r - Replicate the style of tisPlot in ggplot2 -


i want replicate style of tisplot, tis package, in ggplot2. having trouble creating line segments capping both left , right y-axes in ggplot2. have attached example code shows basic tisplot along have done match style in ggplot2. here know how solve last part of problem, namely, adding line segments @ tops of y-axes? thanks. 

library(tis) library(tidyverse) library(lubridate)  set.seed(5)  # make example time-series data firsttis <- tis(cumsum(rnorm(120)), start = c(1996, 1), freq = 12)  tisplot(firsttis)  # put example times-series data dataframe df <- data_frame(   date = firsttis %>% time() %>% date_decimal() %>% date(),     firsttis = firsttis %>% as.numeric()   )   ggplot(df) +   geom_line(aes(x = date, y = firsttis)) +   theme_classic() +    theme(     axis.ticks.length = unit(- 7, "pt"),                                                    axis.text.x = element_text(margin = margin(t = 10, b = 0, unit =  "pt")), axis.text.y = element_text(margin = margin(r = 10, l = 0, unit = "pt"),  color = "white"),      axis.text.y.right = element_text(margin = margin(r = 0,  l = 10, unit =  "pt"), color = "black") ) +    scale_y_continuous(sec.axis = dup_axis(name = "")) +

updated solution:

v3

you can specify y-axis limits in coord_cartesian(), & set multiplicative / additive expansion constants y-axis 0. segments added simulate appearance of longer ticks @ top. breaks can set dynamically using pretty() base package, manual adjustment in n if default settings return many / few breaks:

date.extension <- diff(range(df$date))*0.02 y.breaks <- pretty(df$firsttis, n = 4) # larger n return more breaks y.range <- range(y.breaks)  > date.extension time difference of 72.46 days > y.breaks [1] -10  -5   0   5  10 > y.range [1] -10  10

plot:

p <- ggplot(df) +    # add horizontal line segments aligned y-axis upper limit   annotate("segment", y = max(y.range), yend = max(y.range),            x = min(df$date)-date.extension,             xend = min(df$date) + date.extension) +   annotate("segment", y = max(y.range), yend = max(y.range),            x = max(df$date)-date.extension,             xend = max(df$date) + date.extension) +    geom_line(aes(x = date, y = firsttis)) +   theme_classic() +   theme(     axis.ticks.length = unit(- 7, "pt"),     axis.text.x = element_text(margin = margin(t = 10, b = 0, unit = "pt")),     axis.text.y = element_text(margin = margin(r = 10, l = 0, unit = "pt"), color = "white"),          axis.text.y.right = element_text(margin = margin(r = 0,  l = 10, unit = "pt"), color = "black")   ) +    scale_x_date(expand = c(0, 0)) +   scale_y_continuous(name = "",                       breaks = y.breaks,                      expand = c(0, 0),             # no expansion beyond specified limits                      sec.axis = dup_axis()) +   coord_cartesian(xlim = c(min(df$date)-date.extension,                             max(df$date)+date.extension),                   ylim = y.range) p

(optional) prevent line segments @ top being clipped off:

gt <- ggplotgrob(p) gt$layout$clip[gt$layout$name=="panel"] <- "off" grid::grid.draw(gt)

note line segments coded extend 2% of total date range (~72 days in example) in either direction, min(df$date) & max(df$date). if x-axis range changes drastically (e.g. 20 years 1 year), should still work.


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