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Graphics Research based on LOWESS

机译:基于LOWESS的图形研究

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Statistical graphics are intuition and easy to understand. Statistical graphics can be flexibly drawn according to the research targets. This makes it very meaningful to theoretical research and its application in our daily life. Graphics is used to do exploratory analysis in this article. The most frequently used statistical graphic to describe the dependence between the variables is scatter diagram. To observe the dependence between the variables and at the same time predict the model of the relation between both variables we drew the scatter diagrams based on LOWESS and did the stability test by using the Bootstrap method. We drew the scatter diagram and the smooth scatter diagram with simulated data and did the data analysis with real data. We drew the scatter diagram and the predicted curve diagram with LOWESS and found that the data model and the diagram fit well. At the same time, we have supplied the R program code and the advices for the users.
机译:统计图形直观且易于理解。可以根据研究目标灵活绘制统计图形。这对于理论研究及其在我们日常生活中的应用非常有意义。本文中使用图形进行探索性分析。描述变量之间依赖性的最常用统计图形是散点图。为了观察变量之间的依赖关系并同时预测两个变量之间的关系模型,我们基于LOWESS绘制了散点图,并使用Bootstrap方法进行了稳定性测试。我们用模拟数据绘制散点图和平滑散点图,并使用真实数据进行数据分析。我们用LOWESS绘制了散点图和预测曲线图,发现数据模型和图非常吻合。同时,我们为用户提供了R程序代码和建议。

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