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@@ -4,10 +4,10 @@ author: "Alex O. Holcombe" | |
date: "" | ||
tags: [Textbook, Psychology] | ||
link: "https://psyc2016.whatanimalssee.com/" | ||
length_weight: "8.3%" | ||
length_weight: "8.4%" | ||
cover: "https://psyc2016.whatanimalssee.com/imagesForRmd/threeWiseMonkeys/Three_Wise_Monkeys_640px.jpeg" | ||
repo: "alexholcombe/PSYC2016attention" | ||
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A short textbook on the psychology of attention, mostly visual attention, written for PSYC2016 at the University of Sydney. It uses a principles-based approach with an emphasis on demonstration of the phenomena covered using visual demonstrations: images and animations. [...] This is a mini-textbook on attention. It was written for PSYC2016 at the University of Sydney, but may be suitable for everyone. Some sections may be refined after each of my lectures. Please let me know about any typos or unclear bits! You can contact me (he/him) via email ([email protected]), Mastodon, or ... | ||
A short textbook on the psychology of attention, mostly visual attention, written for PSYC2016 at the University of Sydney. It uses a principles-based approach with an emphasis on demonstration of the phenomena covered using visual demonstrations: images and animations. [...] This is a mini-textbook on attention. It was written for PSYC2016 at the University of Sydney, but is likely to be suitable for everyone. Please let me know about any typos or unclear bits! You can contact me (he/him) via email ([email protected]), Mastodon, or twitter. You can read this mini-text here on the ... |
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4 changes: 2 additions & 2 deletions
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content/archive/internal/abigailkeller-greencrabtools-guide.md
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title: "Green Crab Management Tools: A Guide" | ||
author: "Abby Keller" | ||
date: "2023-07-20T18:38:44Z" | ||
date: "2023-08-28T23:12:38Z" | ||
tags: [Guide] | ||
link: "https://bookdown.org/abigailkeller/greencrabtools_guide/" | ||
length_weight: "4%" | ||
repo: "rstudio/bookdown-demo" | ||
pinned: false | ||
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This is a guide to illustrate the functions and tools contained within the European Green Crab Management Tools web app. A trap or environmental DNA (eDNA) collection is a probabilistic sample of the true state of the environment. This idea is fundamental to the web app. True capture rate and trap-adjusted capture rate are two key terms that will be used frequently throughout. For a given spatial extent, time of year, and trap efficiency, green crabs will be caught at a true rate that serves as a proxy for the true density of crabs in the trapped area. When you set traps to capture crabs, ... | ||
This is a guide to illustrate the functions and tools contained within the European Green Crab Management Tools web app. To plan or interpret green crab monitoring and removal efforts, it is necessary to understand how the true state of the system produces our observations of the system. A trap or environmental DNA (eDNA) collection is a probabilistic sample of the true state of the environment. This idea is fundamental to the web app. True capture rate and trap-adjusted capture rate are two key terms that will be used frequently throughout. For a given spatial extent, time of year, and trap ... |
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13 changes: 13 additions & 0 deletions
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content/archive/internal/bsosnovski-intro-stats-excel-lab-manual4.md
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title: "Introduction to Statistics: Excel Lab Manual" | ||
author: "Bianca Sosnovski" | ||
date: "2023-08-29T01:16:48Z" | ||
tags: [Statistics, Course, Market] | ||
link: "https://bookdown.org/bsosnovski/intro-stats-excel-lab-manual4/" | ||
length_weight: "5.9%" | ||
cover: "https://bookdown.org/bsosnovski/intro-stats-excel-lab-manual4/images/cover-page.png" | ||
repo: "https://github.com/bsosnovski/Intro-Stats-Excel-Lab-Manual" | ||
pinned: false | ||
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This is an Excel computer lab manual to be used in an Introduction to Statistics course at QCC. [...] Statistics is present in many ways in our lives. Statistical methodology can be found in surveys, sampling, clinical trials, studies of biomedical treatments, digital marketing, finance, etc. In recent years, Statistics has undergone changes in its techniques and approaches because of the need to analyze exceptionally large and complex data sets that arise all around us but cannot be done by hand. Since we have more powerful computers available to us at the present time, we can employ them to ... |
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6 changes: 3 additions & 3 deletions
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...ve/internal/hannahlunkenheimer-syllabi.md → ...e/internal/hannahlunkenheimer-syllabus.md
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title: "Data Science for All" | ||
author: "Kristopher Pruitt" | ||
date: "2023-08-29T22:54:46Z" | ||
tags: [Data Science, Textbook, R Programming] | ||
link: "https://bookdown.org/kristopher_pruitt/DS-for-All/" | ||
length_weight: "100%" | ||
pinned: false | ||
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Data Science for All [...] This textbook is currently in DRAFT form and will be updated frequently. The objective of this textbook is to provide an approachable introduction to the knowledge, skills, and abilities of modern data scientists. Data-driven problem solving need not be restricted to the realm of advanced mathematics or expert computer programming. Data science can and should be practiced by all. In this text, we unveil the methods and tools applied by data scientists to solve real-world problems in a variety of domains. However, the content is accessible for anyone with the ... |
