[R] Calculate interaction for a big dataframe
Hi To calculate the value of the interaction between factors of a dataframe df, does exist any function which could replace the function when the dataframe df has the numbers of rows of df is large (~55000) and also the numbers of combinaison of the three factors is large. The calcul abort. The function to calculate the interaction is : as.numeric(interaction(df [,c(1:3)],drop=TRUE)) To complete the question and to calculate interaction beetween 3 factors f1, f2, f3, does it possible to calculate first f12 = interaction (f1,f2) and after calculate interaction (f12, f3). It seems to me that yes. Thanks for your help -- Michel ARNAUD Chargé de mission auprès du DRH DGDRD-Drh - TA 174/04 Av Agropolis 34398 Montpellier cedex 5 tel : 04.67.61.75.38 fax : 04.67.61.57.87 port: 06.47.43.55.31 __ R-help@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.
Re: [R] Calculate interaction for a big dataframe
Hi you maybe could use paste f1-sample(letters[1:3], 10, replace=T) f2-sample(letters[4:7], 10, replace=T) f3-sample(letters[9:11], 10, replace=T) interaction(f1, f2, f3, drop=T) [1] c.e.j b.e.j a.e.j c.g.i a.f.j b.g.k a.e.i a.e.k a.d.j b.e.j Levels: a.e.i c.g.i a.d.j a.e.j b.e.j c.e.j a.f.j a.e.k b.g.k paste(f1, f2, f3, sep=.) [1] c.e.j b.e.j a.e.j c.g.i a.f.j b.g.k a.e.i a.e.k a.d.j [10] b.e.j The difference is that interaction gives you directly factor, paste gives you character vector, but it may be convenient too for your purpose. Regards Petr -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- project.org] On Behalf Of Arnaud Michel Sent: Monday, July 22, 2013 10:57 AM To: R help Subject: [R] Calculate interaction for a big dataframe Hi To calculate the value of the interaction between factors of a dataframe df, does exist any function which could replace the function when the dataframe df has the numbers of rows of df is large (~55000) and also the numbers of combinaison of the three factors is large. The calcul abort. The function to calculate the interaction is : as.numeric(interaction(df [,c(1:3)],drop=TRUE)) To complete the question and to calculate interaction beetween 3 factors f1, f2, f3, does it possible to calculate first f12 = interaction (f1,f2) and after calculate interaction (f12, f3). It seems to me that yes. Thanks for your help -- Michel ARNAUD Chargé de mission auprès du DRH DGDRD-Drh - TA 174/04 Av Agropolis 34398 Montpellier cedex 5 tel : 04.67.61.75.38 fax : 04.67.61.57.87 port: 06.47.43.55.31 __ R-help@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. __ R-help@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.
Re: [R] Calculate interaction for a big dataframe
Hi, You could try: cumsum(c(1,abs(diff(as.numeric(factor(v1)) # [1] 1 1 1 2 2 3 3 3 3 4 A.K. - Original Message - From: Arnaud Michel michel.arn...@cirad.fr To: PIKAL Petr petr.pi...@precheza.cz Cc: R help r-help@r-project.org Sent: Monday, July 22, 2013 11:41 AM Subject: Re: [R] Calculate interaction for a big dataframe Thank you Petr paste is better than interaction for long vectors But now a new problem/question is appeared. Now, I would like transform the vector v1 - c( 4162.France, 4162.France, 4162.France, 4162.Mali, 4162.Mali, 4162.France, 4162.France, 4162.France, 4162.France, 4162.Mali) into a vector V2 with the same length but with number which are creasing v2 - c(1, 1, 1, 2, 2, 3, 3,3,3, 4)) Any idea (function) ? Regards Le 22/07/2013 14:45, PIKAL Petr a écrit : Hi you maybe could use paste f1-sample(letters[1:3], 10, replace=T) f2-sample(letters[4:7], 10, replace=T) f3-sample(letters[9:11], 10, replace=T) interaction(f1, f2, f3, drop=T) [1] c.e.j b.e.j a.e.j c.g.i a.f.j b.g.k a.e.i a.e.k a.d.j b.e.j Levels: a.e.i c.g.i a.d.j a.e.j b.e.j c.e.j a.f.j a.e.k b.g.k paste(f1, f2, f3, sep=.) [1] c.e.j b.e.j a.e.j c.g.i a.f.j b.g.k a.e.i a.e.k a.d.j [10] b.e.j The