將密度曲線擬合成R中的直方圖R中是否有與直方圖擬合曲線的函數(shù)？假設(shè)你有下面的直方圖hist(c(rep(65, times=5), rep(25, times=5), rep(35, times=10), rep(45, times=4)))它看起來很正常，但它是傾斜的。我想要擬合一個(gè)正常的曲線，是傾斜的，圍繞這個(gè)直方圖。這個(gè)問題是相當(dāng)基本的，但我似乎無法在互聯(lián)網(wǎng)上找到R的答案。
3 回答
一只萌萌小番薯
TA貢獻(xiàn)1795條經(jīng)驗(yàn) 獲得超7個(gè)贊
X <- c(rep(65, times=5), rep(25, times=5), rep(35, times=10), rep(45, times=4))hist(X, prob=TRUE) # prob=TRUE for probabilities not countslines(density(X)) # add a density estimate with defaultslines(density(X, adjust=2), lty="dotted") # add another "smoother" density
稍后編輯很長時(shí)間：
X <- c(rep(65, times=5), rep(25, times=5), rep(35, times=10), rep(45, times=4))hist(X, prob=TRUE, col="grey") # prob=TRUE for probabilities not countslines(density(X), col="blue", lwd=2) # add a density estimate with defaultslines(density(X, adjust=2), lty="dotted", col="darkgreen", lwd=2)
慕后森
TA貢獻(xiàn)1802條經(jīng)驗(yàn) 獲得超5個(gè)贊
library(ggplot2)dataset <- data.frame(X = c(rep(65, times=5), rep(25, times=5), rep(35, times=10), rep(45, times=4)))ggplot(dataset, aes(x = X)) + geom_histogram(aes(y = ..density..)) + geom_density()
ggplot(dataset, aes(x = X)) + geom_histogram(aes(y = ..density..), binwidth = 5) + geom_density()
慕沐林林
TA貢獻(xiàn)2016條經(jīng)驗(yàn) 獲得超9個(gè)贊
foo <- rnorm(100, mean=1, sd=2)hist(foo, prob=TRUE)curve(dnorm(x, mean=mean(foo), sd=sd(foo)), add=TRUE)
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