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4 materials found

Authors: Kathi Zarnack  or András Aszódi 


Statistics with R

The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge....

Scientific topics: Statistics and probability

Keywords: Biostatistics, R

Statistics with R http://tess.elixir-uk.org/materials/statistics-with-r The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge. Topics: Sampling theory: obtaining information about a population via sampling. Sample characteristics (location, dispersion, skewness), estimation of the mean, standard error of the mean. Discrete and continuous probability distributions. Central limit theorem. Hypothesis testing. Basic principles, one- and two-sided testing, types of errors, power calculations. "Cookbook of tests": location testing, normality, variance comparisons, counting statistics, contingency tables, regression tests. Statistics and probability Biostatistics, R 2016-04-21 2017-10-09
Python programming primer

The purpose of this training is to teach general programming concepts using Python as an instruction tool. Topics: Introduction to Python: basic principles. Python data structures: strings, tuples, lists, dictionaries, sets. Object-oriented programming: how to model coffee machines in Python...

Scientific topics: Software engineering

Keywords: Python biologists

Python programming primer http://tess.elixir-uk.org/materials/python-programming-primer The purpose of this training is to teach general programming concepts using Python as an instruction tool. Topics: Introduction to Python: basic principles. Python data structures: strings, tuples, lists, dictionaries, sets. Object-oriented programming: how to model coffee machines in Python :-). Inheritance (base and derived classes), polymorphism. Write your own script to convert BED files to GFF. Command-line option processing, file I/O, error handling. Software engineering Python biologists 2016-04-21 2017-10-09
R as a programming language

This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts. Topics: Introduction to R: general principles. Data structures in R: vectors, matrices, arrays,...

Keywords: R programming

R as a programming language http://tess.elixir-uk.org/materials/r-as-a-programming-language This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts. Topics: Introduction to R: general principles. Data structures in R: vectors, matrices, arrays, lists, data frames. Data import/export. Functions in R: how to write your own functions and scripts. Visualization in R: various plot types (built-in graphics only). R programming 2016-04-21 2017-10-09
UNIX command line and scripting

The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH.

Keywords: Awk, Bash, Unix

UNIX command line and scripting http://tess.elixir-uk.org/materials/unix-command-line-and-scripting The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH. Awk, Bash, Unix 2016-04-21 2017-10-09