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http://stats.stackexchange.com/questions/76959/finding-inflection-points-in-r-from-smoothed-data
x = seq(1,15) y = c(4,5,6,5,5,6,7,8,7,7,6,6,7,8,9) plot(x,y,type="l",ylim=c(3,10)) lo <- loess(y~x) xl <- seq(min(x),max(x), (max(x) - min(x))/1000) out = predict(lo,xl) lines(xl, out, col='red', lwd=2) infl <- c(FALSE, diff(diff(out)>0)!=0) xl[infl ] #覲螻′ points(xl[infl ], out[infl ], col="blue") x <- 1:10 y <- c(100, 200, 300, 350, 400, 500, 600, 800, 900, 600) fit <- loess(y~x) plot(x, y) lines(x, predict(fit, data.frame(x)), col='red') out <- predict(fit, data.frame(x)) infl <- c(FALSE, diff(diff(out)>0)!=0) x[infl ] #覲螻′ points(x[infl ], out[infl ], col="red", pch=20)
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