R in data analysis in human genetic epidemiologyFunction data.entry()Function source()Spreadsheet interface in Rplot() functionBeginning R R is an open-source, freely available, integrated software environment for data manipulation, computation, analysis, and graphical display. The R environment ...
Rbio: A tool for biometric and statistical analysis using the R platform Rbio is a free software for data processing. It is compatible and integrated with the free R software, which is globally accepted for statistical analysis. Thus, Rbio takes advantage of all processing potential of the R...
This is a book about Software for Data Analysis: using computer software to extract information from some source of data by organizing, visualizing, modeling, or performing any other relevant computation on the data. We all seem to be swimming in oceans of data in the modern world, and tasks...
Over the years, there have a been a few new competitors in the reproducible data analysis field, such asBeaker Notebookand, for heavy-duty business problems,Apache Zeppelin. However, today we’ll look at the relatively newR Notebooks, and how they help improve the workflows of common data a...
text mining and network analysis. It also includes: Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government Updates and new material based on feedback from instructo...
R is an open-source software platform for statistical data analysis. The R project started in 1993 as a project launched by two New Zealand statisticians, Ross Ilhaka and Robert Gentleman, and their goal was to create a new research platform in statistical computing. Since then, this pilot ...
aData was analyzed using SPSS16.0 software. Survival curves were estimated by Kaplan-Meier analysis and compared by the log-rank test. Data were expressed as mean ± SD, and T-test was used to determine the significance of differences in multiple comparisons. All tests performed were two-sided...
This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer ...
Exploratory Data Analysis, popularly referred to as EDA, is an iterative cycle of analyzing datasets to summarize their main characteristics, often by visualizing and transforming that data.As a data scientist, you'll use various tools and techniques to explore, visualize, and manipulate data. One...
spatial-frequency analysisoptical flowWigner distributionThis chapter introduces the reader to computer software for data analysis. Three most common data analysis packages have been discussed, such as ROOT, Origin, and MATLAB. Some simple analysis examples have also been provided for each of these ...