Extracting data from a data frame with conditions












0












$begingroup$


Given the first data frame consisting of 4 columns



libId    studId    year    freq
1000 3 2002 3
1000 34 2002 2
1000 52 2004 9
1001 17 2003 5
1001 34 2003 1
.
.
.
.


If I were to extract only data with maximum frequency based on year for each libId this would be the desired output.



 libId    studId    year    freq
1000 3 2002 3
1000 52 2004 9
1001 17 2003 5
.
.
.
.


So far I've tried



data2<- by(data1, c(data1[c(1,2,3)]), function(df) max(df$Freq))

data2 <- as.data.frame(as.table(data2))


But my output is incorrect:



libId    studId    year    freq
1000 3 2002 3
1000 34 2002 2
1000 52 2004 9
1001 17 2003 5
1001 34 2003 1
.
.
.
.








share









$endgroup$

















    0












    $begingroup$


    Given the first data frame consisting of 4 columns



    libId    studId    year    freq
    1000 3 2002 3
    1000 34 2002 2
    1000 52 2004 9
    1001 17 2003 5
    1001 34 2003 1
    .
    .
    .
    .


    If I were to extract only data with maximum frequency based on year for each libId this would be the desired output.



     libId    studId    year    freq
    1000 3 2002 3
    1000 52 2004 9
    1001 17 2003 5
    .
    .
    .
    .


    So far I've tried



    data2<- by(data1, c(data1[c(1,2,3)]), function(df) max(df$Freq))

    data2 <- as.data.frame(as.table(data2))


    But my output is incorrect:



    libId    studId    year    freq
    1000 3 2002 3
    1000 34 2002 2
    1000 52 2004 9
    1001 17 2003 5
    1001 34 2003 1
    .
    .
    .
    .








    share









    $endgroup$















      0












      0








      0





      $begingroup$


      Given the first data frame consisting of 4 columns



      libId    studId    year    freq
      1000 3 2002 3
      1000 34 2002 2
      1000 52 2004 9
      1001 17 2003 5
      1001 34 2003 1
      .
      .
      .
      .


      If I were to extract only data with maximum frequency based on year for each libId this would be the desired output.



       libId    studId    year    freq
      1000 3 2002 3
      1000 52 2004 9
      1001 17 2003 5
      .
      .
      .
      .


      So far I've tried



      data2<- by(data1, c(data1[c(1,2,3)]), function(df) max(df$Freq))

      data2 <- as.data.frame(as.table(data2))


      But my output is incorrect:



      libId    studId    year    freq
      1000 3 2002 3
      1000 34 2002 2
      1000 52 2004 9
      1001 17 2003 5
      1001 34 2003 1
      .
      .
      .
      .








      share









      $endgroup$




      Given the first data frame consisting of 4 columns



      libId    studId    year    freq
      1000 3 2002 3
      1000 34 2002 2
      1000 52 2004 9
      1001 17 2003 5
      1001 34 2003 1
      .
      .
      .
      .


      If I were to extract only data with maximum frequency based on year for each libId this would be the desired output.



       libId    studId    year    freq
      1000 3 2002 3
      1000 52 2004 9
      1001 17 2003 5
      .
      .
      .
      .


      So far I've tried



      data2<- by(data1, c(data1[c(1,2,3)]), function(df) max(df$Freq))

      data2 <- as.data.frame(as.table(data2))


      But my output is incorrect:



      libId    studId    year    freq
      1000 3 2002 3
      1000 34 2002 2
      1000 52 2004 9
      1001 17 2003 5
      1001 34 2003 1
      .
      .
      .
      .






      r dataset





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      asked 3 mins ago









      MaxxxMaxxx

      1273




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