Hi
 
I am working with this data:
 
 
my data summary is:
 
 
> summary(spi)
      open           high           low           close          volume

 Min.   :4315   Min.   :4365   Min.   :4301   Min.   :4352   Min.   :
0  
 1st Qu.:4480   1st Qu.:4497   1st Qu.:4458   1st Qu.:4475   1st
Qu.:11135  
 Median :4609   Median :4631   Median :4594   Median :4614   Median
:14439  
 Mean   :4620   Mean   :4640   Mean   :4599   Mean   :4620   Mean
:16590  
 3rd Qu.:4773   3rd Qu.:4796   3rd Qu.:4753   3rd Qu.:4766   3rd
Qu.:18294  
 Max.   :4944   Max.   :4954   Max.   :4912   Max.   :4937   Max.
:73559  
  openInterest      direction           volatility    volumeXdirection  
 Min.   :     0   Min.   :-62.00000   Min.   : 0.00   Min.   :-2795242  
 1st Qu.:184685   1st Qu.:-19.25000   1st Qu.:30.00   1st Qu.: -248740  
 Median :193233   Median : -1.50000   Median :38.50   Median :  -15905  
 Mean   :188825   Mean   :  0.01563   Mean   :41.58   Mean   :    6275  
 3rd Qu.:199800   3rd Qu.: 17.00000   3rd Qu.:50.00   3rd Qu.:  206325  
 Max.   :236759   Max.   : 74.00000   Max.   :94.00   Max.   : 2024470  
 volatilityXdirection     upDown          nextDay      
 Min.   :      0      Min.   :0.0000   Min.   :0.0000  
 1st Qu.: 362816      1st Qu.:0.0000   1st Qu.:0.0000  
 Median : 540187      Median :0.0000   Median :0.0000  
 Mean   : 731595      Mean   :0.4844   Mean   :0.4844  
 3rd Qu.: 996650      3rd Qu.:1.0000   3rd Qu.:1.0000  
 Max.   :3604391      Max.   :1.0000   Max.   :1.0000  
>
 
and trying to do a glm like this:
 
 
> logistic.model = glm(formula = as.factor(nextDay) ~ .,
family=binomial, data=spi[1:50,])
> summary(logistic.model)
 
Call:
glm(formula = as.factor(nextDay) ~ ., family = binomial, data =
spi[1:50, 
    ])
 
Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.9994  -0.8575  -0.0330   0.7961   1.8376  
 
Coefficients: (2 not defined because of singularities)
                       Estimate Std. Error z value Pr(>|z|)  
(Intercept)          -3.016e+01  2.934e+01  -1.028   0.3040  
open                 -2.514e-02  8.939e-02  -0.281   0.7785  
high                  7.598e-02  1.295e-01   0.587   0.5575  
low                  -1.065e-01  1.176e-01  -0.905   0.3656  
close                 5.943e-02  7.995e-02   0.743   0.4573  
volume                1.960e-04  1.977e-04   0.991   0.3215  
openInterest          5.728e-05  5.266e-05   1.088   0.2767  
direction                    NA         NA      NA       NA  
volatility                   NA         NA      NA       NA  
volumeXdirection      3.605e-06  3.765e-06   0.958   0.3383  
volatilityXdirection -5.815e-06  5.708e-06  -1.019   0.3082  
upDown               -2.561e+00  1.259e+00  -2.034   0.0419 *
---
Signif. codes:  0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 
 
(Dispersion parameter for binomial family taken to be 1)
 
    Null deviance: 69.235  on 49  degrees of freedom
Residual deviance: 55.000  on 40  degrees of freedom
AIC: 75
 
Number of Fisher Scoring iterations: 7
 
>
 
I am getting NA for direction and volatility.  I got it both before and
after casting them as.numeric.
 
Can anyone tell me what I am doing wrong?
 
Thanks
 
Stephen

-- 



20/02/2006
 

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