使用R在一个图上绘制来自离散数据的两个估计分布可以通过以下步骤实现:
read.csv()
函数或其他适用的函数将数据从文件中读取到R中。plot()
、hist()
、barplot()
等)将两个估计分布绘制在同一个图上。可以使用不同的颜色或图案来区分两个分布。以下是一个示例代码,演示如何使用R绘制来自离散数据的两个估计分布(以二项分布和泊松分布为例):
# 导入数据
data <- c(0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0)
# 估计分布
binomial_dist <- dbinom(0:15, size = length(data), prob = mean(data))
poisson_dist <- dpois(0:15, lambda = mean(data))
# 绘制图形
plot(0:15, binomial_dist, type = "h", lwd = 2, col = "blue", xlab = "X", ylab = "Probability", main = "Estimation Distributions")
lines(0:15, poisson_dist, type = "h", lwd = 2, col = "red")
legend("topright", legend = c("Binomial", "Poisson"), col = c("blue", "red"), lwd = 2)
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请注意,以上代码仅为示例,实际应用中可能需要根据具体情况进行适当的修改和调整。
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