Shaded area in ggplot2 with multiple time series in the same graph-CodePudding

I just need to insert an shaded small area in graph using ggplot2, like that

but I´m getting the following issue...

# R Packages

library(dplyr)
library(ggplot2)
library(plotly)

My dataset:

# Loading and visualizing data

multiple_time_series <- read.csv(file = "https://raw.githubusercontent.com/rhozon/datasets/master/timeseries_diff.csv", head = TRUE, sep = ";") %>%
  mutate(
    dates = as.Date(dates, format = "%d/%m/%y")
  ) %>% glimpse()

As you can see the dataset have the following time series v1, v2, v3, v4 and v5. Then I tryed to plot...

shade <- data.frame(
  x1 = "2022-05-04",
  x2 = "2022-05-05",
  y1 = 50, # Min y range
  y2 = 102  # Max y range
)

ggplotly(
  ggplot() 
  geom_line(aes(x = dates), data = multiple_time_series )  
    geom_line(aes(y = v1), color = "black") 
    geom_line(aes(y = v2), color = "red") 
    geom_line(aes(y = v3), color = "blue") 
    geom_line(aes(y = v4), color = "green") 
    geom_line(aes(y = v5), color = "yellow") 
   geom_rect(data = shade, 
            mapping = aes(
              xmin = as.Date(x1),
              xmax = as.Date(x2),
              ymin = y1,
              ymax = y2), color = "blue", alpha = 0.5)   xlab("")  
  theme(axis.title.y = element_text(size = 7, angle = 90))  
  ggtitle("Real data vs forecasted values")
)

And it return the following error message:

Error in FUN(X[[i]],...'v1' object didn´t found Calls <Anonimous>...<Anonimous> -> f -> scales_add_defaults -> lapply -> FUN

How can I add shade in my graph with multiple time series ?

CodePudding user response：

I think you get that error because you only provided data = multiple_time_series to your first line layer. Subsequent layers don't have access to that data (and hence column 'v1' etc.), because the global data, that you can supply as ggplot(data = ...) is absent.

You can simplify your plotting code if you reshape your data to have a long format, instead of a wide format.

Moreover, you won't need to construct an extra data.frame if you just want to annotate a particular rectangle in the graph: the annotate() function is for these types of cases.

library(dplyr)
library(ggplot2)

multiple_time_series <- read.csv(file = "https://raw.githubusercontent.com/rhozon/datasets/master/timeseries_diff.csv", head = TRUE, sep = ";") %>%
  mutate(
    dates = as.Date(dates, format = "%d/%m/%y")
  )

df <- tidyr::pivot_longer(multiple_time_series, -dates)

ggplot(df, aes(dates, value, colour = name))  
  geom_line()  
  annotate(
    geom = "rect",
    xmin = as.Date("2022-05-04"),
    xmax = as.Date("2022-05-05"),
    ymin = -Inf, ymax = Inf,
    fill = "blue", alpha = 0.5
  )

^{Created on 2022-05-07 by the reprex package (v2.0.1)}