CODEWITHSUNDEEP
rggplot2
MC2020
MC2020

Reputation: 87

Reproduce a plot using ggplot

I am trying to reproduce a plot using ggplot.

The code I got from the textbook:

skeptic<-c(1,1.171,1.4,1.8,2.2,2.6,3,3.4,3.8,3.934,4.2,
4.6,5,5.4,5.8,6.2,6.6,7,7.4,7.8,8.2,8.6,9)

effect<-c(-.361,-.327,-.281,-.200,-.120,-.039,.041,.122,.202,.229,.282,
.363,.443,.524,.604,.685,.765,.846,.926,1.007,1.087,1.168,1.248)

llci<-c(-.702,-.654,-.589,-.481,-.376,-.276,-.184,-.099,-.024,0,.044,.105,
.161,.212,.261,.307,.351,.394,.436,.477,.518,.558,.597)

ulci<-c(-.021,0,.028,.080,.136,.197,.266,.343,.428,.458,.521,.621,.726,.836,
.948,1.063,1.180,1.298,1.417,1.537,1.657,1.778,1.899)

plot(x=skeptic,y=effect,type="l",pch=19,ylim=c(-1,1.5),xlim=c(1,6),lwd=3,
ylab="Conditional effect of disaster frame",
xlab="Climate Change Skepticism (W)")
points(skeptic,llci,lwd=2,lty=2,type="l")
points(skeptic,ulci,lwd=2,lty=2,type="l")
abline(h=0, untf=FALSE,lty=3,lwd=1)
abline(v=1.171,untf=FALSE,lty=3,lwd=1)
abline(v=3.934,untf=FALSE,lty=3,lwd=1)
text(1.171,-1,"1.171",cex=0.8)
text(3.934,-1,"3.934",cex=0.8)

The exemplary plot is enter image description here

I have tried ggplot but I am struggling with the vertical and horizontal dashed line. Could anybody reproduce the plot using ggplot? And I have a follow-up question. How can I mark the area of x < 3.934 and x > 1.171? Thank you!

Upvotes: 0

Views: 108

Answers (2)

Rui Barradas
Rui Barradas

Reputation: 76651

Here is a way to reproduce the posted graph.

library(ggplot2)
library(magrittr)
library(tidyr)

df1 <- data.frame(skeptic, effect, llci, ulci)
vlines <- data.frame(x = c(0, 1.171, 3.934))
vertices <- data.frame(xmin = 1.171, xmax = 3.934,
                        ymin = -Inf, ymax = Inf)

brks <- names(df1)[-1]

df1 %>%
  pivot_longer(-skeptic, names_to = "line") %>%
  ggplot(aes(skeptic, value)) +
  geom_rect(data = vertices,
            mapping = aes(xmin = xmin, xmax = xmax, 
                          ymin = ymin, ymax = ymax),
            fill = "blue", alpha = 0.2,
            inherit.aes = FALSE) +
  geom_line(aes(size = line, linetype = line)) +
  geom_hline(yintercept = 0, linetype = "dotted") +
  geom_vline(data = vlines, 
             mapping = aes(xintercept = x), 
             linetype = "dotted") +
  geom_text(data = subset(vlines, x != 0),
            mapping = aes(x = x, label = x), 
            y = -0.75,
            hjust = 0, vjust = 1) +
  scale_size_manual(breaks = brks, values = c(1, 0.5, 0.5)) +
  scale_linetype_manual(breaks = brks, values = c("solid", "dashed", "dashed")) +
  theme_bw() +
  theme(panel.grid.major = element_blank(), 
        panel.grid.minor = element_blank())

enter image description here

Upvotes: 1

Billy34
Billy34

Reputation: 2214

Constructing on your specific question (horizontal and vertical lines and area) as you said you got already the remaining parts right.

Use geom_hline for horizontal line and geom_vline for vertical one. linetype="dashed" will render dashed lines. As you didn't tell how you want the area rendered, here is my guess, a vertical grayed area extending horizontally from abcissa of your vertical lines and vertically from min effect to max effect (Inf values) drawn using a geom_rect.

ggplot(data.frame(skeptic,effect))+
  geom_line(aes(skeptic,effect))+
  geom_rect(aes(xmin=1.171,xmax=3.934,ymin=-Inf,ymax=Inf),fill="lightgray")+
  geom_hline(yintercept=0,linetype="dashed") +
  geom_vline(xintercept=c(1.171,3.934),linetype="dashed")

Upvotes: 0

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