27 Mar
2015
27 Mar
'15
01:01
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!