问题
I have the following data frame dt(head,6)
:
I need to create a graph in which I have the years (2015, 2016, 2017, 2018, 2019) on the x-axis , different columns (W15, W16, W17, W18, W19 - each one relates to one year) on the y-axis. They are all should be grouped by the column TEAM.
I tried using ggplot2
to no avail.
回答1:
You need to convert your data from wide to long and then use ggplot
. Look below;
library(tidyverse)
dt %>%
pivot_longer(., -Team, values_to = "W", names_to = "Year") %>%
mutate(Year = as.integer(gsub("W", "20", Year))) %>%
ggplot(., aes(x=Year, y=W, group=Team)) +
geom_line(aes(color=Team))
Data:
dt <- structure(list(Team = c("AC", "AF", "AK", "AL", "AA&M", "Alst", "Alb"),
W15 = c(7L, 12L, 20L, 18L, 8L, 17L, 24L),
W16 = c(9L, 12L, 25L, 18L, 10L, 12L, 23L),
W17 = c(13L, 12L, 27L, 19L, 2L, 8L, 21L),
W18 = c(16L, 12L, 14L, 20L, 3L, 8L, 22L),
W19 = c(27L, 14L, 17L, 18L, 5L, 12L, 12L)),
class = "data.frame", row.names = c(NA, -7L))
# Team W15 W16 W17 W18 W19
# 1 AC 7 9 13 16 27
# 2 AF 12 12 12 12 14
# 3 AK 20 25 27 14 17
# 4 AL 18 18 19 20 18
# 5 AA&M 8 10 2 3 5
# 6 Alst 17 12 8 8 12
# 7 Alb 24 23 21 22 12
回答2:
Create a zoo object z
from t(dt[-1])
and the times from the numeric part of the names). Use dt$TEAM as its columnn names. Finally use autoplot.zoo
to plot it using ggplot2. Remove facet=NULL
if you prefer a separate panel for each series.
library(ggplot2)
library(zoo)
z <- zoo(t(dt[-1]), as.numeric(sub("W", "", names(dt)[-1])))
names(z) <- dt$TEAM
autoplot(z, facet = NULL) + scale_x_continuous(breaks = time(z))
Note
Suppose this input data:
set.seed(123)
dt <- data.frame(TEAM = letters[1:5], W15 = rnorm(5), W16 = rnorm(5), W17 = rnorm(5))
来源:https://stackoverflow.com/questions/59635232/plot-time-series-with-years-in-different-columns