yhchng
Chng Yan Hao
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Time Series
ts, Holt Winters, ETS, Arima with Regressors, acf, Box.test, accuracy, forecast.
Simple Text Analysis
packages required are NLP, tm, ggplot2, RColorBrewer & SnowballC.
R tools for Data Analysis
Decision Tree
Neural Network
Time Series
Kmeans clustering
Factor Analysis
Market Basket Analysis
RFM & Latency test
Simple Text Analysis
Linear Regression
Supermarket example.
Logistic Regression
Fraud detection example
Hypothesis Testing
Functions include: t.test, prop.test, shapiro.test, ansari.test, var.test
Statistics Bootcamp Using R
Practice & sharing R codes.
Workshop 7: Regression Modelling Using R
Multiple Linear Regression, Logistic Regression, Predict().
Workshop 6: Multiple Regression Using R
Repeatedly test for linearity.
Workshop 5: Simple Linear Regression Using R
Linear models, residual analysis, R² (goodness of fit), p-value.
Workshop 3: Data Preparaion using R
Data preparation and plots
Data Visualisation with R
Covers basics on base plotting and ggplot2.
Data Preparation with R
Some R functions for data preparation.
Data Summarisation with R
Some basic functions used to summarize data.
Introduction to R
Starting to write simple codes.
Vitamin C on Tooth Growth in Guinea Pigs
hypothesis testing, t.tests
Severe Weather Events 2000-2009
from U.S. National Oceanic and Atmospheric Administration’s (NOAA) database