ContourPlot3D[f, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] produces a three-dimensional contour plot of f as a function of x, y, and z. ContourPlot3D[f == g, ...
WaveletListPlot[dwd] plots wavelet transform coefficients in the DiscreteWaveletData dwd.WaveletListPlot[dwd, wind] plots wavelet transform coefficients corresponding to the ...
BarChart3D[{y_1, y_2, ...}] makes a 3D bar chart with bar lengths y_1, y_2, ....BarChart3D[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a 3D bar chart with bar ...
BubbleChart3D[{{x_1, y_1, z_1, u_1}, {x_2, y_2, z_2, u_2}, ...}] makes a 3D bubble chart with bubbles at positions {x_i, y_i, z_i} with sizes u_i.BubbleChart3D[{..., ...
GenomeData["gene"] gives the DNA sequence for the specified gene on the reference human genome.GenomeData["gene", " property"] gives the value of the specified property for ...
ImageLevels[image] gives a list of pixel values and counts for each channel in image. ImageLevels[image, n] bins pixel values into n equally spaced levels.ImageLevels[image, ...
Mean
(Built-in Mathematica Symbol) Mean[list] gives the statistical mean of the elements in list. Mean[dist] gives the mean of the symbolic distribution dist.
When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. For a number of ...
ParametricPlot3D[{f_x, f_y, f_z}, {u, u_min, u_max}] produces a three-dimensional space curve parametrized by a variable u which runs from u_min to u_max. ...
The basis for a nonlinear conjugate gradient method is to effectively apply the linear conjugate gradient method, where the residual is replaced by the gradient. A model ...