duplicate row values for same ID











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I have looked at the various threads and sadly the answers provided are not working. I am merging two files. Both files have common column names. I want the two data sets to merge for the same time point, however when I use the command s3<-merge(s1,s2,all=TRUE), it gives me a file as follows:



screenshot of file



I would like the duplicate time points to be removed.



If I use s3<-merge(s1,s2,all.x=TRUE), then none of the data from s2 gets merged.



When reading the data file I am using s2<-read.csv('X.csv',stringsAsFactors=FALSE).



I don't know where I am going wrong.










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  • 2




    Please edit your question to include reproducible data and code.
    – Jan Boyer
    Nov 19 at 19:14










  • How about merge(merge(df1, df2, by='id', all=T), df3, by='id', all=T)? or use cbind method.
    – kon_u
    Nov 20 at 10:36










  • actually let me re phrase - so ultimately what i want is this - for the same ID, i want to time match different columns
    – v1983
    2 days ago















up vote
0
down vote

favorite












I have looked at the various threads and sadly the answers provided are not working. I am merging two files. Both files have common column names. I want the two data sets to merge for the same time point, however when I use the command s3<-merge(s1,s2,all=TRUE), it gives me a file as follows:



screenshot of file



I would like the duplicate time points to be removed.



If I use s3<-merge(s1,s2,all.x=TRUE), then none of the data from s2 gets merged.



When reading the data file I am using s2<-read.csv('X.csv',stringsAsFactors=FALSE).



I don't know where I am going wrong.










share|improve this question




















  • 2




    Please edit your question to include reproducible data and code.
    – Jan Boyer
    Nov 19 at 19:14










  • How about merge(merge(df1, df2, by='id', all=T), df3, by='id', all=T)? or use cbind method.
    – kon_u
    Nov 20 at 10:36










  • actually let me re phrase - so ultimately what i want is this - for the same ID, i want to time match different columns
    – v1983
    2 days ago













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have looked at the various threads and sadly the answers provided are not working. I am merging two files. Both files have common column names. I want the two data sets to merge for the same time point, however when I use the command s3<-merge(s1,s2,all=TRUE), it gives me a file as follows:



screenshot of file



I would like the duplicate time points to be removed.



If I use s3<-merge(s1,s2,all.x=TRUE), then none of the data from s2 gets merged.



When reading the data file I am using s2<-read.csv('X.csv',stringsAsFactors=FALSE).



I don't know where I am going wrong.










share|improve this question















I have looked at the various threads and sadly the answers provided are not working. I am merging two files. Both files have common column names. I want the two data sets to merge for the same time point, however when I use the command s3<-merge(s1,s2,all=TRUE), it gives me a file as follows:



screenshot of file



I would like the duplicate time points to be removed.



If I use s3<-merge(s1,s2,all.x=TRUE), then none of the data from s2 gets merged.



When reading the data file I am using s2<-read.csv('X.csv',stringsAsFactors=FALSE).



I don't know where I am going wrong.







r rstudio






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 19 at 23:45









Mihai Chelaru

2,14071022




2,14071022










asked Nov 19 at 19:11









v1983

61




61








  • 2




    Please edit your question to include reproducible data and code.
    – Jan Boyer
    Nov 19 at 19:14










  • How about merge(merge(df1, df2, by='id', all=T), df3, by='id', all=T)? or use cbind method.
    – kon_u
    Nov 20 at 10:36










  • actually let me re phrase - so ultimately what i want is this - for the same ID, i want to time match different columns
    – v1983
    2 days ago














  • 2




    Please edit your question to include reproducible data and code.
    – Jan Boyer
    Nov 19 at 19:14










  • How about merge(merge(df1, df2, by='id', all=T), df3, by='id', all=T)? or use cbind method.
    – kon_u
    Nov 20 at 10:36










  • actually let me re phrase - so ultimately what i want is this - for the same ID, i want to time match different columns
    – v1983
    2 days ago








2




2




Please edit your question to include reproducible data and code.
– Jan Boyer
Nov 19 at 19:14




Please edit your question to include reproducible data and code.
– Jan Boyer
Nov 19 at 19:14












How about merge(merge(df1, df2, by='id', all=T), df3, by='id', all=T)? or use cbind method.
– kon_u
Nov 20 at 10:36




How about merge(merge(df1, df2, by='id', all=T), df3, by='id', all=T)? or use cbind method.
– kon_u
Nov 20 at 10:36












actually let me re phrase - so ultimately what i want is this - for the same ID, i want to time match different columns
– v1983
2 days ago




actually let me re phrase - so ultimately what i want is this - for the same ID, i want to time match different columns
– v1983
2 days ago

















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