How to change the values of table with column name












1














Following code gave me data table



library(RMySQL)
library(reshape)
library(philentropy)
library(distances)
mydb = dbConnect(MySQL(), user='root', password='root', dbname='test_db', host='127.0.0.1')
rs = dbSendQuery(mydb,'select cv.entity_id,cv.attribute_id, cv.value/1000 as value from test_1 cv limit 100')
data = fetch(rs,n=-1)
pivotedData = cast(data,entity_id ~ attribute_id)
distCalcNew = distances(pivotedData,id_variable='entity_id')
nns <- nearest_neighbor_search(distCalcNew,k=3)
nnsdt <- data.table(nns)


I have a data table in R as follows, data points indicates column indices



    8456 8720 5780
1: 1 2 3
2: 3 3 2
3: 2 1 1


Is it possible to get the following?



    8456 8720 5780
1: 8456 8720 5780
2: 5780 5780 8720
3: 8720 8456 8456


Sorry, I'm new to R










share|improve this question





























    1














    Following code gave me data table



    library(RMySQL)
    library(reshape)
    library(philentropy)
    library(distances)
    mydb = dbConnect(MySQL(), user='root', password='root', dbname='test_db', host='127.0.0.1')
    rs = dbSendQuery(mydb,'select cv.entity_id,cv.attribute_id, cv.value/1000 as value from test_1 cv limit 100')
    data = fetch(rs,n=-1)
    pivotedData = cast(data,entity_id ~ attribute_id)
    distCalcNew = distances(pivotedData,id_variable='entity_id')
    nns <- nearest_neighbor_search(distCalcNew,k=3)
    nnsdt <- data.table(nns)


    I have a data table in R as follows, data points indicates column indices



        8456 8720 5780
    1: 1 2 3
    2: 3 3 2
    3: 2 1 1


    Is it possible to get the following?



        8456 8720 5780
    1: 8456 8720 5780
    2: 5780 5780 8720
    3: 8720 8456 8456


    Sorry, I'm new to R










    share|improve this question



























      1












      1








      1







      Following code gave me data table



      library(RMySQL)
      library(reshape)
      library(philentropy)
      library(distances)
      mydb = dbConnect(MySQL(), user='root', password='root', dbname='test_db', host='127.0.0.1')
      rs = dbSendQuery(mydb,'select cv.entity_id,cv.attribute_id, cv.value/1000 as value from test_1 cv limit 100')
      data = fetch(rs,n=-1)
      pivotedData = cast(data,entity_id ~ attribute_id)
      distCalcNew = distances(pivotedData,id_variable='entity_id')
      nns <- nearest_neighbor_search(distCalcNew,k=3)
      nnsdt <- data.table(nns)


      I have a data table in R as follows, data points indicates column indices



          8456 8720 5780
      1: 1 2 3
      2: 3 3 2
      3: 2 1 1


      Is it possible to get the following?



          8456 8720 5780
      1: 8456 8720 5780
      2: 5780 5780 8720
      3: 8720 8456 8456


      Sorry, I'm new to R










      share|improve this question















      Following code gave me data table



      library(RMySQL)
      library(reshape)
      library(philentropy)
      library(distances)
      mydb = dbConnect(MySQL(), user='root', password='root', dbname='test_db', host='127.0.0.1')
      rs = dbSendQuery(mydb,'select cv.entity_id,cv.attribute_id, cv.value/1000 as value from test_1 cv limit 100')
      data = fetch(rs,n=-1)
      pivotedData = cast(data,entity_id ~ attribute_id)
      distCalcNew = distances(pivotedData,id_variable='entity_id')
      nns <- nearest_neighbor_search(distCalcNew,k=3)
      nnsdt <- data.table(nns)


      I have a data table in R as follows, data points indicates column indices



          8456 8720 5780
      1: 1 2 3
      2: 3 3 2
      3: 2 1 1


      Is it possible to get the following?



          8456 8720 5780
      1: 8456 8720 5780
      2: 5780 5780 8720
      3: 8720 8456 8456


      Sorry, I'm new to R







      r data.table






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 7:20

























      asked Nov 14 '18 at 7:00









      Nausif

      13210




      13210
























          3 Answers
          3






          active

          oldest

          votes


















          2














          Here is another idea,



          m1 <- matrix(names(x)[unlist(x)], ncol = ncol(x))

          #tidy up
          setNames(data.frame(m1), names(x))
          # 8456 8720 5780
          #1 8456 8720 5780
          #2 5780 5780 8720
          #3 8720 8456 8456





          share|improve this answer





























            1














            You can use lapply to the DataFrame df, so that based on the value, it will retrive the column name in that index



            df <-  lapply(df, function(x) {
            return(colnames(df)[x])
            })





            share|improve this answer























            • I have updated the example, now how will I do it?
              – Nausif
              Nov 14 '18 at 7:08










