我想根据标头中的T和C拆分数据框。我想将C放在T下面，然后添加一个列，指定此行是属于T还是C。请参阅下面的示例。
> head(Merged_Columns)
SYMBOL T0h T0.25h T0.5h T1h T2h T3h T6h T12h T24h T48h C0h C0.25h
536 Mki67 51.8604 50.6255 48.0860 49.5517 40.273 39.5324 55.7545 54.3527 44.5083 42.9394 50.0313 50.1149
1210 Calr 245.4650 261.7930 258.8250 273.9030 357.174 436.1670 630.2560 667.4980 599.0280 539.8510 255.5500 300.9920
1512 Cd180 110.8700 128.8450 138.1540 149.1230 186.518 185.0130 163.5700 119.1490 124.0210 92.2006 118.5150 143.2500
1523 Mcl1 206.7630 228.0150 240.7600 248.2550 167.791 111.5800 68.5703 76.1921 90.7829 102.3770 196.3040 198.2640
1753 Scd1 79.5991 87.3635 84.2132 93.7678 136.711 138.4380 77.9293 49.1002 58.5614 71.3752 80.0855 87.3873
1754 Scd2 83.4522 86.2435 81.8103 80.8914 126.018 146.6090 176.7760 123.4130 243.7200 291.1610 80.3333 96.0904
C0.5h C1h C2h C3h C6h C12h C24h C48h
536 47.0657 45.9766 45.4482 44.7699 68.5744 66.6451 59.2015 59.6688
1210 259.5850 297.2010 375.9320 470.6640 606.1660 583.2740 568.1570 363.0990
1512 148.5380 182.7170 218.5140 202.3130 204.4120 194.4180 241.9570 141.9830
1523 211.4390 200.1030 138.0060 108.3210 97.3858 119.8560 119.1730 99.3792
1753 83.9854 97.6568 138.0320 139.2210 105.2110 93.9231 108.5130 147.4040
1754 79.3060 95.2863 124.3770 136.9830 165.4720 91.6879 196.9550 279.3140
输出：
> head(Merged_Columns)
Cond SYMBOL 0h 0.25h 0.5h 1h 2h 3h 6h 12h 24h 48h
T Mki67 51.8604 50.6255 48.0860 49.5517 40.273 39.5324 55.7545 54.3527 44.5083 42.9394
T Calr 245.4650 261.7930 258.8250 273.9030 357.174 436.1670 630.2560 667.4980 599.0280 539.8510
T Cd180 110.8700 128.8450 138.1540 149.1230 186.518 185.0130 163.5700 119.1490 124.0210 92.2006
T Mcl1 206.7630 228.0150 240.7600 248.2550 167.791 111.5800 68.5703 76.1921 90.7829 102.3770
T Scd1 79.5991 87.3635 84.2132 93.7678 136.711 138.4380 77.9293 49.1002 58.5614 71.3752
T Scd2 83.4522 86.2435 81.8103 80.8914 126.018 146.6090 176.7760 123.4130 243.7200 291.1610
C Mki67 50.0313 50.1149 47.0657 45.9766 45.4482 44.7699 68.5744 66.6451 59.2015 59.6688
C Calr 255.5500 300.9920 259.5850 297.2010 375.9320 470.6640 606.1660 583.2740 568.1570 363.0990
C Cd180 118.5150 143.2500 148.5380 182.7170 218.5140 202.3130 204.4120 194.4180 241.9570 141.9830
C Mcl1 196.3040 198.2640 211.4390 200.1030 138.0060 108.3210 97.3858 119.8560 119.1730 99.3792
C Scd1 80.0855 87.3873 83.9854 97.6568 138.0320 139.2210 105.2110 93.9231 108.5130 147.4040
C Scd2 80.3333 96.0904 79.3060 95.2863 124.3770 136.9830 165.4720 91.6879 196.9550 279.3140
答案 0 :(得分：3)
以下是评论中建议的可能解决方案
id <- gsub("(.).*", "\\1", names(df)) # Getting all the first letters from the column names
id1 <- id == "T" # Getting columns that start with "T"
id2 <- id == "C" # Getting columns that start with "C"
n1 <- names(df[id1])
n2 <- names(df[id2])
cbind(Cond = rep(unique(gsub("(.).*", "\\1", c(n1, n2))), each = nrow(df)),
df[1],
rbind(setNames(df[id1], gsub("[A-Z]", "", n1)),
setNames(df[id2], gsub("[A-Z]", "", n2))))
# Cond SYMBOL 0h 0.25h 0.5h 1h 2h 3h 6h 12h 24h 48h
# 1 T Mki67 51.8604 50.6255 48.0860 49.5517 40.2730 39.5324 55.7545 54.3527 44.5083 42.9394
# 2 T Calr 245.4650 261.7930 258.8250 273.9030 357.1740 436.1670 630.2560 667.4980 599.0280 539.8510
# 3 T Cd180 110.8700 128.8450 138.1540 149.1230 186.5180 185.0130 163.5700 119.1490 124.0210 92.2006
# 4 T Mcl1 206.7630 228.0150 240.7600 248.2550 167.7910 111.5800 68.5703 76.1921 90.7829 102.3770
# 5 T Scd1 79.5991 87.3635 84.2132 93.7678 136.7110 138.4380 77.9293 49.1002 58.5614 71.3752
# 6 T Scd2 83.4522 86.2435 81.8103 80.8914 126.0180 146.6090 176.7760 123.4130 243.7200 291.1610
# 7 C Mki67 50.0313 50.1149 47.0657 45.9766 45.4482 44.7699 68.5744 66.6451 59.2015 59.6688
# 8 C Calr 255.5500 300.9920 259.5850 297.2010 375.9320 470.6640 606.1660 583.2740 568.1570 363.0990
# 9 C Cd180 118.5150 143.2500 148.5380 182.7170 218.5140 202.3130 204.4120 194.4180 241.9570 141.9830
# 10 C Mcl1 196.3040 198.2640 211.4390 200.1030 138.0060 108.3210 97.3858 119.8560 119.1730 99.3792
# 11 C Scd1 80.0855 87.3873 83.9854 97.6568 138.0320 139.2210 105.2110 93.9231 108.5130 147.4040
# 12 C Scd2 80.3333 96.0904 79.3060 95.2863 124.3770 136.9830 165.4720 91.6879 196.9550 279.3140
答案 1 :(得分：1)
也许不是最优雅的解决方案，但以下应该这样做。
cdat<-dat[ , grep("C", names(dat))]
tdat<-dat[ , grep("T", names(dat))]
colnames(cdat)<-c("0h", "0.25h", "0.5h", "1h", "2h", "3h", "6h", "12h", "24h", "48h")
colnames(tdat)<-c("0h", "0.25h", "0.5h", "1h", "2h", "3h", "6h", "12h", "24h", "48h")
df<-rbind(cdat, tdat)
df$SYMBOL<-rep(dat$SYMBOL, 2)
df$Cond<-rep(c("T", "C"), each=6)