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mdlama

M. Drew LaMar

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Lecture 7: Estimating with Uncertainty
Introduction to Biostatistics (BIOL 327) September 13, 2019 Fall 2019 William & Mary
Lecture 6: Descriptive Statistics
Introduction to Biostatistics (BIOL 327) September 11, 2019 Fall 2019 William & Mary
Lecture 5: Data Visualization (Part 2)
Introduction to Biostatistics (BIOL 327) September 9, 2019 Fall 2019 William & Mary
Lecture 4: Data Visualization
Introduction to Biostatistics (BIOL 327) September 4, 2019 Fall 2019 William & Mary
Lecture 3: What is statistics?
Introduction to Biostatistics (BIOL 327) September 2, 2019 Fall 2019 William & Mary
Lecture 2: Intro to Data & Experimental Design
Introduction to Biostatistics (BIOL 327) August 30, 2019 Fall 2019 William & Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327) August 29, 2019 Fall 2019 William and Mary
Population Genetics
Introduction to Quantitative Biology (BIOL 325) March 27, 2019 Spring 2019 College of William and Mary
In Silico Experimentation
Introduction to Quantitative Biology (BIOL 325) March 20, 2019 Spring 2019 College of William and Mary
Testing Your Program
Introduction to Quantitative Biology (BIOL 325) March 18, 2019 Spring 2019 College of William and Mary
In-Silico Simulation: The 2019 Raft Debate Edition!
EDIT: Slide title is "Testing your Program", but this title is more appropriate to the content. Introduction to Quantitative Biology (BIOL 325) March 15, 2019 Spring 2019 College of William and Mary
Implementing and Testing an Agent-Based Model
Introduction to Quantitative Biology (BIOL 325) March 13, 2019 Spring 2019 College of William and Mary
Describing and Formulating ABMs: The ODD Protocol
Introduction to Quantitative Biology (BIOL 325) March 11, 2019 Spring 2019 College of William and Mary
Introduction to Agent-Based Modeling (ABM)
Introduction to Quantitative Biology (BIOL 325) February 25, 2019 Spring 2019 College of William and Mary
Akaike's Information Criterion (AIC)
Introduction to Quantitative Biology (BIOL 325) February 22, 2019 Spring 2019 College of William and Mary
Parsimony and Likelihood (Part 2)
Introduction to Quantitative Biology (BIOL 325) February 20, 2019 Spring 2019 College of William and Mary
Parsimony and Likelihood
Introduction to Quantitative Biology (BIOL 325) February 18, 2019 Spring 2019 College of William and Mary
Parsimony and Collinearity
Introduction to Quantitative Biology (BIOL 325) February 15, 2019 Spring 2019 College of William and Mary
Data and Models
Introduction to Quantitative Biology (BIOL 325) February 13, 2019 Spring 2019 College of William and Mary
Multiple Linear Regression (Part 2)
Introduction to Quantitative Biology (BIOL 325) February 11, 2019 Spring 2019 College of William and Mary
Multiple Linear Regression (Part 1)
Introduction to Quantitative Biology (BIOL 325) February 8, 2019 Spring 2019 College of William and Mary
Linear Regression (cont'd)
Introduction to Quantitative Biology (BIOL 325) February 6, 2019 Spring 2019 College of William and Mary
Linear Regression
Introduction to Quantitative Biology (BIOL 325) February 4, 2019 Spring 2019 College of William and Mary
Errors in Hypothesis Testing; Linear Regression
Introduction to Quantitative Biology (BIOL 325) February 1, 2019 Spring 2019 College of William and Mary
Central Limit Theorem and Hypothesis Testing
Introduction to Quantitative Biology (BIOL 325) January 30, 2019 Spring 2019 College of William and Mary
Sampling Distributions and Confidence Intervals
Introduction to Quantitative Biology (BIOL 325) January 28, 2019 Spring 2019 College of William and Mary
Intro to Statistical Inference
Introduction to Quantitative Biology (BIOL 325) January 25, 2019 Spring 2019 College of William and Mary
Intro to Models and Modeling
Introduction to Quantitative Biology (BIOL 325) January 23, 2019 Spring 2019 College of William and Mary
Lecture 35: Parting words and stuff
Introduction to Biostatistics (BIOL 327) December 7, 2018 Fall 2018 College of William and Mary
Lecture 34: Different experimental designs
Introduction to Biostatistics (BIOL 327) December 5, 2018 Fall 2018 College of William and Mary
