Statistics for Linguistics with R: a Practical Introduction
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
De Gruyter
2013
|
| Ausgabe: | 2nd ed |
| Schriftenreihe: | Mouton textbook
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | 3.1. Goodness-of-fit tests Print version record |
| Beschreibung: | 1 online resource (374 pages) |
| ISBN: | 3110307472 9783110307474 |
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| 505 | 8 | |a Preface; Chapter 1. Some fundamentals of empirical research; 1. Introduction; 2. On the relevance of quantitative methods in linguistics; 3. The design and the logic of quantitative studies; 3.1. Scouting; 3.2. Hypotheses and operationalization; 3.2.1. Scientific hypotheses in text form; 3.2.2. Operationalizing your variables; 3.2.3. Scientific hypotheses in statistical/mathematical form; 3.3. Data collection and storage; 3.4. The decision; 3.4.1. One-tailed p-values from discrete probability distributions; 3.4.2. Two-tailed p-values from discrete probability distributions | |
| 505 | 8 | |a 3.4.3. Extension: continuous probability distributions4. The design of a factorial experiment: introduction; 5. The design of a factorial experiment: another example; Chapter 2. Fundamentals of R; 1. Introduction and installation; 2. Functions and arguments; 3. Vectors; 3.1. Generating vectors; 3.2. Loading and saving vectors; 3.3. Editing vectors; 4. Factors; 4.1. Generating factors; 4.2. Loading and saving factors; 4.3. Editing factors; 5. Data frames; 5.1. Generating data frames; 5.2. Loading and saving data frames; 5.3. Editing data frame s; 6. Some programming: conditionals and loops | |
| 505 | 8 | |a 6.1. Conditional expressions6.2. Loops; 7. Writing your own little functions; Chapter 3. Descriptive statistics; 1. Univariate statistics; 1.1. Frequency data; 1.1.1. Scatterplots and line plots; 1.1.2. Pie charts; 1.1.3. Bar plots; 1.1.4. Pareto-charts; 1.1.5. Histograms; 1.1.6 Empirical cumulative distributions; 1.2. Measures of central tendency; 1.2.1. The mode; 1.2.2. The median; 1.2.3. The arithmetic mean; 1.2.4. The geometric mean; 1.3. Measures of dispersion; 1.3.1. Relative entropy; 1.3.2. The range; 1.3.3. Quantiles and quartiles; 1.3.4. The average deviation | |
| 505 | 8 | |a 1.3.5. The standard deviation/variance1.3.6. The variation coefficient; 1.3.7. Summary functions; 1.3.8. The standard error; 1.4. Centering and standardization (z-scores); 1.5. Confidence intervals; 1.5.1. Confidence intervals of arithmetic means; 1.5.2. Confidence intervals of percentages; 2. Bivariate statistics; 2.1. Frequencies and crosstabulation; 2.1.1. Bar plots and mosaic plots; 2.1.2. Spineplots; 2.1.3. Line plots; 2.2. Means; 2.2.1. Boxplots; 2.2.2. Interaction plots; 2.3. Coefficients of correlation and linear regression; Chapter 4. Analytical statistics | |
| 505 | 8 | |a 1. Distributions and frequencies1.1. Distribution fitting; 1.1.1. One dep. variable (ratio-scaled); 1.1.2. One dep. variable (nominal/categorical); 1.2. Tests for differences/independence; 1.2.1. One dep. variable (ordinal/interval/ratio scaled) and one indep. variable (nominal) (indep. samples); 1.2.2. One dep. variable (nom./cat.) and one indep. variable (nom./cat.) (indep.samples); 1.2.3. One dep. variable (nom./cat.) (dep. samples); 2. Dispersions; 2.1. Goodness-of-fit test for one dep. variable (ratio-scaled); 2.2. One dep. variable (ratio-scaled) and one indep. variable (nom.); 3. Means | |
| 505 | 8 | |a This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling. The main revision is a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated- | |
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| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 4 | |a Linguistik | |
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| author | Gries, Stefan Thomas 1970- |
| author_GND | (DE-588)131571222 |
| author_facet | Gries, Stefan Thomas 1970- |
