我有一个看起来像这样的数据集df：
Experiment Ch1 Ch2 Ch3 Ch4
exp_1 -1548 -19296 -65764 -64392
exp_1 -1572 -19304 -65756 -64392
exp_1 -1588 -19284 -65748 -64400
exp_1 -1580 -19292 -65760 -64392
exp_1 -1584 -19292 -65744 -64388
exp_1 -1580 -19292 -65756 -64408
exp_1 -1612 -19280 -65748 -64428
exp_2 -1620 -19276 -65740 -64464
exp_2 -1632 -19272 -65728 -64452
exp_2 -1636 -19268 -65732 -64464
exp_2 -1644 -19260 -65728 -64476
exp_2 -1652 -19268 -65736 -64476
exp_2 -1652 -19292 -65728 -64484
exp_2 -1660 -19268 -65740 -64480
exp_2 -1648 -19276 -65736 -64492
exp_3 -1664 -19276 -65736 -64504
exp_3 -1672 -19260 -65752 -64496
exp_3 -1668 -19276 -65728 -64496
exp_3 -1684 -19272 -65732 -64476
exp_3 -1676 -19260 -65728 -64476
exp_3 -1672 -19264 -65716 -64492
exp_3 -1680 -19268 -65732 -64480
exp_3 -1668 -19276 -65728 -64496
exp_3 -1684 -19272 -65732 -64476
我想根据相应的“实验编号”生成一列显示每组我的值的最大值的百分比。
诸如此类：
Experiment Ch1 %.Ch1 Ch2 %.Ch2 Ch3 %.Ch3 Ch4 %.Ch4
exp_1 -1548 100.00 -19296 99.92 -65764 99.97 -64392 99.99
exp_1 -1572 98.47 -19304 99.88 -65756 99.98 -64392 99.99
exp_1 -1588 97.48 -19284 99.98 -65748 99.99 -64400 99.98
exp_1 -1580 97.97 -19292 99.94 -65760 99.98 -64392 99.99
exp_1 -1584 97.73 -19292 99.94 -65744 100.00 -64388 100.00
exp_1 -1580 97.97 -19292 99.94 -65756 99.98 -64408 99.97
exp_1 -1612 96.03 -19280 100.00 -65748 99.99 -64428 99.94
exp_2 -1620 100.00 -19276 99.92 -65740 99.98 -64464 99.98
exp_2 -1632 99.26 -19272 99.94 -65728 100.00 -64452 100.00
exp_2 -1636 99.02 -19268 99.96 -65732 99.99 -64464 99.98
exp_2 -1644 98.54 -19260 100.00 -65728 100.00 -64476 99.96
exp_2 -1652 98.06 -19268 99.96 -65736 99.99 -64476 99.96
exp_2 -1652 98.06 -19292 99.83 -65728 100.00 -64484 99.95
exp_2 -1660 97.59 -19268 99.96 -65740 99.98 -64480 99.96
exp_2 -1648 98.30 -19276 99.92 -65736 99.99 -64492 99.94
exp_3 -1664 100.00 -19276 99.92 -65736 99.97 -64504 99.96
exp_3 -1672 99.52 -19260 100.00 -65752 99.95 -64496 99.97
exp_3 -1668 99.76 -19276 99.92 -65728 99.98 -64496 99.97
exp_3 -1684 98.81 -19272 99.94 -65732 99.98 -64476 100.00
exp_3 -1676 99.28 -19260 100.00 -65728 99.98 -64476 100.00
exp_3 -1672 99.52 -19264 99.98 -65716 100.00 -64492 99.98
exp_3 -1680 99.05 -19268 99.96 -65732 99.98 -64480 99.99
exp_3 -1668 99.76 -19276 99.92 -65728 99.98 -64496 99.97
exp_3 -1684 98.81 -19272 99.94 -65732 99.98 -64476 100.00
我知道该解决方案很可能可以通过Base R或dplyr的group_by函数来完成，但我仍然坚持如何一次处理多列。任何帮助，将不胜感激！
类似这样的东西：