You should study the theory of regression before proceeding, since the chance
of obtaining a significant (useful) result with 400 inputs is negligible.
You should also read the help files for the functions you are using (e.g. ?lm),
which in this case mention the coef() function in the See Also section.
---------------------------------------------------------------------------
Jeff Newmiller The ..... ..... Go Live...
DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
---------------------------------------------------------------------------
Sent from my phone. Please excuse my brevity.
On July 27, 2014 2:08:25 AM PDT, Maede Nouri <maede_nou...@yahoo.com> wrote:
>hello�
>I am new to R language.�I fitted a linear model and my output has about
>300 coefficients. I need to definition a function that join my model &
>these coefficients ! this is difficult because number of�coefficients
>is many.�
>I think there is not�a�provided query for this. I also used
>"fitted(fit) # predicted values" but it can't help me to recieve my
>goal. please help me�in finding the functions and�merge�my model�& its
>coefficients.
>
>
>data2<-subset(data1,pd2<660000)
>> sapply(data2,mode)
>� � � � aid � � � � act � � � �acid � � �id_new � � �userid � � � � pd1
>� � � � pd2 � � � � pd3 � � � � pd4 � � � � pd5 � � � freq1 � � � freq2
>� � � freq3�
>� "numeric" � "numeric" � "numeric" � "numeric" "character" "character"
>"character" "character" "character" � "numeric" � "numeric" � "numeric"
>� "numeric"�
>� � � freq4 � � � freq5�
>� "numeric" � "numeric"�
>> fit <- lm(act
>~freq1+freq2+freq3+freq4+freq5+pd1*freq1+pd2*freq2+pd3*freq3+pd4*freq4+pd5*freq5-1,data=data2)
>> summary(fit)
>
>Call:
>lm(formula = act ~ freq1 + freq2 + freq3 + freq4 + freq5 + pd1 *�
>� � freq1 + pd2 * freq2 + pd3 * freq3 + pd4 * freq4 + pd5 * freq5 -�
>� � 1, data = data2)
>
>Residuals:
>� � Min � � �1Q �Median � � �3Q � � Max�
>-26.905 �-2.843 � 0.000 � 1.606 �33.059�
>
>Coefficients: (233 not defined because of singularities)
>� � � � � � � � � Estimate Std. Error t value Pr(>|t|) � �
>freq1 � � � � � �1.293e-01 �1.753e-01 � 0.738 0.461206 � �
>freq2 � � � � � �2.016e-01 �3.310e-01 � 0.609 0.542809 � �
>freq3 � � � � � -4.816e+00 �2.220e+00 �-2.169 0.030795 * �
>freq4 � � � � � �2.395e-01 �1.751e+00 � 0.137 0.891272 � �
>freq5 � � � � � -9.289e+00 �6.110e+00 �-1.520 0.129394 � �
>pd1630000 � � � �5.625e+00 �5.978e+00 � 0.941 0.347445 � �
>pd1646000 � � � �7.082e+00 �1.410e+01 � 0.502 0.615714 � �
>pd1648000 � � � �1.275e+00 �4.240e+01 � 0.030 0.976027 � �
>pd1651000 � � � �3.404e+00 �5.694e+00 � 0.598 0.550352 � �
>pd1656000 � � � -8.177e+00 �1.017e+01 �-0.804 0.421906 � �
>pd1665000 � � � �3.795e+00 �5.649e+00 � 0.672 0.502231 � �
>pd1666000 � � � �9.805e+00 �5.857e+00 � 1.674 0.095058 . �
>pd2651000 � � � �4.790e+00 �6.122e+00 � 0.782 0.434510 � �
>pd2656000 � � � �1.754e+00 �5.620e+00 � 0.312 0.755221 � �
>pd2659000 � � � �4.187e-01 �9.814e+00 � 0.043 0.965996 � �
>pd3630000 � � � -7.989e+00 �5.629e+00 �-1.419 0.156780 � �
>pd3646000 � � � -1.638e+00 �1.772e+01 �-0.092 0.926444 � �
>pd3648000 � � � -4.021e+00 �7.725e+00 �-0.521 0.602998 � �
>pd3651000 � � � -4.848e+00 �6.400e+00 �-0.758 0.449243 � �
>pd3656000 � � � -6.105e-01 �8.732e+00 �-0.070 0.944303 � �
>pd3659000 � � � �4.474e+00 �7.483e+00 � 0.598 0.550296 � �
>pd3663000 � � � �1.299e+02 �4.969e+01 � 2.614 0.009360 **�
>pd3737082 � � � � � � � NA � � � � NA � � �NA � � � NA � �
>pd3737110 � � � �9.847e+01 �3.120e+01 � 3.156 0.001744 **�
>pd3738240 � � � �5.675e+00 �1.223e+01 � 0.464 0.643073 � �
>pd4646000 � � � �8.603e+00 �1.751e+01 � 0.491 0.623605 � �
>pd4648000 � � � �3.040e+00 �4.848e+00 � 0.627 0.531064 � �
>pd4651000 � � � �9.141e-01 �5.243e+00 � 0.174 0.861689 � �
>pd5 � � � � � � �1.132e-06 �3.440e-06 � 0.329 0.742355 � �
>freq1:pd1646000 � � � � NA � � � � NA � � �NA � � � NA � �
>freq1:pd1648000 -1.786e+00 �1.267e+01 �-0.141 0.888002 � �
>freq2:pd2646000 �1.369e+01 �1.666e+01 � 0.822 0.411865 � �
>freq2:pd2648000 �1.396e+00 �2.172e+00 � 0.643 0.520933 � �
>freq3:pd3693000 �3.270e+00 �2.557e+00 � 1.279 0.201910 � �
>freq3:pd3694000 �7.476e+00 �3.571e+00 � 2.094 0.037035 * �
>freq3:pd3699000 �5.310e+00 �2.187e+00 � 2.429 0.015679 * �
>
>
>thank you
> [[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.
______________________________________________
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.
