Канал: Equitable Equations

ANOVA in R

ANOVA in R

Understand ANOVA in 8 minutes

Understand ANOVA in 8 minutes

Today I learned in R: skimr and %in%

Today I learned in R: skimr and %in%

Add great alt text to your data visualizations

Add great alt text to your data visualizations

How to move into data science

How to move into data science

Percentiles of continuous distributions

Percentiles of continuous distributions

Overfitting in machine learning

Overfitting in machine learning

Sensitivity, specificity, precision, recall

Sensitivity, specificity, precision, recall

Understanding geom_smooth's default loess method

Understanding geom_smooth's default loess method

Logistic regression with R: example

Logistic regression with R: example

Today I Learned in R: geom_shadowtext with David Keyes

Today I Learned in R: geom_shadowtext with David Keyes

Imputing missing bikeshare data with R

Imputing missing bikeshare data with R

Ethical AI in healthcare with Dr. Heather Mattie

Ethical AI in healthcare with Dr. Heather Mattie

Poisson regression in R

Poisson regression in R

Poisson regression

Poisson regression

Deviance in logistic regression models

Deviance in logistic regression models

Simple linear regression in R

Simple linear regression in R

Today I learned in R: Quarto books

Today I learned in R: Quarto books

Not-so-simple linear regression with R

Not-so-simple linear regression with R

Bibliographies with R and Quarto

Bibliographies with R and Quarto

Beautiful tables with the gt package

Beautiful tables with the gt package

Cross references in R and Quarto

Cross references in R and Quarto

Beautiful presentations with R and Quarto

Beautiful presentations with R and Quarto

Better quality of life in R and RStudio

Better quality of life in R and RStudio

Return of the starwars data set

Return of the starwars data set

LaTeX for R users

LaTeX for R users

Using Quarto with R and Python for reports, slides, and web publishing

Using Quarto with R and Python for reports, slides, and web publishing

Understanding the structure of R functions

Understanding the structure of R functions

The gamma function

The gamma function

Today I learned in R: Quarto

Today I learned in R: Quarto

Object of type closure is not subsettable. #rstats

Object of type closure is not subsettable. #rstats

Write your own R functions

Write your own R functions

How to add annotations to ggplots in R

How to add annotations to ggplots in R

Log-normal calculations using R

Log-normal calculations using R

The log-normal distribution

The log-normal distribution

Regression analysis in R: backward selection

Regression analysis in R: backward selection

Computing normal probabilities: examples

Computing normal probabilities: examples

Mutating data frames with case_when

Mutating data frames with case_when

Data visualization with R in 36 minutes

Data visualization with R in 36 minutes

Scatterplots and regression lines in R

Scatterplots and regression lines in R

If-else statements in R

If-else statements in R

Help with R infix functions #rstats

Help with R infix functions #rstats

Data analysis with R: the Billboard Hot 100

Data analysis with R: the Billboard Hot 100

Controlling the family-wise error rate

Controlling the family-wise error rate

Avoiding data dredging

Avoiding data dredging

Simpson's paradox

Simpson's paradox

How to create an "other" category in R

How to create an "other" category in R

How to make a pride flag with R

How to make a pride flag with R

Today I learned in R: neater code & better piping

Today I learned in R: neater code & better piping

Data wrangling with R in 27 minutes

Data wrangling with R in 27 minutes

Binning quantitative variables in R

Binning quantitative variables in R

Logistic regression in R

Logistic regression in R

Logistic regression

Logistic regression

The logit transformation

The logit transformation

Odds and odds ratios

Odds and odds ratios

How to subset rows in R with filter()

How to subset rows in R with filter()

Correlation testing in R

Correlation testing in R

Tidy Tuesday analysis: Ravelry yarn

Tidy Tuesday analysis: Ravelry yarn

Nested data frames and multiple models in R

Nested data frames and multiple models in R

How to purrr

How to purrr

Chi-squared testing for homogeneity in R

Chi-squared testing for homogeneity in R

Contingency tables in R

Contingency tables in R

Learn R in 39 minutes

Learn R in 39 minutes

What is Anscombe's quartet?

What is Anscombe's quartet?

Goodness of fit testing with R: example

Goodness of fit testing with R: example

Understanding the chi-squared distribution

Understanding the chi-squared distribution

Today I learned in R: Select and fill

Today I learned in R: Select and fill

Data analysis with R: floristic quality data

Data analysis with R: floristic quality data

Better use of color in R

Better use of color in R

Data analysis with R: Scooby Doo!

