Create an XTS Object from Resampled Signals

This function takes multiple signals and their corresponding sample rates, resamples the signals to the highest sample rate among them, and creates an xts (eXtensible Time Series) object with the resampled signals aligned according to a provided start time.

create_xts(signals, sample_rates, start_time)

Arguments

signals: A list of numeric vectors representing the signals. Each signal in the list should correspond to one sample rate in the `sample_rates` argument.
sample_rates: A numeric vector containing the sample rates for each signal in `signals`. The length of `sample_rates` must match the length of `signals`.
start_time: The start time for the xts object. This can be a character string or an object that can be converted to POSIXct. The time is assumed to be in UTC.

Value

An xts object containing the resampled signals, with each column representing one of the original signals, resampled to the highest sample rate among them. The xts object's index starts from `start_time` and increments at a rate of 1 divided by the maximum sample rate.

Examples

signals <- list(rnorm(100), rnorm(100))
sample_rates <- c(1, 2)
start_time <- "2020-01-01 00:00:00"
xts_data <- create_xts(signals, sample_rates, start_time)
plot(xts_data)