如何使用ggfortify库在时间序列数据上实现构面网格功能? [英] How to implement the facet grid feature using the ggfortify library on a time series data?
问题描述
我正在使用 RStudio
,并且有一个名为 data1
的时间序列
数据( ts
对象)./p>
这是 data1
的外观:
一月二月三月四月五月五月六月七月八月九月十月十一月十二月2014 135 172 179 189 212 47 301 183 247 292 280 3252015 471 243 386 235 388 257 344 526 363 261 189 1732016 272 267 197 217 393 299 343 341 315 305 384 497
为绘制以上内容,我运行了以下代码:
图(data1)
我得到以下情节:
我想要一个按Year细分的图,我正在考虑实现在 ggplot2
中找到的 facet_grid
功能,但是由于我的数据是 ts
对象,我不能直接在其上使用 ggplot2
.
经过研究,我发现 ggfortify
库可用于 ts
对象.但是,我很难确定要使用 facet_grid
功能.
我的目标是从我的 ts
数据中绘制出类似下面的内容:
女性"和男性"将分别替换为2014、2015和2016年.X轴为月份(一月,二月,三月等),y轴为值在 ts
文件中.我更喜欢线图而不是点图.
我是在这里吗?还是有另一种方法来解决这个问题?
我们可以使用 ggplot2 :: autoplot
.我将以 AirPassengers
数据为例.
库(ggplot2)库(润滑)自动绘图(AirPassengers)+facet_grid(.〜year(Index),scales ="free_x")+scale_x_date(date_labels =%b")
I am using RStudio
and I have a time series
data (ts
object) called data1
.
Here is how data1
looks:
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2014 135 172 179 189 212 47 301 183 247 292 280 325
2015 471 243 386 235 388 257 344 526 363 261 189 173
2016 272 267 197 217 393 299 343 341 315 305 384 497
To plot the above, I have run this code:
plot (data1)
and I get the following plot:
I want to have a plot that is broken by Year and I was thinking of implementing the facet_grid
feature found in ggplot2
but since my data is a ts
object, I can't use ggplot2
directly on it.
After some research, I've found that the ggfortify
library works with ts
objects. However, I am having a hard time trying to figure out to use the facet_grid
feature with it.
My aim to is to plot something like below from my ts
data:
'Female'and 'Male' will be replaced by the Years 2014, 2015 and 2016. The X-axis will be the Months (Jan, Feb, Mar, and so on) and the y-axis will be the values in the ts
file . I would prefer a line plot rather than a dot plot.
Am I on the right track here or is there another way of approaching this problem?
We can use ggplot2::autoplot
. I will use AirPassengers
data as an example.
library(ggplot2)
library(lubridate)
autoplot(AirPassengers) +
facet_grid(. ~ year(Index), scales = "free_x") +
scale_x_date(date_labels = "%b")
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