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# LOWESS smoothing
source( " kuh.txt " ) kuh <- kuh/25+36 pdf("lowess1.pdf",width=5,height=5) par(mar=c(4,4,1,1)) plot(kuh,xlab="Tag",ylab="Temperatur [°C]",cex.lab=1.2) lines(lowess(kuh,f=2/3)) lines(lowess(kuh,f=1/3),lty=2) dev.off() | |
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# LOWESS smoothing
source( " kuh.txt " ) kuh <- kuh/25+36 pdf("lowess2.pdf",width=5,height=5) par(mar=c(4,4,1,1)) plot(kuh,xlab="Tag",ylab="Temperatur [°C]",cex.lab=1.2) lines(lowess(kuh,f=1/5)) lines(lowess(kuh,f=1/8),lty=2) dev.off() | |
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# LOWESS smoothing
streifen <- read.csv( " hamster.csv " ) x <- streifen[,1] y <- streifen[,2] a <- lowess(x,y,f=2/3) pdf("lowess3.pdf",width=5,height=5) par(mar=c(4,4,1,1)) plot(x,y,xlab="Anteil Winterschlaf [%]",ylab="Alter zum Todeszeitpunkt [Tage]", cex.lab=1.2) lines(a) dev.off() | |
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# LOWESS smoothing
streifen <- read.csv( " hamster.csv " ) x <- streifen[,1] y <- streifen[,2] a <- lowess(x,y,f=2/3) # Residuals r <- (y-a$y) pdf("lowess4.pdf",width=5,height=5) par(mar=c(4,4,1,1)) plot(x,abs(r),xlab="Anteil Winterschlaf [%]",ylab="Absolute Residuen von Alter", cex.lab=1.2) lines(lowess(x,abs(r),f=2/3)) dev.off() |