Hello, You are almost there.
With scale_x_continuous use argument limits. ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + scale_x_continuous(breaks = 1:6, labels = 1:6, limits = c(1, 6)) And with xlim it's not a vector c(1, 6), it's each element on its own: xlim(1, 6) Or lims(x = c(1, 6)) But with these two, the labels are not like you want them, they are 2 by 2. Hope this helps, Rui Barradas Às 10:34 de 10/01/21, Chris Evans escreveu:
[I must try to remember that swapping between Rstudio and my Emailer is a recipe for hitting ctrl-enter and posting prematurely: sorry!] I am sure I am doing something stupid but I can't see what. I am plotting data and want the x axis labels to reflect the theoretical range of the x variable which happens to be 1:6 but the observed values have range 2.6 to 5.9. I thought xlim(c(1,6)) should have got me that quite simply but it doesn't. I think this is a reproducible example of my failures (!) library(tidyverse) library(ggplot2) x <- seq(2,5.8,.2) list(x = x, y = rnorm(length(x))) %>% as_tibble() -> tibDat ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + xlim(c(1,6)) # x labels on plot are 2, 4 & 6 ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + expand_limits(x = c(1,6)) # same ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + scale_x_continuous(breaks = 1:6, labels = 1:6) # x labelled at 2:5 (why?!) ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + xlim(c(1,6)) + coord_cartesian(clip = "off") # back to 2, 4, 6 ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + xlim(c(1,6)) + coord_cartesian(expand = TRUE) # same ### OK, getting desperately hopeful ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + xlim(c(0,6)) # x axis has 0, 2, 4 and 6 (surely inconsistent behaviour?) ggplot(dat = tibDat, aes(x = x, y = y)) + geom_point() + xlim(c(0.1,6)) # x axis has 0, 2, 4 and 6 Can anyone see the simple answer that is eluding me?! TIA, Chris
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