{"title":"neatStats：心理科学中从原始数据到可报告统计数据的整洁管道的R包","authors":"Gáspár Lukács","doi":"10.20982/TQMP.17.1.P007","DOIUrl":null,"url":null,"abstract":"Performing the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R programming language. However, how to use R for this is not trivial, especially for novices. The present paper serves as a step-by-step yet fast tutorial on how to make all the steps from raw data files to all the statistics normally needed in a conventional psychological experiment (including ANOVA and t-tests). At the same time, it also introduces the R package neatStats, which was created for the very purpose of making these steps as easy and straightforward as possible.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science\",\"authors\":\"Gáspár Lukács\",\"doi\":\"10.20982/TQMP.17.1.P007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performing the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R programming language. However, how to use R for this is not trivial, especially for novices. The present paper serves as a step-by-step yet fast tutorial on how to make all the steps from raw data files to all the statistics normally needed in a conventional psychological experiment (including ANOVA and t-tests). At the same time, it also introduces the R package neatStats, which was created for the very purpose of making these steps as easy and straightforward as possible.\",\"PeriodicalId\":93055,\"journal\":{\"name\":\"The quantitative methods for psychology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2021-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The quantitative methods for psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20982/TQMP.17.1.P007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The quantitative methods for psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20982/TQMP.17.1.P007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
Performing the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R programming language. However, how to use R for this is not trivial, especially for novices. The present paper serves as a step-by-step yet fast tutorial on how to make all the steps from raw data files to all the statistics normally needed in a conventional psychological experiment (including ANOVA and t-tests). At the same time, it also introduces the R package neatStats, which was created for the very purpose of making these steps as easy and straightforward as possible.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
