Create an new column(s) after melting a DT according to a ref. DT
I have this melted DT ;
Gene SampleID value
1 Gene1 T26 0.06698887
2 Gene2 T26 1.09944463
3 Gene3 T26 3.63930176
4 Gene1 T27 0.84548702
5 Gene2 T27 -1.49075354
6 Gene3 T27 4.61516518
and a sample reference DT;
SampleID Batch Disease Infection
1: T26 1 Control No
2: T27 2 Disease Yes
DT I'd like to add columns from the ref. DT to the melted DTs 'on="SampleID"' is following;
Gene SampleID value Batch Disease Infection
1 Gene1 T26 0.06698887 1 Control No
2 Gene2 T26 1.09944463 1 Control No
3 Gene3 T26 3.63930176 1 Control No
4 Gene1 T27 0.84548702 2 Disease Yes
and so on. I tried this with := but DT complained that nrow between two DT are not the same. I've using a 'setcolumn' trick that I learned from the previous question but it is no desirable. I am looking for a DT one liner solution and any help/pointer will be appreciated.
r data.table
asked Nov 13 '18 at 21:21
akh22akh22
573
add a comment |
I have this melted DT ;
Gene SampleID value
1 Gene1 T26 0.06698887
2 Gene2 T26 1.09944463
3 Gene3 T26 3.63930176
4 Gene1 T27 0.84548702
5 Gene2 T27 -1.49075354
6 Gene3 T27 4.61516518
and a sample reference DT;
SampleID Batch Disease Infection
1: T26 1 Control No
2: T27 2 Disease Yes
DT I'd like to add columns from the ref. DT to the melted DTs 'on="SampleID"' is following;
Gene SampleID value Batch Disease Infection
1 Gene1 T26 0.06698887 1 Control No
2 Gene2 T26 1.09944463 1 Control No
3 Gene3 T26 3.63930176 1 Control No
4 Gene1 T27 0.84548702 2 Disease Yes
and so on. I tried this with := but DT complained that nrow between two DT are not the same. I've using a 'setcolumn' trick that I learned from the previous question but it is no desirable. I am looking for a DT one liner solution and any help/pointer will be appreciated.
r data.table
asked Nov 13 '18 at 21:21
akh22akh22
573
add a comment |
I have this melted DT ;
Gene SampleID value
1 Gene1 T26 0.06698887
2 Gene2 T26 1.09944463
3 Gene3 T26 3.63930176
4 Gene1 T27 0.84548702
5 Gene2 T27 -1.49075354
6 Gene3 T27 4.61516518
and a sample reference DT;
SampleID Batch Disease Infection
1: T26 1 Control No
2: T27 2 Disease Yes
DT I'd like to add columns from the ref. DT to the melted DTs 'on="SampleID"' is following;
Gene SampleID value Batch Disease Infection
1 Gene1 T26 0.06698887 1 Control No
2 Gene2 T26 1.09944463 1 Control No
3 Gene3 T26 3.63930176 1 Control No
4 Gene1 T27 0.84548702 2 Disease Yes
and so on. I tried this with := but DT complained that nrow between two DT are not the same. I've using a 'setcolumn' trick that I learned from the previous question but it is no desirable. I am looking for a DT one liner solution and any help/pointer will be appreciated.
r data.table
asked Nov 13 '18 at 21:21
akh22akh22
573
I have this melted DT ;
Gene SampleID value
1 Gene1 T26 0.06698887
2 Gene2 T26 1.09944463
3 Gene3 T26 3.63930176
4 Gene1 T27 0.84548702
5 Gene2 T27 -1.49075354
6 Gene3 T27 4.61516518
and a sample reference DT;
SampleID Batch Disease Infection
1: T26 1 Control No
2: T27 2 Disease Yes
DT I'd like to add columns from the ref. DT to the melted DTs 'on="SampleID"' is following;
Gene SampleID value Batch Disease Infection
1 Gene1 T26 0.06698887 1 Control No
2 Gene2 T26 1.09944463 1 Control No
3 Gene3 T26 3.63930176 1 Control No
4 Gene1 T27 0.84548702 2 Disease Yes
and so on. I tried this with := but DT complained that nrow between two DT are not the same. I've using a 'setcolumn' trick that I learned from the previous question but it is no desirable. I am looking for a DT one liner solution and any help/pointer will be appreciated.
r data.table
r data.table
asked Nov 13 '18 at 21:21
akh22akh22
573
asked Nov 13 '18 at 21:21
akh22akh22
573
asked Nov 13 '18 at 21:21
akh22akh22
573
asked Nov 13 '18 at 21:21
akh22akh22
573
asked Nov 13 '18 at 21:21
akh22akh22
573
573
add a comment |
add a comment |
1 Answer
1
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Something like below?
setDT(df_reference)[setDT(df_melted), on = 'SampleID']
Or just df_reference[df_melted, on = 'SampleID'] if they're already data.tables.
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
add a comment |
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Something like below?
setDT(df_reference)[setDT(df_melted), on = 'SampleID']
Or just df_reference[df_melted, on = 'SampleID'] if they're already data.tables.
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
add a comment |
Something like below?
setDT(df_reference)[setDT(df_melted), on = 'SampleID']
Or just df_reference[df_melted, on = 'SampleID'] if they're already data.tables.
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
add a comment |
Something like below?
setDT(df_reference)[setDT(df_melted), on = 'SampleID']
Or just df_reference[df_melted, on = 'SampleID'] if they're already data.tables.
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
Something like below?
setDT(df_reference)[setDT(df_melted), on = 'SampleID']
Or just df_reference[df_melted, on = 'SampleID'] if they're already data.tables.
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
answered Nov 13 '18 at 21:32
arg0nautarg0naut
4,2191316
4,2191316
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
add a comment |
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
I should've known that the inner-join would work here !!
– akh22
Nov 15 '18 at 15:46
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
Glad it works! Consider accepting the answer if you found it helpful.
– arg0naut
Nov 15 '18 at 15:50
add a comment |
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