R 如何在数据框中添加尽可能多的行

我有一个这样的数据框

df<- structure(list(s = structure(1:5, .Label = c("aa", "bb", "cc", 
"dd", "ee"), class = "factor"), x = c("-0.236105995167248,-1.18643591933632,1.58980931618443,-0.331783574898037,-0.651731871006788,0.407805765584701", 
"-0.127273667956423,1.18952542054957,-1.58950574965751,-0.304711433481107,1.40400458577633,1.14109106786785", 
"-0.843636178194365,1.96020358181084,0.250099677119141,-0.168523273691266,-1.20578057039011,-1.21812075553223", 
"1.38888748045579,-0.366027289095327,-0.0943004596886008,0.264566505263093,-0.315415210135534,-0.0654472787707433", 
"1.98055470864296,-0.120256948050693,0.863815283624947,0.302448953974203,-0.0108923675427342,0.268615537295431"
)), class = "data.frame", row.names = c(NA, -5L))

drout<- structure(list(s = structure(1:5, .Label = c("aa", "bb", "cc", 
"dd", "ee"), class = "factor"), mynew = structure(c(1L, 1L, 1L, 
1L, 1L), .Label = "5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150", class = "factor"), 
    x = structure(c(2L, 1L, 3L, 4L, 5L), .Label = c("-0.127273667956423,1.18952542054957,-1.58950574965751,-0.304711433481107,1.40400458577633,1.14109106786785", 
    "-0.236105995167248,-1.18643591933632,1.58980931618443,-0.331783574898037,-0.651731871006788,0.407805765584701", 
    "-0.843636178194365,1.96020358181084,0.250099677119141,-0.168523273691266,-1.20578057039011,-1.21812075553223", 
    "1.38888748045579,-0.366027289095327,-0.0943004596886008,0.264566505263093,-0.315415210135534,-0.0654472787707433", 
    "1.98055470864296,-0.120256948050693,0.863815283624947,0.302448953974203,-0.0108923675427342,0.268615537295431"
    ), class = "factor")), class = "data.frame", row.names = c(NA, 
-5L))

---

df我们可以使用
cbind
对列进行重新排序

out <- cbind(df, df2)[c("s", "mynew", "x")]
out
#   s                                                         mynew                                                                                                                x
#1 aa 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150    -0.236105995167248,-1.18643591933632,1.58980931618443,-0.331783574898037,-0.651731871006788,0.407805765584701
#2 bb 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150       -0.127273667956423,1.18952542054957,-1.58950574965751,-0.304711433481107,1.40400458577633,1.14109106786785
#3 cc 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150     -0.843636178194365,1.96020358181084,0.250099677119141,-0.168523273691266,-1.20578057039011,-1.21812075553223
#4 dd 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150 1.38888748045579,-0.366027289095327,-0.0943004596886008,0.264566505263093,-0.315415210135534,-0.0654472787707433
#5 ee 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150    1.98055470864296,-0.120256948050693,0.863815283624947,0.302448953974203,-0.0108923675427342,0.268615537295431

out
out <- cbind(df, df2)[c("s", "mynew", "x")]
out
#   s                                                         mynew                                                                                                                x
#1 aa 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150    -0.236105995167248,-1.18643591933632,1.58980931618443,-0.331783574898037,-0.651731871006788,0.407805765584701
#2 bb 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150       -0.127273667956423,1.18952542054957,-1.58950574965751,-0.304711433481107,1.40400458577633,1.14109106786785
#3 cc 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150     -0.843636178194365,1.96020358181084,0.250099677119141,-0.168523273691266,-1.20578057039011,-1.21812075553223
#4 dd 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150 1.38888748045579,-0.366027289095327,-0.0943004596886008,0.264566505263093,-0.315415210135534,-0.0654472787707433
#5 ee 5.470864296,7.120256948050693,1.947,0.302448953974203,-25,150    1.98055470864296,-0.120256948050693,0.863815283624947,0.302448953974203,-0.0108923675427342,0.268615537295431