CODEWITHSUNDEEP
rggplot2
testname123
testname123

Reputation: 1091

How to Extend a regression line and customize the axis ticks in R

I've got the following data:

vpri=seq(2,16,2)
vfb = 1.87*vpri

I want to make a linear regression that goes out from vfb = 1 to 100 on the y axis. I've tried a few things and wound up with this code:

ggplot(df, aes(x=vpri, y=vfb)) +geom_point(shape=1) +
  xlim(0,60) +
  stat_smooth(method="lm",fullrange = TRUE) +          
  scale_y_continuous(breaks=seq(0,100,5))

However, the truth is that the value of 60 I have in the arugments for xlim is something I got only after guessing and checking.

I would like to get the stat_smooth object to treat the y axis as the judge of what 'fullrange' really is, not the x axis. furthermore, once I get this far, I would then need to add custom tick-spacing to both axes (since the 25/division is too coarse) , but I know that R will throw a fit when I use xlim (or ylim) as the thing to drive stat_smooth and then ask it to handle the ticks later on with a scale_x_continuous, or a scale_y_continuous

Upvotes: 2

Views: 2346

Answers (1)

testname123
testname123

Reputation: 1091

This did it:

ggplot(df, aes(x=vpri, y=vfb)) +geom_point(shape=1) +    # Use hollow circles
  scale_x_continuous(limits=c(1,60),breaks=seq(0,60,5)) +
  scale_y_continuous(breaks=seq(0,2*60,5)) +
  stat_smooth(method="lm",fullrange = TRUE)

Upvotes: 2

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