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Scientific Data Analysis Toolkit: A Versatile Add-in to Microsoft Excel for Windows
Journal of Chemical Education ( IF 2.5 ) Pub Date : 2018-05-21 00:00:00 , DOI: 10.1021/acs.jchemed.8b00084
Arthur M. Halpern 1 , Stephen L. Frye , Charles J. Marzzacco 2
Affiliation  

Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in the physical and biological sciences, from first-year courses, to the graduate level, and in research. A particularly useful feature of SDAT is its ability to perform rigorous regression analysis using both standard and user-defined model functions. This tool, which can accommodate up to seven fitting parameters, provides the standard deviation of regression of the fit, the standard uncertainties of the fitting parameters, and the covariance matrix. It also supports weighted regression analysis. SDAT includes the following functionalities: Descriptive Statistics, Integrate, Differentiate, Smooth, Spline, Plot, and Regression Analysis. The use of the Regression Analysis tool is illustrated with several examples including the unweighted and weighted analysis of the nonlinear and linearized forms an exponential decay and an example of the use of the covariance term in a propagation of errors calculation. Other example topics are chemical and enzyme kinetics, vapor pressure, and quantum chemistry computational results. SDAT is provided as associated content.

中文翻译:

科学数据分析工具包:适用于Windows的Microsoft Excel通用插件

科学数据分析工具包(SDAT)是适用于Windows(PC)的Microsoft Excel的严格,多功能且用户友好的数据分析加载项应用程序。SDAT使用熟悉的Excel环境来执行数据分析中使用的大多数分析任务。它是为学生设计的,用于处理和分析在物理和生物科学领域(从一年级课程到研究生水平以及研究)中遇到的数据。SDAT的一个特别有用的功能是它能够使用标准和用户定义的模型功能执行严格的回归分析。该工具最多可容纳七个拟合参数,提供拟合回归的标准偏差,拟合参数的标准不确定性和协方差矩阵。它还支持加权回归分析。SDAT包括以下功能:描述性统计,积分,微分,平滑,样条曲线,图解和回归分析。通过几个示例说明了回归分析工具的用法,包括对非线性和线性化形式的指数衰减进行未加权和加权分析,以及在误差传播计算中使用协方差项的示例。其他示例主题是化学和酶动力学,蒸气压和量子化学计算结果。SDAT作为关联内容提供。通过几个示例说明了回归分析工具的用法,包括对非线性和线性化形式的指数衰减进行未加权和加权分析,以及在误差传播计算中使用协方差项的示例。其他示例主题是化学和酶动力学,蒸气压和量子化学计算结果。SDAT作为关联内容提供。通过几个示例说明了回归分析工具的用法,包括对非线性和线性化形式的指数衰减进行未加权和加权分析,以及在误差传播计算中使用协方差项的示例。其他示例主题是化学和酶动力学,蒸气压和量子化学计算结果。SDAT作为关联内容提供。
更新日期:2018-05-21
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