LiftingWaveletTransform[data] gives the lifting wavelet transform (LWT) of an array of data.LiftingWaveletTransform[data, wave] gives the lifting wavelet transform using the ...
MixtureDistribution[{w_1, ..., w_n}, {dist_1, ..., dist_n}] represents a mixture distribution whose CDF is given as a sum of the CDFs of the component distributions dist_i, ...
StationaryWaveletPacketTransform[data] gives the stationary wavelet packet transform (SWPT) of an array of data.StationaryWaveletPacketTransform[data, wave] gives the ...
TradingChart[{{date_1, {open_1, high_1, low_1, close_1, volume_1}}, ...}] makes a chart showing prices and volume for each date. TradingChart[{" name", daterange}] makes a ...
TransformedDistribution[expr, x \[Distributed] dist] represents the transformed distribution of expr where the random variable x follows the distribution ...
VectorPlot[{v_x, v_y}, {x, x_min, x_max}, {y, y_min, y_max}] generates a vector plot of the vector field {v_x, v_y} as a function of x and y. VectorPlot[{{v_x, v_y}, {w_x, ...
WaveletMatrixPlot[dwd] plots the basis tree of wavelet matrix coefficients in the DiscreteWaveletData dwd.WaveletMatrixPlot[dwd, r] plots coefficients up to refinement level ...
KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...
PieChart[{y_1, y_2, ...}] makes a pie chart with sector angle proportional to y_1, y_2, ....PieChart[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a pie chart with ...
PointFigureChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a point and figure chart with prices p_i at date date_i.PointFigureChart[{" name", daterange}] makes a point and ...