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Download informit.com (LiveLessons) - R Programming_ Fundamentals to Advanced ® vampiri6ka

Informit com LiveLessons Programming Fundamentals to Advanced vampiri6ka

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informit.com (LiveLessons) - R Programming_ Fundamentals to Advanced ® vampiri6ka

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Total Size

1.7 GB

Total Files

106

Hash

08A313B7EB23FBE3382E02DD54B80573B84198FF

/01 Getting Started with R/

003 Work in The R environment.mp4

68.2 MB

004 Install and load packages.mp4

27.2 MB

002 Download and install R.mp4

21.4 MB

001 Learning objectives.mp4

5.3 MB

/08 Manipulating Strings/

061 Extract text.mp4

66.8 MB

060 Combine strings together.mp4

14.8 MB

059 Learning objectives.mp4

3.9 MB

/10 Linear Models/

069 Fit multiple regression models.mp4

48.5 MB

068 Explore the data.mp4

47.1 MB

072 Analyze survival data.mp4

36.0 MB

070 Fit logistic regression.mp4

28.7 MB

073 Assess model quality with residuals.mp4

26.8 MB

074 Compare models.mp4

22.0 MB

067 Fit simple linear models.mp4

22.0 MB

071 Fit Poisson regression.mp4

21.9 MB

075 Judge accuracy using cross-validation.mp4

17.6 MB

076 Estimate uncertainty with the bootstrap.mp4

14.4 MB

077 Choose variables using stepwise selection.mp4

9.4 MB

066 Learning objectives.mp4

4.9 MB

/09 Basic Statistics/

063 Draw numbers from probability distributions.mp4

46.9 MB

065 Compare samples with t-tests and analysis of variance.mp4

39.5 MB

064 Calculate averages, standard deviations and correlations.mp4

38.7 MB

062 Learning objectives.mp4

3.9 MB

/11 Other Models/

079 Select variables and improve predictions with the elastic net.mp4

40.4 MB

080 Decrease uncertainty with weakly informative priors.mp4

31.4 MB

082 Splines.mp4

22.7 MB

081 Fit nonlinear least squares.mp4

19.9 MB

083 GAMs.mp4

18.8 MB

084 Fit decision trees to make a random forest.mp4

14.9 MB

078 Learning objectives.mp4

5.1 MB

/13 Clustering/

091 Partition data with K-means.mp4

39.4 MB

093 Perform hierarchical clustering.mp4

22.4 MB

092 Robustly cluster, even with categorical data, with PAM.mp4

7.3 MB

090 Learning objectives.mp4

3.9 MB

/

000 Introduction to R Programming LiveLessons.mp4

39.3 MB

105 Summary of R Programming LiveLessons.mp4

13.6 MB

/12 Time Series/

089 Use GARCH for better volatility modeling.mp4

37.4 MB

088 Use VAR for multivariate time series.mp4

32.3 MB

086 Understand ACF and PACF.mp4

23.6 MB

087 Fit and assess ARIMA models.mp4

12.8 MB

085 Learning objectives.mp4

4.0 MB

/07 Data Munging/

055 The plyr package.mp4

34.8 MB

054 The aggregate function.mp4

14.0 MB

057 Join datasets.mp4

13.4 MB

058 Switch storage paradigms.mp4

11.5 MB

056 Combine datasets.mp4

10.7 MB

053 The mapply.mp4

8.9 MB

051 Repeat an operation on a matrix using apply.mp4

8.6 MB

050 Learning objectives.mp4

5.6 MB

052 Repeat an operation on a list.mp4

5.3 MB

/15 Package Building/

102 Write and document functions.mp4

33.2 MB

101 Understand the folder structure and files in a package.mp4

20.1 MB

103 Check and build a package.mp4

11.4 MB

100 Learning objectives.mp4

4.2 MB

104 Submit a package to CRAN.mp4

3.1 MB

/02 The Basic Building Blocks in R/

009 Store data in vectors.mp4

33.0 MB

008 Understand the different data types.mp4

17.6 MB

006 Use R as a calculator.mp4

9.0 MB

007 Work with variables.mp4

8.2 MB

010 Call functions.mp4

7.0 MB

005 Learning objectives.mp4

5.1 MB

/03 Advanced Data Structures in R/

012 Create and access information in data.frames.mp4

28.1 MB

013 Create and access information in lists.mp4

18.8 MB

014 Create and access information in matrices.mp4

14.0 MB

015 Create and access information in arrays.mp4

5.3 MB

011 Learning objectives.mp4

4.6 MB

/14 Reports and Slideshows with knitr/

096 Weave R code into LaTeX using knitr.mp4

21.2 MB

095 Understand the basics of LaTeX.mp4

19.1 MB

099 Use pandoc to convert from Markdown to HTML5 slideshow.mp4

14.7 MB

098 Weave R code into Markdown using knitr.mp4

7.6 MB

097 Understand the basics of Markdown.mp4

6.7 MB

094 Learning objectives.mp4

5.4 MB

/05 Making Statistical Graphs/

033 Make line plots.mp4

19.3 MB

034 Create small multiples.mp4

16.8 MB

031 Make scatterplots with ggplot2.mp4

16.6 MB

032 Make boxplots and violin plots with ggplot2.mp4

15.2 MB

030 Plot histograms and densities with ggplot2.mp4

9.9 MB

036 Add themes to graphs.mp4

9.1 MB

027 Make scatterplots with base graphics.mp4

5.5 MB

024 Learning objectives.mp4

5.4 MB

035 Control colors and shapes.mp4

5.1 MB

026 Make histograms with base graphics.mp4

4.2 MB

029 Get familiar with ggplot2.mp4

4.0 MB

025 Find the diamonds data.mp4

3.1 MB

028 Make boxplots with base graphics.mp4

2.7 MB

/06 Basics of Programming/

039 Understand the basics of function arguments.mp4

17.9 MB

043 Stagger if statements with else.mp4

10.5 MB

047 Iterate with a for loop.mp4

10.1 MB

046 Check compound statements.mp4

8.4 MB

044 Check multiple statements with switch.mp4

8.4 MB

045 Run checks on entire vectors.mp4

8.2 MB

041 Gain flexibility with do.call.mp4

7.3 MB

037 Learning objectives.mp4

5.1 MB

040 Return a value from a function.mp4

5.0 MB

038 Write the classic GÇ£Hello, World!GÇ¥ example.mp4

4.6 MB

049 Control loops with break and next.mp4

4.1 MB

042 Use if statements to control program flow.mp4

3.9 MB

048 Iterate with a while loop.mp4

2.9 MB

/04 Reading Data into R/

021 Load binary R files.mp4

15.7 MB

017 Read a CSV into R.mp4

14.6 MB

019 Read from databases.mp4

14.0 MB

022 Load data included with R.mp4

9.4 MB

023 Scrape data from the web.mp4

8.3 MB

018 Understand that Excel is not easily readable into R.mp4

5.4 MB

016 Learning objectives.mp4

4.5 MB

020 Read data files from other statistical tools.mp4

2.9 MB

 

Total files 106


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