Lecture 33: Regression (Part 2)
Introduction to Biostatistics (BIOL 327) December 3, 2018 Fall 2018 College of William and Mary
Lecture 32: Regression (Part 1)
Introduction to Biostatistics (BIOL 327) November 28, 2018 Fall 2018 College of William and Mary
Lecture 31: Correlation
Introduction to Biostatistics (BIOL 327) November 26, 2018 Fall 2018 College of William and Mary
Lecture 30: The Analysis of Variance (ANOVA) - Part 3
Introduction to Biostatistics (BIOL 327) November 19, 2018 Fall 2018 College of William and Mary
Lecture 29: The Analysis of Variance (ANOVA) - Part 2
Introduction to Biostatistics (BIOL 327) November 16, 2018 Fall 2018 College of William and Mary
Lecture 28: The Analysis of Variance (ANOVA) - Part 1
Introduction to Biostatistics (BIOL 327) November 14, 2018 Fall 2018 College of William and Mary
Lecture 27: My assumptions are violated!! (Part 2)
Introduction to Biostatistics (BIOL 327) November 12, 2018 Fall 2018 College of William and Mary
Lecture 26: My assumptions are violated!!
Introduction to Biostatistics (BIOL 327) November 7, 2018 Fall 2018 College of William and Mary
Lecture 25: Pseudoreplication and sampling
Introduction to Biostatistics (BIOL 327) November 5, 2018 Fall 2018 College of William and Mary
Lecture 24: Variances, Fallacies, and Exams - Oh my!!!
Introduction to Biostatistics (BIOL 327) November 2, 2018 Fall 2018 College of William and Mary
Lecture 23: Comparing two means (unpaired designs)
Introduction to Biostatistics (BIOL 327) October 31, 2018 Fall 2018 College of William and Mary
Lecture 22: Comparing two means (paired designs)
Introduction to Biostatistics (BIOL 327) October 29, 2018 Fall 2018 College of William and Mary
Lecture 21: Inference for a normal population
Introduction to Biostatistics (BIOL 327) October 24, 2018 Fall 2018 College of William and Mary
Lecture 20: The normal distribution
Introduction to Biostatistics (BIOL 327) October 22, 2018 Fall 2018 College of William and Mary
Lecture 19: Contingency Analysis (Part 2)
Introduction to Biostatistics (BIOL 327) October 19, 2018 Fall 2018 College of William and Mary
Lecture 18: Contingency Analysis
Introduction to Biostatistics (BIOL 327) October 17, 2018 Fall 2018 College of William and Mary
Lecture 16: Fitting probability models to frequency data (Part 2)
Introduction to Biostatistics (BIOL 327) October 10, 2018 Fall 2018 College of William and Mary
Lecture 15: Fitting probability models to frequency data (Part I)
Introduction to Biostatistics (BIOL 327) October 8, 2018 Fall 2018 College of William and Mary
Lecture 14: Analyzing Proportions (Part 2)
Introduction to Biostatistics (BIOL 327) October 5, 2018 Fall 2018 College of William and Mary
Lecture: Bayes Theorem
Introduction to Biostatistics (BIOL 327) October 3, 2018 Fall 2018 College of William and Mary
Lecture 13: Analyzing proportions
Introduction to Biostatistics (BIOL 327) October 3, 2018 Fall 2018 College of William and Mary
Lecture 12: Hypothesis Testing
Introduction to Biostatistics (BIOL 327) October 1, 2018 Fall 2018 College of William and Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327) September 26, 2018 Fall 2018 College of William and Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327) September 24, 2018 Fall 2018 College of William and Mary
Lecture 9: Probability (Part 1)
Slides: http://rpubs.com/mdlama/fall2018_lecture08 Introduction to Biostatistics (BIOL 327) September 21, 2018 Fall 2018 College of William and Mary
Lecture 8: Estimating with Uncertainty (Part 2)
Introduction to Biostatistics (BIOL 327) September 19, 2018 Fall 2018 College of William and Mary
Lecture 7: Estimating with Uncertainty (Part 1)
Introduction to Biostatistics (BIOL 327) September 17, 2018 Fall 2018 College of William and Mary
Lecture 6: Descriptive Statistics
Introduction to Biostatistics (BIOL 327) September 10, 2018 Fall 2018 College of William and Mary
Lecture 5: Data Visualization (Part 2)
Introduction to Biostatistics (BIOL 327) September 7, 2018 Fall 2018 College of William and Mary
Lecture 4: Data Visualization
Introduction to Biostatistics (BIOL 327) September 5, 2018 Fall 2018 College of William and Mary
Lecture 3: What is statistics?
