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R for Data Analysis in Biological Sciences

R for Data Analysis in Biological Sciences

Umesh Rosyara

LAP Lambert Academic Publishing
2011
pokkari
R is leading data analysis software and programming language. It has capacity to handle moderate to large dataset and creating publication ready graphs. This manual is designed as self-help manual useful beginner to more advanced users, with some statistical and computing knowledge. The author hope this manual will be useful for several areas of biological sciences including genetics, molecular biology, genomics, bioinformatics, biotechnology, agriculture, plant science, botany, ecology, breeding, animal breeding, systematics, animal science, human biology, human health, biomedical sciences, environmental science, microbiology, biochemistry and physiology. Examples and r scripts are provided to cover these areas of biological science. Software can be downloaded for free from: www.r-project.org.
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R for alle

R for alle

Thomas Hegghammer

Fagbokforlaget
2024
nidottu
R for alle er en lettfattelig innføringsbok i programmeringsspråket R for humanister og samfunnsvitere. Boken gir håndfaste verktøy som du kan ta i bruk umiddelbart. Du lærer å lage diagrammer, tegne kart, skrape nettsider, trekke ut tekst fra bilder, bygge nettsider og analysere tekst, bilder, lyd og video på spennende nye måter. Eksemplene er hentet fra vikinghistorie, islandsk geografi, skandinavisk kvinnekamp, norske partiprogrammer, nazistpropaganda, 1880-tallskunst og tidlige norske komponister. Mer avanserte teknikker innføres gradvis på en pedagogisk måte, akkompagnert av en R-pakke som gjør det lett å laste ned eksempelkode. Boken egner seg både for deg som er fullstendig nybegynner, for deg som allerede har programmert en stund og for deg som ikke har behov for å gå dypt inn i informatikkens eller statistikkens verden. Thomas Hegghammer er professor i statsvitenskap ved Universitetet i Oxford, hvor han blant annet underviser i programmering for kvalitativ forskning. I tillegg til sin forskning på militant islamisme har han publisert artikler om optisk karaktergjenkjenning og laget R-pakken `daiR`. «R for alle bør være obligatorisk metodepensum for alle norske studenter innen samfunnsvitenskap og humaniora. På en lettlest, morsom og pedagogisk måte åpner boka øynene for alle mulighetene til ny kunnskap som ligger i koding og dataanalyse. Også etablerte forskere kan ha stor nytte av denne boka for å utforske nye muligheter i egen forskning og undervisning.» - Jonas Stein, førsteamanuensis i statsvitenskap, UiT - Norges arktiske universitet «Er data science metoder relevante for humaniora og samfundsfag? R for alle efterlader ingen tvivl om at svaret er ja. Bogen dækker samtlige centrale dele af moderne samfundsvidenskabelig data science, men er samtidig så tilgængelig at alle kan begynde her. Med sin baggrund som historiker har Thomas Hegghammer det perfekte afsæt for at introducere studerende fra humaniora og samfundsfag til de endeløse analytiske muligheder R åbner.» - Frederik Hjorth, førsteamanuensis i statsvitenskap, Københavns Universitet «R for alle er en grundig, velskrevet og nyttig bok for alle som vil lære seg å bruke R for å arbeide med data. Boka er rik på eksempler, og viser med både enkle og mer avanserte metoder hvordan man kan analysere tekst, bilder og lyd digitalt. Hegghammer leder leseren pedagogisk gjennom hele boka, fra innføring i datamaskiners oppbygging og det første oppsettet til bruk av APIer og store språkmodeller.» - Yngvil Beyer, seksjonsleder, Nasjonalbibliotekets labratorium for digital humaniora
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R för samhällsvetare - Lär dig analysera text och siffror

R för samhällsvetare - Lär dig analysera text och siffror

Love Hansson; Erik Hegelund; Gustav Severin Ingman

Studentlitteratur AB
2021
nidottu
Det har aldrig varit enklare att analysera text och siffror med hjälp av datorprogram. I R för samhällsvetare introduceras grunderna till samhällsvetenskaplig analys med hjälp av programmeringsspråket R.R för samhällsvetare visar hur du, genom att lära dig enkla grunder i R, kan utföra effektiv och kraftfull analys av vitt skilda typer av information. R är öppen källkod och kan laddas ner gratis från nätet. Nya funktioner utvecklas hela tiden och dess användningsområden växer. Det har gjort R till ett av de populäraste verktygen för dataanalys.Exemplen i denna bok utgår från samhällsvetenskap. Det är dock enkelt att utifrån dessa gå vidare och använda R inom andra områden, till exempel inom naturvetenskap och humaniora.
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R for Finite Element Analyses of Size-dependent Microscale Structures

R for Finite Element Analyses of Size-dependent Microscale Structures

Khameel B. Mustapha

Springer Verlag, Singapore
2019
nidottu
This book addresses the static and dynamic analysis of linear elastic size-dependent structures based on the modified couple stress theory. It focuses on establishing the governing equations of the size-dependent structures, deriving the associated finite element models, and implementing those models using the R programming language. The implemented functions are employed to develop a special R package (equivalent to a MATLAB toolbox) called microfiniteR for this book. In each chapter, the governing equations are formulated using the variational method, and the behaviour of the structures is examined on the basis of their load-deformation characteristics (in the case of static analyses) and by evaluating their eigenvalues (in the case of dynamics and buckling problems). The first chapter introduces readers to the R programming language, beginning with the resources needed to make use of the language and ending with a list of recommended texts. The remaining chapters cover the requisite linear elastic theory and highlight the implemented R functions. Each chapter concludes with a brief summary and relevant references.
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R for Basic Biostatistics in Medical Research

