R中不同组的时间序列多图
Time series multiple plot for different group in R
我有一个包含多个变量(大约 50 个)的大型数据框,第一列为 date
,第二列为 id
。
我的数据大致是这样的:
df <- data.frame(date = c("01-04-2001 00:00","01-04-2001 00:00","01-04-2001 00:00",
"01-05-2001 00:00","01-05-2001 00:00","01-05-2001 00:00",
"01-06-2001 00:00","01-06-2001 00:00","01-06-2001 00:00",
"01-07-2001 00:00","01-07-2001 00:00","01-07-2001 00:00"),
id = c(1,2,3,1,2,3,1,2,3,1,2,3), a = c(1,2,3,4,5,6,7,8,9,10,11,12),
b = c(2,2.5,3,3.2,4,4.6,5,5.6,8,8.9,10,10.6))
我想在同一个变量图中分别为所有三个 id 绘制时间序列图,a
和 b
在不同的图中。
我试过 ggplot
但没用。请帮助我
你的意思是这样的吗?
library(reshape)
library(lattice)
df2 <- melt(df, id.vars = c("date", "id"), measure.vars = c("a", "b"))
xyplot(value ~ date | variable, group = id, df2, t='l')
附录
# The following is from a comment by jbaums.
# It will create a single plot/file for each variable of df2
png('plots%02d.png')
xyplot(value ~ date | variable, group = id, df2, t='l', layout=c(1, 1),
scales=list(alternating=FALSE, tck=1:0))
dev.off()
您还可以将 relation='free'
添加到 scales
,以便为每个绘图单独计算 y 轴限制。
以下是如何在 ggplot 中执行此操作,使用 tidyr 包以正确的格式获取它:
library(ggplot2)
library(tidyr)
library(dplyr)
df <- data.frame(date = c("01-04-2001 00:00","01-04-2001 00:00","01-04-2001 00:00",
"01-05-2001 00:00","01-05-2001 00:00","01-05-2001 00:00",
"01-06-2001 00:00","01-06-2001 00:00","01-06-2001 00:00",
"01-07-2001 00:00","01-07-2001 00:00","01-07-2001 00:00"),
id = c(1,2,3,1,2,3,1,2,3,1,2,3), a = c(1,2,3,4,5,6,7,8,9,10,11,12),
b = c(2,2.5,3,3.2,4,4.6,5,5.6,8,8.9,10,10.6))
然后使用dplyr的group_by和do函数,我们可以保存多个图
df %>%
gather(variable, value, -date, -id) %>%
mutate(id = factor(id)) %>%
group_by(variable) %>%
do(
qplot(data = ., x = date, y = value, geom = "line", group = id, color = id, main = paste("variable =", .$variable)) +
ggsave(filename = paste0(.$variable, ".png")
)
)
编辑: 阅读评论后,也许您应该尝试这样的操作:
library(tidyr)
df2 <- gather(df, variable, value, -date, -id)
vars <- unique(df2$variable)
library(ggplot2)
for (i in 1:length(vars)) {
ggplot() +
geom_line(data = subset(df2, variable == vars[[i]]),
aes(date, value, group = id, color = factor(id))) +
ylab(as.character(vars[[i]])) +
ggsave(file = paste0(vars[[i]], ".png"))
}
这应该为数据框中的每个变量保存一个 PNG(并将 根据您的要求将每个图的 y 标签更改为变量名称)
我有一个包含多个变量(大约 50 个)的大型数据框,第一列为 date
,第二列为 id
。
我的数据大致是这样的:
df <- data.frame(date = c("01-04-2001 00:00","01-04-2001 00:00","01-04-2001 00:00",
"01-05-2001 00:00","01-05-2001 00:00","01-05-2001 00:00",
"01-06-2001 00:00","01-06-2001 00:00","01-06-2001 00:00",
"01-07-2001 00:00","01-07-2001 00:00","01-07-2001 00:00"),
id = c(1,2,3,1,2,3,1,2,3,1,2,3), a = c(1,2,3,4,5,6,7,8,9,10,11,12),
b = c(2,2.5,3,3.2,4,4.6,5,5.6,8,8.9,10,10.6))
我想在同一个变量图中分别为所有三个 id 绘制时间序列图,a
和 b
在不同的图中。
我试过 ggplot
但没用。请帮助我
你的意思是这样的吗?
library(reshape)
library(lattice)
df2 <- melt(df, id.vars = c("date", "id"), measure.vars = c("a", "b"))
xyplot(value ~ date | variable, group = id, df2, t='l')
附录
# The following is from a comment by jbaums.
# It will create a single plot/file for each variable of df2
png('plots%02d.png')
xyplot(value ~ date | variable, group = id, df2, t='l', layout=c(1, 1),
scales=list(alternating=FALSE, tck=1:0))
dev.off()
您还可以将 relation='free'
添加到 scales
,以便为每个绘图单独计算 y 轴限制。
以下是如何在 ggplot 中执行此操作,使用 tidyr 包以正确的格式获取它:
library(ggplot2)
library(tidyr)
library(dplyr)
df <- data.frame(date = c("01-04-2001 00:00","01-04-2001 00:00","01-04-2001 00:00",
"01-05-2001 00:00","01-05-2001 00:00","01-05-2001 00:00",
"01-06-2001 00:00","01-06-2001 00:00","01-06-2001 00:00",
"01-07-2001 00:00","01-07-2001 00:00","01-07-2001 00:00"),
id = c(1,2,3,1,2,3,1,2,3,1,2,3), a = c(1,2,3,4,5,6,7,8,9,10,11,12),
b = c(2,2.5,3,3.2,4,4.6,5,5.6,8,8.9,10,10.6))
然后使用dplyr的group_by和do函数,我们可以保存多个图
df %>%
gather(variable, value, -date, -id) %>%
mutate(id = factor(id)) %>%
group_by(variable) %>%
do(
qplot(data = ., x = date, y = value, geom = "line", group = id, color = id, main = paste("variable =", .$variable)) +
ggsave(filename = paste0(.$variable, ".png")
)
)
编辑: 阅读评论后,也许您应该尝试这样的操作:
library(tidyr)
df2 <- gather(df, variable, value, -date, -id)
vars <- unique(df2$variable)
library(ggplot2)
for (i in 1:length(vars)) {
ggplot() +
geom_line(data = subset(df2, variable == vars[[i]]),
aes(date, value, group = id, color = factor(id))) +
ylab(as.character(vars[[i]])) +
ggsave(file = paste0(vars[[i]], ".png"))
}
这应该为数据框中的每个变量保存一个 PNG(并将 根据您的要求将每个图的 y 标签更改为变量名称)