            • Can you also post the code for data initialization?
              – Andreas
              Nov 14 '18 at 7:10










            • I have updated the code initialization
              – Nausif
              Nov 14 '18 at 7:21










            • Edited based on your example
              – Andreas
              Nov 14 '18 at 7:34



















            1














            Using lapply, but there must be a better "data.table-way":



            library(data.table)

            x <- fread("8456 8720 5780
            1 2 3
            3 3 2
            2 1 1", header = TRUE)


            as.data.table(lapply(x, function(i) as.integer(colnames(x)[ i ])))
            # 8456 8720 5780
            # 1: 8456 8720 5780
            # 2: 5780 5780 8720
            # 3: 8720 8456 8456





            share|improve this answer























            • I don't have string instead a data table to begin with
              – Nausif
              Nov 14 '18 at 7:22










            • @Nausif just use as.integer ? (edited)
              – zx8754
              Nov 14 '18 at 8:11











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            3 Answers
            3






            active

            oldest

            votes








            3 Answers
            3






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2














            Here is another idea,



            m1 <- matrix(names(x)[unlist(x)], ncol = ncol(x))

            #tidy up
            setNames(data.frame(m1), names(x))
            # 8456 8720 5780
            #1 8456 8720 5780
            #2 5780 5780 8720
            #3 8720 8456 8456





            share|improve this answer


























              2














              Here is another idea,



              m1 <- matrix(names(x)[unlist(x)], ncol = ncol(x))

              #tidy up
              setNames(data.frame(m1), names(x))
              # 8456 8720 5780
              #1 8456 8720 5780
              #2 5780 5780 8720
              #3 8720 8456 8456





              share|improve this answer
























                2












                2








                2






                Here is another idea,



                m1 <- matrix(names(x)[unlist(x)], ncol = ncol(x))

                #tidy up
                setNames(data.frame(m1), names(x))
                # 8456 8720 5780
                #1 8456 8720 5780
                #2 5780 5780 8720
                #3 8720 8456 8456





                share|improve this answer












                Here is another idea,



                m1 <- matrix(names(x)[unlist(x)], ncol = ncol(x))

                #tidy up
                setNames(data.frame(m1), names(x))
                # 8456 8720 5780
                #1 8456 8720 5780
                #2 5780 5780 8720
                #3 8720 8456 8456






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 14 '18 at 7:22









                Sotos

                28k51640




                28k51640

























                    1














                    You can use lapply to the DataFrame df, so that based on the value, it will retrive the column name in that index



                    df <-  lapply(df, function(x) {
                    return(colnames(df)[x])
                    })





                    share|improve this answer























                    • I have updated the example, now how will I do it?
                      – Nausif
                      Nov 14 '18 at 7:08










                    • Can you also post the code for data initialization?
                      – Andreas
                      Nov 14 '18 at 7:10










                    • I have updated the code initialization
                      – Nausif
                      Nov 14 '18 at 7:21










                    • Edited based on your example
                      – Andreas
                      Nov 14 '18 at 7:34
















                    1














                    You can use lapply to the DataFrame df, so that based on the value, it will retrive the column name in that index



                    df <-  lapply(df, function(x) {
                    return(colnames(df)[x])
                    })





                    share|improve this answer























                    • I have updated the example, now how will I do it?
                      – Nausif
                      Nov 14 '18 at 7:08










                    • Can you also post the code for data initialization?
                      – Andreas
                      Nov 14 '18 at 7:10










                    • I have updated the code initialization
                      – Nausif
                      Nov 14 '18 at 7:21










                    • Edited based on your example
                      – Andreas
                      Nov 14 '18 at 7:34














                    1












                    1








                    1






                    You can use lapply to the DataFrame df, so that based on the value, it will retrive the column name in that index



                    df <-  lapply(df, function(x) {
                    return(colnames(df)[x])
                    })





                    share|improve this answer














                    You can use lapply to the DataFrame df, so that based on the value, it will retrive the column name in that index



                    df <-  lapply(df, function(x) {
                    return(colnames(df)[x])
                    })






                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited Nov 14 '18 at 7:33

























                    answered Nov 14 '18 at 7:06









                    Andreas

                    1,7861718




                    1,7861718












                    • I have updated the example, now how will I do it?
                      – Nausif
                      Nov 14 '18 at 7:08










                    • Can you also post the code for data initialization?
                      – Andreas
                      Nov 14 '18 at 7:10










                    • I have updated the code initialization
                      – Nausif
                      Nov 14 '18 at 7:21