difference is that interaction gives you directly factor, paste gives you character vector, but it may be convenient too for your purpose. Regards Petr -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- project.org] On Behalf Of Arnaud Michel Sent: Monday, July 22, 2013 10:57 AM To: R help Subject: [R] Calculate interaction for a big dataframe Hi To calculate the value of the interaction between factors of a dataframe df, does exist any function which could replace the function when the dataframe df has the numbers of rows of df is large (~55000) and also the numbers of combinaison of the three factors is large. The calcul abort. The function to calculate the interaction is : as.numeric(interaction(df [,c(1:3)],drop=TRUE)) To complete the question and to calculate interaction beetween 3 factors f1, f2, f3, does it possible to calculate first f12 = interaction (f1,f2) and after calculate interaction (f12, f3). It seems to me that yes. Thanks for your help -- Michel ARNAUD Chargé de mission auprès du DRH DGDRD-Drh - TA 174/04 Av Agropolis 34398 Montpellier cedex 5 tel : 04.67.61.75.38 fax : 04.67.61.57.87 port: 06.47.43.55.31 __ R-help@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. -- Michel ARNAUD Chargé de mission auprès du DRH DGDRD-Drh - TA 174/04 Av Agropolis 34398 Montpellier cedex 5 tel : 04.67.61.75.38 fax : 04.67.61.57.87 port: 06.47.43.55.31 __ R-help@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. __ R-help@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.
Re: [R] Calculate interaction for a big dataframe
Thank you Petr paste is better than interaction for long vectors But now a new problem/question is appeared. Now, I would like transform the vector v1 - c( 4162.France, 4162.France, 4162.France, 4162.Mali, 4162.Mali, 4162.France, 4162.France, 4162.France, 4162.France, 4162.Mali) into a vector V2 with the same length but with number which are creasing v2 - c(1, 1,1, 2, 2, 3, 3,3,3, 4)) Any idea (function) ? Regards Le 22/07/2013 14:45, PIKAL Petr a écrit : Hi you maybe could use paste f1-sample(letters[1:3], 10, replace=T) f2-sample(letters[4:7], 10, replace=T) f3-sample(letters[9:11], 10, replace=T) interaction(f1, f2, f3, drop=T) [1] c.e.j b.e.j a.e.j c.g.i a.f.j b.g.k a.e.i a.e.k a.d.j b.e.j Levels: a.e.i c.g.i a.d.j a.e.j b.e.j c.e.j a.f.j a.e.k b.g.k paste(f1, f2, f3, sep=.) [1] c.e.j b.e.j a.e.j c.g.i a.f.j b.g.k a.e.i a.e.k a.d.j [10] b.e.j The difference is that interaction gives you directly factor, paste gives you character vector, but it may be convenient too for your purpose. Regards Petr -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- project.org] On Behalf Of Arnaud Michel Sent: Monday, July 22, 2013 10:57 AM To: R help Subject: [R] Calculate interaction for a big dataframe Hi To calculate the value of the interaction between factors of a dataframe df, does exist any function which could replace the function when the dataframe df has the numbers of rows of df is large (~55000) and also the numbers of combinaison of the three factors is large. The calcul abort. The function to calculate the interaction is : as.numeric(interaction(df [,c(1:3)],drop=TRUE)) To complete the question and to calculate interaction beetween 3 factors f1, f2, f3, does it possible to calculate first f12 = interaction (f1,f2) and after calculate interaction (f12, f3). It seems to me that yes. Thanks for your help -- Michel ARNAUD Chargé de mission auprès du DRH DGDRD-Drh - TA 174/04 Av Agropolis 34398 Montpellier cedex 5 tel : 04.67.61.75.38 fax : 04.67.61.57.87 port: 06.47.43.55.31 __ R-help@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. -- Michel ARNAUD Chargé de mission auprès du DRH DGDRD-Drh - TA 174/04 Av Agropolis 34398 Montpellier cedex 5 tel : 04.67.61.75.38 fax : 04.67.61.57.87 port: 06.47.43.55.31 __ R-help@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.
