-test on the change in R
square between hierarchical models in R? SPSS provides this information and
a researcher that I am working with is interested in getting this
information. Alternatively, if someone knows how I can calculate the test
statistic (SPSS calls it F-change?) and dfs that would be helpful as well.

The output and the test I am looking for is available here -
http://dl.dropbox.com/u/1501309/spss_rsquared.pdf

Chris

On Wed, Nov 23, 2011 at 6:20 AM, Smart Guy smartgu...@gmail.com wrote:

 Hi All,
   I was adding a new row of data to my data frame using rbind(). I
 was surprised to see that after adding new row, I lost my data frame level
 attibute as well as  col level attribute. Please help me to insert a new
 row at frist or middle position so that my custom attribute is not lost.

  Here is what I did.

 age-c(15,20,18)
 weight-c(40,42,30)

 ### creating my data frame 
 mydata - data.frame(age,weight)

 ### creating data frame level attribute 
 attr(mydata,myattr)-c(myinfo)

 ### creating col level attribute for 'age' column  ###
 attr(mydata$age,mycolattr)-c(mycolinfo)

  Checking attributes  ###
 attributes(mydata)
 attributes(mydata$age)

 ### creating new row  #
 newrow - data.frame(age=16, weight= 42)

  Inserting newrow as first row to my data frame 
 mydata- rbind(newrow, mydata)

  Checking attributes again ###  I lost my custom attributes
 attributes(mydata$age)
 attributes(mydata)


 Thanks in advance,


 --
 SG

[[alternative HTML version deleted]]

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 https://stat.ethz.ch/mailman/listinfo/r-help
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 http://www.R-project.org/posting-guide.html
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[[alternative HTML version deleted]]

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Re: [R] SPSS F-test on change in R square between hierarchical models

2011-11-23 Thread Bert Gunter
Probably

?anova
?add1
?drop1

are what you're looking for.

-- Bert


On Wed, Nov 23, 2011 at 6:07 AM, Christopher Desjardins
desja...@umn.edu wrote:
 Hi,

 I am wondering if anyone knows how to perform an F-test on the change in R
 square between hierarchical models in R? SPSS provides this information and
 a researcher that I am working with is interested in getting this
 information. Alternatively, if someone knows how I can calculate the test
 statistic (SPSS calls it F-change?) and dfs that would be helpful as well.

 The output and the test I am looking for is available here -
 http://dl.dropbox.com/u/1501309/spss_rsquared.pdf

 Chris

 On Wed, Nov 23, 2011 at 6:20 AM, Smart Guy smartgu...@gmail.com wrote:

 Hi All,
           I was adding a new row of data to my data frame using rbind(). I
 was surprised to see that after adding new row, I lost my data frame level
 attibute as well as  col level attribute. Please help me to insert a new
 row at frist or middle position so that my custom attribute is not lost.

  Here is what I did.

 age-c(15,20,18)
 weight-c(40,42,30)

 ### creating my data frame 
 mydata - data.frame(age,weight)

 ### creating data frame level attribute 
 attr(mydata,myattr)-c(myinfo)

 ### creating col level attribute for 'age' column  ###
 attr(mydata$age,mycolattr)-c(mycolinfo)

  Checking attributes  ###
 attributes(mydata)
 attributes(mydata$age)

 ### creating new row  #
 newrow - data.frame(age=16, weight= 42)

  Inserting newrow as first row to my data frame 
 mydata- rbind(newrow, mydata)

  Checking attributes again ###  I lost my custom attributes
 attributes(mydata$age)
 attributes(mydata)


 Thanks in advance,


 --
 SG

        [[alternative HTML version deleted]]

 __
 R-help@r-project.org mailing 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.


        [[alternative HTML version deleted]]

 __
 R-help@r-project.org mailing 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.




-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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and provide commented, minimal, self-contained, reproducible code.