Re: [R] meaning of lm( y~., data=mydat ), is it a language feature, is it documented, is it supported?
> On 23 May 2016, at 13:43 , Ivan Calandrawrote: > > Hi John, > > This is indeed documented, but you'll have to look at the function formula(): > ?formula > > Regarding the dot (.), here is the explanation from the help of formula(): > "There are two special interpretations of . in a formula. The usual one is in > the context of a data argument of model fitting functions and means ‘all > columns not otherwise in the formula’: see terms.formula. In the context of > update.formula, only, it means ‘what was previously in this part of the > formula’." Actually, it is debatable which one of those deserve to be called "usual". Once upon a time, in the heyday of John Tukey, it might have been usual to have data set of a few hundred rows and, like, a dozen columns, exactly one of which being the response. Not so much these days, I'd say. -pd > > HTH, > Ivan > > -- > Ivan Calandra, PhD > Scientific Mediator > University of Reims Champagne-Ardenne > GEGENAA - EA 3795 > CREA - 2 esplanade Roland Garros > 51100 Reims, France > +33(0)3 26 77 36 89 > ivan.calan...@univ-reims.fr > -- > https://www.researchgate.net/profile/Ivan_Calandra > https://publons.com/author/705639/ > > Le 23/05/2016 à 13:26, John Sorkin a écrit : >> The syntax >> mydat <- data.frame( y,x ) >> fit1 <- lm( y~., data=mydat ) >> appears to perform a multivariable regression of y on every non-y variable >> in the data frame mydat. I can not find this syntax (y~.) in R >> documentation. Is y~. a supported feature of the R language? Where can I >> find it documented? I would hate to write code that is dependent on a >> non-supported, non-documented language feature. >> Thank you, >> John >> John David Sorkin M.D., Ph.D. >> Professor of Medicine >> Chief, Biostatistics and Informatics >> University of Maryland School of Medicine Division of Gerontology and >> Geriatric Medicine >> Baltimore VA Medical Center >> 10 North Greene Street >> GRECC (BT/18/GR) >> Baltimore, MD 21201-1524 >> (Phone) 410-605-7119 >> (Fax) 410-605-7913 (Please call phone number above prior to faxing) >> >> Confidentiality Statement: >> This email message, including any attachments, is for ...{{dropped:8}} > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd@cbs.dk Priv: pda...@gmail.com __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] meaning of lm( y~., data=mydat ), is it a language feature, is it documented, is it supported?
It's about formula syntax, so ?formula documents it. Bert On Monday, May 23, 2016, John Sorkinwrote: > > The syntax > mydat <- data.frame( y,x ) > fit1 <- lm( y~., data=mydat ) > appears to perform a multivariable regression of y on every non-y variable > in the data frame mydat. I can not find this syntax (y~.) in R > documentation. Is y~. a supported feature of the R language? Where can I > find it documented? I would hate to write code that is dependent on a > non-supported, non-documented language feature. > Thank you, > John > John David Sorkin M.D., Ph.D. > Professor of Medicine > Chief, Biostatistics and Informatics > University of Maryland School of Medicine Division of Gerontology and > Geriatric Medicine > Baltimore VA Medical Center > 10 North Greene Street > GRECC (BT/18/GR) > Baltimore, MD 21201-1524 > (Phone) 410-605-7119 > (Fax) 410-605-7913 (Please call phone number above prior to faxing) > > Confidentiality Statement: > This email message, including any attachments, is for ...{{dropped:25}} __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] meaning of lm( y~., data=mydat ), is it a language feature, is it documented, is it supported?
John Sorkin grecc.umaryland.edu> writes: > The syntax > mydat <- data.frame( y,x ) > fit1 <- lm( y~., data=mydat ) > appears to perform a multivariable regression of y on every non-y variable in the data frame mydat. I can not > find this syntax (y~.) in R documentation. Is y~. a supported feature of the R language? Where can I find it > documented? I would hate to write code that is dependent on a non-supported, non-documented language feature. > Thank you, > John > John David Sorkin M.D., Ph.D. > Professor of Medicine > Chief, Biostatistics and Informatics > University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine > Baltimore VA Medical Center > 10 North Greene Street > GRECC (BT/18/GR) > Baltimore, MD 21201-1524 > (Phone) 410-605-7119 > (Fax) 410-605-7913 > How about section 11.5 of An Introduction to R? -- Kenneth Knoblauch Inserm U1208 Stem-cell and Brain Research Institute 18 avenue du Doyen Lépine 69500 Bron France tel: +33 (0)4 72 91 34 77 fax: +33 (0)4 72 91 34 61 portable: +33 (0)6 84 10 64 10 http://www.sbri.fr/members/kenneth-knoblauch.html __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] meaning of lm( y~., data=mydat ), is it a language feature, is it documented, is it supported?
On 23/05/2016 7:26 AM, John Sorkin wrote: The syntax mydat <- data.frame( y,x ) fit1 <- lm( y~., data=mydat ) appears to perform a multivariable regression of y on every non-y variable in the data frame mydat. I can not find this syntax (y~.) in R documentation. Is y~. a supported feature of the R language? Where can I find it documented? I would hate to write code that is dependent on a non-supported, non-documented language feature. It is documented in the Introduction to R manual (hidden in section 11.5, "Updating fitted models"), and in ?formula, which ?lm refers to. Duncan Murdoch __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] meaning of lm( y~., data=mydat ), is it a language feature, is it documented, is it supported?
Hi John, This is indeed documented, but you'll have to look at the function formula(): ?formula Regarding the dot (.), here is the explanation from the help of formula(): "There are two special interpretations of . in a formula. The usual one is in the context of a data argument of model fitting functions and means ‘all columns not otherwise in the formula’: see terms.formula. In the context of update.formula, only, it means ‘what was previously in this part of the formula’." HTH, Ivan -- Ivan Calandra, PhD Scientific Mediator University of Reims Champagne-Ardenne GEGENAA - EA 3795 CREA - 2 esplanade Roland Garros 51100 Reims, France +33(0)3 26 77 36 89 ivan.calan...@univ-reims.fr -- https://www.researchgate.net/profile/Ivan_Calandra https://publons.com/author/705639/ Le 23/05/2016 à 13:26, John Sorkin a écrit : The syntax mydat <- data.frame( y,x ) fit1 <- lm( y~., data=mydat ) appears to perform a multivariable regression of y on every non-y variable in the data frame mydat. I can not find this syntax (y~.) in R documentation. Is y~. a supported feature of the R language? Where can I find it documented? I would hate to write code that is dependent on a non-supported, non-documented language feature. Thank you, John John David Sorkin M.D., Ph.D. Professor of Medicine Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing) Confidentiality Statement: This email message, including any attachments, is for ...{{dropped:8}} __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] meaning of lm( y~., data=mydat ), is it a language feature, is it documented, is it supported?
The syntax mydat <- data.frame( y,x ) fit1 <- lm( y~., data=mydat ) appears to perform a multivariable regression of y on every non-y variable in the data frame mydat. I can not find this syntax (y~.) in R documentation. Is y~. a supported feature of the R language? Where can I find it documented? I would hate to write code that is dependent on a non-supported, non-documented language feature. Thank you, John John David Sorkin M.D., Ph.D. Professor of Medicine Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing) Confidentiality Statement: This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.