[英]Easiest way to create an irregular time series graph (R? GGPLOT? ITS?)
I'm a graphic designer who is trying to use R to create graphs that are too complicated for Excel.我是一名平面设计师,正在尝试使用 R 创建对 Excel 来说过于复杂的图形。 I'm specifically trying to create an irregular time series step chart.我特别想创建一个不规则的时间序列阶梯图。 I've had no problems creating a regular time series chart, but for some reason, the irregular dates are throwing everything off.我在创建常规时间序列图表时没有遇到任何问题,但由于某种原因,不规则的日期会影响一切。
I'm starting with a basic text file with two columns of data:我从一个包含两列数据的基本文本文件开始:
01-04-1940 4
05-29-1963 35
12-02-2002 24
I've loaded the data using我已经使用加载数据
d <- read.delim("file.txt", header = TRUE)
and I've converted the first column in Unix time using我已经使用 Unix 时间转换了第一列
d$date <- as.Date(d$date, format = "%m-%d-%Y")
But at this point, I can't find any more information anywhere on how to proceed.但在这一点上,我无法在任何地方找到更多关于如何进行的信息。 I've seen the R package "ITS," But I cannot find any documentation on it beyond technical descriptions of the classes involved.我看过 R package “ITS”,但除了所涉及类的技术描述之外,我找不到任何关于它的文档。
I'd much appreciate it if someone with some experience in R could point out the few lines of code I need to create this graph.如果在 R 方面有一定经验的人能指出创建此图表所需的几行代码,我将不胜感激。 Thanks!谢谢!
ggplot
deals quite nicely with data in date format. ggplot
很好地处理日期格式的数据。 Here are some suggestions:以下是一些建议:
d <- data.frame(
date = c("01-04-1940", "05-29-1963", "12-02-2002"),
value = c(4, 35, 24)
)
d$date <- as.Date(d$date, format = "%m-%d-%Y")
ggplot(d, aes(x=date, y=value)) + geom_step(colour="blue")
ggplot(d, aes(x=date, y=value)) + geom_line(colour="red")
I would use xts/zoo.我会使用 xts/zoo。 They both handle irregular time series easily.他们都可以轻松处理不规则的时间序列。
z <- zoo(d[,2], d[,1])
plot(z)
plot(z, type="s")
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