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| Archived
files |
|
Introduction |
0 |
00000000 |
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Introduction\0 - Introduction to R Programming LiveLessons.mp4
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185,142,123 |
856A02D0 |
|
Lesson 10: Linear Models |
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Lesson 10: Linear Models\6 - 10.6 Analyze survival data.mp4
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|
190,820,985 |
DE2DB0FD |
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Lesson 10: Linear Models\10 - 10.10 Estimate uncertainty with the bootstrap.mp4
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|
96,075,309 |
5AB560F4 |
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Lesson 10: Linear Models\8 - 10.8 Compare models.mp4
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|
129,213,259 |
6D5A4DB3 |
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Lesson 10: Linear Models\7 - 10.7 Assess model quality with residuals.mp4
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|
101,950,802 |
1AC2E8ED |
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Lesson 10: Linear Models\11 - 10.11 Choose variables using stepwise selection.mp4
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|
53,184,694 |
B275E4B2 |
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Lesson 10: Linear Models\0 - Learning objectives.mp4
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|
21,803,002 |
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Lesson 10: Linear Models\2 - 10.2 Explore the data.mp4
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|
206,400,892 |
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Lesson 10: Linear Models\4 - 10.4 Fit logistic regression.mp4
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|
156,019,816 |
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Lesson 10: Linear Models\5 - 10.5 Fit Poisson regression.mp4
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|
104,446,603 |
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Lesson 10: Linear Models\9 - 10.9 Judge accuracy using cross-validation.mp4
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|
148,709,521 |
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Lesson 10: Linear Models\1 - 10.1 Fit simple linear models.mp4
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|
147,079,270 |
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Lesson 10: Linear Models\3 - 10.3 Fit multiple regression models.mp4
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|
333,189,765 |
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Lesson 11: Other Models |
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Lesson 11: Other Models\1 - 11.1 Select variables and improve predictions with the elastic net.mp4
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224,830,557 |
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Lesson 11: Other Models\4 - 11.4 Splines.mp4
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126,480,635 |
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Lesson 11: Other Models\0 - Learning objectives.mp4
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Lesson 11: Other Models\6 - 11.6 Fit decision trees to make a random forest.mp4
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Lesson 11: Other Models\5 - 11.5 GAMs.mp4
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96,425,766 |
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Lesson 11: Other Models\2 - 11.2 Decrease uncertainty with weakly informative priors.mp4
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157,364,989 |
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Lesson 11: Other Models\3 - 11.3 Fit nonlinear least squares.mp4
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81,113,310 |
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Lesson 12: Time Series |
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Lesson 12: Time Series\2 - 12.2 Fit and assess ARIMA models.mp4
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52,639,408 |
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Lesson 12: Time Series\4 - 12.4 Use GARCH for better volatility modeling.mp4
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173,023,027 |
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Lesson 12: Time Series\0 - Learning objectives.mp4
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16,543,873 |
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Lesson 12: Time Series\1 - 12.1 Understand ACF and PACF.mp4
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124,852,045 |
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Lesson 13: Clustering |
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Lesson 13: Clustering\0 - Learning objectives.mp4
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15,945,152 |
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Lesson 13: Clustering\1 - 13.1: Partition data with K-means.mp4
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205,243,628 |
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Lesson 13: Clustering\3 - 13.3: Perform hierarchical clustering.mp4
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82,760,547 |
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Lesson 13: Clustering\2 - 13.2: Robustly cluster, even with categorical data, with PAM.mp4
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|
24,255,336 |
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Lesson 14: Reports and Slideshows with knitr |
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Lesson 14: Reports and Slideshows with knitr\3 - 14.3: Understand the basics of Markdown.mp4
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|
26,190,913 |
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Lesson 14: Reports and Slideshows with knitr\2 - 14.2: Weave R code into LaTeX using knitr.mp4
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77,118,901 |
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Lesson 14: Reports and Slideshows with knitr\0 - Learning objectives.mp4
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|
24,614,911 |
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Lesson 14: Reports and Slideshows with knitr\1 - 14.1: Understand the basics of LaTeX.mp4
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|
81,124,455 |
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Lesson 14: Reports and Slideshows with knitr\5 - 14.5: Use pandoc to convert from Markdown to HTML5 slideshow.mp4
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|
68,213,191 |
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Lesson 14: Reports and Slideshows with knitr\4 - 14.4: Weave R code into Markdown using knitr.mp4
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|
32,317,067 |
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Lesson 15: Package Building |
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Lesson 15: Package Building\4 - 15.4: Submit a package to CRAN.mp4
