ts_ggplot() has the same syntax and produces a similar plot as ts_plot(),
but uses the ggplot2 graphic system, and
can be customized. With theme_tsbox() and scale_color_tsbox(), the output
of ts_ggplot has a similar look and feel.
ts_ggplot(..., title, subtitle, ylab = "") theme_tsbox(base_family = getOption("ts_font", ""), base_size = 12) colors_tsbox() scale_color_tsbox(...) scale_fill_tsbox(...)
| ... | ts-boxable time series, objects of class |
|---|---|
| title | title (optional) |
| subtitle | subtitle (optional) |
| ylab | ylab (optional) |
| base_family | base font family (can also be set via |
| base_size | base font size |
Both ts_plot() and ts_ggplot() combine multiple ID dimensions into a
single dimension. To plot multiple dimensions in different shapes, facets,
etc., use standard ggplot (see examples).
ts_plot(), for a simpler and faster plotting function.
ts_dygraphs(), for interactive time series plots.
# \donttest{ # using the ggplot2 graphic system p <- ts_ggplot(total = ldeaths, female = fdeaths, male = mdeaths) p# with themes for the look and feel of ts_plot() p + theme_tsbox() + scale_color_tsbox()# also use themes with standard ggplot suppressMessages(library(ggplot2)) df <- ts_df(ts_c(total = ldeaths, female = fdeaths, male = mdeaths)) ggplot(df, aes(x = time, y = value)) + facet_wrap("id") + geom_line() + theme_tsbox() + scale_color_tsbox()# } if (FALSE) { library(dataseries) dta <- ds(c("GDP.PBRTT.A.R", "CCI.CCIIR"), "xts") ts_ggplot(ts_scale(ts_span( ts_c( `GDP Growth` = ts_pc(dta[, 'GDP.PBRTT.A.R']), `Consumer Sentiment Index` = dta[, 'CCI.CCIIR'] ), start = "1995-01-01" ))) + ggplot2::ggtitle("GDP and Consumer Sentiment", subtitle = "normalized") + theme_tsbox() + scale_color_tsbox() }