Hi, In R, I know the method table(), which builds a contingency table of the counts y at each level for the factor x. But I would like to know what is the inverse method of table(), if it exists, to obtain the vector z, from the two vectors x and y? x <- (86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, 130, 134, 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, 60, 51, 26, 17, 9, 5, 2, 3, 7, 3)> z[1] 86 86 90 90 90 90 90 94 94 94 94 94 94 94 94 94 94 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 102 102 102 102 102 [40] 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102... [976] ...170 170 170 170 170 170 170 174 174 174 If such a method does not exist, what code should I type to obtain the complete series quickly? Thank you for your help. I use version 2.10-1 2009-08-24 for Mac OS. Vincent Laperrière. [[alternative HTML version deleted]]
z <- rep(x, each = y) Hope this helps, Ravi. ____________________________________________________________________ Ravi Varadhan, Ph.D. Assistant Professor, Division of Geriatric Medicine and Gerontology School of Medicine Johns Hopkins University Ph. (410) 502-2619 email: rvaradhan at jhmi.edu ----- Original Message ----- From: vincent laperriere <vincent_laperriere at yahoo.fr> Date: Tuesday, March 9, 2010 10:59 am Subject: [R] is there an inverse method for table()? To: r-help at r-project.org> Hi, > > In R, I know the method table(), which builds a contingency table of > the counts y at each level for the factor x. > But I would like to know what is the inverse method of table(), if it > exists, to obtain the vector z, from the two vectors x and y? > > x <- (86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, 130, 134, > 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) > y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, 60, 51, > 26, 17, 9, 5, 2, 3, 7, 3) > > > z > [1] 86 86 90 90 90 90 90 94 94 94 94 94 94 94 94 > 94 94 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 > 98 102 102 102 102 102 > [40] 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 > 102 102 102 102 102 102... > [976] ...170 170 170 170 170 170 170 174 174 174 > > If such a method does not exist, what code should I type to obtain > the complete series quickly? > > Thank you for your help. > I use version 2.10-1 2009-08-24 for Mac OS. > > Vincent Laperri?re. > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > > PLEASE do read the posting guide > and provide commented, minimal, self-contained, reproducible code.
rep() is your friend. HTH, Thierry> x <- c(86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, 130, 134, 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) > y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, 60, 51, 26, 17, 9, 5, 2, 3, 7, 3) > rep(x, y)[1] 86 86 90 90 90 90 90 94 94 94 94 94 94 94 94 94 94 98 [19] 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 102 102 [37] 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 [55] 102 102 102 102 102 102 106 106 106 106 106 106 106 106 106 106 106 106 [73] 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 [91] 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 106 [109] 106 106 106 106 106 106 106 106 106 106 106 106 110 110 110 110 110 110 [127] 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 [145] 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 [163] 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 [181] 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 [199] 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 114 114 [217] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [235] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [253] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [271] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [289] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [307] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [325] 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 [343] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [361] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [379] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [397] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [415] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [433] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [451] 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 [469] 118 118 118 118 118 118 118 118 118 118 118 122 122 122 122 122 122 122 [487] 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 [505] 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 [523] 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 [541] 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 [559] 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 [577] 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 [595] 122 122 122 122 122 122 122 122 122 122 122 122 122 126 126 126 126 126 [613] 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 [631] 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 [649] 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 [667] 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 126 [685] 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 [703] 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 [721] 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 130 [739] 130 130 130 130 130 130 130 130 130 130 130 130 130 130 134 134 134 134 [757] 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 [775] 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 [793] 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 134 [811] 134 134 134 134 134 134 134 138 138 138 138 138 138 138 138 138 138 138 [829] 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 [847] 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 138 [865] 138 138 138 138 138 138 138 138 138 138 138 138 138 142 142 142 142 142 [883] 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 [901] 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 [919] 142 142 142 142 142 142 142 142 142 142 146 146 146 146 146 146 146 146 [937] 146 146 146 146 146 146 146 146 146 146 146 146 146 146 146 146 146 146 [955] 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 154 [973] 154 154 154 154 154 154 154 154 158 158 158 158 158 162 162 166 166 166 [991] 170 170 170 170 170 170 170 174 174 174 ---------------------------------------------------------------------------- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek team Biometrie & Kwaliteitszorg Gaverstraat 4 9500 Geraardsbergen Belgium Research Institute for Nature and Forest team Biometrics & Quality Assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 Thierry.Onkelinx at inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey> -----Oorspronkelijk bericht----- > Van: r-help-bounces at r-project.org > [mailto:r-help-bounces at r-project.org] Namens vincent laperriere > Verzonden: dinsdag 9 maart 2010 16:58 > Aan: r-help at r-project.org > Onderwerp: [R] is there an inverse method for table()? > > Hi, > > In R, I know the method table(), which builds a contingency > table of the counts y at each level for the factor x. > But I would like to know what is the inverse method of > table(), if it exists, to obtain the vector z, from the two > vectors x and y? > > x <- (86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, > 130, 134, 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) > y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, > 60, 51, 26, 17, 9, 5, 2, 3, 7, 3) > > > z > [1] 86 86 90 90 90 90 90 94 94 94 94 94 94 > 94 94 94 94 98 98 98 98 98 98 98 98 98 98 98 > 98 98 98 98 98 98 102 102 102 102 102 > [40] 102 102 102 102 102 102 102 102 102 102 102 102 102 > 102 102 102 102 102 102 102 102... > [976] ...170 170 170 170 170 170 170 174 174 174 > > If such a method does not exist, what code should I type to > obtain the complete series quickly? > > Thank you for your help. > I use version 2.10-1 2009-08-24 for Mac OS. > > Vincent Laperri?re. > > > > [[alternative HTML version deleted]] > >Druk dit bericht a.u.b. niet onnodig af. 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On Tue, Mar 9, 2010 at 3:58 PM, vincent laperriere <vincent_laperriere at yahoo.fr> wrote:> Hi, > > In R, I know the method table(), which builds a contingency table of the counts y at each level for the factor x. > But I would like to know what is the inverse method of table(), if it exists, to obtain the vector z, from the two vectors x and y? > > x <- (86, ?90, ?94, ?98, 102, 106, 110, 114, 118, 122, 126, 130, 134, 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) > y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, 60, 51, 26, 17, 9, 5, 2, 3, 7, 3) > >> z > ? [1] ?86 ?86 ?90 ?90 ?90 ?90 ?90 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 102 102 102 102 102 > ?[40] 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102... > ?[976] ...170 170 170 170 170 170 170 174 174 174 > > If such a method does not exist, what code should I type to obtain the complete series quickly? >rep(x,y)? repeats each element in x the number of times in y. Looks about right. Barry
Sorry, I mean to say: z <- rep(x, y) Ravi. ____________________________________________________________________ Ravi Varadhan, Ph.D. Assistant Professor, Division of Geriatric Medicine and Gerontology School of Medicine Johns Hopkins University Ph. (410) 502-2619 email: rvaradhan at jhmi.edu ----- Original Message ----- From: Ravi Varadhan <rvaradhan at jhmi.edu> Date: Tuesday, March 9, 2010 11:02 am Subject: Re: [R] is there an inverse method for table()? To: vincent laperriere <vincent_laperriere at yahoo.fr> Cc: r-help at r-project.org> z <- rep(x, each = y) > > Hope this helps, > Ravi. > > ____________________________________________________________________ > > Ravi Varadhan, Ph.D. > Assistant Professor, > Division of Geriatric Medicine and Gerontology > School of Medicine > Johns Hopkins University > > Ph. (410) 502-2619 > email: rvaradhan at jhmi.edu > > > ----- Original Message ----- > From: vincent laperriere <vincent_laperriere at yahoo.fr> > Date: Tuesday, March 9, 2010 10:59 am > Subject: [R] is there an inverse method for table()? > To: r-help at r-project.org > > > > Hi, > > > > In R, I know the method table(), which builds a contingency table > of > > the counts y at each level for the factor x. > > But I would like to know what is the inverse method of table(), if > it > > exists, to obtain the vector z, from the two vectors x and y? > > > > x <- (86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, 130, > 134, > > 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) > > y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, 60, > 51, > > 26, 17, 9, 5, 2, 3, 7, 3) > > > > > z > > [1] 86 86 90 90 90 90 90 94 94 94 94 94 94 94 94 > > > 94 94 98 98 98 98 98 98 98 98 98 98 98 98 98 98 98 > 98 > > 98 102 102 102 102 102 > > [40] 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 > > > 102 102 102 102 102 102... > > [976] ...170 170 170 170 170 170 170 174 174 174 > > > > If such a method does not exist, what code should I type to obtain > > > the complete series quickly? > > > > Thank you for your help. > > I use version 2.10-1 2009-08-24 for Mac OS. > > > > Vincent Laperri?re. > > > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org mailing list > > > > PLEASE do read the posting guide > and provide commented, minimal, self-contained, reproducible code. >
Try as.data.frame.table(mytable) On Tue, Mar 9, 2010 at 10:58 AM, vincent laperriere <vincent_laperriere at yahoo.fr> wrote:> Hi, > > In R, I know the method table(), which builds a contingency table of the counts y at each level for the factor x. > But I would like to know what is the inverse method of table(), if it exists, to obtain the vector z, from the two vectors x and y? > > x <- (86, ?90, ?94, ?98, 102, 106, 110, 114, 118, 122, 126, 130, 134, 138, 142, 146, 150, 154, 158, 162, 166, 170, 174) > y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77, 68, 65, 60, 51, 26, 17, 9, 5, 2, 3, 7, 3) > >> z > ? [1] ?86 ?86 ?90 ?90 ?90 ?90 ?90 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?94 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 ?98 102 102 102 102 102 > ?[40] 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102... > ?[976] ...170 170 170 170 170 170 170 174 174 174 > > If such a method does not exist, what code should I type to obtain the complete series quickly? > > Thank you for your help. > I use version 2.10-1 2009-08-24 for Mac OS. > > Vincent Laperri?re. > > > > ? ? ? ?[[alternative HTML version deleted]] > > > ______________________________________________ > R-help at r-project.org mailing list > 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. > >