Reputation: 43
I want to know how to turn this plot:
Into this plot:
As you can see the panel and axis on the 2nd plot are limited to the data extent. I made the second graph using design software but want to know the code.
Ive already limited the x and y axis using
xlim and ylim but no difference.
Please see my code below, sorry its so messy, first time using r studio. Thanks!
ggplot() +
geom_errorbar(data = U1483_Coiling_B_M_Removed_R, mapping = aes(x = `Age (Ma) Linear Age Model`, ymin = `Lower interval*100`, ymax = `Upper interval*100`), width = 0.025, colour = 'grey') +
geom_line(data = U1483_Coiling_B_M_Removed_R, aes(x = `Age (Ma) Linear Age Model`, y = `Percent Dextral`)) +
geom_point(data = U1483_Coiling_B_M_Removed_R, aes(x = `Age (Ma) Linear Age Model`, y = `Percent Dextral`), colour = 'red') +
geom_point(data = U1483_Coiling_B_M_Removed_R, aes(x = `Age (Ma) Linear Age Model`, y = `Lab?`)) +
theme(axis.text.x=element_text(angle=90, size=10, vjust=0.5)) +
theme(axis.text.y=element_text(angle=90, size=10, vjust=0.5)) +
theme_classic() +
theme(panel.background = element_rect(colour = 'black', size = 1)) +
xlim(0, 2.85) +
ylim(0, 100)
Upvotes: 4
Views: 952
Reputation: 12084
You can use expand
when specifying axis scales, like so:
# Load library
library(ggplot2)
# Set RNG
set.seed(0)
# Create dummy data
df <- data.frame(x = seq(0, 3, by = 0.1))
df$y <- 100 - abs(rnorm(nrow(df), 0, 10))
# Plot results
# Original
ggplot(df, aes(x, y)) +
geom_line() +
geom_point(colour = "#FF3300", size = 5)
# With expand
ggplot(df, aes(x, y)) +
geom_line() +
geom_point(colour = "#FF3300", size = 5) +
scale_y_continuous(expand = c(0, 0))
Upvotes: 2