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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