R for Basic Biostatistics in Medical Research

SPRINGER VERLAG, SINGAPORE
2024
sidottu
The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in utilization of the open-source tools for routine day-to-day data analysis is seriously lacking both among physicians and medical scientists. This book enables physician-scientists to understand the complexity of explaining a programming/ data-analytic language to a healthcare professional and medical scientist. It simplifies and explains how R can be used in medical projects and routine office works. It also talks about the methodologies to convert the knowledge to practice. The book starts with the introduction to the structure of R programming language in the initial chapters, followed with explanations of utilizing R in the basics of data analysis like data importing and exporting, operations on a data frame, parametric and non-parametric tests, regression, sample size calculation, survival analysis, receiver operator characteristic analysis (ROC) and techniques of randomization. Each chapter provides a brief introduction to the involved statistics, for example, dataset, working codes, and a section explaining the codes. In addition to it, a chapter has been dedicated to describing the ways to generate plots using R. This book primarily targets health care professionals and medical/life-science researchers in general.
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Crayola (R) Fun Science Crafts

Crayola (R) Fun Science Crafts

Rebecca Felix

Lerner Publications (Tm)
2019
sidottu
Exploring science is fun and colorful with these Crayola crafts Easy to follow instructions and photos guide readers through making projects. A QR code for each project links to a digital landing page showing more detailed steps and photos.
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H.R.F. Keating, Post-Colonial Detection

H.R.F. Keating, Post-Colonial Detection

Bowling Green University Popular Press,US
1993
nidottu
In Keating's novels, set in India, the bumbling, but always human, Inspector Ghote manages to solve crimes with a post-colonial mix of inherited Scotland Yard/Holmesian deductive methods and his understanding of his native country's culture. This book is based on the premise that successful sleuths have much in common with cultural anthropologists-indeed the latter have often been termed detectives of cultures. Keating's Ghote novels are in the tradition of Tony Hillerman's Navajo Indian mysteries, and James McClure's South African novels, which serve up the human, experiential aspects of the cultural and ethnic conflicts that newspapers miss.
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The R.F.C. in the Great War

The R.F.C. in the Great War

Wing Adjutant; A G Hales; H Harper

Leonaur Ltd
2022
sidottu
Descriptions of the early days of British air powerThis unique Leonaur book contains two accounts of aerial warfare during the First World War. The first describes the Royal Flying Corps from the perspective of one its senior officers. The topics covered include how the first pilots were drawn into the service and how they were trained to become flyers. On the battlefront, long reconnaissance operations, routine patrolling, artillery observation work, bombing and photography missions and air combat are all covered. The function of headquarters, the RFC's activities beyond the Western Front and in the sideshow theatres of the war, the development and future of the air force are also considered. The second piece in this book contains anecdotes by several airmen on topics which include fighting the German Zeppelin menace and the triumph of allied air-power in 1918 in the battle for Amiens. Includes for the first time illustrations and photographs not previously published with either text.Leonaur editions are newly typeset and are not facsimiles; each title is available in softcover and hardback with dustjacket.
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The R.F.C. in the Great War

The R.F.C. in the Great War

Wing Adjutant; A G Hales; H Harper

Leonaur Ltd
2022
pokkari
Descriptions of the early days of British air powerThis unique Leonaur book contains two accounts of aerial warfare during the First World War. The first describes the Royal Flying Corps from the perspective of one its senior officers. The topics covered include how the first pilots were drawn into the service and how they were trained to become flyers. On the battlefront, long reconnaissance operations, routine patrolling, artillery observation work, bombing and photography missions and air combat are all covered. The function of headquarters, the RFC's activities beyond the Western Front and in the sideshow theatres of the war, the development and future of the air force are also considered. The second piece in this book contains anecdotes by several airmen on topics which include fighting the German Zeppelin menace and the triumph of allied air-power in 1918 in the battle for Amiens. Includes for the first time illustrations and photographs not previously published with either text.Leonaur editions are newly typeset and are not facsimiles; each title is available in softcover and hardback with dustjacket.
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Scha(r)f nachgedacht

Scha(r)f nachgedacht

Matthias Schönberg

Books on Demand
2022
pokkari
Vier Kurzgeschichten ber ein Schaf namens Fl ckchen, welches auf einem Deich in Nordfriesland lebt und alles wissen will. Doch wieviel ist 'alles'? Und berhaupt Das Sammeln von Wissen kann anstrengend sein, so erh lt es Unterst tzung von einem Leuchtturm und einem Lamm namens W lkchen. Zusammen ist alles viel einfacher und macht zudem Spass.
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Using R for Data Analysis in Social Sciences

Using R for Data Analysis in Social Sciences

Quan Li

Oxford University Press Inc
2018
sidottu
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
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Using R for Data Analysis in Social Sciences

Using R for Data Analysis in Social Sciences

Quan Li

Oxford University Press Inc
2018
nidottu
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
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Using R for Modelling and Quantitative Methods in Fisheries

Using R for Modelling and Quantitative Methods in Fisheries

Malcolm Haddon

CRC Press
2020
nidottu
Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.Featured Chapters: Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.
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Using R for Modelling and Quantitative Methods in Fisheries

Using R for Modelling and Quantitative Methods in Fisheries

Malcolm Haddon

CRC Press
2020
sidottu
Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.Featured Chapters: Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.
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