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|
10,856,913 |
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Lesson 15: Package Building\2 - 15.2: Write and document functions.mp4
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|
135,317,890 |
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Lesson 15: Package Building\0 - Learning objectives.mp4
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|
18,413,798 |
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Lesson 15: Package Building\3 - 15.3: Check and build a package.mp4
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|
44,575,542 |
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Lesson 15: Package Building\1 - 15.1: Understand the folder structure and files in a package.mp4
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|
84,868,259 |
46640960 |
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Lesson 1: Getting Started with R |
0 |
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Lesson 1: Getting Started with R\1 - 1.1 Download and install R.mp4
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81,308,897 |
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Lesson 1: Getting Started with R\0 - Learning objectives.mp4
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|
23,170,399 |
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Lesson 1: Getting Started with R\2 - 1.2 Work in The R environment.mp4
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257,280,213 |
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Lesson 1: Getting Started with R\3 - 1.3 Install and load packages.mp4
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|
99,929,022 |
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Lesson 2: The Basic Building Blocks in R |
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Lesson 2: The Basic Building Blocks in R\1 - 2.1 Use R as a calculator.mp4
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|
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Lesson 2: The Basic Building Blocks in R\5 - 2.5 Call functions.mp4
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|
36,001,403 |
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Lesson 2: The Basic Building Blocks in R\0 - Learning objectives.mp4
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|
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Lesson 2: The Basic Building Blocks in R\2 - 2.2 Work with variables.mp4
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Lesson 2: The Basic Building Blocks in R\4 - 2.4 Store data in vectors.mp4
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224,954,475 |
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Lesson 3: Advanced Data Structures in R |
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Lesson 3: Advanced Data Structures in R\1 - 3.1 Create and access information in data.frames.mp4
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183,768,373 |
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Lesson 3: Advanced Data Structures in R\0 - Learning objectives.mp4
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20,336,505 |
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Lesson 3: Advanced Data Structures in R\3 - 3.3 Create and access information in matrices.mp4
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Lesson 3: Advanced Data Structures in R\2 - 3.2 Create and access information in lists.mp4
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Lesson 3: Advanced Data Structures in R\4 - 3.4 Create and access information in arrays.mp4
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Lesson 4: Reading Data into R |
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Lesson 4: Reading Data into R\6 - 4.6 Load data included with R.mp4
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|
31,170,727 |
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Lesson 4: Reading Data into R\0 - Learning objectives.mp4
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|
19,521,957 |
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Lesson 4: Reading Data into R\3 - 4.3 Read from databases.mp4
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79,384,211 |
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Lesson 4: Reading Data into R\1 - 4.1 Read a CSV into R.mp4
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88,316,530 |
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Lesson 4: Reading Data into R\2 - 4.2 Understand that Excel is not easily readable into R.mp4
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Lesson 4: Reading Data into R\5 - 4.5 Load binary R files.mp4
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Lesson 4: Reading Data into R\4 - 4.4 Read data files from other statistical tools.mp4
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|
12,534,844 |
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Lesson 4: Reading Data into R\7 - 4.7 Scrape data from the web.mp4
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32,833,547 |
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Lesson 5: Making Statistical Graphs |
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Lesson 5: Making Statistical Graphs\1 - 5.1 Find the diamonds data.mp4.part
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11,786,024 |
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Lesson 5: Making Statistical Graphs\9 - 5.9 Make line plots.mp4
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|
117,418,586 |
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Lesson 5: Making Statistical Graphs\8 - 5.8 Make boxplots and violin plots with ggplot2.mp4
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|
57,704,466 |
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Lesson 5: Making Statistical Graphs\6 - 5.6 Plot histograms and densities with ggplot2.mp4
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|
36,343,522 |
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Lesson 5: Making Statistical Graphs\0 - Learning objectives.mp4
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|
23,803,188 |
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Lesson 5: Making Statistical Graphs\3 - 5.3 Make scatterplots with base graphics.mp4
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|
17,966,616 |
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Lesson 5: Making Statistical Graphs\12 - 5.12 Add themes to graphs.mp4
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|
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Lesson 5: Making Statistical Graphs\10 - 5.10 Create small multiples.mp4
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|
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Lesson 5: Making Statistical Graphs\2 - 5.2 Make histograms with base graphics.mp4
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|
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Lesson 5: Making Statistical Graphs\5 - 5.5 Get familiar with ggplot2.mp4
