用R计算位于回归线上方和下方的点数 [英] Calculating the number of dots lie above and below the regression line with R
本文介绍了用R计算位于回归线上方和下方的点数的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
如何计算散点图上回归线上方和下方的点数?
How do I calculate the number of dots that lie above and below the regression line on a scatter plot?
data = read.csv("info.csv")
par(pty = "s")
plot(data$col1, data$col2, xlab = "xaxis", ylab = "yaxis", xlim = c(0,
1), cex.lab = 1.5, cex.axis = 1.5, ylim = c(0, 1), col.lab = "red",
col = "blue", pch = 19)
abline(a = -1.21, b = 2.21)
推荐答案
x <- 1:10
set.seed(1)
y <- 2*x+rnorm(10)
plot(y~x)
fit <- lm(y~x)
abline(fit)
resi <- resid(fit)
#below the fit:
sum(resi < 0)
#above the fit:
sum(resi > 0)
修改: 如果您(出于某些未知原因)这样做了:
If you did (for some unknown reason) something like this:
x <- 1:10
set.seed(1)
y <- 2*x+rnorm(10)
plot(y~x)
abline(-0.17,2.05)
您可以执行以下操作:
yfit <- 2.05 * x - 0.17
resi <- y - yfit
sum(resi < 0)
sum(resi > 0)
这篇关于用R计算位于回归线上方和下方的点数的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文