I've tried searching stack overflow for the answer but I couldn't get it.
I'm using a reversed y axis to plot one y variable over time and I wanted to get my secondary y axis in normal order (not reversed).
library(tidyverse)
library(scales)
library(lemon)
base_nivelprecip %>%
mutate(nivel = as.double(nivel),
precip = as.double(precip)) %>%
mutate(precip_rescaled = precip/200) %>%
ggplot(aes(x = data, y = nivel,
xmin = as.POSIXct("2012-05-01", "%Y-%m-%d"),
xmax = as.POSIXct("2020-04-30", "%Y-%m-%d")))
geom_col(aes(x = data, y = precip_rescaled), fill = '#8D8DAA', size = 3)
geom_line(group = 1, color = '#041562', size = 0.3)
labs(x = "", y = "Groundwater level (m)")
scale_y_reverse(limits = c(5,-0.5) , sec.axis = sec_axis(~rev(.)*200, name = "Precipitation (mm)"))
lemon::facet_rep_wrap(~poco, nrow = 3, repeat.tick.labels = TRUE)
theme_bw()
theme(text=element_text(size=12),
axis.text.x = element_text(size = 8)
Although I've tried some transformations, the best I could get was this:
But I wanted the geom_col (in secondary axis) to start at the secondary axis 0, not at the primary axis. Can somebody help me? Thanks. A sample of my data is here:
CodePudding user response:
Keep in mind that in ggplot2, secondary axes are a decoration that does not change the mapping of your data. So if you want your data to be mapped to a secondary axis, you need to transform it to appear where you want in terms of the primary axis (it's not like Excel where that happens automatically). Then you also need to define the transformation of the secondary axis.
In the case below, I have a reversed primary axis which determines the placement of the points. I also have a secondary axis that transforms the primary axis into the opposite slope. Here, ~35-.
means "transform so that the value for input 0 turns into 35, and the slope is reversed."
ggplot(mtcars, aes(wt, mpg))
geom_point()
scale_y_continuous(trans = "reverse",
sec.axis = sec_axis(~35-., name = "how far below 35 mpg"))