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)
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