{"title":"数据框架概念。","authors":"D. Quicke, B. A. Butcher, R. K. Welton","doi":"10.1079/9781789245349.0031","DOIUrl":null,"url":null,"abstract":"Abstract\n R objects come in a variety of types: dataframes, matrices, vectors, and arrays for example. Dataframes are an important concept in R, allowing vectors of different types to be combined column-wise into a single object. This chapter discusses combining sets of tables for data collected on different dates and converting factors in a dataframe to numeric or character.","PeriodicalId":167700,"journal":{"name":"Practical R for biologists: an introduction","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The dataframe concept.\",\"authors\":\"D. Quicke, B. A. Butcher, R. K. Welton\",\"doi\":\"10.1079/9781789245349.0031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract\\n R objects come in a variety of types: dataframes, matrices, vectors, and arrays for example. Dataframes are an important concept in R, allowing vectors of different types to be combined column-wise into a single object. This chapter discusses combining sets of tables for data collected on different dates and converting factors in a dataframe to numeric or character.\",\"PeriodicalId\":167700,\"journal\":{\"name\":\"Practical R for biologists: an introduction\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Practical R for biologists: an introduction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1079/9781789245349.0031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Practical R for biologists: an introduction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781789245349.0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract
R objects come in a variety of types: dataframes, matrices, vectors, and arrays for example. Dataframes are an important concept in R, allowing vectors of different types to be combined column-wise into a single object. This chapter discusses combining sets of tables for data collected on different dates and converting factors in a dataframe to numeric or character.
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