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(2014). It includes utilities for transforming logistic-regression coefficients back to estimate scale, producing barplots with error bars, and generating visual summaries from fitted logistic regression models. The package also offers additional helper functions for model selection and related outputs, along with sample data and test resources.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/analysing-convergent-evolution-using-the-wheatsheaf-index-version-2-package-documentation/291263/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/analysing-convergent-evolution-using-the-wheatsheaf-index-version-2-package-documentation/291263.png","ImageObject",300,407,{"name":92,"@type":93},"Nguyễn Văn Học","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the purpose of the windex package?","Question",{"text":112,"@type":113},"It supports analyses of convergent evolution using the Wheatsheaf index through a set of R functions and utilities.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does backLog relate to logistic regression results?",{"text":117,"@type":113},"backLog takes raw coefficient values (for example from a logistic regression) and returns back-transformed estimates.",{"name":119,"@type":110,"acceptedAnswer":120},"What does LRbarplot produce?",{"text":121,"@type":113},"LRbarplot generates a barplot for a categorical predictor using a fitted logistic regression model, based on estimated coefficients and standard errors.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},291263,1789643948,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},1374402739827,"https://ap-avatar.wpscdn.com/avatar/14000c97e7351f1a627?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787885694763230660","Package ‘windex’  \nMay 8, 2026  \nType Package  \nTitle Analysing Convergent Evolution using the Wheatsheaf Index Version 2.1.0  \nDate 2025-02-05  \nAuthor Kevin Arbuckle [aut, cre],  \nAmanda Minter [aut]  \nMaintainer Kevin Arbuckle \u003C[kevin.arbuckle@swansea.ac.uk](kevin.arbuckle@swansea.ac.uk)>  \nDescription Analysing convergent evolution using the Wheatsheaf index, described in Ar  \nbuckle et al. (2014) \u003Cdoi:10.1111/2041-210X.12195>, and some other unrelated but perhaps useful functions.  \nLicense GPL-2  \nDepends phytools, geiger (>= 2.0), ape (>= 4.0), phangorn, scatterplot3d, utils, methods, R (>= 3.0.0)  \nNeedsCompilation no Repository CRAN  \nDate/Publication 2025-02-06 11:00:02 UTC  \nContents  \nbackLog ........................................... 2  \nerror.bars .......................................... 3  \nLRbarplot .......................................... 3  \nlrTest ............................................ 5  \nmark.dist .......................................... 6  \nmodSel.fitMk ........................................ 7  \nmodSel.geiger ........................................ 8  \nmodSel.phylolm ....................................... 9  \nmodSel.rayDISC ...................................... 10  \nmodSelTab ......................................... 11  \nnodeDist ........................................... 12  \npir .............................................. 13  \nplotTrait ........................................... 15  \n2 backLog  \nprune2data .......................................... 15  \nrichYuleInputs ........................................ 16  \n[sample.data .........................................](sample.data ......................................... 17)[ 17](sample.data ......................................... 17)  \n[sample.tree .........................................](sample.tree ......................................... 18)[ 18](sample.tree ......................................... 18)  \n[se ..............................................](se .............................................. 18)[ 18](se .............................................. 18)  \n[test.windex .........................................](test.windex ......................................... 19)[ 19](test.windex ......................................... 19)  \n[treecheck ..........................................](treecheck .......................................... 20)[ 20](treecheck .......................................... 20)  \n[treedatacheck ........................................](treedatacheck ........................................ 21)[ 21](treedatacheck ........................................ 21)  \n[windex ............................................](windex ............................................ 22)[ 22](windex ............................................ 22)  \n[windex.sim.test .......................................](windex.sim.test ....................................... 23)[ 23](windex.sim.test ....................................... 23)  \nIndex 25  \n\n| backLog | Backtransforms coefficient estimates from logistic regression |\n| --- | --- |\n\nDescription  \nTakes raw coefficient values (e.g. from a logistic regression) and returns back-transformed estimates.  \nUsage  \nbackLog(x)  \nArguments  \nx A numerical value to be back-transformed.  \nValue  \nReturns the back-transformed estimate.  \nAuthor(s)  \nKevin Arbuckle  \nerror. bars 3  \n\n| error.bars | Plots error bars on a barplot |\n| --- | --- |\n\nDescription  \nAdds error bars to a barplot.  \nUsage  \nerror .bars(x,y,upper,lower=upper,length=0 .1,   )  \nArguments  \nx Command to produce a barplot (saved as an object) .  \ny Vector of heights of bars (same as vector given as height argument to barplot) .  \nupper Vector of upper confidence interval to plot as error bars.  \nlower Vector of lower confidence interval to plot as error bars (defaults to symmet  \nrical error bars but can be specified separately for lower and upper confidence intervals to enable asymmetrical error bar","cbCaiaW3AppgNCHq","https://ap.wps.com/l/cbCaiaW3AppgNCHq","pdf",141205,25,"English","# Package Overview\n## Functions Index\n## backLog\n## error.bars\n## LRbarplot","[{\"question\":\"What is the purpose of the windex package?\",\"answer\":\"It supports analyses of convergent evolution using the Wheatsheaf index through a set of R functions and utilities.\"},{\"question\":\"How does backLog relate to logistic regression results?\",\"answer\":\"backLog takes raw coefficient values (for example from a logistic regression) and returns back-transformed estimates.\"},{\"question\":\"What does LRbarplot produce?\",\"answer\":\"LRbarplot generates a barplot for a categorical predictor using a fitted logistic regression model, based on estimated coefficients and standard errors.\"}]","Analysing Convergent Evolution using the Wheatsheaf Index - Version 2 - Package Documentation | PDF",63]