Using prcomp and varimax for PCA in R

Автор: Steve Pittard

Загружено: 2012-03-15

Просмотров: 63905

Описание: See my new blog for R programming at http://rollingyours.wordpress.com
Best Viewed in Large or Full Screen Mode

This video shows how to use the prcomp and varimax functions in R to accomplish a Principal Components Analysis. We cover the following steps: 1) Read in the Data, 2) Plot a Correlation Matrix, 3) Call prcomp, 4) DotPlot the PCA loadings, 5) Apply the Kaiser Criterion, 6) Make a screeplot, 7) Plot the Biplot, and 8) Apply the varimax rotation.

Download Code from https://raw.githubusercontent.com/ste...

The example data comes from: Abdi, H., & Williams, L.J. (2010). Principal Component Analysis, Wiley Interdisciplinary Reviews: Computational Statistics, 2, 433-459

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...

Using prcomp and varimax for PCA in R

Доступные форматы для скачивания:

Скачать видео

Информация по загрузке:

Скачать аудио

Похожие видео

Principal Components Analysis Using R - P1

Principal Components Analysis Using R - P1

Principal Component analysis (PCA) in R

Principal Component analysis (PCA) in R

JMP Academic Series: Research Methods (Clustering, PCA, EFA, CFA, Path Analysis, SEM)

JMP Academic Series: Research Methods (Clustering, PCA, EFA, CFA, Path Analysis, SEM)

Principal Components Analysis Using R - P2

Principal Components Analysis Using R - P2

Master Principal Component Analysis (PCA) in R: Simplifying Complex Datasets

Master Principal Component Analysis (PCA) in R: Simplifying Complex Datasets

What is a PCA and how to run it in R

What is a PCA and how to run it in R

Анализ главных компонентов (PCA)

Анализ главных компонентов (PCA)

Basic File Management and Data Input with R

Basic File Management and Data Input with R

Теренс Тао о том, как Григорий Перельман решил гипотезу Пуанкаре | Лекс Фридман

Теренс Тао о том, как Григорий Перельман решил гипотезу Пуанкаре | Лекс Фридман

Principal Component Analysis 2 Theory (1/2)

Principal Component Analysis 2 Theory (1/2)

Преломление и «замедление» света | По мотивам лекции Ричарда Фейнмана

Преломление и «замедление» света | По мотивам лекции Ричарда Фейнмана

Principal component analysis in R (prcomp & princomp)

Principal component analysis in R (prcomp & princomp)

StatQuest: Principal Component Analysis (PCA), Step-by-Step

StatQuest: Principal Component Analysis (PCA), Step-by-Step

🧪🧪🧪🧪Как увидеть гиперпространство (4-е измерение)

🧪🧪🧪🧪Как увидеть гиперпространство (4-е измерение)

Декораторы Python — наглядное объяснение

Декораторы Python — наглядное объяснение

PCA : how to interpret the weights/loadings and Varimax rotation

PCA : how to interpret the weights/loadings and Varimax rotation

Factor analysis in R

Factor analysis in R

PCA using vegan and prcomp in R (Part 1) | Nutribiomes

PCA using vegan and prcomp in R (Part 1) | Nutribiomes

Principal Component Analysis (PCA): understand it by manual calculation on Excel

Principal Component Analysis (PCA): understand it by manual calculation on Excel

Hands-on dplyr tutorial for faster data manipulation in R

Hands-on dplyr tutorial for faster data manipulation in R