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  • File Format : MP4
  • Indexed time : 21 days ago
  • Last Check : 6 days ago
  • InforHash : 9eeb06919d0d57530994d4d4b471af8c2c767853

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Lynda - R Statistics Essential Training TorrentFile Content

  • 06. Entering data manually.mp4[13.00M]
  • 05. Using built-in datasets in R.mp4[18.00M]
  • 11. Challenge Creating color palettes in R.mp4[3.91M]
  • 07. Importing data.mp4[24.00M]
  • 09. Working with color in R.mp4[32.00M]
  • 03. Taking a first look at the interface.mp4[29.00M]
  • 04. Installing and managing packages.mp4[38.00M]
  • 12. Solution Creating color palettes in R.mp4[10.00M]
  • 02. Using RStudio.mp4[12.00M]
  • 10. Exploring color with Colorbrewer.mp4[21.00M]
  • 01. Installing R on your computer.mp4[11.00M]
  • 08. Converting tabular data to row data.mp4[40.00M]
  • 06. Comparing proportions.mp4[8.69M]
  • 02. Computing a bivariate regression.mp4[19.00M]
  • 010 .Solution Comparing proportions across several different groups.mp4[12.00M]
  • 04. Comparing paired means Paired t-test.mp4[19.00M]
  • 07. Creating cross tabs for categorical variables.mp4[16.00M]
  • 05. Comparing means with a one-factor analysis of variance (ANOVA).mp4[26.00M]
  • 08. Computing robust statistics for bivariate associations.mp4[27.00M]
  • 01. Calculating correlation.mp4[13.00M]
  • 09. Challenge Comparing proportions across several different groups.mp4[2.21M]
  • 03. Comparing means with the t-test.mp4[19.00M]
  • 02. Transforming variables.mp4[29.00M]
  • 06. Solution Transforming skewed data to pull in outliers.mp4[6.64M]
  • 01. Examining outliers.mp4[17.00M]
  • 05. Challenge Transforming skewed data to pull in outliers.mp4[1.49M]
  • 04. Coding missing data.mp4[15.00M]
  • 03. Computing composite variables.mp4[18.00M]
  • 01. Next steps.mp4[12.00M]
  • 01. Creating bar charts for categorical variables.mp4[25.00M]
  • 04. Creating box plots for quantitative variables.mp4[23.00M]
  • 06. Saving images.mp4[17.00M]
  • 07. Challenge Layering plots.mp4[1.21M]
  • 05. Overlaying plots.mp4[21.00M]
  • 03. Creating histograms for quantitative variables.mp4[18.00M]
  • 02. Creating pie charts for categorical variables.mp4[22.00M]
  • 08. Solution Layering plots.mp4[5.74M]
  • Ex01_09.R[65.00K]
  • Ex01_04.R[80.00K]
  • Ex01_08.R[82.00K]
  • Ex01_03.R[82.00K]
  • Ex01_10.R[80.00K]

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