# density绘图 z1 = d[date < date_TP, value] z2 = d[date >= date_TP, value] p = ggplot(data.table(z = z1), aes(z)) + geom_density() + geom_density(data = data.table(z = z2), color = "red") write_fig(p, 'Rplot.pdf', 10, 5, show=F) # write_fig({ # # plot(ecdf(z1)) # # plot(ecdf(z2), add = TRUE, col = "red") # plot(den1) # plot(den2, add = TRUE, col = "red") # }, 'Rplot.pdf', 10, 5, show = F)
#| vscode: {languageId: r} ## 其中一个站点 Ipaper::set_jupyter(7, 4, 200) sitename <- 50525L date_TP <- info_TP[site == sitename, TP] # d = df_mon[site == sitename, ] d <- df_org[site == sitename, ] nyear <- 5 d_adj_mon <- cpt_QM(d$value, d$date, date_TP, nyear = nyear, methods = c("ecdf", "norm")) %>% get_yearly() pdat <- melt(d_adj_mon[, -2], c("year")) p <- ggplot(pdat, aes(year, value, color = variable)) + geom_vline(xintercept = year(date_TP), color = "red", linetype = 2, linewidth = 1) + geom_line(data = d_adj_mon, aes(y = base), color = "black") + geom_line() + labs(color = NULL) + theme( legend.position = "top", legend.margin = margin(t = 0, b = -8) ) p
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