Introduction to Biostatistics (BIOL 327) September 3, 2018 Fall 2018 College of William and Mary
Lecture 2: Intro to Data & Experimental Design
Introduction to Biostatistics (BIOL 327) August 31, 2018 Fall 2018 College of William and Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327) August 29, 2018 Fall 2018 College of William and Mary
Lecture 35: Different experimental designs
Introduction to Biostatistics (BIOL 327) April 19, 2017 Spring 2017 College of William and Mary
Lecture 34: Multiple explanatory variables (Part 2)
Introduction to Biostatistics (BIOL 327) April 17, 2017 Spring 2017 College of William and Mary
Lecture 33: Multiple explanatory variables (Part 1)
Introduction to Biostatistics (BIOL 327) April 14, 2017 Spring 2017 College of William and Mary
Lecture 32: Regression (Part 2)
Introduction to Biostatistics (BIOL 327) April 12, 2017 Spring 2017 College of William and Mary
Lecture 31: Regression (Part 1)
Introduction to Biostatistics (BIOL 327) April 10, 2017 Spring 2017 College of William and Mary
Lecture 30: Correlation between numerical variables
Introduction to Biostatistics (BIOL 327) April 7, 2017 Spring 2017 College of William and Mary
Lecture 29: The Analysis of Variance (Part 3)
Introduction to Biostatistics (BIOL 327) April 5, 2017 Spring 2017 College of William and Mary
Lecture 28: The Analysis of Variance (ANOVA) (Part 2)
Introduction to Biostatistics (BIOL 327) April 3, 2017 Spring 2017 College of William and Mary
Lecture 27: The Analysis of Variance (ANOVA)
Introduction to Biostatistics (BIOL 327) March 31, 2017 Spring 2017 College of William and Mary
Lecture 26: My assumptions are violated! (Part 2)
Introduction to Biostatistics (BIOL 327) March 29, 2017 Spring 2017 College of William and Mary
Lecture 25: My assumptions are violated!
Introduction to Biostatistics (BIOL 327) March 28, 2017 Spring 2017 College of William and Mary
Lecture 24: Pseudoreplication and sampling
Introduction to Biostatistics (BIOL 327) March 22, 2017 Spring 2017 College of William and Mary
Lecture 23: Comparing two means (Part 2)
Introduction to Biostatistics (BIOL 327) March 20, 2017 Spring 2017 College of William and Mary
Lecture 22: Comparing two means (paired designs)
Introduction to Biostatistics (BIOL 327) March 17, 2017 Spring 2017 College of William and Mary
Lecture 21: Inference for a Normal Population
Introduction to Biostatistics (BIOL 327) March 15, 2017 Spring 2017 College of William and Mary
Lecture 20: The normal distribution
Introduction to Biostatistics (BIOL 327) March 13, 2017 Spring 2017 College of William and Mary
Lecture 19: Contingency Analysis (Part 2)
Introduction to Biostatistics (BIOL 327) March 3, 2017 Spring 2017 College of William and Mary
Mass extinctions with matrix/table
Introduction to Biostatistics (BIOL 327) March 3, 2017 Spring 2017 College of William and Mary
Lecture 18: Contingency Analysis
Introduction to Biostatistics (BIOL 327) March 1, 2017 Spring 2017 College of William and Mary
Mass extinctions with dplyr and tidyr
Introduction to Biostatistics (BIOL 327) March 1, 2017 Spring 2017 College of William and Mary
How do I get P-values and critical values from R?
