{"title":"Statistical inference","authors":"John Verzani","doi":"10.1201/9781315373089-7","DOIUrl":"https://doi.org/10.1201/9781315373089-7","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116501040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
So far we’ve focused on inbreeding as one important way that populations may fail to mate at random, but there’s another way in which virtually all populations and species fail to mate at random. Individuals tend to mate with those that are nearby. Even within a fairly small area, phenomena like nearest neighbor pollination in flowering plants or home-site fidelity in animals can cause mates to be selected in a geographically non-random way. What are the population genetic consequences of this form of non-random mating? Well, if you think about it a little, you can probably figure it out. Since individuals that occur close to one another tend to be more genetically similar than those that occur far apart, the impacts of local mating will mimic those of inbreeding within a single, well-mixed population.
{"title":"Populations","authors":"John Verzani","doi":"10.1201/9781315373089-6","DOIUrl":"https://doi.org/10.1201/9781315373089-6","url":null,"abstract":"So far we’ve focused on inbreeding as one important way that populations may fail to mate at random, but there’s another way in which virtually all populations and species fail to mate at random. Individuals tend to mate with those that are nearby. Even within a fairly small area, phenomena like nearest neighbor pollination in flowering plants or home-site fidelity in animals can cause mates to be selected in a geographically non-random way. What are the population genetic consequences of this form of non-random mating? Well, if you think about it a little, you can probably figure it out. Since individuals that occur close to one another tend to be more genetically similar than those that occur far apart, the impacts of local mating will mimic those of inbreeding within a single, well-mixed population.","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115086999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Univariate data","authors":"John Verzani","doi":"10.1201/9781315373089-2","DOIUrl":"https://doi.org/10.1201/9781315373089-2","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"12 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134261027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Getting started","authors":"John Verzani","doi":"10.1201/9781315373089-1","DOIUrl":"https://doi.org/10.1201/9781315373089-1","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126538049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Confidence intervals","authors":"John Verzani","doi":"10.1201/9781315373089-8","DOIUrl":"https://doi.org/10.1201/9781315373089-8","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127359060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-03DOI: 10.1201/9781315373089-11
John Verzani
{"title":"Linear regression","authors":"John Verzani","doi":"10.1201/9781315373089-11","DOIUrl":"https://doi.org/10.1201/9781315373089-11","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Interestingly, significance tests that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
{"title":"Significance tests","authors":"John Verzani","doi":"10.1201/9780203738467-9","DOIUrl":"https://doi.org/10.1201/9780203738467-9","url":null,"abstract":"Interestingly, significance tests that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129298697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bivariate data","authors":"John Verzani","doi":"10.1201/9781315373089-3","DOIUrl":"https://doi.org/10.1201/9781315373089-3","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123308850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-03DOI: 10.1201/9781315373089-13
John Verzani
{"title":"Extensions of the linear model","authors":"John Verzani","doi":"10.1201/9781315373089-13","DOIUrl":"https://doi.org/10.1201/9781315373089-13","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127315548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multivariate data","authors":"John Verzani","doi":"10.1201/9781315373089-4","DOIUrl":"https://doi.org/10.1201/9781315373089-4","url":null,"abstract":"","PeriodicalId":213474,"journal":{"name":"Using R for Introductory Statistics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127734506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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