Strange behaviour when I add secondary axis in my ggplot-CodePudding

This is one application from my earlier post on similar subject -

This plot looks strange to me. Why my bars for y2 going to negative territory?

I also tried with changing the transformation as,

ggplot(dat, aes(x = x))  
  geom_col(aes(y = (y2 - 8000) / 8000), fill = 'red')  
  geom_line(aes(y = y1, colour = 'TempMax'), size = 1.2)  
  scale_y_continuous(name = 'Temp', limits = c(-3, 3),
                     sec.axis = sec_axis(~(.x * 8000   8000), name = 'var'))

With this, I get below plot

As you see, the range for secondary y axis still going into negative zone. I would ideally expect to see limit of secondary y axis starting from 0. Any idea on how can I make this correction will be very helpful.

CodePudding user response：

In order to adjust/manipulate/force the sec.axis to start at 0 you can use expand = c(-3, 3)

Sample code:

   library(ggplot2)
library(quantmod)

ggplot(dat, aes(x = x))  
  geom_col(aes(y = (y2 - 14000) / 8000), fill = 'red')  
  geom_line(aes(y = y1, colour = 'TempMax'), size = 1.2)  
  scale_y_continuous(name = 'Temp', 
                     sec.axis = sec_axis(~(.x * 8000   14000), name = 'var'), expand = c(-3, 3))

Plot:

With regards to your remark - standalone basis of the sec.axis

with expand =c (-3,3)

and with limits=c(-3,3)

For the second code, I would use expand=c(0,1)

You could scale the x axis as well

Sample code:

ggplot(dat, aes(x = x))  
  geom_col(aes(y = (y2 - 8000) / 8000), fill = 'red')  
  geom_line(aes(y = y1, colour = 'TempMax'), size = 1.2)  
  scale_y_continuous(name = 'Temp', expand = c(0, 0),
                     sec.axis = sec_axis(~(.x * 8000   8000), name = 'var')) 
  scale_x_continuous(expand=c(0,0)) 
  theme_bw()

Plot:

Sample data:

dat = data.frame(x = as.yearqtr(seq(as.Date('2002-01-01'), length.out = 17, by = '95 day')),
                 y1 = c(-0.0042, 0.0221, 0.0387, 0.0523, -0.0743, -0.0903, 0.0997, 0.0982, 0.0956, -0.0961, -0.0696, -0.0818, 0.0766, 0.0654, 0.1275, 0.1178, 0.0878),
                 y2 = c(19747, 19343, 19007, 18336, 17534, 16548, 15536, 14400, 13428, 12686, 11877, 11250, 10625, 10122, 9740, 9314, 8892))

CodePudding user response：

Would this suit your needs?

ggplot(dat, aes(x = x))  
  geom_col(aes(y = (y2 / 8000), fill = 'red')  
  geom_line(aes(y = y1, colour = 'TempMax'), size = 1.2)  
  scale_y_continuous(name = 'Temp', limits = c(-0.2, 3),
                     sec.axis = sec_axis(~(.x * 8000), name = 'var'))