Posted by R on Stats and R

COVID-19 in Belgium

Introduction Top R resources on Coronavirus Coronavirus dashboard for your own country Motivations, limitations and structure of the article Analysis of Coronavirus in Belgium A classic epidemiological model: the SIR model Fitting a SIR model to the Belgium data Reproduction number … Continue reading →

COVID-19 in Belgium

Introduction Top R resources on Coronavirus Coronavirus dashboard for your own country Motivations, limitations and structure of the article Analysis of Coronavirus in Belgium A classic epidemiological model: the SIR model Fitting a SIR model to the Belgium data Reproduction number … Continue reading →

How to create a simple Coronavirus dashboard specific to your country in R

Introduction Top R resources on Coronavirus Coronavirus dashboard: the case of Belgium How to create your own Coronavirus dashboard Additional notes Data Open source Accuracy Coronavirus dashboard: the case of Belgium Introduction The Novel COVID-19 Coronavirus is the hottest topic … Continue reading →

How to create a simple Coronavirus dashboard specific to your country in R

Introduction Top R resources on Coronavirus Coronavirus dashboard: the case of Belgium How to create your own Coronavirus dashboard Additional notes Data Open source Accuracy Publish your dashboard Coronavirus dashboard: the case of Belgium Introduction The Novel COVID-19 Coronavirus is … Continue reading →

How to do a t-test or ANOVA for more than one variable at once in R

Introduction Perform multiple tests at once Concise and easily interpretable results T-test Additional p-value adjustment methods ANOVA To go even further References Introduction As part of my teaching assistant position in a Belgian university, students often ask me for some help in … Continue reading →

How to do a t-test or ANOVA for many variables at once in R and communicate the results in a better way

Introduction Perform multiple tests at once Concise and easily interpretable results T-test ANOVA To go even further Photo by Teemu Paananen Introduction As part of my teaching assistant position in a Belgian university, students often ask me for some help in their statistical analyses … Continue reading →

Top 5 R resources on COVID-19 Coronavirus

R Shiny apps Coronavirus tracker COVID-19 outbreak R packages {nCov2019} R code Analyzing COVID-19 outbreak data with R COVID-19 Data Analysis with {tidyverse} and {ggplot2} Data Photo by CDC The Coronavirus is a serious concern around the globe. With its expansion, there are also more … Continue reading →

Top 100 R resources on Novel COVID-19 Coronavirus

R Shiny apps and dashboards Coronavirus tracker Coronavirus dashboard from the {coronavirus} package COVID-19 Global Cases Visualization of Covid-19 Cases Modeling COVID-19 Spread vs Healthcare Capacity COVID-19 Data Visualization Platform Coronavirus 10-day forecast Coronavirus (COVID-19) … Continue reading →

How to perform a one sample t-test by hand and in R: test on one mean

Introduction Null and alternative hypothesis Hypothesis testing Two versions of the one sample t-test How to compute the one sample t-test by hand? Scenario 1: variance of the population is known Scenario 2: variance of the population is unknown How to compute the one sample t-test in … Continue reading →

How to perform a one sample t-test by hand and in R: test on one mean

Introduction Null and alternative hypothesis Hypothesis testing Two versions of the one sample t-test How to compute the one sample t-test by hand? Scenario 1: variance of the population is known Scenario 2: variance of the population is unknown Different underlying distributions for the … Continue reading →

The 9 concepts and formulas in probability that every data scientist should know

What is probability? 1. A probability is always between 0 and 1 2. Compute a probability 3. Complement of an event 4. Union of two events 5. Intersection of two events 6. Independence of two events 7. Conditional probability Bayes’ theorem Example 8. Accuracy measures False negatives False … Continue reading →

The 9 concepts and formulas in probability that every data scientist should know

What is probability? 1. A probability is always between 0 and 1 2. Compute a probability 3. Complement of an event 4. Union of two events 5. Intersection of two events 6. Independence of two events 7. Conditional probability Bayes’ theorem Example 8. Accuracy measures False negatives False … Continue reading →

Student’s t-test in R and by hand: how to compare two groups under different scenarios

Introduction Null and alternative hypothesis Hypothesis testing Different versions of the Student’s t-test How to compute Student’s t-test by hand? Scenario 1: Independent samples with 2 known variances Scenario 2: Independent samples with 2 equal but unknown variances Scenario 3: … Continue reading →

Student’s t-test in R and by hand: how to compare two groups under different scenarios

Introduction Null and alternative hypothesis Hypothesis testing Different versions of the Student’s t-test How to compute Student’s t-test by hand? Scenario 1: Independent samples with 2 known variances Scenario 2: Independent samples with 2 equal but unknown variances Scenario 3: … Continue reading →

Correlogram in R: how to highlight the most correlated variables in a dataset

Introduction Correlation matrix Correlogram Correlation test Code Photo by Pritesh Sudra Introduction Correlation, often computed as part of descriptive statistics, is a statistical tool used to study the relationship between two variables, that is, whether and how strongly couples of … Continue reading →