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探索与可视化

绘制分布函数、以交互方式拟合分布、创建绘图并生成随机数

使用 Distribution Fitter App,以交互方式对样本数据进行概率分布拟合,并将概率分布对象导出到 MATLAB® 工作区。使用箱线图和分位数-分位数图探索数据极差,确定潜在的离群值。通过绘制带拟合的正态密度函数线条的直方图,对整体分布进行可视化。使用概率图评估您的样本数据是否来自具有特定分布(例如正态分布或 Weibull 分布)的总体。如果参数化分布不能充分描述样本数据,则根据样本数据计算并绘制经验累积分布函数。或者使用核平滑函数来估计 cdf。

App

Distribution FitterFit probability distributions to data

函数

全部展开

boxplotBox plot
histfitHistogram with a distribution fit
normplotNormal probability plot
normspecNormal density plot shading between specifications
probplotProbability plots
qqplotQuantile-quantile plot
wblplotWeibull probability plot
cdfplotEmpirical cumulative distribution function (cdf) plot
ecdfEmpirical cumulative distribution function
ecdfhistHistogram based on empirical cumulative distribution function
ksdensityKernel smoothing function estimate for univariate and bivariate data
fsurfhtInteractive contour plot
概率分布函数Interactive density and distribution plots
randtoolInteractive random number generation
surfhtInteractive contour plot

主题

Model Data Using the Distribution Fitter App

The Distribution Fitter app provides a visual, interactive approach to fitting univariate distributions to data.

Fit a Distribution Using the Distribution Fitter App

Use the Distribution Fitter app to interactively fit a probability distribution to data.

Define Custom Distributions Using the Distribution Fitter App

Use the Distribution Fitter app to fit distributions not supported by the Statistics and Machine Learning Toolbox™ by defining a custom distribution.

Distribution Plots

Visually compare the empirical distribution of sample data with a specified distribution.

Nonparametric and Empirical Probability Distributions

Estimate a probability density function or a cumulative distribution function from sample data.

Grouping Variables

Grouping variables are utility variables used to group or categorize observations.