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Lynda.com - Up and Running with R

Lynda.com - Up and Running with R | 523 MB
Genre: e-Learnning

Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions.

"Lynda.com - Up and Running with R"

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Lynda.com - Up and Running with R

Lynda.com - Up and Running with R | 523 MB
Genre: e-Learnning

Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions.

The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.

Topics include:

What is R?
Installing R
Creating bar character for categorical variables
Building histograms
Calculating frequencies and descriptives
Computing new variables
Creating scatterplots
Comparing means

Author: Barton Poulson
Subject: Developer, Programming Languages
Software: R
Level: Beginner
Duration: 2h 25m
Released: Apr 04, 2013

Table of Contents:

0. Introduction (1m 22s)
1. Welcome (51s)
2. Using the exercise files (31s)
1. What is R? (3m 35s)
1. R in context (3m 35s)
2. Getting Started (42m 23s)
1. Installing R on your computer (1m 31s)
2. Using RStudio (4m 41s)
3. Getting started with the R environment (10m 32s)
4. Reading data from a spreadsheet (11m 17s)
5. Reading data from SPSS (6m 14s)
6. Using and managing packages (8m 8s)
3. Charts and Statistics for One Variable (33m 11s)
1. Creating bar charts for categorical variables (12m 46s)
2. Creating histograms for quantitative variables (5m 25s)
3. Creating box plots for quantitative variables (3m 33s)
4. Calculating frequencies (4m 24s)
5. Calculating descriptives (7m 3s)
4. Modifying Data (14m 21s)
1. Recoding variables (9m 56s)
2. Computing new variables (4m 25s)
5. Charts for Associations (18m 46s)
1. Creating simple bar charts of group means (6m 52s)
2. Creating scatterplots (4m 16s)
3. Creating scatterplot matrices (5m 23s)
4. Creating 3D scatterplots (2m 15s)
6. Statistics for Associations (27m 27s)
1. Calculating correlations (6m 29s)
2. Computing a regression (6m 33s)
3. Creating crosstabs for categorical variables (6m 26s)
4. Comparing means with the t-test (2m 35s)
5. Comparing means with an analysis of variance (ANOVA) (5m 24s)
7. Conclusion (4m 11s)
1. Next steps (4m 11s)

Lynda.com - Up and Running with R

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