How to use this book.

2021 ◽  
pp. 1-2
Author(s):  
Donald Quicke ◽  
Buntika A. Butcher ◽  
Rachel Kruft Welton
Keyword(s):  
Statistical Analysis ◽  
Open Source ◽  
Programming Environment ◽  
Biology Students ◽  
Book Title ◽  
Analysis Tools ◽  
Simple Step ◽  
Statistical Programming

Abstract This book takes a simple step-by-step approach to give a good grounding in the use of R for undergraduate/beginning postgraduate biology students. R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs. This chapter provides some steps on how to use the book, from setting up the computer to running the code as you go along. The chapter structure is also introduced.

scholarly journals rMyCoPortal - an R package to interface with the Mycology Collections Portal

2019 ◽  
Vol 7 ◽  
Author(s):  
Franz-Sebastian Krah ◽  
Scott Bates ◽  
Andrew Miller
Keyword(s):  
Open Source ◽  
Basic Research ◽  
R Package ◽  
Programming Environment ◽  
Web Interface ◽  
Biogeographical Distribution ◽  
Online Databases ◽  
Statistical Programming ◽  
Research Questions ◽  
Large Effort

The understanding of the biodiversity and biogeographical distribution of fungi is still limited. The small number of online databases and the large effort required to access existing data have prevented their use in research articles. The Mycology Collections Portal was established in 2012 to help alleviate these issues and currently serves data online for over 4.3 million fungal records. However, the current process for accessing the data through the web interface is manual, therefore slow, and precludes the extensive use of the existing datasets. Here we introduce the software package rMyCoPortal, which allows users rapid, automated access to the data. rMyCoPortal makes data readily available for further computations and analyses in the open source statistical programming environment R. We will demonstrate the core functions of the package, and how rMyCoPortal can be employed to obtain fungal data that can be used to address basic research questions. rMyCoPortal is a free and open-source R package, available via GitHub.

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

Risks of Using Statistical Analysis Tools in Project Management Environments

2020 ◽  
Vol 7 (2) ◽  
pp. 1-19
Author(s):  
Brian J. Galli
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Statistical Analysis ◽  
Common Type ◽  
Systematic Search ◽  
Statistical Tools ◽  
Early Stages ◽  
Analysis Tools ◽  
The Common ◽  
The Relationship

The purpose of this study is to examine the risks of using statistical tools in a project basis. A systematic search of certain academic databases has been conducted for this study. Statistical tools could be used in a project, and they should be properly planned and designed. Statistical tools include major activities, such as collecting and analyzing data, providing meaningful interpretation, and reporting findings. When dealing with statistical tools, there are several risks that may exist and impact the project either positively or negatively. This study covers a brief outline of the risk management, statistical tools, and the relationship between the two concepts. Finally, a discussion of the common type of risks that are initiated by using statistical analysis tools are provided, which could be planned, identified, and analyzed in the early stages of the project.

The Role of Structured Reliability Studies in Locomotive Design

1993 ◽  
Vol 207 (2) ◽  
pp. 125-132
Author(s):  
S L Harmsworth
Keyword(s):  
Life Cycle ◽  
Statistical Analysis ◽  
Corrective Action ◽  
General Motors ◽  
Rail Transportation ◽  
Transportation Industry ◽  
Analysis Tools

This paper will illustrate how the rail transportation industry has benefited from the Electro-Motive Division (EMD) of General Motors Corporation adhering to a structured reliability process during the design of new locomotive models. This structured process continues throughout the life cycle of a locomotive to ensure that any potential product problems are detected and analysed and corrective action applied. Details will be provided on how the elements making up the EMD reliability process such as modelling, predictions, growth tests, verification tests and statistical analysis tools have actually been applied to development activities associated with new locomotives.

scholarly journals The Influence of Involvement and Awareness on UAE Women Attitude Towards Fashion Clothing

2018 ◽  
Vol 10 (2) ◽  
pp. 76 ◽  
Author(s):  
Hamza Salim Khraim
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Significant Influence ◽  
Positive Attitude ◽  
Fashion Industry ◽  
Convenience Sample ◽  
Self Confidence ◽  
Analysis Tools

The landscape of fashion industry in UAE has changed and evolved over the years in unprecedented way. This study examines the influence of involvement and awareness on UAE women attitude towards fashion clothing. In addition, we will shed some light on fashion industry inside UAE. For collecting the required data, a self-administered survey was distributed for a convenience sample of female Emirati students resulting in 223 usable responses. Numerous statistical analysis tools were used, first factor analysis was conducted and followed by regression, in addition to items mean and frequency. The results indicate that women in UAE have a positive attitude towards fashion clothing. Self-confidence will increases by following fashion statement got the highest mean by respondents. Further, it was found that involvement has a significant influence on UAE women attitude towards fashion clothing. While awareness have no any influence on UAE women attitude towards fashion clothing.

scholarly journals The Stanford Microarray Database: implementation of new analysis tools and open source release of software

2007 ◽  
Vol 35 (Database) ◽  
pp. D766-D770 ◽  
Author(s):  
J. Demeter ◽  
C. Beauheim ◽  
J. Gollub ◽  
T. Hernandez-Boussard ◽  
H. Jin ◽  
...  
Keyword(s):  
Open Source ◽  
Stanford Microarray Database ◽  
Microarray Database ◽  
Analysis Tools ◽  
Database Implementation

An open-source high-content analysis workflow for CFTR function measurements using the forskolin-induced swelling assay

2020 ◽  
Author(s):  
Marne C Hagemeijer ◽  
Annelotte M Vonk ◽  
Nikhil T Awatade ◽  
Iris A L Silva ◽  
Christian Tischer ◽  
...  
Keyword(s):  
Content Analysis ◽  
Statistical Analysis ◽  
Open Source ◽  
R Package ◽  
Supplementary Information ◽  
Image Quantification ◽  
Quantification Method ◽  
Analysis Workflow ◽  
High Content Analysis ◽  
Microscopy Images

Abstract Motivation The forskolin-induced swelling (FIS) assay has become the preferential assay to predict the efficacy of approved and investigational CFTR-modulating drugs for individuals with cystic fibrosis (CF). Currently, no standardized quantification method of FIS data exists thereby hampering inter-laboratory reproducibility. Results We developed a complete open-source workflow for standardized high-content analysis of CFTR function measurements in intestinal organoids using raw microscopy images as input. The workflow includes tools for (i) file and metadata handling; (ii) image quantification and (iii) statistical analysis. Our workflow reproduced results generated by published proprietary analysis protocols and enables standardized CFTR function measurements in CF organoids. Availability All workflow components are open-source and freely available: the htmrenamer R package for file handling https://github.com/hmbotelho/htmrenamer; CellProfiler and ImageJ analysis scripts/pipelines https://github.com/hmbotelho/FIS_image_analysis; the Organoid Analyst application for statistical analysis https://github.com/hmbotelho/organoid_analyst; detailed usage instructions and a demonstration dataset https://github.com/hmbotelho/FIS_analysis. Distributed under GPL v3.0. Supplementary information Supplementary information and a stepwise guide for software installation and data analysis for training purposes are available at Bioinformatics online.

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