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統計量プロット

データのパターンと傾向の表示

メモ

MuPAD® Notebook は将来のリリースでは削除される予定です。代わりに MATLAB® ライブ スクリプトを使用してください。

MuPAD Notebook ファイルを MATLAB ライブ スクリプト ファイルに変換するには、convertMuPADNotebook を参照してください。MATLAB ライブ スクリプトは、多少の違いはありますが、MuPAD 機能の大半をサポートします。詳細は、MuPAD Notebook を MATLAB ライブ スクリプトに変換を参照してください。

MuPAD グラフィックス プリミティブ

plot::Bars2d2D bar chart
plot::Bars3d3D bar chart of matrix data
plot::BoxplotStatistical box plots
plot::DensityDensity plot
plot::Histogram2dHistogram plots of data
plot::Piechart2d2D pie charts
plot::Piechart3d3D pie charts
plot::QQplotStatistical quantile-quantile plots
plot::SurfaceSTLImport of STL graphics files

MuPAD グラフィカル属性

AreaArea of a histogram plot
AveragedMode for computing quantile lines in box plots
CellsClasses of histogram plots
CellsClosed、ClassesClosedInterpretation of the classes in histogram plots
DataThe (statistical) data to plot
DensityData、DensityFunctionDensity values for a density plot
GroundBase value
Heights、MovesHeights of pieces in pie charts
SizeSize of a point list

トピック

Create Scatter and List Plots

Scatter plots can help you identify the relationship between two data samples. A scatter plot is a simple plot of one variable against another. For two discrete data samples x1, x2, ..., xn and y1, y2, ..., yn, a scatter plot is a collection of points with coordinates [x1, y1], [x2, y2], ..., [xn, yn]. To create a scatter plot in MuPAD, use the plot::Scatterplot function. For example, create the scatter plot for the following data samples x and y:

Create Bar Charts, Histograms, and Pie Charts

Bar charts, histograms, and pie charts help you compare different data samples, categorize data, and see the distribution of data values across a sample. These types of plots are very useful for communicating results of data analysis. Bar charts, histograms, and pie charts can help your audience understand your ideas, results, and conclusions quickly and clearly.

Create Box Plots

Box plots reduce data samples to a number of descriptive parameters. Box plots are very useful for a quick overview and comparison of discrete data samples. To create a box plot, use the plot::Boxplot function. For example, create a box plot for the data samples data1 and data2 that contain random floating-point numbers from the interval [0.0, 1.0) and the value 2 (the outlier):

Create Quantile-Quantile Plots

Quantile-quantile plots help you determine whether two samples come from the same distribution family. Quantile-quantile plots are scatter plots of quantiles computed from each sample together with a reference line along the diagonal of the plot. If the data forms the line, it is reasonable to assume that the two samples come from the same distribution family. If the data falls near the reference line, you also can assume that the two samples have the same mean and the same variance.