[R] Save P values calculated with anova

2013-11-04 Thread Anders Tisell
Hi,

I have created a mixed linear model with one fixed factor and two
random factors then I would like to test if there is a significant
difference between the two groups.

To do this I calculate the model with the lmer function:

 MyModel - lmer(...)

and do a anova of the model to estimate if the F value is significant.

 MyAnova - anova(MyModel)

And I get a summary table of the anova with F values, Pr(F) when i
try to extract this values using the $ function:

 MyAnova$Pr(F)

I get the error message:

Error: unexpected symbol '' in MyAnova$Pr(

I also get this message if I try to extract F value, Mean Sq etc But
not for DF, Denom etc, so I guess it is the white space and 
characters that is the problem. What should I do to get the P values
so I can write them in to a file?

I am using R 3.0.2 GUI 1.62 Snow Lepard build (6558) on a Mac Mini OS X 10.9

Best regards
/Anders


Sent from Anders iPad

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Re: [R] Save P values calculated with anova

2013-11-04 Thread ONKELINX, Thierry
You'll need to add quotes

MyAnova$Pr(F)

Or use the bracket notation

MyAnova[, Pr(F)]



ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and 
Forest
team Biometrie  Kwaliteitszorg / team Biometrics  Quality Assurance
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asking him to perform a post-mortem examination: he may be able to say what the 
experiment died of.
~ Sir Ronald Aylmer Fisher

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~ Roger Brinner

The combination of some data and an aching desire for an answer does not ensure 
that a reasonable answer can be extracted from a given body of data.
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-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens 
Anders Tisell
Verzonden: maandag 4 november 2013 15:11
Aan: r-help@r-project.org
Onderwerp: [R] Save P values calculated with anova

Hi,

I have created a mixed linear model with one fixed factor and two random 
factors then I would like to test if there is a significant difference between 
the two groups.

To do this I calculate the model with the lmer function:

 MyModel - lmer(...)

and do a anova of the model to estimate if the F value is significant.

 MyAnova - anova(MyModel)

And I get a summary table of the anova with F values, Pr(F) when i try to 
extract this values using the $ function:

 MyAnova$Pr(F)

I get the error message:

Error: unexpected symbol '' in MyAnova$Pr(

I also get this message if I try to extract F value, Mean Sq etc But not for 
DF, Denom etc, so I guess it is the white space and  characters that is the 
problem. What should I do to get the P values so I can write them in to a file?

I am using R 3.0.2 GUI 1.62 Snow Lepard build (6558) on a Mac Mini OS X 10.9

Best regards
/Anders


Sent from Anders iPad

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Re: [R] Save P values calculated with anova

2013-11-04 Thread Adrian Dușa
That would be:
MyAnova$Pr(F)

and since that is an Anova table, you actually only need the first value:
MyAnova$Pr(F)[1]

Hope this helps,
Adrian


On Mon, Nov 4, 2013 at 4:10 PM, Anders Tisell anders.tis...@liu.se wrote:

 Hi,

 I have created a mixed linear model with one fixed factor and two
 random factors then I would like to test if there is a significant
 difference between the two groups.

 To do this I calculate the model with the lmer function:

  MyModel - lmer(...)

 and do a anova of the model to estimate if the F value is significant.

  MyAnova - anova(MyModel)

 And I get a summary table of the anova with F values, Pr(F) when i
 try to extract this values using the $ function:

  MyAnova$Pr(F)

 I get the error message:

 Error: unexpected symbol '' in MyAnova$Pr(

 I also get this message if I try to extract F value, Mean Sq etc But
 not for DF, Denom etc, so I guess it is the white space and 
 characters that is the problem. What should I do to get the P values
 so I can write them in to a file?

 I am using R 3.0.2 GUI 1.62 Snow Lepard build (6558) on a Mac Mini OS X 10.9

 Best regards
 /Anders


 Sent from Anders iPad

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 https://stat.ethz.ch/mailman/listinfo/r-help
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 and provide commented, minimal, self-contained, reproducible code.




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