Home
Forms Library
An introduction to R for epidemiologists - objects and data

An introduction to R for epidemiologists - objects and data 2025

An introduction to R for epidemiologists - objects and data Preview on Page 1

Show details

4 out of 5

28 votes

The document is an introductory guide to using R for epidemiologists, focusing on various data structures and objects in R such as vectors, matrices, arrays, lists, and data frames. It explains how to create and manipulate these objects, the importance of indexing and logical vectors for data manipulation, and methods for importing data into R. The content is structured as a course outline from Spring 2013 by Charles DiMaggio at Columbia University.

Here's how it works

01. Edit your form online

Type text, add images, blackout confidential details, add comments, highlights and more.

02. Sign it in a few clicks

Draw your signature, type it, upload its image, or use your mobile device as a signature pad.

03. Share your form with others

Send it via email, link, or fax. You can also download it, export it or print it out.

How to change An introduction to R for epidemiologists - objects and data online

Ease of Setup

DocHub User Ratings on G2

Ease of Use

DocHub User Ratings on G2

With DocHub, making adjustments to your documentation requires just a few simple clicks. Follow these fast steps to change the PDF An introduction to R for epidemiologists - objects and data online free of charge:

Sign up and log in to your account. Sign in to the editor with your credentials or click on Create free account to evaluate the tool’s capabilities.
Add the An introduction to R for epidemiologists - objects and data for redacting. Click the New Document option above, then drag and drop the sample to the upload area, import it from the cloud, or using a link.
Modify your document. Make any adjustments needed: add text and pictures to your An introduction to R for epidemiologists - objects and data, underline details that matter, erase parts of content and substitute them with new ones, and add symbols, checkmarks, and areas for filling out.
Complete redacting the form. Save the modified document on your device, export it to the cloud, print it right from the editor, or share it with all the parties involved.

Our editor is super easy to use and efficient. Give it a try now!

be ready to get more

Complete this form in 5 minutes or less

Get form

Got questions?

We have answers to the most popular questions from our customers. If you can't find an answer to your question, please contact us.

Do epidemiologists use R?

R is a freely available computational language and environment for data analysis and graphics. R is indispensable for anyone that uses and interprets data. As medical, public health, and research epidemiologists, we use R in the following ways: Full-function calculator. Extensible statistical package.

How do we use data in healthcare?

Epidemiologic data analysis is a complex process that involves multiple steps, including examining and cleaning the data; describing the frequency of outcome(s), exposure(s), and covariates; calculating unadjusted measures of association; assessing for effect measure modification and confounding; conducting analyses of

What methods do epidemiologists use?

By analyzing past data, healthcare organizations can predict patient needs, disease outbreaks and potential health risks. For example, predictive models can be used to forecast which patients are most likely to develop chronic conditions based on their health records and lifestyle factors.

What do epidemiologists do with data?

As a field epidemiologist, you will collect and assess data from field investigations, surveillance systems, vital statistics, or other sources. This task, called descriptive epidemiology, answers the following questions about disease, injury, or environmental hazard occurrence: What? How much?

How do epidemiologists use data?

Epidemiologic data are paramount to targeting and implementing evidence-based control measures to protect the publics health and safety. Nowhere are data more important than during a field epidemiologic investigation to identify the cause of an urgent public health problem that requires immediate intervention.

Try more PDF tools