ANOVA & Linear Models in R: Guide

In R language, variance analysis can be carried out using the anova() function, and linear model fitting can be done using the lm() function.

Example code for analysis of variance:

# 创建一个包含多个组的数据集
data <- data.frame(
  group = rep(c("A", "B", "C"), each = 10),
  value = rnorm(30)
)

# 进行方差分析
model <- lm(value ~ group, data = data)
anova_result <- anova(model)
print(anova_result)

Example code for fitting linear models:

# 创建一个包含两个变量的数据集
data <- data.frame(
  x = 1:10,
  y = 2 * (1:10) + rnorm(10)
)

# 拟合线性模型
model <- lm(y ~ x, data = data)
summary(model)

The code above is only an example, adjustments and modifications can be made according to the specific dataset and requirements in actual applications.