Crops
Crops

Reputation: 5154

Reduce space between discrete axis ticks in ggplot2

I am trying to plot two scales parallel to each other in ggplot2 as follows.

data <- rbind(data.frame(type = "norm", value = 0:100, label = 0:100),
              data.frame(type = "trans", value = asin(0:100/100) *100, label = 0:100))

data <- data[data$label %% 1 == 0,]
data$size <- ifelse(data$label %% 10 == 0, 0.2,
                    ifelse(data$label %% 5 == 0, 0.1,
                           0.05))
data$R <- ifelse(data$type == "norm",
                 as.numeric(data$type) - data$size,
                 as.numeric(data$type))
data$L <- ifelse(data$type == "trans",
                 as.numeric(data$type) + data$size,
                 as.numeric(data$type))
data$Txt <- ifelse(data$type == "norm",
                   data$L - 0.3,
                   data$R + 0.3)

g <- ggplot(data, aes(x = type, y = value)) +
  geom_line(aes(group = type)) +
  scale_x_discrete("type", labels = parse(text = levels(data$type))) +
  annotate("segment", x = data$L, xend = data$R,
           y = data$value,
           yend = data$value) + 
  annotate("text", x = data[data$label %% 10 == 0,]$Txt,
           y = data[data$label %% 10 == 0,]$value,
           label = data[data$label %% 10 == 0,]$label) +
  theme_minimal() +
  theme(axis.text.y = element_blank(),
        axis.title = element_blank(),
        axis.text.x = element_text(colour = "black",
                                   size = 12),
        plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())

enter image description here

Preserving the aspect ratio and size, how to reduce the space between norm and trans scales to get the following desired result?enter image description here

Upvotes: 5

Views: 4773

Answers (1)

AK88
AK88

Reputation: 3026

Added expand=c(0,20) to scale_x_discrete and manipulated other inputs. So far the code looks like:

data <- data[data$label %% 1 == 0,]
data$size <- ifelse(data$label %% 10 == 0, 4,
                    ifelse(data$label %% 5 == 0, 2,
                           1))
data$R <- ifelse(data$type == "norm",
                 as.numeric(data$type) - data$size,
                 as.numeric(data$type))
data$L <- ifelse(data$type == "trans",
                 as.numeric(data$type) + data$size,
                 as.numeric(data$type))
data$Txt <- ifelse(data$type == "norm",
                   data$L - 6,
                   data$R + 6)

g <- ggplot(data, aes(x = type, y = value)) +
  geom_line(aes(group = type)) +
  scale_x_discrete("type",
                   expand=c(0,20)) +
  annotate("segment", x = data$L, xend = data$R,
           y = data$value,
           yend = data$value) + 
  annotate("text", x = data[data$label %% 10 == 0,]$Txt,
           y = data[data$label %% 10 == 0,]$value,
           label = data[data$label %% 10 == 0,]$label) +
  theme_minimal() +
  theme(axis.text.y = element_blank(),
        axis.title = element_blank(),
        axis.text.x = element_blank(),
        plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())
g

enter image description here

Upvotes: 5

Related Questions