Time series analysis with R: Testing stuff with NetAtmo data
This article is originally published at https://rcrastinate.blogspot.com/I've got a NetAtmo weather station. One can download the measurements from its web interface as a CSV file. I wanted to give time series analysis with the extraction of seasonal components ('decomposition') a try, so I thought it would be a good opportunity to use the temperature measurements of my weather station. The data is available.
To make things visually a little easier, I only tried this with 14 days of temperature measurements, including all measurements from November 1st, 2015 till November 14th, 2015.
The raw data looks like this (on the x-axis, there is a running number of measurements):
data <- read.table("temps.csv", header = T, sep = "\t")
plot(data$temp, type = "l", bty = "n", ylab = "Temperature in °C")
In the last step, we decompose and plot the time series.
plot(stl(data$temp, s.window = "periodic"))
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