These are statistics resources that I have found useful.
10/9/2025: tutorial on mixture modeling
7/30/2025: PhD survival tips , https://hongtaoh.com/en/2021/09/22/philip-guo-phd-advice/
7/28/2025: APA table using R
7/18/2025: Social Network Analysis
4/15/2025: Combine Multiple GGPlots into a Figure
https://www.datanovia.com/en/lessons/combine-multiple-ggplots-into-a-figure/
4/14/2025: Today I learned that: by default lm() uses complete cases only
Thus, if I want to add a confidence interval to my regression line, I need to delete the missing values first and then use the complete case data sets to work on the remaining codes.
3/24/2025: Interaction 2
3/23/2025: Interaction
2/8/2025: Handling missing data with MICE package; a simple approach
2/7/2025: Chapter 6 - Causal Diagrams | The Effect
2/6/2025: deal with missing values: imputation (thanks Colin!)
mice: mice: Multivariate Imputation by Chained Equations
Multiple imputation of missing data with mice
II: Multiple imputation using mice
II: Multiple imputation using mice: for comparing the missing data model and the imputed model
2/5/2025: Comparisons and contrasts in emmeans
1/18/2024: lavaan.org
12/14/2024: https://peterejkemp.github.io/v3/chapters/A1-PISA_analysis.html
Sampling weights in R (codes are very helpful)
11.27.2024: How to deal with labeled data in R?
How do we deal with labeled data in R, 2?
Change labeled data to numeric variables
11.24.2024: sampling weights in PISA
https://www.oecd.org/en/about/programmes/pisa/how-to-prepare-and-analyse-the-pisa-database.html
https://www.youtube.com/watch?v=YE6UGzIPhQ4
Handling plausible values in PISA data sets
10/14/2024: HLM: https://deforster.github.io/MLMplotting.html
https://frederikaust.com/papaja_man/reporting.html
10/7/2024: reating Publication-Ready Demographics Tables in R
https://www.ardata.fr/en/flextable-gallery/2022-09-12-demographic-table/
10/1/2024: Multigroup Models With Mediation Effects
9/25/2024: Interaction
A Comprehensive Guide to Interaction Terms in Linear Regression | NVIDIA Technical Blog
https://www.theanalysisfactor.com/interpreting-interactions-in-regression/
https://kzee.github.io/Interactions_Demo.html
https://psyteachr.github.io/stat-models-v1/interactions.html
9/16/2024: Prolific: reliable data sets.
9/3/2024: Microaggressions and Microresistance: Supporting and Empowering Students
9/1/2024: Creating correlation table in only 3 lines of codes in R
variables <- Latino_3 %>%
select(Fm_conf_new, Fm_com, Fm_moni)
apa.cor.table(variables,
filename = "APA_Correlation_Table.doc",
table.number = 1)
getwd()
7/20/2024: Three Modules on Clear Writing Style
7/16/2024: T-test Effect Size using Cohen’s d Measure
7/14/2024: How to save pictures in R: tiff("my_plot.tiff", width = 800, height = 600, res = 150)
7/5/2024: Multi-group CFA in R
2/9/2023: Biostatistics: The Bare Essentials (3rd Edition)
2/9/2023: Confirmatory Factor Analysis (CFA) in R with Lavaan
2/11/2023: Introduction to Structural Equation Modeling (SEM) in R with Lavaan
2/13/2023: 2 RV Transform Joint PDF | Change of Variables (STAT 520)
3/1/2023: Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code
K-Nearest Neighbors Algorithm for ML
k-Nearest Neighbor: An Introductory Example
Machine Learning Basics with the K-Nearest Neighbors Algorithm (beautiful written)
MultiClass Classification Using K-Nearest Neighbours
Support Vector Machine — Introduction to Machine Learning Algorithms
3/12/2023: Chat Open AI
3/13/2023: Weibull distribution
https://www.weibull.com/basics/lifedata.htm
3/17/2023: log rank test
3/25/2023: Sufficient statistic for geometric using factorization theorem
4/1/2023: Using pivot to find confidence interval
Distribution of difference between two sample means
The Sampling Distribution of the Difference in Sample Means (X_1 bar - X_2 bar)
4/1/2023: K-Nearest Neighbors (KNN) with R | Classification and Regression Examples
4/4/2023: Statistical Inference for Estimation in Data Science
5/23/2023: Creating R Packages
5/29/2023: Text Mining and Sentiment Analysis with NLTK and pandas in Python (Comment: this is a very good tutorial resource in teaching NLP)
6/2/2023: Logistic Regression
07/21/2023: Model Fitting
11/3/2023: R Graph Gallery
4/11/2024: Tests for Pairwise Mean Differences in R
4/19/2024: Two sample t-test
4/24/2024: Greater Good in Action
5/16/2024: Core Curriculum | NCFDD
5/17/2024: Success Coaching