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| contents | Preface; Chapter 1. Some fundamentals of empirical research; 1. Introduction; 2. On the relevance of quantitative methods in linguistics; 3. The design and the logic of quantitative studies; 3.1. Scouting; 3.2. Hypotheses and operationalization; 3.2.1. Scientific hypotheses in text form; 3.2.2. Operationalizing your variables; 3.2.3. Scientific hypotheses in statistical/mathematical form; 3.3. Data collection and storage; 3.4. The decision; 3.4.1. One-tailed p-values from discrete probability distributions; 3.4.2. Two-tailed p-values from discrete probability distributions 3.4.3. Extension: continuous probability distributions4. The design of a factorial experiment: introduction; 5. The design of a factorial experiment: another example; Chapter 2. Fundamentals of R; 1. Introduction and installation; 2. Functions and arguments; 3. Vectors; 3.1. Generating vectors; 3.2. Loading and saving vectors; 3.3. Editing vectors; 4. Factors; 4.1. Generating factors; 4.2. Loading and saving factors; 4.3. Editing factors; 5. Data frames; 5.1. Generating data frames; 5.2. Loading and saving data frames; 5.3. Editing data frame s; 6. Some programming: conditionals and loops 6.1. Conditional expressions6.2. Loops; 7. Writing your own little functions; Chapter 3. Descriptive statistics; 1. Univariate statistics; 1.1. Frequency data; 1.1.1. Scatterplots and line plots; 1.1.2. Pie charts; 1.1.3. Bar plots; 1.1.4. Pareto-charts; 1.1.5. Histograms; 1.1.6 Empirical cumulative distributions; 1.2. Measures of central tendency; 1.2.1. The mode; 1.2.2. The median; 1.2.3. The arithmetic mean; 1.2.4. The geometric mean; 1.3. Measures of dispersion; 1.3.1. Relative entropy; 1.3.2. The range; 1.3.3. Quantiles and quartiles; 1.3.4. The average deviation 1.3.5. The standard deviation/variance1.3.6. The variation coefficient; 1.3.7. Summary functions; 1.3.8. The standard error; 1.4. Centering and standardization (z-scores); 1.5. Confidence intervals; 1.5.1. Confidence intervals of arithmetic means; 1.5.2. Confidence intervals of percentages; 2. Bivariate statistics; 2.1. Frequencies and crosstabulation; 2.1.1. Bar plots and mosaic plots; 2.1.2. Spineplots; 2.1.3. Line plots; 2.2. Means; 2.2.1. Boxplots; 2.2.2. Interaction plots; 2.3. Coefficients of correlation and linear regression; Chapter 4. Analytical statistics 1. Distributions and frequencies1.1. Distribution fitting; 1.1.1. One dep. variable (ratio-scaled); 1.1.2. One dep. variable (nominal/categorical); 1.2. Tests for differences/independence; 1.2.1. One dep. variable (ordinal/interval/ratio scaled) and one indep. variable (nominal) (indep. samples); 1.2.2. One dep. variable (nom./cat.) and one indep. variable (nom./cat.) (indep.samples); 1.2.3. One dep. variable (nom./cat.) (dep. samples); 2. Dispersions; 2.1. Goodness-of-fit test for one dep. variable (ratio-scaled); 2.2. One dep. variable (ratio-scaled) and one indep. variable (nom.); 3. Means This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling. The main revision is a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated- |
| ctrlnum | (OCoLC)851970508 (DE-599)BVBBV043033996 |
| dewey-full | 410.285/5362 |
| dewey-hundreds | 400 - Language |
| dewey-ones | 410 - Linguistics |
| dewey-raw | 410.285/5362 |
| dewey-search | 410.285/5362 |
| dewey-sort | 3410.285 45362 |
| dewey-tens | 410 - Linguistics |
| discipline | Sprachwissenschaft |
| edition | 2nd ed |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:15:34Z |
| institution | BVB |
| isbn | 3110307472 9783110307474 |
| language | English |
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| spelling | Gries, Stefan Thomas 1970- Verfasser (DE-588)131571222 aut Statistics for Linguistics with R a Practical Introduction 2nd ed Berlin De Gruyter 2013 1 online resource (374 pages) txt rdacontent c rdamedia cr rdacarrier Mouton textbook 3.1. Goodness-of-fit tests Print version record Preface; Chapter 1. Some fundamentals of empirical research; 1. Introduction; 2. On the relevance of quantitative methods in linguistics; 3. The design and the logic of quantitative studies; 3.1. Scouting; 3.2. Hypotheses and operationalization; 3.2.1. Scientific