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10 materials found

Keywords: R-programming  or


Hands-on for 'SQL with R' tutorial

The questions this addresses are:
- How can I access databases from programs written in R?

The objectives are:
- Write short programs that execute SQL queries.
- Trace the execution of a program that contains an SQL query.
- Explain why most database applications are written in a...

Keywords: data-science, SQL, R, jupyter-notebook, rmarkdown-notebook

Resource type: hands-on tutorial

Hands-on for 'Advanced R in Galaxy' tutorial

The questions this addresses are:
- How can I manipulate data using R in Galaxy?
- How do I get started with tabular data from Galaxy in R?

The objectives are:
- Be able to load and explore the shape and contents of a tabular dataset using base R functions.
- Understand factors and how...

Keywords: data-science, R

Resource type: hands-on tutorial

Hands-on for 'R basics in Galaxy' tutorial

The questions this addresses are:
- What are the basic features and objects of the R language?

The objectives are:
- Know advantages of analyzing data using R within Galaxy.
- Compose an R script file containing comments, commands, objects, and functions.
- Be able to work with objects...

Keywords: data-science, interactive-tools, R

Resource type: hands-on tutorial

Hands-on for 'dplyr & tidyverse for data processing' tutorial

The questions this addresses are:
- How can I load tabular data into R?
- How can I slice and dice the data to ask questions?

The objectives are:
- Read data with the built-in read.csv
- Read data with dplyr's read_csv
- Use dplyr and tidyverse functions to cleanup data.

Keywords: data-science, R, jupyter-notebook, rmarkdown-notebook

Resource type: hands-on tutorial

How to use Python and R with RDF Data

How to use Python and R with RDF Data is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centred around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics

Operations: Query and retrieval, Data handling, Data retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB

Resource type: Video, Training materials, Mock data, E-learning

Statistics with RStudio

Introduction to statistics with R

Keywords: R

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

Working with Affymetrix CEL files in R

This tutorial shows how to download some public Affymetrix microarray data, load the data into R, calculate expression values and do some very simple plotting

Keywords: Affymetrix, Microarrays, R

Simple plotting in R

This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software.
the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with...

Keywords: Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation

Flow Cytometry 2013 Module 2 - Exploring FCM data in R

Loading a single or groups of FCS files into R

    flowFrame and flowSet objects and their attributes

    Exploring sample annotation and keywords stored within the FCS file format, searching for specic samples (such as controls) using grep, highlighting the importance of correct sample annotation...

Keywords: Fcs files, Plotting data, R