R中的时间序列 [英] Time series in R

问题描述

我正在电子表格中跟踪我的体重，但我想通过使用 R 来改善体验.我试图在 R 中找到有关时间序列分析的一些信息，但没有成功.

I am tracking my body weight in a spread sheet but I want to improve the experience by using R. I was trying to find some information about time series analysis in R but I was not successful.

我这里的数据格式如下:

The data I have here is in the following format:

date -> weight  -> body-fat-percentage  -> water-percentage

例如

10/08/09 -> 84.30 -> 18.20 -> 55.3

我想做什么

plot 权重和指数移动平均随时间变化

plot weight and exponential moving average against time

我怎样才能做到这一点?

How can I achieve that?

推荐答案

使用 x <- read.csv(filename) 将数据读入 R.确保日期作为字符类输入，权重作为数字输入.
然后使用以下内容:

Read the data into R using x <- read.csv(filename). Make sure the dates come in as character class and weight as numeric.
Then use the following:

require(zoo)
require(forecast) # Needed for the ses function
x$date <- as.Date(x$date,"%m/%d/%Y") # Guessing you are using the US date format
x$weight <- zoo(x$weight,x$date) # Allows for irregular dates
plot(x$weight, xlab="Date", ylab="Weight") # Produce time plot
ewma <- as.vector(fitted(ses(ts(x$weight)))) # Compute ewma with parameter selected using MLE
lines(zoo(ewma,x$date),col="red") # Add ewma line to plot

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