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module 1 (6)

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week 6 (3)

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week 9 (2)

working directories (1)

Class meetings

Quarto

module 10

week 16

presentations

Quarto

websites

Advance to the next level with Quarto

Advanced R Markdown

module 10

week 16

bibliography

citations

code chunks

cross-references

figures

Master advanced uses of R Markdown

Publications

module 10

week 15

apa

dissertations

journal articles

papaja

R Markdown

templates

Prepare journal articles in R Markdown

Tables

module 10

week 15

apa

kable

knitr

papaja

R Markdown

table

Create tables in R Markdown

Overlapping data

module 9

week 14

beeswarm

jitter

redundant coding

Avoid overplotting and employ redundant coding

Annotating plots

module 9

week 14

labels

lines

segments

shapes

text

titles

Edit labels and titles and add text, lines, and shapes

Adjusting axes

module 9

week 14

axes

compound plots

faceting

limits

scales

subfigures

Limit, label, and scale axes

Plotting x-y data: categories

module 8

week 13

error bars

interaction plots

raincloud plots

slopegraphs

Plot continuous variables for categorical variables

Plotting x-y data: time series

module 8

week 13

beeswarm

jitter

model fitting

time series

Plot continuous variables over sequential variables

Plotting x-y data: associations

module 8

week 13

bubble charts

correlation plots

heatmaps

scatterplots

Plot paired x-y data to illustrate associations

Plotting amounts: barcharts and dot plots

module 8

week 12

barcharts

dotplots

ggplot

Plot barcharts and dotplots

Plotting distributions: boxplots

module 8

week 12

boxplot

ggplot

outliers

violin plot

Plot boxplots and violin plots

Plotting distributions: histograms

module 8

week 12

density plot

frequency polygon

ggplot

histogram

Plot histograms and density plots

Color

module 7

week 11

color

gradients

palettes

Learn about color spaces and controlling color in plots

Design and themes

module 7

week 11

design

fonts

grid lines

legends

themes

Adjust overall plot design with themes

Grammar of graphics II

module 7

week 11

aesthetics

facets

ggplot

grammar of graphics

statistical transformations

Use the grammar of graphics to organize plot creation

Grammar of graphics I

module 7

week 10

geoms

ggplot

grammar of graphics

Use the grammar of graphics to organize plot creation

Iteration

module 6

week 10

for loops

iteration

map

Use iteration for applying functions across data

Functions

module 6

week 10

conditional statements

functions

messages

Create your own functions to work with data

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 7

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 7

count

numeric

rounding

Parse and transform numbers

Merging rows

module 4

week 6

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

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 4

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 3

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 2

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 1

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 0

R

RStudio

Welcome to Data Processing and Visualization in R