Introduction to Biostatistics (BIOL 327) March 1, 2017 Spring 2017 College of William and Mary
Lecture 17: Fitting probability models to frequency data (Part 2)
Introduction to Biostatistics (BIOL 327) February 27, 2017 Spring 2017 College of William and Mary
Lecture 16: Fitting probability models to frequency data (Part 1)
Introduction to Biostatistics (BIOL 327) February 24, 2017 Spring 2017 College of William and Mary
Lecture 15: Analyzing Proportions (Part 2)
Introduction to Biostatistics (BIOL 327) February 22, 2017 Spring 2017 College of William and Mary
Lecture 14: Analyzing Proportions (Part 1)
Introduction to Biostatistics (BIOL 327) February 22, 2017 Spring 2017 College of William and Mary
Lecture 12: Hypothesis Testing
Introduction to Biostatistics (BIOL 327) February 13, 2017 Spring 2017 College of William and Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327) February 10, 2017 Spring 2017 College of William and Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327) February 8, 2017 Spring 2017 College of William and Mary
Lecture 9: Probability
Introduction to Biostatistics (BIOL 327) February 6, 2017 Spring 2017 College of William and Mary
Lecture 8: Estimating with Uncertainty (Part 2)
Introduction to Biostatistics (BIOL 327) February 3, 2017 Spring 2017 College of William and Mary
Lab #3 Discussion: R-Markdown and Programming
Introduction to Biostatistics (BIOL 327) February 2, 2017 Spring 2017 College of William and Mary
Lecture 7: Estimating with Uncertainty
Introduction to Biostatistics (BIOL 327) February 1, 2017 Spring 2017 College of William and Mary
Lecture 6: Descriptive Statistics
Introduction to Biostatistics (BIOL 327) January 27, 2017 Spring 2017 College of William and Mary
Lecture 5: Visualizing Data (Part 2)
Introduction to Biostatistics (BIOL 327) January 27, 2017 Spring 2017 College of William and Mary
Lecture 4: Visualizing Data
Introduction to Biostatistics (BIOL 327) January 25, 2017 Spring 2017 College of William and Mary
Lecture 3: What is Statistics?
Introduction to Biostatistics (BIOL 327) January 23, 2017 Spring 2017 College of William and Mary
Lecture 2: Intro to Data & Experimental Design
Introduction to Biostatistics (BIOL 327) January 20, 2017 Spring 2017 College of William and Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327) January 18, 2017 Spring 2017 College of William and Mary
Introduction to Systems Biology (cont'd)
from Introduction to Quantitative Biology College of William and Mary Fall 2016
Introduction to Systems Biology
Chapter 1: Ingalls Introduction to Quantitative Biology College of William and Mary Fall 2016
Natural Selection
Introduction to Quantitative Biology Fall 2016
In Silico Experimentation (cont'd)
Railsback & Grimm, Chapter 8 Introduction to Quantitative Biology Fall 2016
In Silico Experimentation
Railsback & Grimm, Chapter 8 Introduction to Quantitative Biology Fall 2016
Testing your program (cont'd)
Railsback & Grimm, Chapter6 Introduction to Quantitative Biology Fall 2016
Testing your program
Railsback & Grimm, Chapter 6 Introduction to Quantitative Biology Fall 2016
Implementing and Testing an Agent-Based Model
Railsback & Grimm, Chapters 3-5 Introduction to Quantitative Biology Fall 2016
Describing and Formulating ABMs: The ODD Protocol
Introduction to Quantitative Biology Fall 2016 The College of William and Mary
Introduction to Agent-Based Modeling (ABM)
Introduction to Quantitative Biology Fall 2016
Information Theory: Practice
Working through hardening cement data. Introduction to Quantitative Biology Fall 2016
Parsimony and Collinearity
Chapter 2: Anderson, Model Based Inference in the Life Sciences Introduction to Quantitative Biology College of William and Mary Fall 2016
Data and Models
Chapter 2: Anderson, Model Based Inference in the Life Sciences Introduction to Quantitative Biology College of William and Mary Fall 2016
Multiple regression
OpenStats: Chapter 8 Introduction to Quantitative Biology College of William and Mary Fall 2016
Linear Regression
BIOL 325: Introduction to Quantitative Biology Fall 2016 College of William and Mary M. Drew LaMar
Errors in Hypothesis Testing; Linear Regression
Introduction to Quantitative Biology Fall 2016 M. Drew LaMar
Central Limit Theorem and Hypothesis Testing
Introduction to Quantitative Biology Fall 2016 M. Drew LaMar OpenIntro Statistics: Chapter 4
Sampling Distributions and Confidence Intervals
M. Drew LaMar Introduction to Quantitative Biology Fall 2016 OpenIntro Statistics: Chapter 4
Intro to Statistical Inference
Lecture Slides (08-31-2016) M. Drew LaMar Introduction to Quantitative Biology, Fall 2016 College of William and Mary
Intro to Models and Modeling
Lecture Slides Introduction to Quantitative Biology, Fall 2016 College of William and Mary
Introduction to Biostatistics at William and Mary - Spring 2016
Wasserstein, Ronald L., and Nicole A. Lazar. "The ASA's statement on p-values: context, process, and purpose." The American Statistician just-accepted (2016).