Data analysis with R: Scooby Doo!

Combining columns in R with unite()

Combining columns in R with unite()

Essential R tools for regression modeling

Essential R tools for regression modeling

Today I learned in R - native pipes and the cut function

Today I learned in R - native pipes and the cut function

Data analysis with R: US colleges

Data analysis with R: US colleges

R programming - What we learned today. Episode 1

R programming - What we learned today. Episode 1

Why we love using R programming for data analysis

Why we love using R programming for data analysis

What is R Markdown?

What is R Markdown?

Working with lists in R

Working with lists in R

The gamma distribution in R

The gamma distribution in R

The gamma distribution

The gamma distribution

Tidy data

Tidy data

Locating files in R with here()

Locating files in R with here()

Using RStudio projects

Using RStudio projects

Arranging ggplot bar charts by frequency

Arranging ggplot bar charts by frequency

Multiple regression in R: example

Multiple regression in R: example

ANOVA in R: a complete example

ANOVA in R: a complete example

Hypothesis testing in R

Hypothesis testing in R

Beautiful bar charts in R

Beautiful bar charts in R

What are order statistics?

What are order statistics?

Statistical power and sample size

Statistical power and sample size

A simple introduction to statistical power

A simple introduction to statistical power

Splitting columns in R with the separate() command

Splitting columns in R with the separate() command

Splitting data frames in R

Splitting data frames in R

Repositioning ggplot legends in R

Repositioning ggplot legends in R

Better box plots in R with ggplot()

Better box plots in R with ggplot()

Maximum likelihood estimation - example

Maximum likelihood estimation - example

The normal distribution in R

The normal distribution in R

Multiple linear regression with interaction in R

Multiple linear regression with interaction in R

Linear modeling in R using categorical variables - parallel slopes models

Linear modeling in R using categorical variables - parallel slopes models

Prediction intervals for linear models in R

Prediction intervals for linear models in R

Multiple linear regression in R

Multiple linear regression in R

Two Sample t-Tests in R

Two Sample t-Tests in R

Combining Data Sets in R with left_join()

Combining Data Sets in R with left_join()

R^2: the Coefficient of Determination

R^2: the Coefficient of Determination

Tidying data in R with pivot_wider()

Tidying data in R with pivot_wider()

The Negative Binomial Distribution in R

The Negative Binomial Distribution in R

The Negative Binomial Distribution

The Negative Binomial Distribution

Creating Columns in R with mutate()

Creating Columns in R with mutate()

Data Wrangling In R with group_by() and summarise()

Data Wrangling In R with group_by() and summarise()

Reordering Rows in R with arrange()

Reordering Rows in R with arrange()

The Exponential Distribution in R

The Exponential Distribution in R

The Exponential Distribution

The Exponential Distribution

Bayes' Theorem

Bayes' Theorem

Residual Plots in R

Residual Plots in R

Generating qq-plots in R

Generating qq-plots in R

Introducing qq-plots

Introducing qq-plots

Outliers: Leverage, Discrepancy, and Influence

Outliers: Leverage, Discrepancy, and Influence

Graphing Functions in R using ggplot()

Graphing Functions in R using ggplot()

The Mean, Variance & Standard Deviation of Continuous Random Variables

The Mean, Variance & Standard Deviation of Continuous Random Variables

Scripts in RStudio

Scripts in RStudio

Matrices in R

Matrices in R

Generating Sequences in R

Generating Sequences in R

Tidying Data in R with pivot_longer()

Tidying Data in R with pivot_longer()

Moment-Generating Functions (Discrete Case)

Moment-Generating Functions (Discrete Case)

The Law of Total Probability

The Law of Total Probability

The Geometric Distribution in R

The Geometric Distribution in R

Exponential Growth and Decay

Exponential Growth and Decay

The Geometric Distribution

The Geometric Distribution

Integrals Involving Inverse Trig Functions: Harder Examples

Integrals Involving Inverse Trig Functions: Harder Examples

Factors in R: Recode, Relevel, Reorder

Factors in R: Recode, Relevel, Reorder

Solving Logarithmic Equations

Solving Logarithmic Equations

Solving Exponential Equations

Solving Exponential Equations

Integrals Involving Trigonometric Functions

Integrals Involving Trigonometric Functions

Trig Application: Finding the Height of a Building

Trig Application: Finding the Height of a Building

Factor Variables in R

Factor Variables in R

Graphing Tangent and Cotangent Functions

Graphing Tangent and Cotangent Functions

Graphing Secant and Cosecant Functions

Graphing Secant and Cosecant Functions

Organizing Columns in R with select()

