Displaying 11 results from an estimated 11 matches for "pc13".
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pc1
2003 Oct 27
0
home dirs
.../lib/security/pam_mkhomedir.so
session required /lib/security/pam_limits.so
session required /lib/security/pam_unix.so
the problem is, that if i try to login as domain-user the login is blocked.
in /var/log/messages the following message apears:
<snip>
Oct 27 14:25:33 pc13-linux pam_winbind[2204]: user 'TCK+martin'
granted acces
Oct 27 14:25:33 pc13-linux pam_winbind[2204]: user 'TCK+martin'
granted acces
Oct 27 14:25:34 pc13-linux PAM-mkhomedir[2204]: unable to create
directory /etc/skel/ ----> very strange pam-mkhomedir mustn't create
/etc/...
2007 Nov 19
1
print matrix content on plot
...919 1.416385 0.9981993Proportion of Variance 0.50054 0.212320 0.171060 0.04306 0.034740 0.012150 0.010260 0.006250 0.0031100Cumulative Proportion 0.50054 0.712870 0.883920 0.92698 0.961720 0.973870 0.984130 0.990380 0.9934900
PC10 PC11 PC12 PC13 PC14 PC15 PC16 PC17Standard deviation 0.9269088 0.8002766 0.4510176 0.3911732 0.3414279 0.2566597 0.2248179 6.359533e-16Proportion of Variance 0.0026800 0.0020000 0.0006300 0.0004800 0.0003600 0.0002100 0.0001600 0.000000e+00Cumulative Proportion 0.9961700 0.99816...
2011 Oct 12
1
CVbinary - Help
Hey,
I need some help.
I want to obtain a cross validation for a regression model (binary response)
but I got an error with CVbinary. Well I did this:
fit <- lm(resp ~ PC1 + PC2 + PC3 + PC4 + PC5 + PC6 + PC7 + PC8 +
PC9+PC10+PC11+PC12+PC13+PC14+PC15+PC16+PC17+PC18+PC19+PC20+PC21+PC22+PC23+PC24+PC25+PC26+PC27+PC28,
data = dexp.cp, family=binomial())
CVbinary(fit)
Error in sample(nfolds, m, replace = TRUE) : invalid 'size' argument
I cannot understand this error, I was googling it, but i didn't find nothing
really helpful...
2016 Mar 24
3
summary( prcomp(*, tol = .) ) -- and 'rank.'
...d deviation 3.6415 2.7178 1.8447 1.3943 1.10207 0.90922 0.76951 0.67490
Proportion of Variance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713 0.01943 0.01495
Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001 0.93944 0.95439
PC9 PC10 PC11 PC12 PC13 PC14
Standard deviation 0.60833 0.51638 0.49048 0.44452 0.40326 0.3904
Proportion of Variance 0.01214 0.00875 0.00789 0.00648 0.00534 0.0050
Cumulative Proportion 0.96653 0.97528 0.98318 0.98966 0.99500 1.0000
>
which computes the *proportions* as if there were only 14 PCs in
total (but...
2016 Mar 24
3
summary( prcomp(*, tol = .) ) -- and 'rank.'
...t; > 0.67490
> > Proportion of Variance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713
> 0.01943
> > 0.01495
> > Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001
> 0.93944
> > 0.95439
> > PC9 PC10 PC11 PC12 PC13 PC14
> > Standard deviation 0.60833 0.51638 0.49048 0.44452 0.40326 0.3904
> > Proportion of Variance 0.01214 0.00875 0.00789 0.00648 0.00534 0.0050
> > Cumulative Proportion 0.96653 0.97528 0.98318 0.98966 0.99500 1.0000
> > >
> >
> > which computes th...
2016 Mar 25
2
summary( prcomp(*, tol = .) ) -- and 'rank.'
...riance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713
>>> 0.01943
>>>> 0.01495
>>>> Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001
>>> 0.93944
>>>> 0.95439
>>>> PC9 PC10 PC11 PC12 PC13 PC14
>>>> Standard deviation 0.60833 0.51638 0.49048 0.44452 0.40326 0.3904
>>>> Proportion of Variance 0.01214 0.00875 0.00789 0.00648 0.00534 0.0050
>>>> Cumulative Proportion 0.96653 0.97528 0.98318 0.98966 0.99500 1.0000
>>>>>
>>&...
2016 Mar 24
0
summary( prcomp(*, tol = .) ) -- and 'rank.'
...1.8447 1.3943 1.10207 0.90922 0.76951
> 0.67490
> Proportion of Variance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713 0.01943
> 0.01495
> Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001 0.93944
> 0.95439
> PC9 PC10 PC11 PC12 PC13 PC14
> Standard deviation 0.60833 0.51638 0.49048 0.44452 0.40326 0.3904
> Proportion of Variance 0.01214 0.00875 0.00789 0.00648 0.00534 0.0050
> Cumulative Proportion 0.96653 0.97528 0.98318 0.98966 0.99500 1.0000
> >
>
> which computes the *proportions* as if there we...
2016 Mar 25
0
summary( prcomp(*, tol = .) ) -- and 'rank.'
...t;> Proportion of Variance 0.4352 0.2424 0.1117 0.0638 0.03986 0.02713
>> 0.01943
>>> 0.01495
>>> Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001
>> 0.93944
>>> 0.95439
>>> PC9 PC10 PC11 PC12 PC13 PC14
>>> Standard deviation 0.60833 0.51638 0.49048 0.44452 0.40326 0.3904
>>> Proportion of Variance 0.01214 0.00875 0.00789 0.00648 0.00534 0.0050
>>> Cumulative Proportion 0.96653 0.97528 0.98318 0.98966 0.99500 1.0000
>>>>
>>>
>>>...
2016 Mar 25
0
summary( prcomp(*, tol = .) ) -- and 'rank.'
...1117 0.0638 0.03986 0.02713
>>>> 0.01943
>>>>> 0.01495
>>>>> Cumulative Proportion 0.4352 0.6775 0.7892 0.8530 0.89288 0.92001
>>>> 0.93944
>>>>> 0.95439
>>>>> PC9 PC10 PC11 PC12 PC13 PC14
>>>>> Standard deviation 0.60833 0.51638 0.49048 0.44452 0.40326 0.3904
>>>>> Proportion of Variance 0.01214 0.00875 0.00789 0.00648 0.00534 0.0050
>>>>> Cumulative Proportion 0.96653 0.97528 0.98318 0.98966 0.99500 1.0000
>>>>>...
2016 Mar 22
3
Memory usage in prcomp
Hi All:
I am running prcomp on a very large array, roughly [500000, 3650]. The array itself is 16GB. I am running on a Unix machine and am running ?top? at the same time and am quite surprised to see that the application memory usage is 76GB. I have the ?tol? set very high (.8) so that it should only pull out a few components. I am surprised at this memory usage because prcomp uses the SVD
2016 Mar 22
3
Memory usage in prcomp
Hi All:
I am running prcomp on a very large array, roughly [500000, 3650]. The array itself is 16GB. I am running on a Unix machine and am running ?top? at the same time and am quite surprised to see that the application memory usage is 76GB. I have the ?tol? set very high (.8) so that it should only pull out a few components. I am surprised at this memory usage because prcomp uses the SVD