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 18: Multiple explanatory variables (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 18: Multiple explanatory variables (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 18: Multiple explanatory variables
Multiple explanatory variables: R code for Chapter 18 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode18
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 17: Regression (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 17: Regression
Regression: R code for Chapter 17 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode17
Correlation between numerical variables: R code for Chapter 16 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode16
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: Correlation between numerical variables
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: The analysis of variance (cont'd) Planned, unplanned comparisons, and random effects ANOVA
Comparing means of more than two groups: R code for Chapter 15 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode15
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: The analysis of variance
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: The analysis of variance (Part II) Up to planned and unplanned comparisons
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 13: Handling violations of assumptions (cont'd)
Handling violations of assumptions: R code for Chapter 13 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode13
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 13: Handling violations of assumptions
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 3: Between-individual variation, replication, and sampling
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 3: Between-individual variation, replication, and sampling
Comparing two means: R code for Chapter 12 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode12
Inference for a normal population: R code for Chapter 11 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode11
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 12: Comparing two means Two-sample t-test; Welch's t-test
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 12: Comparing two means Paired designs
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 11: Inference for a normal population
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 10: The normal distribution
The normal distribution: R code for Chapter 10 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode10
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 9
Contingency analysis: R code for Chapter 9 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode09
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 8: Fitting probability models to frequency data Whitlock & Schluter, Chapter 9: Contingency analysis
Fitting probability models to frequency data: R code for Chapter 8 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode08
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 8 (cont'd) PDF, CDF, CCDF, QF, and CQF
Introduction to Biostatistics at William and Mary - Spring 2016
Errors in hypothesis testing and statistical power Whitlock & Schluter, Chapter 8: Fitting probability models to frequency data
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 7: Analyzing proportions Binomial distribution and binomial test
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 7: Analyzing proportions
Introduction to Biostatistics at William and Mary - Spring 2016
Bayes Theorem and Medical Testing
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 7: Analyzing proportions
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 6: Hypothesis testing
Hypothesis testing: R code for Chapter 6 examples
This document was converted to R-Markdown by M. Drew LaMar from http://whitlockschluter.zoology.ubc.ca/r-code/rcode06.
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 2: Starting with a well-defined hypothesis
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 5: Probability (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 5: Probability
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 4: Estimating with uncertainty
Introduction to Biostatistics at William and Mary - Spring 2016
Introduction to course
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 1: Why you should care about design
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 1: Statistics and samples
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 2: Displaying data
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 4: Estimating with uncertainty
Introduction to Quantitative Biology at William and Mary - Spring 2016
Descriptive statistics Whitlock & Schluter, Chapter 3
Estimating with uncertainty: R code for Chapter 4 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode04
Describing data: R code for Chapter 3 examples
from textbook "The Analysis of Biological Data", by Whitlock and Schluter Original R code located at http://whitlockschluter.zoology.ubc.ca/r-code/rcode03
Displaying data: R code for Chapter 2 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode02
Data visualization (Part 2)
Course: Introduction to Biostatistics at The College of William and Mary, Spring 2016