Organizing Columns in R with select()

Graphing Sine and Cosine Functions

Graphing Sine and Cosine Functions

Regression and Prediction in R Using the lm() Command

Regression and Prediction in R Using the lm() Command

Simplifying Trigonometric Expressions

Simplifying Trigonometric Expressions

The Addition Rule for Probabilities

The Addition Rule for Probabilities

Trig Functions of any Angle

Trig Functions of any Angle

7-Minute Review: Unit Circle Trigonometry

7-Minute Review: Unit Circle Trigonometry

Graphics in R with ggplot()

Graphics in R with ggplot()

Finding Critical Values: an Example

Finding Critical Values: an Example

The Definition of the Definite Integral

The Definition of the Definite Integral

Area as a Limit

Area as a Limit

The Poisson Distribution in R

The Poisson Distribution in R

7-Minute Review: Angles and Angle Measure

7-Minute Review: Angles and Angle Measure

Two Special Right Triangles

Two Special Right Triangles

The Poisson Distribution

The Poisson Distribution

Trigonometric Limits

Trigonometric Limits

Differentiating Trig Functions

Differentiating Trig Functions

The filter() Command in R

The filter() Command in R

7-Minute Review: Right Triangle Trigonometry

7-Minute Review: Right Triangle Trigonometry

Chi-Squared Testing for Independence in R

Chi-Squared Testing for Independence in R

Chi-Squared Goodness-of-Fit Testing in R

Chi-Squared Goodness-of-Fit Testing in R

Hypergeometric Distributions in R

Hypergeometric Distributions in R

Hypergeometric distributions

Hypergeometric distributions

Approximating Distance In Calculus

Approximating Distance In Calculus

Goodness-of-Fit Testing

Goodness-of-Fit Testing

Approximating Area Using Rectangles

Approximating Area Using Rectangles

Linear Approximation: Example

Linear Approximation: Example

Hypothesis Testing: One- and Two-Sided Alternatives

Hypothesis Testing: One- and Two-Sided Alternatives

Statistical Significance

Statistical Significance

Introduction to Hypothesis Testing

Introduction to Hypothesis Testing

Linearization and Linear Approximation

Linearization and Linear Approximation

Concavity and the Second Derivative

Concavity and the Second Derivative

The First Derivative Test: Example

The First Derivative Test: Example

Chi-Squared Calculations in R

Chi-Squared Calculations in R

The Chi-Squared Distribution

The Chi-Squared Distribution

Confidence Intervals for Proportions: Examples

Confidence Intervals for Proportions: Examples

Confidence Intervals for Proportions

Confidence Intervals for Proportions

Absolute Extrema and the Closed Interval Method

Absolute Extrema and the Closed Interval Method

Critical Points and Extreme Values of Functions

Critical Points and Extreme Values of Functions

Implicit Differentiation: Example

Implicit Differentiation: Example

More Differentiation Practice

More Differentiation Practice

Calculating Probabilities Using the Central Limit Theorem: Examples

Calculating Probabilities Using the Central Limit Theorem: Examples

Related Rates: The Chicago Trains Problem

Related Rates: The Chicago Trains Problem

Related Rates: The Lamp Post Problem

Related Rates: The Lamp Post Problem

Continuous Random Variables

Continuous Random Variables

Related Rates: First Examples

Related Rates: First Examples

Applications of the Derivative

Applications of the Derivative

Implicit Differentiation

Implicit Differentiation

Conditional Probability and the Multiplication Rule

Conditional Probability and the Multiplication Rule

The Chain Rule

The Chain Rule

Sketching Derivatives From Graphs

Sketching Derivatives From Graphs

Binomial Calculations in R

Binomial Calculations in R

Probability Histograms in R

Probability Histograms in R

The Definition of the Derivative as a Function

The Definition of the Derivative as a Function

Rational Functions and their Graphs

Rational Functions and their Graphs

Arithmetic with Complex Numbers

Arithmetic with Complex Numbers

Factoring Using the Rational Root and Factor Theorems

Factoring Using the Rational Root and Factor Theorems

Orthogonal Matrices

Orthogonal Matrices

Computing Inverse Functions

Computing Inverse Functions

Inverse functions

Inverse functions

The Inverse of a Matrix

The Inverse of a Matrix

Multiplying Matrices

Multiplying Matrices

Matrices and Matrix Arithmetic

Matrices and Matrix Arithmetic