Re: [R] computing a subset using a loop
Hi, thanks I think now I understand how it works... I m using now this code for the first specie in all my transect IDs. df.s - split(Baumdaten, list(Baumdaten$transectID, Baumdaten$Baumart), drop = TRUE) head(names(df.s), 10) A_SEF_Abies alba A_LEF_Abies alba B_SEF_Abies alba B_LEF_Abies alba C_SEF_Abies alba C_LEF_Abies alba D_SEF_Abies alba D_LEF_Abies alba E_SEF_Abies alba E_LEF_Abies alba But can you tell me how, I can make subsets out of one of the subsets. For example I want boxplot for the variable age. Is it something like this? It dosent work, I know... lapply(df.s,boxplot(A_SEF_Abies alba$Baumart)) Thanks in advanced -- View this message in context: http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564p4636653.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] computing a subset using a loop
If you just wanted to do a boxplot of one of the subset, you would do something like: boxplot(df.s[[A_SEF_Abies alba]]$age) If you wanted to do it for all the subset, then something like: lapply(df.s, function(.sub) boxplot(.sub$age)) On Mon, Jul 16, 2012 at 11:14 AM, burton030 burto...@hotmail.de wrote: Hi, thanks I think now I understand how it works... I m using now this code for the first specie in all my transect IDs. df.s - split(Baumdaten, list(Baumdaten$transectID, Baumdaten$Baumart), drop = TRUE) head(names(df.s), 10) A_SEF_Abies alba A_LEF_Abies alba B_SEF_Abies alba B_LEF_Abies alba C_SEF_Abies alba C_LEF_Abies alba D_SEF_Abies alba D_LEF_Abies alba E_SEF_Abies alba E_LEF_Abies alba But can you tell me how, I can make subsets out of one of the subsets. For example I want boxplot for the variable age. Is it something like this? It dosent work, I know... lapply(df.s,boxplot(A_SEF_Abies alba$Baumart)) Thanks in advanced -- View this message in context: http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564p4636653.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. -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. __ 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] computing a subset using a loop
Dear all, I have a data frame with different variables and I want to build different subsets out of this data frame using some conditions and I want to use a loop because there will be a lot of subsets and this would be saving a lot of time. I try to give you an overview about my data frame. I have a data frame named Baumdaten and it has one column named transectID with different IDs (A_SEF ,A_LEF, B_SEF etc.) there is another column named Baumart with different species like Abies alba, Betula pendula, etc. I want to build now subsets and the first subset should be named A_2_SEF_Abies_alba and should contain all Abies alba that are living in A_2_SEF. So the normal code would be A_2_SEF_Abies_alba-subset(Baumdaten,Baumart==Abies albapointID==A_2_SEF) The following step would be to replace Abies alba with Betula pendula and so on after doing this for A_SEF I have to start with A_LEF so a lot of time is needing thats why I want to ask if it is possible doing this by using a loop? Hope you can understand my problem... -- View this message in context: http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564.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.
Re: [R] computing a subset using a loop
I looks like you want to use the 'split' function which would create a list of dataframes with the various conditions: result - split(Baumdaten, list(Baumdaten$transectID, Baumdaten$Baumart), drop = TRUE) On Sun, Jul 15, 2012 at 11:31 AM, burton030 burto...@hotmail.de wrote: Dear all, I have a data frame with different variables and I want to build different subsets out of this data frame using some conditions and I want to use a loop because there will be a lot of subsets and this would be saving a lot of time. I try to give you an overview about my data frame. I have a data frame named Baumdaten and it has one column named transectID with different IDs (A_SEF ,A_LEF, B_SEF etc.) there is another column named Baumart with different species like Abies alba, Betula pendula, etc. I want to build now subsets and the first subset should be named A_2_SEF_Abies_alba and should contain all Abies alba that are living in A_2_SEF. So the normal code would be A_2_SEF_Abies_alba-subset(Baumdaten,Baumart==Abies albapointID==A_2_SEF) The following step would be to replace Abies alba with Betula pendula and so on after doing this for A_SEF I have to start with A_LEF so a lot of time is needing thats why I want to ask if it is possible doing this by using a loop? Hope you can understand my problem... -- View this message in context: http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564.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. -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. __ 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] computing a subset using a loop
http://r.789695.n4.nabble.com/file/n4636585/Baumdaten_aufbereitet.csv Baumdaten_aufbereitet.csv Here you have an overview about my data frame... -- View this message in context: http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564p4636585.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.
