Re: [R] How can I appoint a small part of the whole data
Dear baptiste, many thanks for your suggestions ! best, yichih 2009/9/5, baptiste auguie baptiste.aug...@googlemail.com: Hi, you have two problems in your first scenario, 1- Wrong operator precedence. For example, 1 == 2 | 3 [1] TRUE where 1==2 is tested as FALSE, but 1 is not tested against 3 for equality as it would be using, 1 == 2 | 1 == 3 [1] FALSE or using %in% 2:3 Instead, R evaluates FALSE | 3, and 2- it so happens that non-zero integers are treated as TRUE, according to ?| as.logical(1) [1] TRUE as.logical(0) [1] FALSE HTH, baptiste 2009/9/5 Yichih Hsieh yichih.hs...@gmail.com Dear all, I got another problem: if education have five levels edu=1 edu=2 edu=3 edu=4 edu=5 If I want to appoint y=edu2~4 in 1990 which programs is correct? I tried this two programs, they both work, but two results is different. 1. fig2b-reldist(y=mu1990$wage[mu1990$edu==2|3|4],..) 2. fig2b-reldist(y=mu1990$wage[mu1990$edu%in%2:4],..) which one is correct? and why they have different results? All help high appreciated. best, Yichih 2009/9/5 Yichih Hsieh yichih.hs...@gmail.com Dear Petr, your suggestion is useful many thanks for your help ! best, Yichih 2009/9/3 Petr PIKAL petr.pi...@precheza.cz Hi use any of suitable selection ways that are in R. E.g. data[data$gender==1, ] selects only female values data$wage[(data$gender==1) (data$race=1)] selects black female wages. and see also ?subset Regards Petr r-help-boun...@r-project.org napsal dne 03.09.2009 10:51:59: Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b-reldist(y=mu1990$wage,yo=mu1980$wage,...) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in 1990 yo=men's wage in 1990 3. If I want to appoint y=black women's wage in 1990 yo=white women's wage in 1990 How can I modify the commands? All help highly appreciated. Best, Yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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.htmlhttp://www.r-project.org/posting-guide.html http://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yichih Hsieh e-mail : yichih.hs...@gmail.com -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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.htmlhttp://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- _ Baptiste Auguié School of Physics University of Exeter Stocker Road, Exeter, Devon, EX4 4QL, UK http://newton.ex.ac.uk/research/emag __ -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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] How can I appoint a small part of the whole data
Dear Mark, many thanks for your suggestions ! best, yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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] How can I appoint a small part of the whole data
Dear Petr, your suggestion is useful many thanks for your help ! best, Yichih 2009/9/3 Petr PIKAL petr.pi...@precheza.cz Hi use any of suitable selection ways that are in R. E.g. data[data$gender==1, ] selects only female values data$wage[(data$gender==1) (data$race=1)] selects black female wages. and see also ?subset Regards Petr r-help-boun...@r-project.org napsal dne 03.09.2009 10:51:59: Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b-reldist(y=mu1990$wage,yo=mu1980$wage,...) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in 1990 yo=men's wage in 1990 3. If I want to appoint y=black women's wage in 1990 yo=white women's wage in 1990 How can I modify the commands? All help highly appreciated. Best, Yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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.htmlhttp://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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] How can I appoint a small part of the whole data
Dear all, I got another problem: if education have five levels edu=1 edu=2 edu=3 edu=4 edu=5 If I want to appoint y=edu2~4 in 1990 which programs is correct? I tried this two programs, they both work, but two results is different. 1. fig2b-reldist(y=mu1990$wage[mu1990$edu==2|3|4],..) 2. fig2b-reldist(y=mu1990$wage[mu1990$edu%in%2:4],..) which one is correct? and why they have different results? All help high appreciated. best, Yichih 2009/9/5 Yichih Hsieh yichih.hs...@gmail.com Dear Petr, your suggestion is useful many thanks for your help ! best, Yichih 2009/9/3 Petr PIKAL petr.pi...@precheza.cz Hi use any of suitable selection ways that are in R. E.g. data[data$gender==1, ] selects only female values data$wage[(data$gender==1) (data$race=1)] selects black female wages. and see also ?subset Regards Petr r-help-boun...@r-project.org napsal dne 03.09.2009 10:51:59: Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b-reldist(y=mu1990$wage,yo=mu1980$wage,...) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in 1990 yo=men's wage in 1990 3. If I want to appoint y=black women's wage in 1990 yo=white women's wage in 1990 How can I modify the commands? All help highly appreciated. Best, Yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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.htmlhttp://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yichih Hsieh e-mail : yichih.hs...@gmail.com -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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] How can I appoint a small part of the whole data
