R Programming LiveLessons Video Training Fundamentals to Advanced

1. 01 Getting Started with R/003 Work in The R environment.mp465.04MB
2. 01 Getting Started with R/001 Learning objectives.mp45.04MB
3. 01 Getting Started with R/002 Download and install R.mp420.45MB
4. 000 Introduction to R Programming LiveLessons.mp437.49MB
5. 01 Getting Started with R/004 Install and load packages.mp425.98MB
6. 02 The Basic Building Blocks in R/005 Learning objectives.mp44.87MB
7. 02 The Basic Building Blocks in R/006 Use R as a calculator.mp48.55MB
8. 02 The Basic Building Blocks in R/007 Work with variables.mp47.84MB
9. 02 The Basic Building Blocks in R/008 Understand the different data types.mp416.77MB
10. 02 The Basic Building Blocks in R/009 Store data in vectors.mp431.43MB
11. 02 The Basic Building Blocks in R/010 Call functions.mp46.69MB
12. 03 Advanced Data Structures in R/011 Learning objectives.mp44.4MB
13. 03 Advanced Data Structures in R/012 Create and access information in data.frames.mp426.82MB
14. 03 Advanced Data Structures in R/013 Create and access information in lists.mp417.94MB
15. 03 Advanced Data Structures in R/014 Create and access information in matrices.mp413.32MB
16. 03 Advanced Data Structures in R/015 Create and access information in arrays.mp45.07MB
17. 04 Reading Data into R/016 Learning objectives.mp44.27MB
18. 04 Reading Data into R/017 Read a CSV into R.mp413.91MB
19. 04 Reading Data into R/018 Understand that Excel is not easily readable into R.mp45.15MB
20. 04 Reading Data into R/019 Read from databases.mp413.35MB
21. 04 Reading Data into R/020 Read data files from other statistical tools.mp42.75MB
22. 04 Reading Data into R/021 Load binary R files.mp414.97MB
23. 04 Reading Data into R/022 Load data included with R.mp49MB
24. 04 Reading Data into R/023 Scrape data from the web.mp47.9MB
25. 05 Making Statistical Graphs/024 Learning objectives.mp45.12MB
26. 05 Making Statistical Graphs/025 Find the diamonds data.mp42.96MB
27. 05 Making Statistical Graphs/026 Make histograms with base graphics.mp43.99MB
28. 05 Making Statistical Graphs/027 Make scatterplots with base graphics.mp45.22MB
29. 05 Making Statistical Graphs/028 Make boxplots with base graphics.mp42.58MB
30. 05 Making Statistical Graphs/029 Get familiar with ggplot2.mp43.8MB
31. 05 Making Statistical Graphs/030 Plot histograms and densities with ggplot2.mp49.47MB
32. 05 Making Statistical Graphs/031 Make scatterplots with ggplot2.mp415.87MB
33. 05 Making Statistical Graphs/032 Make boxplots and violin plots with ggplot2.mp414.48MB
34. 05 Making Statistical Graphs/033 Make line plots.mp418.38MB
35. 05 Making Statistical Graphs/034 Create small multiples.mp415.99MB
36. 05 Making Statistical Graphs/035 Control colors and shapes.mp44.89MB
37. 05 Making Statistical Graphs/036 Add themes to graphs.mp48.69MB
38. 06 Basics of Programming/037 Learning objectives.mp44.86MB
39. 06 Basics of Programming/038 Write the classic GÇ£Hello, World!GÇ¥ example.mp44.35MB
40. 06 Basics of Programming/039 Understand the basics of function arguments.mp417.05MB
41. 06 Basics of Programming/040 Return a value from a function.mp44.73MB
42. 06 Basics of Programming/041 Gain flexibility with do.call.mp47.01MB
43. 06 Basics of Programming/042 Use if statements to control program flow.mp43.68MB
44. 06 Basics of Programming/043 Stagger if statements with else.mp410.02MB
45. 06 Basics of Programming/044 Check multiple statements with switch.mp47.98MB
46. 06 Basics of Programming/045 Run checks on entire vectors.mp47.79MB
47. 06 Basics of Programming/046 Check compound statements.mp48.02MB
48. 06 Basics of Programming/047 Iterate with a for loop.mp49.61MB
49. 06 Basics of Programming/048 Iterate with a while loop.mp42.74MB
50. 06 Basics of Programming/049 Control loops with break and next.mp43.86MB