hypotheses in text form; 3.2.2. Operationalizing your variables; 3.2.3. Scientific hypotheses in statistical/mathematical form; 3.3. Data collection and storage; 3.4. The decision; 3.4.1. One-tailed p-values from discrete probability distributions; 3.4.2. Two-tailed p-values from discrete probability distributions 3.4.3. Extension: continuous probability distributions4. The design of a factorial experiment: introduction; 5. The design of a factorial experiment: another example; Chapter 2. Fundamentals of R; 1. Introduction and installation; 2. Functions and arguments; 3. Vectors; 3.1. Generating vectors; 3.2. Loading and saving vectors; 3.3. Editing vectors; 4. Factors; 4.1. Generating factors; 4.2. Loading and saving factors; 4.3. Editing factors; 5. Data frames; 5.1. Generating data frames; 5.2. Loading and saving data frames; 5.3. Editing data frame s; 6. Some programming: conditionals and loops 6.1. Conditional expressions6.2. Loops; 7. Writing your own little functions; Chapter 3. Descriptive statistics; 1. Univariate statistics; 1.1. Frequency data; 1.1.1. Scatterplots and line plots; 1.1.2. Pie charts; 1.1.3. Bar plots; 1.1.4. Pareto-charts; 1.1.5. Histograms; 1.1.6 Empirical cumulative distributions; 1.2. Measures of central tendency; 1.2.1. The mode; 1.2.2. The median; 1.2.3. The arithmetic mean; 1.2.4. The geometric mean; 1.3. Measures of dispersion; 1.3.1. Relative entropy; 1.3.2. The range; 1.3.3. Quantiles and quartiles; 1.3.4. The average deviation 1.3.5. The standard deviation/variance1.3.6. The variation coefficient; 1.3.7. Summary functions; 1.3.8. The standard error; 1.4. Centering and standardization (z-scores); 1.5. Confidence intervals; 1.5.1. Confidence intervals of arithmetic means; 1.5.2. Confidence intervals of percentages; 2. Bivariate statistics; 2.1. Frequencies and crosstabulation; 2.1.1. Bar plots and mosaic plots; 2.1.2. Spineplots; 2.1.3. Line plots; 2.2. Means; 2.2.1. Boxplots; 2.2.2. Interaction plots; 2.3. Coefficients of correlation and linear regression; Chapter 4. Analytical statistics 1. Distributions and frequencies1.1. Distribution fitting; 1.1.1. One dep. variable (ratio-scaled); 1.1.2. One dep. variable (nominal/categorical); 1.2. Tests for differences/independence; 1.2.1. One dep. variable (ordinal/interval/ratio scaled) and one indep. variable (nominal) (indep. samples); 1.2.2. One dep. variable (nom./cat.) and one indep. variable (nom./cat.) (indep.samples); 1.2.3. One dep. variable (nom./cat.) (dep. samples); 2. Dispersions; 2.1. Goodness-of-fit test for one dep. variable (ratio-scaled); 2.2. One dep. variable (ratio-scaled) and one indep. variable (nom.); 3. Means This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling. The main revision is a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated- LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative bisacsh Linguistics / Statistical methods fast R (Computer program language) fast Linguistik Linguistics Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Sprachstatistik (DE-588)4182534-2 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content R Programm (DE-588)4705956-4 s Sprachstatistik (DE-588)4182534-2 s 2\p DE-604 Erscheint auch als Druck-Ausgabe Gries, Stefan Th Statistics for Linguistics with R : A Practical Introduction http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=604318 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gries, Stefan Thomas 1970- Statistics for Linguistics with R a Practical Introduction Preface; Chapter 1. Some fundamentals of empirical research; 1. Introduction; 2. On the relevance of quantitative methods in linguistics; 3. The design and the logic of quantitative studies; 3.1. Scouting; 3.2. Hypotheses and operationalization; 3.2.1. Scientific hypotheses in text form; 3.2.2. Operationalizing your variables; 3.2.3. Scientific hypotheses in statistical/mathematical form; 3.3. Data collection and storage; 3.4. The decision; 3.4.1. One-tailed p-values from discrete probability distributions; 3.4.2. Two-tailed p-values from discrete probability