For better understanding it is suggested that you start watching from the first video in the playlist and move forward sequentially.
RStudio (1): How to install R Console and R Studio
RStudio (2): Variable specification and data operators
RStudio (3): Data Types (Vector, List, Array, Matrix, Factor, Data Frame)
RStudio (4): Common functions in R (If else, for loop & while loop)
RStudio (5): Basic plots in R (line, scatter, histogram, box, matrix plots)
RStudio (6): Descriptive Statistics and Frequency Table in R
RStudio (7): Correlation tests in R
RStudio (8): Basic Statistical Tests in R (T-tests, ANOVA & OLS Regression)
Data Envelopment Analysis in R (VRS, CRS & Bootstrapping)
SEM (9): Loading data files in R environment
SEM (10): Loading required packages in R
SEM (11): Descriptive statistics, multivariate normality and correlations of measurement items
SEM (13): Exploratory Factor Analysis (EFA) in R
SEM (14): Factor reliability check using Cronbach Alpha
SEM (15): Confirmatory Factor Analysis in R
SEM (16): Divergent and Convergent Validity of Measurement Model (Fornell Larcker criterion)
SEM (19): SEM estimation in R using lavaan
Conference Paper | Meta-analysis of eco-innovation and firm performance | AHFE 2023
Topic modeling using text mining in R | Benzion Szrajber
Bitcoin Price Forecasting using ChatGPT and RStudio (ARIMA & ANN)
How To Download And Install R Console and RStudio
