Categories

All (24)

CSV (1)

Excel (1)

Qualtrics (1)

R (2)

R Markdown (1)

RStudio (3)

RStudio Projects (1)

across (2)

arrange (1)

bind (1)

case_when (1)

characters (3)

coalesce (1)

codebooks (1)

coding (1)

coercion (1)

collapse (1)

columns (3)

complete (1)

conditional statements (2)

count (2)

course-admin (1)

data frames (1)

data types (1)

dates (2)

duplicates (1)

expand (1)

export (1)

factors (2)

file systems (1)

fill (1)

filter (1)

filtering joins (1)

group_by (1)

help (1)

ifelse (1)

import (1)

join (2)

knitr (1)

labels (1)

levels (1)

lists (1)

logicals (1)

long data (1)

merge (2)

missing data (4)

module 1 (6)

module 2 (4)

module 3 (5)

module 4 (4)

module 5 (5)

mutate (2)

mutating joins (1)

names (1)

nesting (1)

numeric (1)

numerics (1)

paste (1)

paths (1)

patterns (1)

pipes (1)

pivoting (1)

recode (1)

regular expressions (1)

relocate (1)

rename (1)

reprex (1)

rounding (1)

rows (2)

rowwise (1)

scripts (1)

select (2)

separate (1)

set operations (1)

slice (1)

strings (2)

style (1)

summarise (1)

tibbles (1)

tidy data (1)

time (1)

unite (1)

validate (1)

vectors (1)

week 1 (3)

week 2 (3)

week 3 (3)

week 4 (3)

week 5 (3)

week 6 (3)

week 7 (2)

week 8 (2)

week 9 (2)

wide data (1)

working directories (1)

Class meetings

Dates and times

module 5

week 9

dates

time

Working with dates and times

Factors

module 5

week 9

collapse

factors

labels

levels

recode

Work with categorical variables (factors)

Matching patterns

module 5

week 8

characters

patterns

regular expressions

strings

Match patterns in character strings

Strings

module 5

week 7

characters

paste

strings

Work with character strings

Numbers

module 5

week 8

count

numeric

rounding

Parse and transform numbers

Merging rows

module 4

week 7

bind

filtering joins

join

merge

rows

set operations

Merge rows with filtering joins

Merging columns

module 4

week 6

columns

join

merge

mutating joins

Merge columns with mutating joins

Separating data

module 4

week 6

coalesce

complete

expand

fill

missing data

nesting

separate

unite

Separate or unite values in columns

Pivoting data

module 4

week 6

long data

pivoting

tidy data

wide data

Tidy up your data into long or wide format

Summarizing rows

module 3

week 5

across

count

group_by

slice

summarise

Aggregate row values

Filtering rows

module 3

week 5

arrange

conditional statements

filter

missing data

rows

Remove rows based on data values

Piping

module 3

week 5

mutate

pipes

select

Pipes let us combine chains of functions

Mutating columns

module 3

week 4

across

case_when

columns

conditional statements

ifelse

mutate

rowwise

Change and create data in columns

Selecting columns

module 3

week 4

columns

relocate

rename

select

Select, move, and rename columns

Validating data

module 2

week 4

codebooks

data types

duplicates

missing data

validate

Tools for ensuring your data are valid

Importing data

module 2

week 3

CSV

Excel

export

import

Qualtrics

Import and export data from different sources

Data structures

module 2

week 3

data frames

lists

tibbles

vectors

Create, modify, and subset vectors, lists, and data frames

Data types

module 2

week 3

characters

coercion

dates

factors

logicals

missing data

numerics

Create and convert numerics, character strings, logicals, factors, and dates.

Literate programming

module 1

week 2

knitr

R Markdown

scripts

Combining text, data, and code in R Markdown

Workflows

module 1

week 2

file systems

paths

RStudio Projects

working directories

Access file systems with paths and set working directories with RStudio Projects

Coding basics

module 1

week 2

coding

names

style

Basic concepts in coding, style, and naming

Working in RStudio

module 1

week 1

help

reprex

RStudio

Introduction to RStudio Integrated Development Environment

Course introduction

module 1

week 1

course-admin

R

RStudio

Introduction to Data Processing and Visualization in R

Getting started with R

module 1

week 1

R

RStudio

Welcome to Data Processing and Visualization in R