Introduction to Tidyverse in R - dplyr

preview_player
Показать описание

# learning objectives
# tidyverse vs. R's way of doing things
# what filter, arrange, select, mutate, and summarize do
# selecting a range of columns (e.g., x1:x10)
# selecting "not" columns (e.g., -(x1:x10))
# understand auxiliary functions:
# starts_with, ends_with, contains, group_by, desc
# understand comparisons (&, |, ==, !=, %in%)

# Exercise
# filter to those over 18, create sum scores for mindfulness/stress/depression,
# select only age and the total score columns, then summarize by group
  1. Quant Psych
  2. Statistics
  3. Psychology
  4. NHST
  5. Null Hypothesis Significance Testing
  6. Philosophy of Science
Рекомендации по теме
Introduction to Tidyverse 0:28:48

Introduction to Tidyverse in R - dplyr

Gentle Introduction to 0:22:03

Gentle Introduction to R and Tidyverse

Introduction to R 0:03:49

Introduction to R Programming and Tidyverse

Introduction to R 0:12:00

Introduction to R and Tidyverse Tutorial

R programming for 0:06:56

R programming for beginners. Manipulate data using the tidyverse: select, filter and mutate.

Introduction to the 0:52:34

Introduction to the {tidyverse}: Essential R Packages

Introduction to the 1:34:13

Introduction to the R tidyverse

Introduction to Team 0:07:10

Introduction to Team Tidyverse (R Tidyverse)

Introduction to Dplyr 0:08:47

Introduction to Dplyr and the Tidyverse

Introduction of Tidyverse 0:09:24

Introduction of Tidyverse English [tidyverse]

Introduction to the 0:05:06

Introduction to the tidyverse in R

Introduction to R, 1:25:47

Introduction to R, RStudio, and the Tidyverse (dplyr, readr)

Introduction to R 0:23:24

Introduction to R Workshop Series: Video 15 - Tidyverse - Pipes

Introduction to the 0:15:22

Introduction to the tidyverse in R (filter, select, mutate, pipe); Learn R Video 9

Introduction to R 1:10:35

Introduction to R and the tidyverse - one-shot version

R/Tidyverse quick start 0:25:35

R/Tidyverse quick start (part of the Rfun Introduction to R series)

Introduction to the 0:09:24

Introduction to the Tidyverse

Introduction to the 0:07:06

Introduction to the Tidyverse (package for R programming language)

Introduction to tidyverse 1:14:55

Introduction to tidyverse with dplyr and USAFacts COVID-19 Data

Dplyr Essentials (easy 0:11:21

Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & m...

Intro to the 1:01:39

Intro to the Tidyverse

R-Ladies Amsterdam: Introduction 1:19:02

R-Ladies Amsterdam: Introduction to tidyverse by Nutsa Nanuashvili

Data wrangling with 0:27:19

Data wrangling with R in 27 minutes

Introduction to R 0:20:19

Introduction to R Workshop Series: Video 13 - Tidyverse Verbs of Data Wrangling

Комментарии
Автор

Would be great if the video had chapters with the various function names such as filter, arrange etc for quick scrolling!

ppreshants
Автор

The best channel to learn the hardest statistics in a fun way. Statistics is very hard for me but it's fun to learn from you. Thanks a lot.

gem
Автор

How is this guy has not got a medal of a sorts???!?!?!?!?!?!!!?!

icefunkdark
Автор

dude redo the video. you should always use pipes.

dreznik
Автор

Well, goodbye Excel data manipulation. It's been real while it lasted.
Thanks Dustin!

scortez
Автор

To me the beauty of tidyverse is how readable the piping is. Maybe that's for another video, but it looks so much nicer that way and only takes a little bit of learning with regard to how piping works. :)

thomasaquinas
Автор

So helpful, thank you! Absolute must for anyone starting their first R project.

ulisolovieva