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|
20,617,546 |
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Lesson 5: Making Statistical Graphs\4 - 5.4 Make boxplots with base graphics.mp4
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|
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Lesson 5: Making Statistical Graphs\7 - 5.7 Make scatterplots with ggplot2.mp4
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|
63,257,101 |
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Lesson 5: Making Statistical Graphs\11 - 5.11 Control colors and shapes.mp4
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|
17,195,959 |
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Lesson 6: Basics of Programming |
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Lesson 6: Basics of Programming\7 - 6.7 Check multiple statements with switch.mp4
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|
37,485,859 |
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Lesson 6: Basics of Programming\2 - 6.2 Understand the basics of function arguments.mp4
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|
109,781,321 |
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Lesson 6: Basics of Programming\10 - 6.10 Iterate with a for loop.mp4
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|
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Lesson 6: Basics of Programming\3 - 6.3 Return a value from a function.mp4
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|
23,781,597 |
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Lesson 6: Basics of Programming\0 - Learning objectives.mp4
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|
22,569,566 |
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Lesson 6: Basics of Programming\6 - 6.6 Stagger if statements with else.mp4
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|
51,150,217 |
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Lesson 6: Basics of Programming\5 - 6.5 Use if statements to control program flow.mp4
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|
15,670,125 |
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Lesson 6: Basics of Programming\12 - 6.12 Control loops with break and next.mp4
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15,451,958 |
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Lesson 6: Basics of Programming\4 - 6.4 Gain flexibility with do.call.mp4
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38,932,346 |
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Lesson 6: Basics of Programming\8 - 6.8 Run checks on entire vectors.mp4
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|
52,892,434 |
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Lesson 6: Basics of Programming\9 - 6.9 Check compound statements.mp4
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|
48,123,336 |
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Lesson 6: Basics of Programming\11 - 6.11 Iterate with a while loop.mp4
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10,368,919 |
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Lesson 7: Data Munging |
0 |
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Lesson 7: Data Munging\6 - 7.6 Combine datasets.mp4
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60,986,545 |
662788D5 |
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Lesson 7: Data Munging\5 - 7.5 The plyr package.mp4
[c1dada94a03d4f05]
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297,132,857 |
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Lesson 7: Data Munging\3 - 7.3 The mapply.mp4
[a7ac4a79e0c6cffa]
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46,352,039 |
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Lesson 7: Data Munging\4 - 7.4 The aggregate function.mp4
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84,441,141 |
27E9966A |
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Lesson 7: Data Munging\7 - 7.7 Join datasets.mp4
[a99903cf5aec59d1]
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79,962,896 |
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Lesson 7: Data Munging\0 - Learning objectives.mp4
[5ea27b0cb2dd58ac]
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25,294,542 |
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Lesson 7: Data Munging\1 - 7.1 Repeat an operation on a matrix using apply.mp4
[69a09bc7caa34dc4]
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48,971,605 |
54B14DF2 |
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Lesson 7: Data Munging\2 - 7.2 Repeat an operation on a list.mp4
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23,952,331 |
C73D9156 |
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Lesson 7: Data Munging\8 - 7.8 Switch storage paradigms.mp4
[af731c2f79f5b62c]
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69,123,765 |
C04F9EA3 |
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Lesson 8: Manipulating Strings |
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Lesson 8: Manipulating Strings\2 - 8.2 Extract text.mp4
[352b5add51962fb4]
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518,450,757 |
B7904E06 |
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Lesson 8: Manipulating Strings\0 - Learning objectives.mp4
[74c244bcce7321d9]
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16,470,428 |
D6549413 |
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Lesson 8: Manipulating Strings\1 - 8.1 Combine strings together.mp4
[32e5df5d6e86adf6]
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132,795,643 |
1D614A78 |
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Lesson 9: Basic Statistics |
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Lesson 9: Basic Statistics\0 - Learning objectives.mp4
[e9021fe15d5bf611]
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16,326,465 |
C90C3005 |
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Lesson 9: Basic Statistics\1 - 9.1: Draw numbers from probability distributions.mp4
[815fb0d6f881532c]
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338,494,537 |
B98D2CE9 |
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Lesson 9: Basic Statistics\2 - 9.2: Calculate averages, standard deviations and correlations.mp4
[d7cf1783ce3f4504]
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8,247,122 |
60BF5A71 |
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Lesson 9: Basic Statistics\3 - 9.3: Compare samples with t-tests and analysis of variance.mp4
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285,951,533 |
52695B32 |
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Summary |
0 |
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Summary\0 - Summary of R Programming LiveLessons.mp4
[36583f4f1cb2a4a9]
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63,057,107 |
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| Total size: |
8,617,195,428 |
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