R Archives - Page 6 of 6 - Complementary Training

“Power” to detect statistically significant effects based on sample size and magnitudes of effects

I was going through magnitude-based inferences materials by Will Hopkins and I am playing with R simulations. I wanted to see how many times I am able to detect statistically significant effects (p<0.05) depending on mag…

Mladen Jovanović February 12, 2014

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Playbook: Understanding MODERATION Through Simulation

Playbook: Understanding MODERATION Through Simulation Introduction I recently spoke with my college professor regarding the understanding of statistics, and I remarked that I learn the statistical concept the best (and w…

Mladen Jovanović December 31, 2013

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How to Visualize Test Change Scores for Coaches [Part 2]

To continue the previous How to visualize test change scores for coaches blogpost, here is another way to visualize individual change scores without falling for group averages. This way we can easily see individual ranks…

Mladen Jovanović December 26, 2013

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Understanding Inferential Statistics Using Correlation Example

In the following R and knitr experiment/blog post I will be documenting my play with correlation and inferences. I am just reading Discovering Statistics Using R by Andy Field and I am trying to code some staff from the …

Mladen Jovanović November 19, 2013

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Quick correction in simulating Typical Error

I am awaiting review and opinions/critiques from statistics wizard Will Hopkins for my How to visualize test change scores for coaches, but even on his first look he pointed to one small error I did in simulating typical…

Mladen Jovanović November 12, 2013

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How to Visualize Test Change Scores for Coaches

Coaches are not interested in making inferences to a population, statistical significance, nor mean values (P<0.01). What they are interested are individual athletes, their reactions to training and what are practically …

Mladen Jovanović November 9, 2013

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Real-Time Fatigue Monitoring using Metabolic Power and CP/W’

Over the years there were couple of tries to monitor fatigue real-time in team sports, such as soccer. The most simple one was to use heart rate (HR) data and see if the players were getting tired by checking if the HR w…

Mladen Jovanović October 26, 2013

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Playing with R, ggplot2 and knitr

Over the last month I have been learning R programming language that is completely FREE and used extensively in statistics and data analysis. I have been also playing with ggplot2 which is a great graphics package for R,…

Mladen Jovanović October 24, 2013

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Interested in Learning Statistics and R? Start Here!

Interested in Learning Statistics and R? Start Here! Just a quick heads-up. I recently came across Coursera – a website offering FREE education: About Coursera We are a social entrepreneurship company that partners wit…

Mladen Jovanović October 10, 2012

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Tag: R

“Power” to detect statistically significant effects based on sample size and magnitudes of effects

Playbook: Understanding MODERATION Through Simulation

How to Visualize Test Change Scores for Coaches [Part 2]

Understanding Inferential Statistics Using Correlation Example

Quick correction in simulating Typical Error

How to Visualize Test Change Scores for Coaches

Real-Time Fatigue Monitoring using Metabolic Power and CP/W’

Playing with R, ggplot2 and knitr

Interested in Learning Statistics and R? Start Here!

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