#Статистичний оракул
29 materials
StatOracle–15 Фенетичні дистанції
Для зоологічних досліджень дуже часто є корисним розрахунок фенетичних дистанцій — міри подібності між особинами або їх групами
StatOracle–11 Analysis of Variance in R
Dispersion analysis — a powerful method (more precisely — an entire “bouquet” of methods) created by Ronald Fisher. This method is based on the possibility of decomposing the dispersion (English: variance) of a random variable into components caused by different …
StatOracle–12 Cluster Analysis in R
Cluster analysis — a method very frequently employed in zoological research. Unfortunately, in many instances its application is not the optimal choice, which is precisely why one must understand the distinctive characteristics of this method.
StatOracle–04 First Acquaintance with R
This chapter introduces the use of R and provides several simple examples of operations required for the analysis of biological data.
StatOracle–03 Tool: The R Language (Environment)
The R language will serve as the foundation for all further work in this course; what characteristics determined its selection?
StatOracle–07 Data Visualization with the ggplot2 Package
Using ggplot2 in R for building informative statistical graphics in zoology and ecology.
StatOracle–09 Comparing Samples in R
Comparing samples — one of the most common types of statistical analysis (currently under development)
StatOracle–06 Data Visualization Using Base R Graphics
One of the reasons for R’s popularity is the wide range of data visualization capabilities this language provides
StatOracle–05 Working with Data in R
To work effectively with R, one must master a range of tools that can be used for creating and transforming data.
StatOracle–05(S) Data Visualization in Statistica
The first (and sometimes — even the only one, since it provides answers to all questions) result of data analysis — is the construction of graphs, visualization of results. Here the data visualization in Statistica is explained using an example …
StatOracle–02 Foundation: canon of primary data collection and example PelophylaxExamples
How should a table for collecting primary data in biological research be organized? What programs can be used to analyze it?
StatOracle–01 Core Concepts of Biostatistics
The introductory chapter of a textbook devoted to statistical analysis of data in zoology and ecology. This textbook is intended for the corresponding section of a large practical course for fourth-year students of the Department of Zoology and Animal Ecology …
BioStatistics — 15. Topic 11. Certain Methods Characteristic of Zoology and Ecology
A number of specific data-processing techniques are used in zoology and ecology. Some of them are discussed in this section.
BioStatistics — 11. Topic 7. Relationships Between Features
There are several approaches for studying relationships between features. The simplest of them is correlation analysis. (Page under development)
Biostatistics — 13. Theme 9. Principal Component Analysis
Principal Component Analysis is a remarkable method for dimensionality reduction of multivariate data. It allows solving many tasks typical for the work of a zoologist and ecologist.
Biostatistics — 10. Topic 6. Comparison of distributions
Sample comparison (and its special case — proportion comparison) — is a common category of tasks solved during biological research
Biostatistics — 07. Topic 4 (continuation). Non‑parametric tests for comparing samples
Discussion of several nonparametric tests used for comparing samples: Mann‑Whitney, Kruskal‑Wallis, and the sign test
Biostatistics — 12. Topic 8. Cluster analysis
Cluster analysis refers to various formalized procedures for constructing classifications of objects.
Biostatistics — 14. Topic 10. Discriminant Analysis
Discriminant analysis — is a statistical method designed to study differences between two or more groups of objects using data on the variation of several traits that distinguish these objects from each other.