Applied Statistical Modeling for Data Analysis in R

سرفصل های دوره

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

1 - Introduction to the Basics of Applied Statistical Modelling

1 - Introduction to the Instructor and Course

2 - Data Code Used in the Course.html

2 - Script4Lectures.zip

3 - Statistics in the Real World

4 - Designing Studies Collecting Good Quality Data

5 - Different Types of Data

6 - Conclusion to Section 1

2 - Section 2 The Essentials of the R Programming Language

7 - Rationale for this section.html

8 - Introduction to the R Statistical Software R Studio

9 - Different Data Structures in R

10 - Reading in Data from Different Sources

10 - read-inExternalData.txt

11 - Indexing and Subsetting of Data

11 - indexingDF.txt

12 - Data Cleaning Removing Missing Values

12 - removeNAs.txt

13 - EDA.txt

13 - Exploratory Data Analysis in R

14 - Conclusion to Section 2

3 - Statistical Tools to Learn More About Your Data

15 - Summarize Quantitative Data.html

16 - Measures of Center

16 - meanData.txt

17 - Measures of Variation

17 - sd-se1.txt

18 - Charting Graphing Continuous Data

18 - boxplt1.txt

19 - Charting Graphing Discrete Data

19 - barplt1.txt

20 - Deriving Insights from QualitativeNominal Data

20 - chisq1.txt

21 - Conclusions to Section 3

4 - Probability Distributions

22 - Background

23 - Data Distribution Normal Distribution

24 - Checking For Normal Distribution

24 - checkNorm.txt

25 - Standard Normal Distribution and Zscores

26 - Confidence IntervalTheory

27 - CIinR1.txt

27 - Confidence IntervalComputation in R

28 - Conclusions to Section 4

5 - Statistical Inference

29 - What is Hypothesis Testing

30 - Ttests Application in R

30 - ttest1.txt

31 - NonParametric Alternatives to TTests

31 - mann-wil1.txt

32 - Oneway ANOVA

32 - oneAnova1.txt

33 - Nonparametric version of Oneway ANOVA

33 - nonP-krusk1.txt

34 - 2wayAn1.txt

34 - Twoway ANOVA

35 - Power Test for Detecting Effect

36 - Conclusions to Section 5

6 - Relationship Between Two Different Quantitative Variables

37 - Explore the Relationship Between Two Quantitative Variables

38 - Correlans.txt

38 - Correlation

39 - Linear RegressionTheory

40 - Linear RegressionImplementation in R

40 - regression1.txt

41 - The Conditions of Linear Regression

41 - condns-regression1.txt

42 - Dealing with Multicollinearity

42 - multicol1.txt

43 - What More Does the Regression Model Tell Us

43 - more-lin-reg1.txt

44 - Linear Regression and ANOVA

45 - Linear Regression With Categorical Variables and Interaction Terms

45 - intercnreg.txt

46 - Analysis of Covariance ANCOVA

46 - ancova1.txt

47 - Selecting the Most Suitable Regression Model

47 - model-selcn.txt

48 - Conclusions to Section 6

7 - Other Types of Regression

49 - Lecture49-transform.txt

49 - Violation of Linear Regression Conditions Transform Variables

50 - Lecture50-others-regs1.txt

50 - Other Regression Techniques When Conditions of OLS Are Not Met

51 - Model 2 Regression Standardized Major Axis SMA Regression

51 - sma1.txt

52 - Polynomial and Nonlinear regression

52 - poly1.txt

53 - Linear Mixed Effect Models

53 - linMix.txt

54 - Generalized Regression Model GLM

55 - Logistic Regression in R

55 - logisticreg1.txt

56 - Poisson Regression in R

56 - poisson1.txt

57 - Goodness of fit testing

58 - Conclusions to Section 7

8 - Multivariate Analysis

59 - Why Do Multivariate Analysis

60 - Cluster AnalysisUnsupervised Learning

60 - cluster1.txt

61 - Principal Component Analysis PCA

61 - pca-r.txt

62 - Linear Discriminant Analysis LDA

62 - lda.txt

63 - Correspondence Analysis

63 - ca-r.txt

64 - Similarity Dissimilarity Across Sites

65 - Nonmetric multi dimensional scaling NMDS

65 - nmds1.txt

66 - Multivariate Analysis of Variance MANOVA

66 - manova1.txt

67 - Conclusions to Section 8

9 - Miscellaneous Lectures Information

68 - Exploratory Data Analysis With xda

68 - xda.txt

69 - Read in Data from Online HTML TablesPart 1

69 - readHTML-xml.txt

70 - Read in Data from Online HTML TablesPart 2

70 - readHTML-rcurl.txt

71 - Use R in Colab

72 - Summarise By Time

73 - POSIT

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