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Lynda - R Statistics Essential Training

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种子名称: Lynda - R Statistics Essential Training
文件类型: 视频
文件数目: 70个文件
文件大小: 1.05 GB
收录时间: 2017-2-2 22:33
已经下载: 3
资源热度: 95
最近下载: 2024-12-20 01:47

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Lynda - R Statistics Essential Training.torrent
  • 1. Getting Started/06. Entering data manually.mp413.06MB
  • 1. Getting Started/05. Using built-in datasets in R.mp417.77MB
  • 1. Getting Started/11. Challenge Creating color palettes in R.mp43.91MB
  • 1. Getting Started/07. Importing data.mp424.25MB
  • 1. Getting Started/09. Working with color in R.mp431.66MB
  • 1. Getting Started/03. Taking a first look at the interface.mp429.22MB
  • 1. Getting Started/04. Installing and managing packages.mp438.41MB
  • 1. Getting Started/12. Solution Creating color palettes in R.mp410.37MB
  • 1. Getting Started/02. Using RStudio.mp412.01MB
  • 1. Getting Started/10. Exploring color with Colorbrewer.mp421.1MB
  • 1. Getting Started/01. Installing R on your computer.mp410.99MB
  • 1. Getting Started/08. Converting tabular data to row data.mp439.55MB
  • 7. Statistics for Associations/06. Comparing proportions.mp48.69MB
  • 7. Statistics for Associations/02. Computing a bivariate regression.mp419.24MB
  • 7. Statistics for Associations/010 .Solution Comparing proportions across several different groups.mp411.91MB
  • 7. Statistics for Associations/04. Comparing paired means Paired t-test.mp418.8MB
  • 7. Statistics for Associations/07. Creating cross tabs for categorical variables.mp416.43MB
  • 7. Statistics for Associations/05. Comparing means with a one-factor analysis of variance (ANOVA).mp426.12MB
  • 7. Statistics for Associations/08. Computing robust statistics for bivariate associations.mp427.5MB
  • 7. Statistics for Associations/01. Calculating correlation.mp412.5MB
  • 7. Statistics for Associations/09. Challenge Comparing proportions across several different groups.mp42.21MB
  • 7. Statistics for Associations/03. Comparing means with the t-test.mp418.87MB
  • 4. Modifying Data/02. Transforming variables.mp428.82MB
  • 4. Modifying Data/06. Solution Transforming skewed data to pull in outliers.mp46.64MB
  • 4. Modifying Data/01. Examining outliers.mp416.94MB
  • 4. Modifying Data/05. Challenge Transforming skewed data to pull in outliers.mp41.49MB
  • 4. Modifying Data/04. Coding missing data.mp415.18MB
  • 4. Modifying Data/03. Computing composite variables.mp417.55MB
  • Conclusion/01. Next steps.mp412.14MB
  • 2. Charts for One Variable/01. Creating bar charts for categorical variables.mp425.39MB
  • 2. Charts for One Variable/04. Creating box plots for quantitative variables.mp422.87MB
  • 2. Charts for One Variable/06. Saving images.mp417.26MB
  • 2. Charts for One Variable/07. Challenge Layering plots.mp41.22MB
  • 2. Charts for One Variable/05. Overlaying plots.mp421.48MB
  • 2. Charts for One Variable/03. Creating histograms for quantitative variables.mp417.72MB
  • 2. Charts for One Variable/02. Creating pie charts for categorical variables.mp421.56MB
  • 2. Charts for One Variable/08. Solution Layering plots.mp45.74MB
  • 9. Statistics for Three or More Variables/05. Challenge Creating a cluster analysis of states in the US.mp41.39MB
  • 9. Statistics for Three or More Variables/01. Computing a multiple regression.mp430.65MB
  • 9. Statistics for Three or More Variables/02. Comparing means with a two-factor ANOVA.mp415.83MB
  • 9. Statistics for Three or More Variables/06. Solution Creating a cluster analysis of states in the US.mp414.25MB
  • 9. Statistics for Three or More Variables/04. Conducting a principal componentsfactor analysis.mp434.12MB
  • 9. Statistics for Three or More Variables/03. Conducting a cluster analysis.mp446.59MB
  • 5. Working with the Data File/02. Analyzing by subgroup.mp410.26MB
  • 5. Working with the Data File/03. Merging files.mp416.65MB
  • 5. Working with the Data File/05. Solution Analyzing guinea pig data subgroups.mp44.12MB
  • 5. Working with the Data File/04. Challenge Analyzing guinea pig data subgroups.mp41.17MB
  • 5. Working with the Data File/01. Selecting cases.mp417.69MB
  • 0. Introduction/02. Using the exercise files.mp41.07MB
  • 0. Introduction/01. Welcome.mp49.47MB
  • 0. Introduction/03. Using the challenges.mp45.41MB
  • 3. Statistics for One Variable/03. Using a single proportion Hypothesis test and confidence interval.mp49.93MB
  • 3. Statistics for One Variable/07. Challenge Calculating descriptive statistics.mp41.18MB
  • 3. Statistics for One Variable/06. Examining robust statistics for univariate analyses.mp423.13MB
  • 3. Statistics for One Variable/01. Calculating frequencies.mp49.72MB
  • 3. Statistics for One Variable/02. Calculating descriptives.mp417.18MB
  • 3. Statistics for One Variable/05. Using a single categorical variable One sample chi-square test.mp415.59MB
  • 3. Statistics for One Variable/04. Using a single mean Hypothesis test and confidence interval.mp411.75MB
  • 3. Statistics for One Variable/08. Solution Calculating descriptive statistics.mp46.35MB
  • 8. Charts for Three or More Variables/04. Creating 3D scatter plots.mp416.5MB
  • 8. Charts for Three or More Variables/05. Challenge Creating your own scatter plot matrix.mp41.54MB
  • 8. Charts for Three or More Variables/02. Creating scatter plots for grouped data.mp47.77MB
  • 8. Charts for Three or More Variables/06. Solution Creating your own scatter plot matrix.mp415.02MB
  • 8. Charts for Three or More Variables/01. Creating clustered bar charts for means.mp410.39MB
  • 8. Charts for Three or More Variables/03. Creating scatter plot matrices.mp419.42MB
  • 6. Charts for Associations/05. Solution Creating your own grouped box plots.mp412.42MB
  • 6. Charts for Associations/04. Challenge Creating your own grouped box plots.mp41.59MB
  • 6. Charts for Associations/03. Creating scatter plots.mp413.76MB
  • 6. Charts for Associations/02. Creating grouped box plots.mp416.07MB
  • 6. Charts for Associations/01. Creating bar charts of group means.mp412.17MB