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(...)

Arguments

...

ts-boxable time series, objects of class ts, xts, data.frame, data.table, or tibble. For scale_ functions, arguments passed to subfunctions.

title

title (optional)

subtitle

subtitle (optional)

ylab

ylab (optional)

base_family

base font family (can also be set via options)

base_size

base font size

Details

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).

See also

ts_plot(), for a simpler and faster plotting function. ts_dygraphs(), for interactive time series plots.

Examples

# 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()
# NOT RUN { 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 values") + theme_tsbox() + scale_color_tsbox() # }