Create a tibble-like tsd (time-series data) object from observed data and corresponding dates.

This function takes observations and the corresponding date vector and converts it into a tsd object, which is a time series data structure that can be used for time series analysis.

Usage

to_time_series(observation, time, time_interval = c("day", "week", "month"))

Arguments

observation: A numeric vector containing the observations.
time: A date vector containing the corresponding dates.
time_interval: A character vector specifying the time interval. Choose between 'day', 'week', or 'month'.

Value

A tsd object containing:

'time': The time point for for when the observation is observed.
'observation': The observed value at the time point.

Examples

# Create a `tsd` object from daily data
daily_tsd <- to_time_series(
  observation = c(10, 15, 20, 18),
  time = as.Date(
    c("2023-01-01", "2023-01-02", "2023-01-03", "2023-01-04")
  ),
  time_interval = "day"
)

# Create a `tsd` object from weekly data
weekly_tsd <- to_time_series(
  observation = c(100, 120, 130),
  time = as.Date(
    c("2023-01-01", "2023-01-08", "2023-01-15")
  ),
  time_interval = "week"
)

# Create a `tsd` object from monthly data
monthly_tsd <- to_time_series(
  observation = c(500, 520, 540),
  time = as.Date(
    c("2023-01-01", "2023-02-01", "2023-03-01")
  ),
  time_interval = "month"
)