27 Mar
2015
27 Mar
'15
03:16
Boa noite,
Acho que é possível simplificar com o uso de scale()...
### <code r>
x <- as.matrix(c(10.373173554, 6.125265914, 3.148949951, 2.722401273,
2.045041946,
1.498078581, 1.35012278, 1.33545711, 1.190051106, 0.999610112,
0.850212256, 0.716720583, 0.600704889, 0.474433269, 0.431826856,
0.388576986, 0.266709936, 0.176960029, 0.045935755, 0.02012691,
-0.003897135, -0.030136936, -0.074815367, -0.14541063, -0.294553778,
-0.453450244, -0.551343912, -0.710794973, -1.222537293, -1.273419528))
### Similar ao utilizado no código inicial
raiz <- sqrt(sum(x^2))
scale(x, center=FALSE, scale=raiz)
### Para valores entre 0 e 1
scale(x-min(x), center=FALSE, scale=max(x)-min(x))
### </code>
Éder Comunello <c <comunello.eder@gmail.com>omunello.eder@gmail.com>
Dourados, MS - [22 16.5'S, 54 49'W]
Em 26 de março de 2015 21:01, Michelle Bau Graczyk <mbgraczyk@gmail.com>
escreveu:
> Boa noite,
>
> Eu estou normalizando autovetores de uma matriz e colocando eles em outra.
> Para isso eu montei o programa a seguir. A primeira forma, ele só calcula o
> ultimo elemento da coluna 4 da matriz, e da segunda forma os valores do
> resultado estão errados.
> Primeira forma:
> > a<-read.table("/Users/bau/Documents/Mestrado/teste/eigen1.txt",
> header=TRUE)
>
> > b<-as.matrix(a)
> > matriznorm<-matrix(0,30,4)
> > matriznorm[,1]<-b[,1]# só vou usar este valores do arquivo acima
> > show(matriznorm[,1])
> [1] 10.373173554 6.125265914 3.148949951 2.722401273 2.045041946
> 1.498078581 1.350122780
> [8] 1.335457110 1.190051106 0.999610112 0.850212256 0.716720583
> 0.600704889 0.474433269
> [15] 0.431826856 0.388576986 0.266709936 0.176960029 0.045935755
> 0.020126910 -0.003897135
> [22] -0.030136936 -0.074815367 -0.145410630 -0.294553778 -0.453450244
> -0.551343912 -0.710794973
> [29] -1.222537293 -1.273419528
> > for( i in 1:30){
> + matriznorm[i,2]<-matriznorm[i,1]*matriznorm[i,1]
> + }
> >
> > somaQuadrados<-sum(matriznorm[,2])
> > raiz<-sqrt(somaQuadrados)
> > matriznorm[,3]<-raiz
> >
> > for(j in i:30){
> + matriznorm[j,4]<-matriznorm[j,1]/raiz
> + }
> >
> >
> write.table(matriznorm,"/Users/bau/Documents/Mestrado/teste/eigenValuesNorm1.txt")
> > show(matriznorm)
> [,1] [,2] [,3] [,4]
> [1,] 10.373173554 1.076027e+02 13.46876 0.00000000
> [2,] 6.125265914 3.751888e+01 13.46876 0.00000000
> [3,] 3.148949951 9.915886e+00 13.46876 0.00000000
> [4,] 2.722401273 7.411469e+00 13.46876 0.00000000
> [5,] 2.045041946 4.182197e+00 13.46876 0.00000000
> [6,] 1.498078581 2.244239e+00 13.46876 0.00000000
> [7,] 1.350122780 1.822832e+00 13.46876 0.00000000
> [8,] 1.335457110 1.783446e+00 13.46876 0.00000000
> [9,] 1.190051106 1.416222e+00 13.46876 0.00000000
> [10,] 0.999610112 9.992204e-01 13.46876 0.00000000
> [11,] 0.850212256 7.228609e-01 13.46876 0.00000000
> [12,] 0.716720583 5.136884e-01 13.46876 0.00000000
> [13,] 0.600704889 3.608464e-01 13.46876 0.00000000
> [14,] 0.474433269 2.250869e-01 13.46876 0.00000000
> [15,] 0.431826856 1.864744e-01 13.46876 0.00000000
> [16,] 0.388576986 1.509921e-01 13.46876 0.00000000
> [17,] 0.266709936 7.113419e-02 13.46876 0.00000000
> [18,] 0.176960029 3.131485e-02 13.46876 0.00000000
> [19,] 0.045935755 2.110094e-03 13.46876 0.00000000
> [20,] 0.020126910 4.050925e-04 13.46876 0.00000000
