Learn · Data Analysis For Biologists

Lecture 16 of 53Week 3: Basics of R

Lec 16: Reading and writing data

Prof. Biplab Bose · IIT Guwahati

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From
Data Analysis For Biologists, IIT Guwahati (at NPTEL)
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CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures

  1. Lec 1: Rules of probability Video
  2. Lec 2: Discrete probability distribution Video
  3. Lec 3: Continuous probability distribution Video
  4. Lecture 4: Statistics using R – Descriptive Statistics Video
  5. Lec 5: Moments: variance and covariance Video
  6. Lecture 6: Linear Algebra using R Video
  7. Lec 7: Concept of statistical tests Video
  8. Lec 8: Vector and vector operations Video
  9. Lec 9: Matrix and matrix operations Video
  10. Lec 10: Determinant and Inverse of a matrix Video
  11. Lec 11: Eigenvalue and eigenvector Video
  12. Lec 12: Linear system of equations Video
  13. Lec 13: Singular value decomposition Video
  14. Lec 14: Getting ready with R Video
  15. Lec 15: Algebraic and logical operations in R Video
  16. Lec 16: Reading and writing data Video
  17. Lec 17: Statistics using R – descriptive statistics Video
  18. Lec 18: Statistics using R – t-test and ANOVA Video
  19. Lec 19: Linear algebra using R Video
  20. Lec 20: Scatter plot, Line plot & Bar plot Video
  21. Lec 21: Histogram & Box plot Video
  22. Lec 22: Heatmap and Volcano plot Video
  23. Lec 23: Network visualization Video
  24. Lec 24: Data visualization using ggplot2 - I Video
  25. Lec 25: Data visualization using ggplo2 - II Video
  26. Lec 26: Correlations Video
  27. Lec 27: Linear regression - I Video
  28. Lec 28: Linear regression - II Video
  29. Lec 29: Linear regression using R Video
  30. Lec 30: Multiple linear regression Video
  31. Lec 31: Multiple linear regression using R Video
  32. Lec 32: Nonlinear regression Video
  33. Lec 33: Nonlinear regression using R Video
  34. Lec 34: Clustering and classification Video
  35. Lec 35: Logistic regression Video
  36. Lec 36: Logistic regression using R Video
  37. Lec 37: Distance mesaures for clustering Video
  38. Lec 38: k-means clustering Video
  39. Lec 39: k-means clustering using R Video
  40. Lec 40: Hierarchical clustering Video
  41. Lec 41: Hierarchical clustering using R Video
  42. Lec 42: Decision tree classifier Video
  43. Lec 43: Support vector machines Video
  44. Lec 44: Higher-dimensional data in biology Video
  45. Lec 45: Principle component analysis Video
  46. Lec 46: Principle component analysis using R Video
  47. Lecture 4: Statistics using R – Descriptive Statistics Video
  48. Lec 48: t-SNE using R Video
  49. Lecture 6: Linear Algebra using R Video
  50. Live Session 08-02-2024 Video
  51. Live Session 07-03-2024 Video
  52. Live Session 12-02-2025 Video
  53. Live Session 05-03-2025 Video