distributions 3.4.3. Extension: continuous probability distributions4. The design of a factorial experiment: introduction; 5. The design of a factorial experiment: another example; Chapter 2. Fundamentals of R; 1. Introduction and installation; 2. Functions and arguments; 3. Vectors; 3.1. Generating vectors; 3.2. Loading and saving vectors; 3.3. Editing vectors; 4. Factors; 4.1. Generating factors; 4.2. Loading and saving factors; 4.3. Editing factors; 5. Data frames; 5.1. Generating data frames; 5.2. Loading and saving data frames; 5.3. Editing data frame s; 6. Some programming: conditionals and loops 6.1. Conditional expressions6.2. Loops; 7. Writing your own little functions; Chapter 3. Descriptive statistics; 1. Univariate statistics; 1.1. Frequency data; 1.1.1. Scatterplots and line plots; 1.1.2. Pie charts; 1.1.3. Bar plots; 1.1.4. Pareto-charts; 1.1.5. Histograms; 1.1.6 Empirical cumulative distributions; 1.2. Measures of central tendency; 1.2.1. The mode; 1.2.2. The median; 1.2.3. The arithmetic mean; 1.2.4. The geometric mean; 1.3. Measures of dispersion; 1.3.1. Relative entropy; 1.3.2. The range; 1.3.3. Quantiles and quartiles; 1.3.4. The average deviation 1.3.5. The standard deviation/variance1.3.6. The variation coefficient; 1.3.7. Summary functions; 1.3.8. The standard error; 1.4. Centering and standardization (z-scores); 1.5. Confidence intervals; 1.5.1. Confidence intervals of arithmetic means; 1.5.2. Confidence intervals of percentages; 2. Bivariate statistics; 2.1. Frequencies and crosstabulation; 2.1.1. Bar plots and mosaic plots; 2.1.2. Spineplots; 2.1.3. Line plots; 2.2. Means; 2.2.1. Boxplots; 2.2.2. Interaction plots; 2.3. Coefficients of correlation and linear regression; Chapter 4. Analytical statistics 1. Distributions and frequencies1.1. Distribution fitting; 1.1.1. One dep. variable (ratio-scaled); 1.1.2. One dep. variable (nominal/categorical); 1.2. Tests for differences/independence; 1.2.1. One dep. variable (ordinal/interval/ratio scaled) and one indep. variable (nominal) (indep. samples); 1.2.2. One dep. variable (nom./cat.) and one indep. variable (nom./cat.) (indep.samples); 1.2.3. One dep. variable (nom./cat.) (dep. samples); 2. Dispersions; 2.1. Goodness-of-fit test for one dep. variable (ratio-scaled); 2.2. One dep. variable (ratio-scaled) and one indep. variable (nom.); 3. Means This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling. The main revision is a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated- LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative bisacsh Linguistics / Statistical methods fast R (Computer program language) fast Linguistik Linguistics Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Sprachstatistik (DE-588)4182534-2 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4182534-2 (DE-588)4123623-3 |
| title | Statistics for Linguistics with R a Practical Introduction |
| title_auth | Statistics for Linguistics with R a Practical Introduction |
| title_exact_search | Statistics for Linguistics with R a Practical Introduction |
| title_full | Statistics for Linguistics with R a Practical Introduction |
| title_fullStr | Statistics for Linguistics with R a Practical Introduction |
| title_full_unstemmed | Statistics for Linguistics with R a Practical Introduction |
| title_short | Statistics for Linguistics with R |
| title_sort | statistics for linguistics with r a practical introduction |
| title_sub | a Practical Introduction |
| topic | LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative bisacsh Linguistics / Statistical methods fast R (Computer program language) fast Linguistik Linguistics Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Sprachstatistik (DE-588)4182534-2 gnd |
| topic_facet | LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative Linguistics / Statistical methods R (Computer program language) Linguistik Linguistics Statistical methods R Programm Sprachstatistik Lehrbuch |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=604318 |
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