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R for health scientists

WEBThe lessons below were designed for those interested in working with health data in R. This is an introduction to R designed for participants with no programming experience. These …

Actived: 7 days ago

URL: https://uw-madison-datascience.github.io/R-health-lesson/

Introduction to R – R for health scientists

WEB<-is the assignment operator. It assigns values on the right to objects on the left. So, after executing x <- 3, the value of x is 3. The arrow can be read as 3 goes into x.For …

Category:  Health Go Health

Before we start – R for health scientists

WEBWhat is R? What is RStudio? The term “R” is used to refer to both the programming language and the software that interprets the scripts written using it. RStudio is currently …

Category:  Health Go Health

Starting with data – R for health scientists

WEBymd() takes a vector representing year, month, and day, and converts it to a Date vector. Date is a class of data recognized by R as being a date and can be manipulated as …

Category:  Health Go Health

R for health scientists

WEBTo create a new RMarkdown document, in RStudio, navigate to File, then New File, and finally click on R Markdown . RStudio -> File -> New File ->R Markdown (keep defaults, …

Category:  Health Go Health

Setup – R for health scientists

WEBR for health scientists: Setup. The data files for this lesson must be used under a data use agreement. The data are not freely available and is only provided to workshop participants.

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Data Management with SQL for the Health Sciences: Basic Queries

WEBSQL queries can be written in the box located under the “Execute SQL” tab. Click on the right arrow above the query box to execute the query. (You can also use the keyboard …

Category:  Health Go Health

Data Management with SQL for the Health Sciences

WEBData Management with SQL for the Health Sciences: Instructor Notes Learning objectives. Understand concept of relational database; Be able to perform simple queries in SQL …

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Data Management with SQL for the Health Sciences

WEBData Management with SQL for the Health Sciences. Databases are useful for both storing and using data effectively. Using a relational database serves several purposes. It keeps …

Category:  Health Go Health

Manipulating, analyzing and exporting data with tidyverse

WEBEnter dplyr. dplyr is a package for making tabular data manipulation easier. It pairs nicely with tidyr which enables you to swiftly convert between different data formats for plotting …

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Figures – R for health scientists

WEBThis lesson is still being designed and assembled (Pre-Alpha version)

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Glossary – R for health scientists

WEBThis lesson is still being designed and assembled (Pre-Alpha version)

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Instructor Notes – R for health scientists

WEBThis lesson is still being designed and assembled (Pre-Alpha version)

Category:  Health Go Health

Reproducible Reports with RMarkdown – R for health scientists

WEBObjectives. Describe how RMarkdown can be used to generate reproducible reports. Apply Markdown features such as bulleting, italics, bold font, numbered lists. Use code chunks …

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Data Management with SQL for the Health Sciences

WEBClick on the “Open Database” button, select the adni.sqlite file, and click “Open” to open the database. You can see the tables in the database by looking at the left hand side of the …

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Data Management with SQL for the Health Sciences: Joins

WEBJoins. To combine data from two tables we use the SQL JOIN command, which comes after the FROM command. The JOIN command on its own will result in a cross product, …

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SQL Aggregation and aliases

WEBCOUNT and GROUP BY. Aggregation allows us to combine results by grouping records based on value, also it is useful for calculating combined values in groups. Let’s go to …

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Data Cleaning with OpenRefine for Health Sciences

WEBData Cleaning with OpenRefine for Health Sciences. A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the …

Category:  Health Go Health

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