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title: "Introduction to Applied Experimental Design and Statistical Analysis with R" | ||
author: "Karin Vorwerk, Ph.D. " | ||
date: "2023-08-24T15:29:34Z" | ||
tags: [Course, Statistics, Guide, Visualization] | ||
link: "https://bookdown.org/kvorwerk/complete/" | ||
length_weight: "9.3%" | ||
repo: "rstudio/bookdown-demo" | ||
pinned: false | ||
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A book created with bookdown. [...] This book provides an introduction to R and also serves as a first course in the study of experimental design and applied statistical analysis. We only assume a basic understanding of statistics, but no prior knowledge of R. The first few sections of this book will guide you through the installation of R and RMarkdown, and introduce you to the syntax of R and RMarkdown, functions, data types, and basic data visualization. We will then review statistical concepts needed and discuss experiment design, data collection, how to import and export data, and data ... |
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content/archive/internal/kynclova-petra-igi-methodology.md
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title: "Inclusive Growth Index - Methodology" | ||
author: "Nour Barnat, Diana Camerini, Petra Kynclova, Cloe Schaub" | ||
date: "2023-08-30T21:53:39Z" | ||
tags: [Guide, GPU] | ||
link: "https://bookdown.org/kynclova_petra/IGI_methodology/" | ||
length_weight: "4.3%" | ||
repo: "rstudio/bookdown-demo" | ||
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This is a methodological guide for compilation of the Inclusive Growth Index (IGI). Each chapter contains detailed information about individual steps required for the IGI compilation and production. The Inclusive Growth Index is a composite indicator of growth developed by UNCTAD. In the version developed in 2022 (see SDG Pulse 2022), it consists of 27 baseline indicators, grouped in 4 pillars (economic growth, living conditions, equality and environment). The SDG Pulse 2022 chapter is available at: https://sdgpulse.unctad.org/inclusive-growth/ To produce annual releases of the indicator, a ... |
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title: "Introduction to Inferential Statistics" | ||
author: "Dr. Marc Trussler" | ||
date: "2023-08-10T14:48:44Z" | ||
date: "2023-08-30T18:40:42Z" | ||
tags: [Statistics, Data Science, Tidy] | ||
link: "https://bookdown.org/marc_trussler/IIS/" | ||
length_weight: "6.7%" | ||
pinned: false | ||
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Class notes for PSCI-1801 [...] Current as of 2023-08-10 Draft version of syllabus subject to change. Lecture: MW 12-1:30pm (Room TBD) Dr. Marc Trussler [email protected] Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley [email protected] Fox-Fels Hall 3X (3814 Walnut Street) Office Hours: TBD The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate ... | ||
Class notes for PSCI-1801 [...] Current as of 2023-08-30 Lecture: MW 12-1:30pm (MCNB 309) Dr. Marc Trussler [email protected] Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley [email protected] Fox-Fels Hall 35 (3814 Walnut Street) Office Hours: Tuesday 11-12 Tuesday 3-4 Thursday 12-1 The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The ... |
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4 changes: 2 additions & 2 deletions
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content/archive/internal/martin-monkman-datapreparationjourney.md
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title: "The Data Preparation Journey" | ||
author: "Martin Monkman" | ||
date: "2023-07-31T14:34:10Z" | ||
date: "2023-08-26T17:47:58Z" | ||
tags: [Tidy, Data Science, Visualization, Textbook] | ||
link: "https://bookdown.org/martin_monkman/DataPreparationJourney/" | ||
length_weight: "100%" | ||
repo: "MonkmanMH/data_preparation_with_r" | ||
pinned: false | ||
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Before you can analyze your data, you need to ensure that it is clean and tidy. [...] Welcome to The Data Preparation Journey: Finding Your Way With R, a forthcoming book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2023-07-31. It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog ... | ||
Before you can analyze your data, you need to ensure that it is clean and tidy. [...] Welcome to The Data Preparation Journey: Finding Your Way With R, a forthcoming book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2023-08-26. It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog ... |
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content/archive/internal/max-ricciardelli-forecasting-book.md
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title: "Economics 395: Forecasting" | ||
author: "Jaya Jha" | ||
date: "2023-08-27T18:31:21Z" | ||
tags: [Forecasting, Course, Textbook, Visualization] | ||
link: "https://bookdown.org/max_ricciardelli/forecasting_book/" | ||
length_weight: "7.3%" | ||
pinned: false | ||
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Economics 395: Forecasting [...] This resource is a compilation of Dr. Jaya Jha’s notes and code for Economics 395: Economic Forecasting. This course uses Introduction to Time Series Analysis and Forecasting as the primary textbook.1 The code sections for this class use the same data and visualizations from Introduction to Time Series Analysis and Forecasting, but not the methods.2 The methods used are from Forecasting: Principles and Practice by Rob J. Hyndman and George Athanasopoulos.3 Montgomery, Jennings, and Kulahci, Introduction to Time Series Analysis and Forecasting.↩︎ Montgomery, ... |
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