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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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    تاریخ انتشار: ۲۸ تیر ۱۴۰۳
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