V L Egoshin
Biographic Data
| ID | 4541376 |
|---|---|
| NAME | V L Egoshin |
| GIVEN NAMES | V L |
| FAMILY NAME | Egoshin |
| SIGNATURE | EGOSHIN V L |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Analysis of Categorical Variables Using R
The article presents basic algorithms categorical data analysis using R package. Algorithms for the analysis of independent and non-independent nominal and ordinal data are presented
Correlation and Simple Regression Analysis Using R
The article presents basic algorithms of R software using for correlation analysis and simple linear regression. Basic approaches to the interpretation of the results of analysis and evaluation of statistical regression models are presented
Visualization of Biomedical Data Using R
The paper presents basic principles of using R software for visualization of biomedical research data. Basic types of graphs and algorithms for graph creation are presented. Specification of using different graph types in implementation of different data types is described
Analysis of Continuous Data Using R
The article presents basic algorithms of R software using for continuous data analysis. The basic algorithms for comparing quantitative data of one, two and three or more independent and related samples using parametric and non-parametric criteria are presented
Basic Principles of Biomedical Data Analysis in R
The article presents basic principles of using R software for biomedical data analysis. Types of variables and main principles of their analysis are described. The algorithms for importing, inputting, transforming data, presenting results, working with vectors and tables are presented. The RStudio software using is presented as well
Schoolchildren’s Functional State Under Intensive Information Load at the Initial Adaptation Period to Educational Environment
The article presents basic algorithms of R software using for calculating descriptive statistics of biomedical data including the use specialized packages. Detailed examples of the use of R functions for description and visualization of quantitative and categorical data are given
No prominent works on this page.
Correlation and Simple Regression Analysis Using R
The article presents basic algorithms of R software using for correlation analysis and simple linear regression. Basic approaches to the interpretation of the results of analysis and evaluation of statistical regression models are presented
Visualization of Biomedical Data Using R
The paper presents basic principles of using R software for visualization of biomedical research data. Basic types of graphs and algorithms for graph creation are presented. Specification of using different graph types in implementation of different data types is described
Analysis of Continuous Data Using R
The article presents basic algorithms of R software using for continuous data analysis. The basic algorithms for comparing quantitative data of one, two and three or more independent and related samples using parametric and non-parametric criteria are presented
Basic Principles of Biomedical Data Analysis in R
The article presents basic principles of using R software for biomedical data analysis. Types of variables and main principles of their analysis are described. The algorithms for importing, inputting, transforming data, presenting results, working with vectors and tables are presented. The RStudio software using is presented as well
Schoolchildren’s Functional State Under Intensive Information Load at the Initial Adaptation Period to Educational Environment
The article presents basic algorithms of R software using for calculating descriptive statistics of biomedical data including the use specialized packages. Detailed examples of the use of R functions for description and visualization of quantitative and categorical data are given
Analysis of Categorical Variables Using R
The article presents basic algorithms categorical data analysis using R package. Algorithms for the analysis of independent and non-independent nominal and ordinal data are presented
Computer Science (5 works) · Software (5 works) · Data mining (4 works) · Mathematics (4 works) · Programming language (4 works) · Statistical and Computational Modeling (4 works) · Statistics (4 works) · Data science (3 works) · Advanced Statistical Methods and Models (2 works) · Categorical variable (2 works)