统计计算

参考

• R语言高级编程

• R语言数据科学

• R语言数据可视化

• R包开发

1. 矩阵计算

1.1 矩阵乘法

```{r}
a <- c(1, -1, 1, -1, -3, -3, 1, -3, 0) |> matrix(byrow = T, nrow = 3)
c <- c(1, 1, -3 / 2, 0, 1, -1 / 2, 0, 0, 1) |> matrix(byrow = T, nrow = 3)
q <- t(c) %*% a %*% c
```

1.2 矩阵求逆

1.3 矩阵特征值

```{r}
eigen(q)
```

eigen() decomposition
$values
[1]  1  0 -4

$vectors
     [,1] [,2] [,3]
[1,]    1    0    0
[2,]    0    0    1
[3,]    0    1    0

2. 高级R

```{r}
library(tidyverse, quietly = true, warn.conflicts = false)
library(knitr, quietly = true)
library(rsthemes, quietly = true)
library(conflicted, quietly = true)
library(easystats, quietly = true)
library(autoReg, quietly = true)
library(lubridate, quietly = true)
library(ggplot2, quietly = true)
library(scales, quietly = true)
library(ggthemr, quietly = true)
conflicts_prefer(dplyr::filter)
ggthemr(palette = "pale")
```