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chiahung_tsai

Chia-hung Tsai

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長表與寬表
Binary Regression Models
假設檢定原理
變異數分析
複迴歸模型
迴歸係數假設檢定
迴歸原理
work flow
Visualization
時間序列因果關係
Correlation
Probability
Bayesian Statistics
Descriptive Statistics 2024
Subset 2024
Causal Inference
Data Types
data types and important commands
Causal Inference
Read Data and Apply
What is R
112學年第2學期授課大綱
Regression 3, 2022
Logistic regression 2022
Regression 2, 2022
Regression 1 2022
Test of mean
Association 2022
Association, Chi-squared
Point Estimate
Probabilities and Descriptive Statistics
Predicted Probabilities of OPRM
Data from 2021 SPF
NCCU-Harvard 2021
Study on Foreign Policy, 2021
Syllabus 2022
Data visualization 2022
Work Flow and Loop 2022
Read Data and Important Functions 2022
資料形態
ESC briefing 1
複迴歸
複迴歸2020課程
迴歸係數檢定
迴歸原理2021
二元變數迴歸模型
時間序列分析
雙母體估計、變異數分析
兩母體統計估計、變異數分析
相關分析與卡方檢定
統計估計、假設檢定、變異數分析
2021
隨機變數與描述統計
資料視覺化
109下學期社會科學統計方法
控制迴圈
109下學期社科方法課程
讀取資料以及常用指令
109下學期R課程
基本資料型態
109學年下學期R課程
1092授課大綱
109學年下學期授課大綱
期末課堂報告議程
Logit/Probit Model
6/11/2019
Regression II
6/4/2019
Regression I
5/28/2019
Association and Correlation
05/14/2019
T-test, Anova
5/21/ 2019
Visualization
4/30/2019
Data Transformation
4/23/2019
Descriptive statistics
April 16, 2019
Control Flow
April 9, 2019
Subsetting and Control Flow
Research design and models
Research units, measurement, validity, reliability, variance and bias
Import Data 2019
March 19-26, 2019
Syllabus 2019
2/26/2019
Data Type & Operation 2019
Week 2-3
Political Family, Campaign Spending
IPM Syllabus
IPM Day 3, Descriptive analysis, Regression
IPM Day 2, Subset, Loop
IPM Day 1, Data Type
Binary regression
Hypothesis testing
Regression
Chi-square, Correlation
ESC introduction
Visualization
dplyr longtable
Probability and Descriptive Statistics
Research design
Presentation
Data type
Rprogramming
v2.0
Read data
Data type
Syllabus
2018