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. Instructor: András Aszódi. Topics Introduction to R: general principles. Data structures in R: vectors, […]
Think Statistics with R The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how to run a t-test with R" (which we will also learn, by the way). First we review the foundations […]
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. Instructor: András Aszódi. Topics Introduction to R: general principles. Data structures in R: vectors, […]
Think Statistics with R The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how to run a t-test with R" (which we will also learn, by the way). First we review the foundations […]
Think Statistics with R The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how to run a t-test with R" (which we will also learn, by the way). First we review the foundations […]
Advanced plotting with ggplot in R The aim of this course is to teach you how to create informative scientific plots using the ggplot package in R. Instructor: András Aszódi. Topics Fundamentals of scientific visualisation. Introduction to ggplot. Data preparation, plot creation workflow. ggplot details: bars, boxes, densities, function plots, faceting. Prerequisites Basic familiarity with […]
Think Statistics with R The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how to run a t-test with R" (which we will also learn, by the way). First we review the foundations […]
Linear regression with R The aim of this course is to teach you how to analyse your data using simple linear models. We focus on linear regression in order to improve your generic statistics knowledge. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András Aszódi. Topics […]
ANOVA with R Picture source: Fig.2 from Harp et al, eClinical Medicine Volume 39, September 2021, 101045 DOI: https://doi.org/10.1016/j.eclinm.2021.101045. The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture is best taken with the Linear regression with R […]
CBE HPC cluster introduction This course provides an introduction to the CBE ("CLIP Batch Environment") high-performance computing cluster which is part of the Vienna Biocenter Cloud Infrastructure Project. Instructor: András Aszódi. Topics Introduction to the cluster: architecture, storage layout, access. Environment modules. Batch mode: SLURM queuing system, job scripts. Job arrays, task arrays, MPI jobs. […]
Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
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