Re: [R] computing a subset using a loop
Hi, thanks for your reply but this code just gives me a list but no subsets but I need subsets because I want to do some calculations with these subsets and want do make some plots etc. Is there a solution for my problem? I ve posted an example for the first subset... http://r.789695.n4.nabble.com/file/n4636591/A_SEF_Abies_alba.csv A_SEF_Abies_alba.csv -- View this message in context: http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564p4636591.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.
Re: [R] computing a subset using a loop
Here is an example of using your data to split it into the subsets and then computing a summary of each subset. You have to remember that what is returned from 'split' is a 'list' of 'data.frames' that as the subsets that you want and then use use 'lapply' to process each of the subsets in the list. df - read.table(C:\\Documents and Settings\\kon9407\\My Documents\\Downloads\\Baumdaten_aufbereitet (1).csv + , sep = ';' + , as.is = TRUE + , header = TRUE + ) # split the data into a list of dataframe df.s - split(df, list(df$Plot..ID., df$Baumart), drop = TRUE) head(names(df.s), 20) [1] A_2_1.Abies alba A_2_2.Abies alba A_2_3.Abies alba A_2_4.Abies alba [5] A_2_5.Abies alba A_2_6.Abies alba A_3_1.Abies alba A_3_4.Abies alba [9] A_3_5.Abies alba A_3_6.Abies alba A_4_1.Abies alba A_4_3.Abies alba [13] A_4_4.Abies alba A_4_5.Abies alba A_4_6.Abies alba B_1_2.Abies alba [17] B_1_4.Abies alba B_1_5.Abies alba B_1_6.Abies alba B_2_4.Abies alba df.s[1] $`A_2_1.Abies alba` X Plot..ID. Alter.Neuer.Wald Hoehe..m. Radius..cm. Familie BaumartDeutsch 1 1 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 2 2 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 3 3 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 4 4 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 5 5 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 6 6 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 7 7 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 8 8 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne 9 9 A_2_12 6475,64 Kieferngewaechse Abies alba Weisstanne Englisch Umfang..cm.DBH..cm. Gehoelz Bemerkungen Fotos Waldart pointID 1 European silver fir 38 12,09577569 0 NA SEF A_2_SEF 2 European silver fir NANA 1 NA SEF A_2_SEF 3 European silver fir NANA 1 NA SEF A_2_SEF 4 European silver fir NANA 1 NA SEF A_2_SEF 5 European silver fir NANA 1 NA SEF A_2_SEF 6 European silver fir NANA 1 NA SEF A_2_SEF 7 European silver fir NANA 1 NA SEF A_2_SEF 8 European silver fir NANA 1 NA SEF A_2_SEF 9 European silver fir NANA 1 NA SEF A_2_SEF transectID DBH_inch age 1 A_SEF 4,76211641338583 35,7158731003937 2 A_SEF NA NA 3 A_SEF NA NA 4 A_SEF NA NA 5 A_SEF NA NA 6 A_SEF NA NA 7 A_SEF NA NA 8 A_SEF NA NA 9 A_SEF NA NA lapply(df.s, summary) # notice the names of each of the subsets is printed $`A_2_1.Abies alba` X Plot..ID. Alter.Neuer.Wald Hoehe..m. Radius..cm. Min. :1 Length:9 Min. :2Min. :647 Length:9 1st Qu.:3 Class :character 1st Qu.:21st Qu.:647 Class :character Median :5 Mode :character Median :2Median :647 Mode :character Mean :5 Mean :2Mean :647 3rd Qu.:7 3rd Qu.:23rd Qu.:647 Max. :9 Max. :2Max. :647 FamilieBaumartDeutschEnglisch Umfang..cm. Length:9 Length:9 Length:9 Length:9 Min. :38 Class :character Class :character Class :character Class :character 1st Qu.:38 Mode :character Mode :character Mode :character Mode :character Median :38 Mean :38 3rd Qu.:38 Max. :38 NA's :8 DBH..cm.Gehoelz Bemerkungen Fotos Waldart Length:9 Min. :0. Length:9 Mode:logical Length:9 Class :character 1st Qu.:1. Class :character NA's:9 Class :character Mode :character Median :1. Mode :character Mode :character Mean :0.8889 3rd Qu.:1. Max. :1. pointID transectID DBH_inch age Length:9 Length:9 Length:9 Length:9 Class :character Class :character Class :character Class :character Mode :character Mode :character Mode :character Mode :character $`A_2_2.Abies alba` X Plot..ID. Alter.Neuer.Wald Hoehe..m. Radius..cm. Min. :12 Length:1 Min. :2Min. :660 Length:1 1st Qu.:12 Class :character 1st Qu.:2