Hi, you have two problems in your first scenario, 1- Wrong operator precedence. For example, 1 == 2 | 3 [1] TRUE where 1==2 is tested as FALSE, but 1 is not tested against 3 for equality as it would be using, 1 == 2 | 1 == 3 [1] FALSE or using %in% 2:3 Instead, R evaluates FALSE | 3, and 2- it so happens that non-zero integers are treated as TRUE, according to ?| as.logical(1) [1] TRUE as.logical(0) [1] FALSE HTH, baptiste 2009/9/5 Yichih Hsieh yichih.hs...@gmail.com Dear all, I got another problem: if education have five levels edu=1 edu=2 edu=3 edu=4 edu=5 If I want to appoint y=edu2~4 in 1990 which programs is correct? I tried this two programs, they both work, but two results is different. 1. fig2b-reldist(y=mu1990$wage[mu1990$edu==2|3|4],..) 2. fig2b-reldist(y=mu1990$wage[mu1990$edu%in%2:4],..) which one is correct? and why they have different results? All help high appreciated. best, Yichih 2009/9/5 Yichih Hsieh yichih.hs...@gmail.com Dear Petr, your suggestion is useful many thanks for your help ! best, Yichih 2009/9/3 Petr PIKAL petr.pi...@precheza.cz Hi use any of suitable selection ways that are in R. E.g. data[data$gender==1, ] selects only female values data$wage[(data$gender==1) (data$race=1)] selects black female wages. and see also ?subset Regards Petr r-help-boun...@r-project.org napsal dne 03.09.2009 10:51:59: Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b-reldist(y=mu1990$wage,yo=mu1980$wage,...) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in 1990 yo=men's wage in 1990 3. If I want to appoint y=black women's wage in 1990 yo=white women's wage in 1990 How can I modify the commands? All help highly appreciated. Best, Yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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 http://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yichih Hsieh e-mail : yichih.hs...@gmail.com -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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. -- _ Baptiste Auguié School of Physics University of Exeter Stocker Road, Exeter, Devon, EX4 4QL, UK http://newton.ex.ac.uk/research/emag __ [[alternative HTML version deleted]] __ 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] How can I appoint a small part of the whole data
Yichih, Answer 2 is correct, because your indexing specification for 1 is wrong. You also seem to have left out a comma. ## mu1990$wage[mu1990$edu==2|mu1990$edu==3|mu1990$edu==4, ] ## like this mu1990$wage[mu1990$edu%in%2:4, ] You really could have worked this out for yourself by looking at the results of your subsetting/indexing operation. Mark. Yichih Hsieh wrote: Dear all, I got another problem: if education have five levels edu=1 edu=2 edu=3 edu=4 edu=5 If I want to appoint y=edu2~4 in 1990 which programs is correct? I tried this two programs, they both work, but two results is different. 1. fig2b-reldist(y=mu1990$wage[mu1990$edu==2|3|4],..) 2. fig2b-reldist(y=mu1990$wage[mu1990$edu%in%2:4],..) which one is correct? and why they have different results? All help high appreciated. best, Yichih 2009/9/5 Yichih Hsieh yichih.hs...@gmail.com Dear Petr, your suggestion is useful many thanks for your help ! best, Yichih 2009/9/3 Petr PIKAL petr.pi...@precheza.cz Hi use any of suitable selection ways that are in R. E.g. data[data$gender==1, ] selects only female values data$wage[(data$gender==1) (data$race=1)] selects black female wages. and see also ?subset Regards Petr r-help-boun...@r-project.org napsal dne 03.09.2009 10:51:59: Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b-reldist(y=mu1990$wage,yo=mu1980$wage,...) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in 1990 yo=men's wage in 1990 3. If I want to appoint y=black women's wage in 1990 yo=white women's wage in 1990 How can I modify the commands? All help highly appreciated. Best, Yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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.htmlhttp://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yichih Hsieh e-mail : yichih.hs...@gmail.com -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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. -- View this message in context: http://www.nabble.com/How-can-I-appoint-a-small-part-of-the-whole-data-tp25272209p25308714.html Sent from the R help mailing list archive at Nabble.com. __ 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] How can I appoint a small part of the whole data
Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b-reldist(y=mu1990$wage,yo=mu1980$wage,...) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in 1990 yo=men's wage in 1990 3. If I want to appoint y=black women's wage in 1990 yo=white women's wage in 1990 How can I modify the commands? All help highly appreciated. Best, Yichih -- Yichih Hsieh e-mail : yichih.hs...@gmail.com [[alternative HTML version deleted]] __ 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.
