plot_ts: Plot time series !PLEASE USE plot_dts!
In QuantTools: Enhanced Quantitative Trading Modelling

Description Usage Arguments Details See Also Examples

Plot time series !PLEASE USE plot_dts!

plot_ts(dt, type = "auto", col = "auto", lty = par("lty"),
  lwd = par("lwd"), pch = par("pch"), legend = c("topright", "topleft",
  "bottomright", "bottomleft", "n"), last_values = TRUE, main = "",
  ylim = "auto", xlim = "auto", time_range = "auto",
  resolution = "auto", log = par("ylog"), mar = par("mar"),
  xaxt = par("xaxt"), add = par("new"))

t_to_x(t)

`dt`	`data.table` with date/time index represented by first column. If OHLC detected then only candles plotted. Use `lines` for the rest of data
`type`	type vector or single value. Same as in `plot` but `'candle'` supports. Default is `'l'`. `'h'` triggers adding zero to plot range
`col`	color vector or single value. Default is `'auto'` so colors generated automatically
`lty, lwd, pch`	parameters vectors or single values. Same as in `plot`
`legend`	position of plot legend. Supported positions are `'topright','topleft','bottomright','bottomleft'` or `'n'` to hide legend
`last_values`	whether to add last values marks to the right of the plot. If vector specified marks added only for columns specified in vector
`main`	title of the plot. Default is `''`
`ylim`	y range of data to plot
`xlim`	x range of data to plot
`time_range`	time range in format `'HH:MM:SS/HH:MM:SS'`
`resolution`	frequency of time marks on time axis. Supported resolutions are `'auto','minute','hour','day','month','year','years'`. Default is `'auto'`
`log`	should y axis be in logarithmic scale?
`mar`	same as in `par`
`xaxt`	same as in `par`
`add`	add to existing plot?
`t`	date/time vector to be converted to plot x coordinates

Plots time series each represented by columns of times_series on single plot.
As for OHLC series, only one can be plotted and should be passed as times_series with 4 columns 'open','high','low','close'.

Other graphical functions: add_last_values, add_legend, distinct_colors, empty_plot, hist_dt, lines_ohlc, lines_stacked_hist, multi_heatmap, plot_table

data( ticks )

time_series = to_candles( ticks, 60 * 10 )

plot_ts( time_series[ time %bw% '2016-05-13', list( time, open, high, low, close ) ] )
plot_ts( time_series[ time %bw% '2016-05-13', list( time, volume = volume / 1e6 )  ] , type = 'h' )
plot_ts( time_series[ time %bw% '2016-05', list( time, close ) ] )
plot_ts( time_series[ , list( time, close ) ] )



mar = par( 'mar' )
par( mar = c( 0, 4, 0, 4 ), xaxt = 'n' )
layout ( matrix( 1:(3 + 2) ), heights = c( 1, 4, 2, 2, 1 ) )
  empty_plot()
  plot_ts( time_series[ , list( time, open, high, low, close ) ] )
  plot_ts( time_series[ , list( time, close ) ] )
  par( xaxt = 's' )
  plot_ts( time_series[ , list( time, volume = volume / 1e6 ) ], type = 'h' )
  empty_plot()
par( mar = mar )
layout( matrix(1) )