51. 07 Data Munging/050 Learning objectives.mp45.33MB
52. 07 Data Munging/051 Repeat an operation on a matrix using apply.mp48.18MB
53. 07 Data Munging/052 Repeat an operation on a list.mp45.09MB
54. 07 Data Munging/053 The mapply.mp48.44MB
55. 07 Data Munging/054 The aggregate function.mp413.35MB
56. 07 Data Munging/055 The plyr package.mp433.15MB
57. 07 Data Munging/056 Combine datasets.mp410.17MB
58. 07 Data Munging/057 Join datasets.mp412.79MB
59. 07 Data Munging/058 Switch storage paradigms.mp410.98MB
60. 08 Manipulating Strings/059 Learning objectives.mp43.75MB
61. 08 Manipulating Strings/060 Combine strings together.mp414.12MB
62. 08 Manipulating Strings/061 Extract text.mp463.7MB
63. 09 Basic Statistics/062 Learning objectives.mp43.74MB
64. 09 Basic Statistics/063 Draw numbers from probability distributions.mp444.69MB
65. 09 Basic Statistics/064 Calculate averages, standard deviations and correlations.mp436.95MB
66. 09 Basic Statistics/065 Compare samples with t-tests and analysis of variance.mp437.72MB
67. 10 Linear Models/066 Learning objectives.mp44.72MB
68. 10 Linear Models/067 Fit simple linear models.mp420.95MB
69. 10 Linear Models/068 Explore the data.mp444.96MB
70. 10 Linear Models/069 Fit multiple regression models.mp446.27MB
71. 10 Linear Models/070 Fit logistic regression.mp427.37MB
72. 10 Linear Models/071 Fit Poisson regression.mp420.88MB
73. 10 Linear Models/072 Analyze survival data.mp434.35MB
74. 10 Linear Models/073 Assess model quality with residuals.mp425.59MB
75. 10 Linear Models/074 Compare models.mp421.01MB
76. 10 Linear Models/075 Judge accuracy using cross-validation.mp416.83MB
77. 10 Linear Models/076 Estimate uncertainty with the bootstrap.mp413.73MB
78. 10 Linear Models/077 Choose variables using stepwise selection.mp48.96MB
79. 105 Summary of R Programming LiveLessons.mp412.97MB
80. 11 Other Models/078 Learning objectives.mp44.83MB
81. 11 Other Models/079 Select variables and improve predictions with the elastic net.mp438.55MB
82. 11 Other Models/080 Decrease uncertainty with weakly informative priors.mp429.98MB
83. 11 Other Models/081 Fit nonlinear least squares.mp418.96MB
84. 11 Other Models/082 Splines.mp421.69MB
85. 11 Other Models/083 GAMs.mp417.92MB
86. 11 Other Models/084 Fit decision trees to make a random forest.mp414.19MB
87. 12 Time Series/085 Learning objectives.mp43.85MB
88. 12 Time Series/086 Understand ACF and PACF.mp422.46MB
89. 12 Time Series/087 Fit and assess ARIMA models.mp412.18MB
90. 12 Time Series/088 Use VAR for multivariate time series.mp430.84MB
91. 12 Time Series/089 Use GARCH for better volatility modeling.mp435.71MB
92. 13 Clustering/090 Learning objectives.mp43.74MB
93. 13 Clustering/091 Partition data with K-means.mp437.61MB
94. 13 Clustering/092 Robustly cluster, even with categorical data, with PAM.mp46.97MB
95. 13 Clustering/093 Perform hierarchical clustering.mp421.37MB
96. 14 Reports and Slideshows with knitr/094 Learning objectives.mp45.15MB
97. 14 Reports and Slideshows with knitr/095 Understand the basics of LaTeX.mp418.25MB
98. 14 Reports and Slideshows with knitr/096 Weave R code into LaTeX using knitr.mp420.25MB
99. 14 Reports and Slideshows with knitr/097 Understand the basics of Markdown.mp46.35MB
100. 14 Reports and Slideshows with knitr/098 Weave R code into Markdown using knitr.mp47.23MB
101. 14 Reports and Slideshows with knitr/099 Use pandoc to convert from Markdown to HTML5 slideshow.mp414.01MB
102. 15 Package Building/100 Learning objectives.mp44.04MB
103. 15 Package Building/101 Understand the folder structure and files in a package.mp419.15MB
104. 15 Package Building/102 Write and document functions.mp431.7MB
105. 15 Package Building/103 Check and build a package.mp410.92MB
106. 15 Package Building/104 Submit a package to CRAN.mp42.98MB