> [21,] -0.003897135 1.518766e-05 13.46876 0.00000000
> [22,] -0.030136936 9.082349e-04 13.46876 0.00000000
> [23,] -0.074815367 5.597339e-03 13.46876 0.00000000
> [24,] -0.145410630 2.114425e-02 13.46876 0.00000000
> [25,] -0.294553778 8.676193e-02 13.46876 0.00000000
> [26,] -0.453450244 2.056171e-01 13.46876 0.00000000
> [27,] -0.551343912 3.039801e-01 13.46876 0.00000000
> [28,] -0.710794973 5.052295e-01 13.46876 0.00000000
> [29,] -1.222537293 1.494597e+00 13.46876 0.00000000
> [30,] -1.273419528 1.621597e+00 13.46876 -0.09454616
> >
> Da segunda forma:
> > a<-read.table("/Users/bau/Documents/Mestrado/teste/eigen1.txt",
> header=TRUE)
> > b<-as.matrix(a)
> > matriznorm<-matrix(0,30,4)
> > matriznorm[,1]<-b[,1]
> > show(matriznorm[,1])
> [1] 10.373173554 6.125265914 3.148949951 2.722401273 2.045041946
> 1.498078581 1.350122780
> [8] 1.335457110 1.190051106 0.999610112 0.850212256 0.716720583
> 0.600704889 0.474433269
> [15] 0.431826856 0.388576986 0.266709936 0.176960029 0.045935755
> 0.020126910 -0.003897135
> [22] -0.030136936 -0.074815367 -0.145410630 -0.294553778 -0.453450244
> -0.551343912 -0.710794973
> [29] -1.222537293 -1.273419528
> > for( i in 1:30){
> + matriznorm[i,2]<-matriznorm[i,1]*matriznorm[i,1]
> +
> + somaQuadrados<-sum(matriznorm[,2])
> + raiz<-sqrt(somaQuadrados)
> + matriznorm[,3]<-raiz
> +
> + for(j in i:30){
> + matriznorm[j,4]<-matriznorm[j,1]/raiz
> + }
> + }
> >
> write.table(matriznorm,"/Users/bau/Documents/Mestrado/teste/eigenValuesNorm1.txt")
> > show(matriznorm)
> [,1] [,2] [,3] [,4]
> [1,] 10.373173554 1.076027e+02 13.46876 1.0000000000
> [2,] 6.125265914 3.751888e+01 13.46876 0.5084624670
> [3,] 3.148949951 9.915886e+00 13.46876 0.2528991576
> [4,] 2.722401273 7.411469e+00 13.46876 0.2135962692
> [5,] 2.045041946 4.182197e+00 13.46876 0.1584251428
> [6,] 1.498078581 2.244239e+00 13.46876 0.1152793173
> [7,] 1.350122780 1.822832e+00 13.46876 0.1033376904
> [8,] 1.335457110 1.783446e+00 13.46876 0.1016853664
> [9,] 1.190051106 1.416222e+00 13.46876 0.0902440218
> [10,] 0.999610112 9.992204e-01 13.46876 0.0755856426
> [11,] 0.850212256 7.228609e-01 13.46876 0.0641564605
> [12,] 0.716720583 5.136884e-01 13.46876 0.0540043425
> [13,] 0.600704889 3.608464e-01 13.46876 0.0452163558
> [14,] 0.474433269 2.250869e-01 13.46876 0.0356888678
> [15,] 0.431826856 1.864744e-01 13.46876 0.0324667092
> [16,] 0.388576986 1.509921e-01 13.46876 0.0292025272
> [17,] 0.266709936 7.113419e-02 13.46876 0.0200398900
> [18,] 0.176960029 3.131485e-02 13.46876 0.0132951406
> [19,] 0.045935755 2.110094e-03 13.46876 0.0034511674
> [20,] 0.020126910 4.050925e-04 13.46876 0.0015121392
> [21,] -0.003897135 1.518766e-05 13.46876 -0.0002927926
> [22,] -0.030136936 9.082349e-04 13.46876 -0.0022641887
> [23,] -0.074815367 5.597339e-03 13.46876 -0.0056207917
> [24,] -0.145410630 2.114425e-02 13.46876 -0.0109238800
> [25,] -0.294553778 8.676193e-02 13.46876 -0.0221227473
> [26,] -0.453450244 2.056171e-01 13.46876 -0.0340370871
> [27,] -0.551343912 3.039801e-01 13.46876 -0.0413498303
> [28,] -0.710794973 5.052295e-01 13.46876 -0.0532327969
> [29,] -1.222537293 1.494597e+00 13.46876 -0.0911767942
> [30,] -1.273419528 1.621597e+00 13.46876 -0.0945461625
>
> Muito obrigada!
>
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