Categories

All (25)

GitHub (1)

R (16)

R Markdown (2)

RStudio (1)

best practices (1)

categorial variables (1)

course-admin (1)

data viz (3)

dates and times (1)

debugging (2)

dplyr (2)

factors (1)

functions (2)

ggplot2 (3)

git (1)

here (4)

module 1 (6)

module 2 (4)

module 3 (3)

module 4 (6)

module 5 (4)

module 6 (2)

programming (20)

python (1)

readr (1)

reproducibility (1)

sentiment analysis (1)

strings and regex (1)

tibble (1)

tidyr (1)

tidytext (1)

tidyverse (8)

version control (1)

week 1 (6)

week 2 (4)

week 3 (3)

week 4 (3)

week 5 (3)

week 6 (2)

week 7 (2)

week 8 (2)

Lectures

01 - Welcome!

course-admin

module 1

week 1

Overview course information for BSPH Biostatistics 140.776

Leonardo Collado Torres

02 - Introduction to R and RStudio!

module 1

week 1

R

programming

RStudio

Let’s dig into the R programming language and the RStudio integrated developer environment

Leonardo Collado Torres

03 - Introduction to git/GitHub

module 1

week 1

programming

version control

git

GitHub

Version control is a game changer; or how I learned to love git/GitHub

Leonardo Collado Torres

04 - Reproducible Research

module 1

week 1

R

reproducibility

Introduction to reproducible research covering some basic concepts and ideas that are related to reproducible reporting

Leonardo Collado Torres

05 - Literate Statistical Programming

module 1

week 1

R Markdown

programming

Introduction to literate statistical programming tools including R Markdown

Leonardo Collado Torres

06 - Reference management

module 1

week 1

R Markdown

programming

How to use citations and incorporate references from a bibliography in R Markdown.

Leonardo Collado Torres

07 - Reading and Writing data

module 2

week 2

R

programming

readr

here

tidyverse

How to get data in and out of R using relative paths

Leonardo Collado Torres

08 - Managing data frames with the Tidyverse

module 2

week 2

R

programming

dplyr

here

tibble

tidyverse

An introduction to data frames in R and the managing them with the dplyr R package

Leonardo Collado Torres

09 - Tidy data and the Tidyverse

module 2

week 2

R

programming

tidyr

here

tidyverse

Introduction to tidy data and how to convert between wide and long data with the tidyr R package

Leonardo Collado Torres

10 - Joining data in R

module 2

week 2

R

programming

dplyr

here

tidyverse

Introduction to relational data and join functions in the dplyr R package

Leonardo Collado Torres

11 - Plotting Systems

module 3

week 3

R

programming

ggplot2

data viz

Overview of three plotting systems in R

Leonardo Collado Torres

12 - The ggplot2 plotting system: qplot()

module 3

week 3

R

programming

ggplot2

data viz

An overview of the ggplot2 plotting system in R with qplot()

Leonardo Collado Torres

13 - The ggplot2 plotting system: ggplot()

module 3

week 3

R

programming

ggplot2

data viz

An overview of the ggplot2 plotting system in R with ggplot()

Leonardo Collado Torres

14 - R Nuts and Bolts

module 4

week 4

R

programming

Introduction to data types and objects in R

Leonardo Collado Torres

15 - Control Structures

module 4

week 4

R

programming

Introduction to control the flow of execution of a series of R expressions

Leonardo Collado Torres

16 - Functions

module 4

week 4

R

programming

functions

Introduction to writing functions in R

Leonardo Collado Torres

17 - Vectorization and loop functionals

module 4

week 5

R

programming

functions

Introduction to vectorization and loop functionals

Leonardo Collado Torres

18 - Debugging R Code

module 4

week 5

programming

debugging

Help! What’s wrong with my code???

Leonardo Collado Torres

19 - Error Handling and Generation

module 4

week 5

programming

debugging

Implement exception handling routines in R functions

Leonardo Collado Torres

20 - Working with dates and times

module 5

week 6

tidyverse

R

programming

dates and times

Introduction to lubridate for dates and times in R

Leonardo Collado Torres

21 - Regular expressions

module 5

week 6

tidyverse

R

programming

strings and regex

Introduction to working with character strings and regular expressions in R

Leonardo Collado Torres

22 - Factors

module 5

week 7

tidyverse

factors

categorial variables

An introduction to working categorial variables using factors in R

Leonardo Collado Torres

23 - Tidytext and sentiment analysis

module 5

week 7

tidyverse

tidytext

sentiment analysis

Introduction to tidytext and sentiment analysis

Leonardo Collado Torres

24 - Best practices for data analyses

module 6

week 8

best practices

A noncomprehensive set of best practices for building data analyses

Leonardo Collado Torres

25 - Python for R Users

week 8

module 6

python

R

programming

Introduction to using Python in R and the reticulate package

Leonardo Collado Torres