The fact that you think x~y is interchangeable with y~x suggests to me that you will have a difficult time convincing R Core that this is a bug. I recommend that you take at leastan upper division college course in linear regression first.
On April 18, 2019 9:35:55 AM PDT, Dingyuan Wang <gumb...@aosc.io> wrote: >I just want to make a line out of timestamps vs some coordinates, so >y~x >or x~y doesn't matter. > >Yes, I know the answer. When trying R, I'm surprised that R can't solve > >that either. I first noticed that PostgreSQL can't solve it, and found >that they fixed that in pg 12. > >https://www.postgresql.org/message-id/153313051300.1397.9594490737341194671%40wrigleys.postgresql.org > >Therefore I come to ask whether someone know how to fix this in R, or I > >must submit it as a bug? > >2019/4/18 23:24, Michael Dewey: >> Perhaps subtract 1506705766 from y? >> >> Saying some other software does it well implies you know what the >> _correct_ answer is here but I would question what that means with >this >> sort of data-set. >> >> On 17/04/2019 07:26, Dingyuan Wang wrote: >>> Hi, >>> >>> This input doesn't have any interesting properties except y is unix >>> time. Spreadsheets can do this well. >>> Is this a bug that lm can't do x ~ y? >>> >>> R version 3.5.2 (2018-12-20) -- "Eggshell Igloo" >>> Copyright (C) 2018 The R Foundation for Statistical Computing >>> Platform: x86_64-pc-linux-gnu (64-bit) >>> >>> > x = c(79.744, 123.904, 87.29601, 116.352, 67.71201, 72.96001, >>> 101.632, 108.928, 94.08) >>> > y = c(1506705739.385, 1506705766.895, 1506705746.293, >>> 1506705761.873, 1506705734.743, 1506705735.351, 1506705756.26, >>> 1506705761.307, 1506705747.372) >>> > m = lm(x ~ y) >>> > summary(m) >>> >>> Call: >>> lm(formula = x ~ y) >>> >>> Residuals: >>> Min 1Q Median 3Q Max >>> -27.0222 -14.9902 -0.6542 14.1938 29.1698 >>> >>> Coefficients: (1 not defined because of singularities) >>> Estimate Std. Error t value Pr(>|t|) >>> (Intercept) 94.734 6.511 14.55 4.88e-07 *** >>> y NA NA NA NA >>> --- >>> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 >>> >>> Residual standard error: 19.53 on 8 degrees of freedom >>> >>> > summary(lm(y ~ x)) >>> >>> Call: >>> lm(formula = y ~ x) >>> >>> Residuals: >>> Min 1Q Median 3Q Max >>> -2.1687 -1.3345 -0.9466 1.3826 2.6551 >>> >>> Coefficients: >>> Estimate Std. Error t value Pr(>|t|) >>> (Intercept) 1.507e+09 3.294e+00 4.574e+08 < 2e-16 *** >>> x 6.136e-01 3.413e-02 1.798e+01 4.07e-07 *** >>> --- >>> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 >>> >>> Residual standard error: 1.885 on 7 degrees of freedom >>> Multiple R-squared: 0.9788, Adjusted R-squared: 0.9758 >>> F-statistic: 323.3 on 1 and 7 DF, p-value: 4.068e-07 >>> >>> ______________________________________________ >>> 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. >>> >>> --- >>> This email has been checked for viruses by AVG. >>> https://www.avg.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. -- Sent from my phone. Please excuse my brevity. ______________________________________________ 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.
