Schoolchildren’s Functional State Under Intensive Information Load at the Initial Adaptation Period to Educational Environment
Bibliographic Data
| ID | 5967657 |
|---|---|
| Authors | L Egoshin, I A Krivolapchuk, V L Egoshin, И А Криволапчук (0000-0001-8628-6924, Institute of Developmental Physiology), В Л Егошин (Semey Medical University), M B Chernova (0000-0002-1253-9842, Institute of Developmental Physiology), V Ivanov, С В Иванов (0000-0001-9532-7150, First Pavlov State Medical University of St. Petersburg), Nadezhda V Savvina (0000-0003-2441-6193, North-Eastern Federal University), G Zh Kapanova, Gulnara Kapanova (0000-0002-6521-6836, Al-Farabi Kazakh National University), A M Grjibovski, Andrej М Grjibovski (0000-0002-5464-0498, North-Eastern Federal University) |
| Year | 2018 |
| Volume | 25 |
| Issue | 9 |
| Pages | 18-26 |
| Publication date | 2018-09-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ekologiya Cheloveka (Human Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1728-0869 • E-ISSN: 2949-1444 |
| Publisher | ECO-Vector LLC (PUBLISHER • RU) |
| DOI | 10.33396/1728-0869-2018-9-18-26 |
| OpenAlex | W2921888549 |
| Language | EN |
| References cited | 14 |
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
Anxiety · Biology · Categorical variable · Data mining · Data science · Descriptive statistics · Developmental psychology · Machine learning · Physical therapy · Programming language · Psychiatry · Rhythm · Statistics · Visualization · Computer Science · Data Analysis with R · Human Health and Disease · Mathematics · Medicine · Physical Education and Training Studies · Psychology · Soil Geostatistics and Mapping · Statistics Education and Methodologies · Technology and Human Factors in Education and Health · Internal Medicine · Software
| Citation velocity | historical |
|---|---|
| Highly cited | No |