Recently I discovered the function geom_table()
, from ggpmisc package, which allows you to put a table inside a plot. But I don't know how to put different tables into a grid plot.
I have this df and plot:
library(lubridate)
library(ggplot2)
library(ggpmisc)
Date <- c("2010-01-28", "2010-02-28", "2010-03-28",
"2010-04-28", "2010-05-28", "2010-06-28",
"2010-07-28", "2010-08-28", "2010-09-28",
"2010-10-28")
Date <- as_date(Date)
Country <- rep("Japan", 10)
A <- runif(10, min=30, max=90)
B <- runif(10, min = 1, max = 15)
df <- data.frame(Date, Country, A, B)
df %>% pivot_longer(-c(Date, Country)) %>%
ggplot(aes(x=Date,y=value,group=1,color=Country))+
geom_line(size = 0.9) +
facet_grid(name~Country, scales = "free", switch = "y")
I also have these two tables, tableA and tableB:
Time <- c("Today", "Yesterday", "One week ago")
Value_A <- 10:12
Value_B <- 1:3
tableA <- data.frame(Time, Value_A)
tableB <- data.frame(Time, Value_B)
How I put tableA in the top graph and tableB in the bottom graph?
I appreciate it if someone can help :)
You need to create a little data frame that hosts your tableA
and tableB
in a list column:
d <- tibble(x = c(0.95, 0.95), y = c(0.95, 0.95),
name = c("A", "B"), tb = list(tableA, tableB))
df %>% pivot_longer(-c(Date, Country)) %>%
ggplot(aes(x=Date,y=value,group=1,color=Country))+
geom_line(size = 0.9) +
geom_table_npc(data = d, aes(npcx = x, npcy = y, label = tb)) +
facet_grid(name~Country, scales = "free", switch = "y")