Multiple Boxplots in R specifying columns? -


i have had cursory search here answer seems knowledge of r limited , hoping me.

i have dataframe have extracted larger data set (shown @ end of post) , create boxplot each row, specifying columns use (q1, min, max, median) etc.

does know of way this?

the dataframe looks this:

    delivered.median delivered.max delivered.min delivered.q1 delivered.q3 delivered_int.median delivered_int.max delivered_int.min delivered_int.q1 delivered_int.q3 delivered_empt.median delivered_empt.max delivered_empt.min 1              138         39752            47           74          289                  138             39577                47               73           289.00                   138              39752                 47 2              157         13398            53           89          333                  158             13334                54               89           335.00                   157              13398                 53 3              150         12301            55           88          288                  150             12301                55               88           286.00                   150              12241                 55 4              260        262637           101          151          812                  258            262637               101              150           691.00                   260             262605                101 5              201       2410244            92          129          399                  206           2383271                92              131           373.00                   199            2410244                 92 6              988        935154            59          313        37592                  992            934499                62              310         41457.00                   988             935154                 59 7              888       1085949           108          345         8835                  888           1078636               110              345          8550.75                   888            1085949                108   delivered_empt.q1 delivered_empt.q3 delivered_tp.median delivered_tp.max delivered_tp.min delivered_tp.q1 delivered_tp.q3 delivered_tn.median delivered_tn.max delivered_tn.min delivered_tn.q1 delivered_tn.q3 1                74            290.00                  na             -inf              inf              na              na                  na             -inf              inf              na              na 2                89            332.00                 158            12749               58              89          336.25                  na             -inf              inf              na              na 3                88            288.00                 147             1704               56              88          259.00                  na             -inf              inf              na              na 4               152            849.00                 258           262637              101             149          695.25                 261           262605              101             152             849 5               129            410.00                 207            21510               92             132          369.00                 199          2410244               92             129             413 6               314          36215.25                1012           921513               65             327        43372.00                  na             -inf              inf              na              na 7               345           8909.00                 891          1078636              111             346         8394.50                 888          1085949              108             345            8960   delivered_fn.median delivered_fn.max delivered_fn.min delivered_fn.q1 delivered_fn.q3 delivered_fp.median delivered_fp.max delivered_fp.min delivered_fp.q1 delivered_fp.q3 1                  na             -inf              inf              na              na                  na             -inf              inf              na              na 2                  na             -inf              inf              na              na                  na             -inf              inf              na              na 3                  na             -inf              inf              na              na                  na             -inf              inf              na              na 4                 258           261608              102             151          858.25                 259           262039              102             151          667.25 5                 208            18650               94             132          371.00                 199          2383271               92             128          412.00 6                  na             -inf              inf              na              na                  na             -inf              inf              na              na 7                 869          1078759              111             339         7663.00                 877          1062541              110             343         9274.50 

thanks in advance!


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