View source: R/calculate_cross_correlations.R
calculate_cross_correlations | R Documentation |
Function to calculate cross-correlations between two vectors and return correlation statistics by lags.
calculate_cross_correlations(x, y, max_lag = 50, optimum_only = FALSE)
x , y |
Numeric vectors. |
max_lag |
Maximum lag to test. |
optimum_only |
Should the return only include the best lag? |
Tibble.
# Build vectors
# COVID-19 cases
x <- c(
0.04, 0.04, 0.04, 0.04, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.04,
0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.05, 0.05, 0.06, 0.06, 0.07,
0.08, 0.1, 0.11, 0.13, 0.15, 0.15, 0.18, 0.21, 0.24, 0.27, 0.31,
0.33, 0.35, 0.4, 0.45, 0.51, 0.57, 0.64, 0.68, 0.7, 0.79, 0.86,
0.91, 0.95, 0.98, 0.99, 0.99, 1, 1, 0.99, 0.97, 0.94, 0.92, 0.91,
0.88, 0.84, 0.8, 0.76, 0.73, 0.72, 0.7, 0.67, 0.63, 0.6, 0.58,
0.55, 0.54, 0.53, 0.51, 0.5, 0.49, 0.48, 0.47, 0.47, 0.47, 0.46,
0.46, 0.46, 0.47, 0.48, 0.48, 0.48, 0.49, 0.5, 0.52, 0.52, 0.52,
0.53, 0.53, 0.53, 0.54, 0.54, 0.53, 0.52, 0.52, 0.52, 0.51, 0.5,
0.5, 0.47, 0.43, 0.42, 0.42, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41,
0.41
)
# COVID-19 deaths
y <- c(
0.01, 0.02, 0.02, 0.02, 0.02, 0.03, 0.03, 0.03, 0.03, 0.03,
0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.02, 0.03, 0.03, 0.02, 0.02,
0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02,
0.02, 0.02, 0.02, 0.02, 0.02, 0.03, 0.03, 0.04, 0.05, 0.05, 0.06,
0.06, 0.07, 0.09, 0.1, 0.12, 0.15, 0.18, 0.21, 0.23, 0.24, 0.28,
0.32, 0.37, 0.39, 0.45, 0.51, 0.57, 0.63, 0.7, 0.73, 0.81, 0.83,
0.87, 0.92, 0.93, 0.94, 0.98, 0.97, 0.99, 0.97, 0.98, 0.98, 1,
0.96, 0.95, 0.95, 0.94, 0.96, 0.97, 0.94, 0.92, 0.94, 0.95, 0.96,
0.95, 0.95, 0.95, 0.96, 0.94, 0.95, 0.92, 0.89, 0.9, 0.89, 0.89,
0.91, 0.89, 0.93, 0.96, 0.95, 0.96, 0.96, 0.97, 0.96, 0.97, 0.95,
0.95, 0.94, 0.94, 0.89, 0.9, 0.89, 0.87, 0.84, 0.84, 0.81, 0.83,
0.79, 0.73
)
# Calculate lags
calculate_cross_correlations(x, y, max_lag = 30)
calculate_cross_correlations(x, y, max_lag = 30, optimum_only = TRUE)
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