tsPlotMP: Time Series Plots
In sangeeuw/factorAnalytics: Factor Analytics

Description Usage Arguments Author(s) Examples

Plot time series with specific plotting parameters

tsPlotMP(ret, add.grid = FALSE, layout = NULL, type = "l",
  yname = "RETURNS (%)", scaleType = "free", stripLeft = TRUE,
  main = NULL, lwd = 1, stripText.cex = 1, axis.cex = 1,
  color = "black", zeroLine = TRUE)

`ret`	an time series exposure/return object
`add.grid`	logical varible.If 'TRUE', type = c('l', 'g'); If 'FALSE', type = c('l')
`layout`	layout is a numeric vector of length 2 or 3 giving the number of columns, rows, and pages (optional) in a multipanel display.
`type`	character. type of the plot; 'l' denotes a line, 'p' denotes a point, and 'b' and 'o' both denote both together.deafault is 'l'.
`yname`	character or espression giving label(s) for the y-axis
`scaleType`	scaleType controls if use a same scale of y-axis, choose from c('same', 'free')
`stripLeft`	logical variable to choose the position of strip, 'TRUE' for drawing strips on the left of each panel, 'FALSE' for drawing strips on the top of each panel
`main`	Typically a character string or expression describing the main title.
`lwd`	The line width, a positive number, defaulting to 1
`stripText.cex`	a number indicating the amount by which strip text in the plot(s) should be scaled relative to the default. 1=default, 1.5 is 50% larger, 0.5 is 50% smaller, etc.
`axis.cex`	a number indicating the amount by which axis in the plot(s) should be scaled relative to the default. 1=default, 1.5 is 50% larger, 0.5 is 50% smaller, etc.
`color`	A specification for the default plotting color. Default is black.
`zeroLine`	logical varible to choose add a dotted horizontal line at the zero vertical distance

Douglas Martin, Lingjie Yi

#Load the data
data("stocks145scores6")
dat = stocks145scores6
returns = tapply(dat$RETURN,list(dat$DATE,dat$TICKER),I)
ret = xts(returns[,1:5],as.yearmon(rownames(returns)))

#generate return time series plot               
tsPlotMP(ret, color = 'Blue')
tsPlotMP(ret, scaleType = "same", zeroLine = FALSE)
tsPlotMP(ret, stripLeft = FALSE, main = 'Time Series Plot')