dear R users,
I am performing a linear regression with lm, and I would like to plot
the regressor in dashed lines. I know that the lty=2 option is the way
out, but it has a very strange behaviour: the line starts dashed but
then the spaces between each dash becomes very tiny and so the line
become somehow continuous for the human eye. Do you know how to fix that
problem, in order to have a dashed line with big enough spaces between
the dashes?
Here is a MWE (don't mind if clearly a linear model will not fit these
"fake randomly generated" data).
Also, changing the plot(...,type="l") to abline(regressor,lty=2,...)
helps and draw a pure dashed line but it is impossible to force it to
stay in the bounds of the data.
Changing to line instead shows the same problem as mentioned here in the
MWE.
pdf("reproducableex.pdf")
df1<-data.frame(B=runif(20,1.4,1.6),A=runif(20,-19.5,-9.8))
regressor<-lm(A~B,data = df1)
plot(df1$B,predict(regressor,df1),type="l", col="black",
mgp=c(2,0.5,0),cex.lab=1.6, lwd=2,
lty=2,xlim=range(c(1.2,1.7)),ylim=rev(range(c(-19,-8))))
par(new = TRUE)
plot(df1$B,as.numeric(df1$A),type="p", col="black",
mgp=c(2,0.5,0),cex.lab=1.6,cex=2, xlab = "", ylab =
"",xlim=range(c(1.2,1.7)),ylim=rev(range(c(-19,-8))),pch=17)
box(lwd=3)
dev.off()
Thanks in advance, best regards
Jean-Philippe Fontaine
--
Jean-Philippe Fontaine
PhD Student in Astroparticle Physics,
Gran Sasso Science Institute (GSSI),
Viale Francesco Crispi 7,
67100 L'Aquila, Italy
Mobile: +393487128593, +33615653774
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