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2012 Aug 08
1
Confidence bands around LOESS
...dartden.com/smoothing.csv", sep=",") mydata <- read.table("x.csv", header=TRUE, sep=",",) attach(mydata) reg1 <- lm(Y_Axis_Parameter~X_Axis_Parameter) par(cex=1) * * * * #Plots the data but makes nondetects a different color and type based on column D_Y_Axis_Parameter being a 0 for ND and 1 for detect. plot(X_Axis_Parameter, Y_Axis_Parameter, col=ifelse(D_Y_Axis_Parameter, "black", "red"),ylab = "Y_Axis_Parameter", pch=ifelse(D_Y_Axis_Parameter, 19, 17), cex = 0.7) plx<-predict(loess(Y_Axis_Parameter ~ X_Axis_Parameter, dat...