Publications by muhamad johar arifin

Partical Aplicationst

16.06.2023

library(mvtnorm) library(ggplot2) library(matlib) set.seed(123) n <- 100 mu <- c(1, 2) sigma <- matrix(c(1, 0.5, 0.5, 2), nrow = 2) data <- rmvnorm(n, mean = mu, sigma = sigma) pca_result <- prcomp(data) pc_scores <- pca_result$x pc_loadings <- pca_result$rotation variance_ratio <- pca_result$sdev^2 / sum(pca_result$sdev^2) cat("Explained Var...

19 sym R (671 sym/15 pcs) 1 img

MASS untuk logistic regretion

16.06.2023

library(MASS) data(menarche) model <- glm(cbind(Menarche, Total - Menarche) ~ Age, data = menarche, family = binomial()) summary(model) ## ## Call: ## glm(formula = cbind(Menarche, Total - Menarche) ~ Age, family = binomial(), ## data = menarche) ## ## Coefficients: ## Estimate Std. Error z value Pr(>|z|) ...

11 sym R (1035 sym/8 pcs)

MASS untuk operasi matrix

16.06.2023

library(MASS) mat <- matrix(1:9, nrow = 3, ncol = 3) print("Original Matrix:") ## [1] "Original Matrix:" print(mat) ## [,1] [,2] [,3] ## [1,] 1 4 7 ## [2,] 2 5 8 ## [3,] 3 6 9 inverse <- ginv(mat) print("Inverse Matrix:") ## [1] "Inverse Matrix:" print(inverse) ## [,1] [,2] [,3] ## [1,...

24 sym R (1029 sym/21 pcs)

Ruang Eigen dan Diagonalisasi

14.06.2023

library(Matrix) library(ggplot2) A <- matrix(c(1, 2, 3, 4), nrow = 2, ncol = 2) eigen_result <- eigen(A) diagonal_matrix <- diag(eigen_result$values) eigenvector_df <- data.frame(x = c(0, eigen_result$vectors[1, 1]), y = c(0, eigen_result$vectors[2, 1])) eigenvector_plot <- ggplot(eigenvector_df, aes(x = x, y = y)) + ...

32 sym R (1464 sym/27 pcs) 2 img

Ruang Invarian

14.06.2023

library(Matrix) library(ggplot2) M <- matrix(c(1+2i, 3-4i, 5+6i, 2+3i, 4-5i, 6+7i, 1-2i, 3+4i, 5-6i), nrow = 3, byrow = TRUE) eigen_result <- eigen(M) eigenvectors <- eigen_result$vectors D <- diag(eigen_result$values) inv_eigenvectors <- solve(eigenvectors) invariant_matrix <- eigenvectors %*% D %*% inv_eigenvectors print(invariant_matrix) ## ...

19 sym R (2357 sym/14 pcs) 2 img

Tugas 1

13.04.2023

library(ISLR) data(Auto) model <- lm(mpg ~ cylinders + displacement + horsepower + weight, data = Auto) summary(model) ## ## Call: ## lm(formula = mpg ~ cylinders + displacement + horsepower + weight, ## data = Auto) ## ## Residuals: ## Min 1Q Median 3Q Max ## -11.5248 -2.7964 -0.3568 2.2577 16.3221 ## ...

22 sym R (2556 sym/19 pcs)

Persamaan aljabar linear

13.04.2023

library(ISLR) A <- as.matrix(mtcars[, c("wt", "disp", "hp")]) B <- mtcars$mpg x <- solve(t(A) %*% A, t(A) %*% B) print(x) ## [,1] ## wt 12.06390563 ## disp -0.11686153 ## hp 0.04382227 prediksi <- A %*% x hasil <- cbind(prediksi, B) colnames(hasil) <- c("Prediksi", "Mpg") print(hasil) ## Prediksi Mpg ## Ma...

20 sym R (2055 sym/14 pcs) 3 img

Operasi Pada Matrix

13.04.2023

library(matlib) mendefinisikan dua matrix` A <- matrix(c(1+2i, 2-3i, 0+4i, 5-2i), nrow=2, ncol=2) B <- matrix(c(-1-2i, 3+1i, 2-1i, 0+2i), nrow=2, ncol=2) print("Matriks A:") ## [1] "Matriks A:" print(A) ## [,1] [,2] ## [1,] 1+2i 0+4i ## [2,] 2-3i 5-2i print("Matriks B:") ## [1] "Matriks B:" print(B) ## [,1] [,2] ## [1,] -1-2i 2-1i ##...

222 sym R (1311 sym/44 pcs)

Materi 1

13.04.2023

library(ISLR) ISLR (Introduction to Statistical Learning with Applications in R) adalah sebuah buku teks yang ditulis oleh Gareth James, Daniela Witten, Trevor Hastie, dan Robert Tibshirani, yang membahas pengantar tentang pembelajaran statistik dan pembelajaran mesin. Library ISLR pada R merupakan salah satu library yang berisi dataset dan fun...

1027 sym R (93846 sym/28 pcs)

OPERASI MATRIX menggunakan library MASS

13.04.2023

library(MASS) Definisikan matriks A <- matrix(1:25, nrow=5, ncol=5) B <- matrix(26:50, nrow=5, ncol=5) Cetak matriks A dan B print(A) ## [,1] [,2] [,3] [,4] [,5] ## [1,] 1 6 11 16 21 ## [2,] 2 7 12 17 22 ## [3,] 3 8 13 18 23 ## [4,] 4 9 14 19 24 ## [5,] 5 10 15 20 25 print(B) ## ...

269 sym R (2656 sym/37 pcs)