creates timeseries in r

To create a time series in R, we first need to have a dataset that contains date/time information and the corresponding values. We can create a time series object in R by converting a data frame or matrix that is properly formatted.

Here's an example of creating a time series object in R using the built-in AirPassengers dataset:

main.r
# Load the AirPassengers dataset
data(AirPassengers)

# Convert the AirPassengers dataset into a time series object
air_ts <- ts(AirPassengers, start = c(1949, 1), frequency = 12)

# Print the first six rows of the time series object
head(air_ts)
247 chars
9 lines

In the above example, we first load the AirPassengers dataset that contains monthly airline passenger numbers from 1949 to 1960. Next, we convert the dataset into a time series object using the ts() function. We specify the start date as January 1949 (start = c(1949, 1)) and the frequency as 12 to indicate monthly data.

We can then use various functions and packages to manipulate and visualize our time series data, including ggplot2 for creating plots, lubridate for manipulating dates, and forecast for time series forecasting.