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相关概念视频

Introduction to MATLAB01:24

Introduction to MATLAB

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MATLAB stands for Matrix Laboratory. MathWorks developed MATLAB as a multi-paradigm numerical computing environment and proprietary programming language. It has evolved significantly over the years to become a tool utilized by engineers, scientists, and mathematicians for various tasks, including matrix calculations, developing algorithms, data analysis, and visualization. MATLAB's applications span various industries and disciplines. It's used in image and signal processing,...
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Overview of Minitab01:11

Overview of Minitab

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Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
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Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

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Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
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Fischer Projections02:18

Fischer Projections

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Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
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Introduction to R01:11

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R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
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Factorial Design02:01

Factorial Design

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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相关实验视频

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Constructing and Visualizing Models using Mime-based Machine-learning Framework
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{MFPP{R}}. {MFPP{R}}. {MFPP{R}}. {MFPP{R}}. {MFPP{R}}. {MFPP{R}}. {MFPP{R}}. {MFPP{R}}. {MFPP}. {MFPP}. {MFPP}.

Zsolt Tibor Kosztyán1, Aamir Saghir2

  • 1Department of Quantitative Methods, University of Pannonia, Veszprém, Veszprém, 8200, Hungary.

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概括

本研究介绍了mfpp,这是一个新的R包,用于基于矩阵的灵活项目规划和调度. 它解决了对敏捷,极端和混合项目管理方法缺乏自由软件工具的问题.

关键词:
灵活的项目灵活的项目基于矩阵的规划.时间表编程 时间表编程

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科学领域:

  • 项目管理 项目管理
  • 软件工程 软件工程 软件工程
  • 计算科学 计算科学

背景情况:

  • 传统的项目规划和调度工具已被广泛使用.
  • 灵活的项目管理方法 (敏捷,极端,混合) 缺乏足够的软件支持,特别是免费选项.
  • 现有的R包不能满足灵活的项目规划和调度需求.

研究的目的:

  • 介绍和描述基于矩阵的灵活项目规划和调度的 mfpp R 包.
  • 为填补灵活的项目管理免费可用的软件的空白.
  • 为项目经理提供用于规划传统和灵活计划的工具.

主要方法:

  • 开发的 mfpp R 包. 的发展.
  • 实施基于矩阵的算法用于项目调度.
  • 包括支持灵活项目方法的工具.

主要成果:

  • mfpp R包提供了一套全面的工具,用于灵活的项目规划和调度.
  • 该套件支持传统和敏捷,极端和混合型项目管理风格.
  • 这些例子展示了该包的实用性和易用性.

结论:

  • mfpp R包有效地解决了对免费,灵活的项目规划和调度工具的需求.
  • 它增强了项目经理使用R用于各种项目方法的能力.
  • 这有助于项目管理软件在计算环境中的进步.