EMD (Empirical Mode Decomposition) Algorithm Three
tags: EMD Research notes
Last time I got the R language to do emd on the value of one column and then output the combined graph of all imf. Next, I will try to process multiple columns of values.
#Draw the last IMF with the highest value in all provinces
# Read data
load <- data.frame(read.csv("Max.csv"))
# Take the logarithm length(load) load[,2:length(load)] <- log(load[,2:length(load)]) The title of the final table
title <- "The last IMF with the highest value in the province"
# emd loop Create a list for storing charts
plotlist <- list()
for (i in 2:length(load)) {
# emd calculation
emd <- emd(xt = load[, i], boundary = "wave", stoprule = "type5")
# Choose to draw IMF and save! ! ! Choose which curve to draw here
emdframe <- data.frame(Time = load[, "date"], EMD = emd$imf[, emd$nimf])
plotlist[[i - 1]] <- ggplot(data = emdframe, aes(x = Time, y = EMD)) + geom_hline(yintercept = 0, colour = "red") + geom_line(size = 0.5) + labs(x = paste("IMF", emd$nimf), y = colnames(load[i]))
}
# Draw a combination chart
totalplot <- cowplot::plot_grid(plotlist = plotlist, ncol = floor(sqrt(length(load) - 1)))
# now add the title
titleplot <- ggdraw() + draw_label(title, fontface = "bold")
finalplot <- plot_grid(titleplot, totalplot, ncol = 1, rel_heights = c(0.05, 1)) # rel_heights values control title margins
finalplot
#The original value of the highest value of the province
The last IMF with the highest value in all provinces
The remaining items with the highest value in all provinces
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