# Generate fake ammonia load data
set.seed(123) # For reproducibility
dates <- seq(as.Date("2024-01-01"), as.Date("2024-12-31"), by="week")
ammonia_load <- runif(length(dates), min=0, max=0.35) # Random data between 0 and 0.35
# Create a data frame
df <- data.frame(Date = dates, `Amonia Load` = ammonia_load)
df
### Change with separation !!!!!!!!!!!
# Create Top plot
Figure = ggplot(df, aes(x=Date, y=`Amonia.Load`)) +
geom_point(color="black", fill="blue", shape=21, size=2) +
labs(x="", y="Load (kg/day)") +
theme_classic() +
scale_x_date(date_breaks="1 month", date_labels="%b") +
scale_y_continuous(limits=c(0.0, 3.0), breaks = c(0.0,0.2,0.4,0.6,0.8,1.0,2.5,3.0)) +
theme(panel.border = element_rect(color="black", fill=NA, size=0.5), text = element_text(size=12), axis.text = element_text(size=12),
axis.title = element_text(size=12)) +
geom_hline(yintercept=2.8, linetype="dashed", color="black") +
scale_y_break(c(1.0, 2.5))
Figure
library(ggplot2)
library(ggbreak)
ggplot(df, aes(x = Date, y = `Amonia.Load`)) +
geom_point(color = "black", fill = "blue", shape = 21, size = 2) +
geom_hline(yintercept = 2.62, linetype = "dashed", color ="black") +
scale_x_date(name = NULL, date_breaks = "1 month", date_labels = "%b") +
scale_y_continuous(name = "Load (kg/day)",
limits = c(0.0, 2.7),
breaks = c(seq(0, 1, 0.2), 2.5, 2.7),
labels = c(seq(0, 1, 0.2), 2.5, 3)) +
scale_y_break(breaks = c(1.0, 2.5)) +
theme_classic() +
theme(panel.border = element_rect(color = "black", fill = NA, size = 0.5),
text = element_text(size = 12),
axis.text = element_text(size = 12),
axis.title = element_text(size = 12))