Hypothesis

8 Matching Annotations

May 2024
bookdown.org bookdown.org

4.2 Set the document title dynamically | R Markdown Cookbook

1
1. pbk1 16 May 2024
  
  in Public
  
  You can use inline R code (see Section 3.1) anywhere in an Rmd document, including the YAML metadata section. This means some YAML metadata can be dynamically generated with inline R code, such as the document title
  
  Does this apply to .qmd documents?
  
  quarto YAML inline R code dynamic
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inline R code

quarto

YAML

dynamic

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pbk1

URL

bookdown.org/yihui/rmarkdown-cookbook/dynamic-yaml.html
May 2020
psyarxiv.com psyarxiv.com

A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker

1
1. Marlene_Wulf 29 May 2020
  
  in BehSci
  
  Peikert, A., & Brandmaier, A. M. (2019). A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker. https://doi.org/10.31234/osf.io/8xzqy
  
  is:preprint lang:en open science R reproducibility containerization dependency management literate programming version management data Markdown Git Make Docker code data
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R

is:preprint

Docker

code

Make

containerization

dependency management

reproducibility

Markdown

lang:en

Git

literate programming

open science

data

version management

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Marlene_Wulf

URL

psyarxiv.com/8xzqy/
easystats.github.io easystats.github.io

Understand and Describe Bayesian Models and Posterior Distributions

1
1. edampf 07 May 2020
  
  in BehSci
  
  is:other lang:en R Bayesian code modeling package function download analysis
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R

modeling

code

function

is:other

download

lang:en

Bayesian

package

analysis

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edampf

URL

easystats.github.io/bayestestR/
github.com github.com

rmcelreath/statrethinking_winter2019

1
1. edampf 07 May 2020
  
  in BehSci
  
  McElreath, R. Statistical Rethinking: A Bayesian Course Using R and Stan Github.com. https://github.com/rmcelreath/statrethinking_winter2019
  
  Entire course with materials online.
  
  is:other lang:en Bayesian Stan R statistics MPI code Github lecture course
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R

code

course

is:other

statistics

lang:en

Bayesian

MPI

Github

lecture

Stan

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edampf

URL

github.com/rmcelreath/statrethinking_winter2019
Apr 2020
emljames.github.io emljames.github.io

Tutorial Home

1
1. edampf 23 Apr 2020
  
  in BehSci
  
  James, E. Tutorial Home. Github.io. https://emljames.github.io/GorillaR/
  
  is:webpage lang:en introduction R tidyverse Gorilla code online data collection data data manipulation tutorial
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data collection

R

tutorial

code

is:webpage

lang:en

data

introduction

tidyverse

data manipulation

Gorilla

online

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edampf

URL

emljames.github.io/GorillaR/
www.r-bloggers.com www.r-bloggers.com

Multilevel Correlations: A New Method for Common Problems

1
1. edampf 23 Apr 2020
  
  in BehSci
  
  Multilevel correlations: A new method for common problems. (2020 April 13). R-bloggers. https://www.r-bloggers.com/multilevel-correlations-a-new-method-for-common-problems/
  
  is:webpage lang:en tutorial multilevel correlation hierarchical correlations random-effects correlations compute code R data easystats
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R

tutorial

code

multilevel correlation

hierarchical correlations

is:webpage

random-effects correlations

lang:en

easystats

compute

data

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edampf

URL

r-bloggers.com/multilevel-correlations-a-new-method-for-common-problems/
Mar 2020
utstat.toronto.edu utstat.toronto.edu

Design of Scientific Studies - Notes on Week 1

1
1. drfurtado 13 Mar 2020
  
  in Public
  
  2.6 The Normal Distribution
  
  The normal distribution in r
  
  normal curve r code r chunk markdown ksb
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markdown

ksb

normal curve

r code

r chunk

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drfurtado

URL

utstat.toronto.edu/~nathan/teaching/STA305/classnotes/week1/classnotes-week1.html
Jun 2017
scottbot.net scottbot.net

Teaching Yourself to Code in DH – the scottbot irregular

1
1. Mattingly 22 Jun 2017
  
  in Public
  
  Teaching Yourself to Code in DH
  
  #DH code #R
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#R

code

#DH

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Mattingly

URL

scottbot.net/teaching-yourself-to-code-in-dh/