basicStats Computes an overview of basic statistical values,
seriesPlot Returns a tailored return series plot,
cumulatedPlot Returns a tailored cumulatede return plot,
histPlot Returns a tailored histogram plot,
densityPlot Returns a tailored kernel density estimate plot,
qqnormPlot Returns a tailored Normal quantile-quantile plot,
qqnigPlot Returns a tailored NIG quantile-quantile plot,
boxPlot Returns a side-by-side standard box plot,
boxPercentilePlot Returns a side-by-side box-percentile plot,
returnSeriesGUI Opens a GUI for return series plots.}basicStats(x, ci = 0.95)seriesPlot(x, labels = TRUE, type = "l", col = "steelblue",
ylab = "Returns", rug = TRUE, ...)
cumulatedPlot(x, index = 100, labels = TRUE, type = "l", col = "steelblue",
ylab = "Index", rug = TRUE, ...)
histPlot(x, labels = TRUE, col = "steelblue", add.fit = TRUE, rug = TRUE,
skipZeros = TRUE, ...)
densityPlot(x, labels = TRUE, col = "steelblue", add.fit = TRUE,
rug = TRUE, skipZeros = TRUE, ...)
qqnormPlot(x, labels = TRUE, col = "steelblue", rug = TRUE,
scale = TRUE, ...)
qqnigPlot(x, labels = TRUE, col = "steelblue", rug = TRUE, ...)
boxPlot(x, col = "steelblue", ...)
boxPercentilePlot(x, col = "steelblue", ...)
returnSeriesGUI(x)
labels=TRUE.index*exp(colCumsums(x)).plot help page."timeSeries" or any other object which
can be transformed by the function as.timeSeries into an
object of class timeSeries.basicsStats
returns data frame with the following entries and row names:
nobs, NAs, Minimum, Maximum , 1. Quartile, 3. Quartile,
Mean, Median, Sum, SE Mean, LCL Mean, UCL Mean, Variance,
Stdev, Skewness, Kurtosis.
*Plot
For the *Plot functions, beside the plot no values are
returned.
returnSeriesGUI
For the returnSeriesGUI function, beside the graphical
user interface no values are returned.## basicStats -
# Simulated Monthly Return Data:
tS = timeSeries(matrix(rnorm(12)), timeCalendar())
# ... must be univariate:
basicStats(tS)Run the code above in your browser using DataLab