Creates an emperical cumulative distribution function (ECDF) overlaid with a cumulative distribution function (CDF)
chart.ECDF(R, main = "Empirical CDF", xlab = "x", ylab = "F(x)", colorset = c("black", "#005AFF"), lwd = 1, lty = c(1, 1), element.color = "darkgray", xaxis = TRUE, yaxis = TRUE, ...)
R | an xts, vector, matrix, data frame, timeSeries or zoo object of asset returns |
---|---|
main | set the chart title, same as in |
xlab | set the x-axis label, same as in |
ylab | set the y-axis label, same as in |
colorset | color palette to use, defaults to c("black", "\#005AFF"), where first value is used to color the step function and the second color is used for the fitted normal |
lwd | set the line width, same as in |
lty | set the line type, same as in |
element.color | specify the color of chart elements. Default is "darkgray" |
xaxis | if true, draws the x axis |
yaxis | if true, draws the y axis |
… | any other passthru parameters to |
The empirical cumulative distribution function (ECDF for short) calculates
the fraction of observations less or equal to a given value. The resulting
plot is a step function of that fraction at each observation. This function
uses ecdf
and overlays the CDF for a fitted normal function as well.
Inspired by a chart in Ruppert (2004).
Ruppert, David. Statistics and Finance, an Introduction. Springer. 2004. Ch. 2 Fig. 2.5
plot
, ecdf
data(edhec) chart.ECDF(edhec[, 1, drop=FALSE])