                    • Edited based on your example
                      – Andreas
                      Nov 14 '18 at 7:34


















                    • I have updated the example, now how will I do it?
                      – Nausif
                      Nov 14 '18 at 7:08










                    • Can you also post the code for data initialization?
                      – Andreas
                      Nov 14 '18 at 7:10










                    • I have updated the code initialization
                      – Nausif
                      Nov 14 '18 at 7:21










                    • Edited based on your example
                      – Andreas
                      Nov 14 '18 at 7:34
















                    I have updated the example, now how will I do it?
                    – Nausif
                    Nov 14 '18 at 7:08




                    I have updated the example, now how will I do it?
                    – Nausif
                    Nov 14 '18 at 7:08












                    Can you also post the code for data initialization?
                    – Andreas
                    Nov 14 '18 at 7:10




                    Can you also post the code for data initialization?
                    – Andreas
                    Nov 14 '18 at 7:10












                    I have updated the code initialization
                    – Nausif
                    Nov 14 '18 at 7:21




                    I have updated the code initialization
                    – Nausif
                    Nov 14 '18 at 7:21












                    Edited based on your example
                    – Andreas
                    Nov 14 '18 at 7:34




                    Edited based on your example
                    – Andreas
                    Nov 14 '18 at 7:34











                    1














                    Using lapply, but there must be a better "data.table-way":



                    library(data.table)

                    x <- fread("8456 8720 5780
                    1 2 3
                    3 3 2
                    2 1 1", header = TRUE)


                    as.data.table(lapply(x, function(i) as.integer(colnames(x)[ i ])))
                    # 8456 8720 5780
                    # 1: 8456 8720 5780
                    # 2: 5780 5780 8720
                    # 3: 8720 8456 8456





                    share|improve this answer























                    • I don't have string instead a data table to begin with
                      – Nausif
                      Nov 14 '18 at 7:22










                    • @Nausif just use as.integer ? (edited)
                      – zx8754
                      Nov 14 '18 at 8:11
















                    1














                    Using lapply, but there must be a better "data.table-way":



                    library(data.table)

                    x <- fread("8456 8720 5780
                    1 2 3
                    3 3 2
                    2 1 1", header = TRUE)


                    as.data.table(lapply(x, function(i) as.integer(colnames(x)[ i ])))
                    # 8456 8720 5780
                    # 1: 8456 8720 5780
                    # 2: 5780 5780 8720
                    # 3: 8720 8456 8456





                    share|improve this answer























                    • I don't have string instead a data table to begin with
                      – Nausif
                      Nov 14 '18 at 7:22










                    • @Nausif just use as.integer ? (edited)
                      – zx8754
                      Nov 14 '18 at 8:11














                    1












                    1








                    1






                    Using lapply, but there must be a better "data.table-way":



                    library(data.table)

                    x <- fread("8456 8720 5780
                    1 2 3
                    3 3 2
                    2 1 1", header = TRUE)


                    as.data.table(lapply(x, function(i) as.integer(colnames(x)[ i ])))
                    # 8456 8720 5780
                    # 1: 8456 8720 5780
                    # 2: 5780 5780 8720
                    # 3: 8720 8456 8456





                    share|improve this answer














                    Using lapply, but there must be a better "data.table-way":



                    library(data.table)

                    x <- fread("8456 8720 5780
                    1 2 3
                    3 3 2
                    2 1 1", header = TRUE)


                    as.data.table(lapply(x, function(i) as.integer(colnames(x)[ i ])))
                    # 8456 8720 5780
                    # 1: 8456 8720 5780
                    # 2: 5780 5780 8720
                    # 3: 8720 8456 8456






                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited Nov 14 '18 at 8:11

























                    answered Nov 14 '18 at 7:11









                    zx8754

                    29.1k76398




                    29.1k76398












                    • I don't have string instead a data table to begin with
                      – Nausif
                      Nov 14 '18 at 7:22










                    • @Nausif just use as.integer ? (edited)
                      – zx8754
                      Nov 14 '18 at 8:11


















                    • I don't have string instead a data table to begin with
                      – Nausif
                      Nov 14 '18 at 7:22










                    • @Nausif just use as.integer ? (edited)
                      – zx8754
                      Nov 14 '18 at 8:11
















                    I don't have string instead a data table to begin with
                    – Nausif
                    Nov 14 '18 at 7:22




                    I don't have string instead a data table to begin with
                    – Nausif
                    Nov 14 '18 at 7:22












                    @Nausif just use as.integer ? (edited)
                    – zx8754
                    Nov 14 '18 at 8:11




                    @Nausif just use as.integer ? (edited)
                    – zx8754
                    Nov 14 '18 at 8:11


















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