I have two dataframes, yendog and datasub as below and I want to do the same thing to both of them, namely convert them so that they retain their dataframeness but stack the columns into 1 column. I don't need names on the results.
I did try temp1<-do.call("rbind",datasub) temp2<-do.call("rbind",yendog) and also temp1<-do.call("rbind",lapply(datasub,function(x) { t(x) })) temp2<-do.call("rbind",lapply(yendog, function(x) { t(x) })) but neither of them did the trick. I'm probably making it more complicated than it needs to be. Thanks for any sugggestions. datasub AAA.l1 BBB.l1 CCC.l1 DDD.l1 EEE.l1 FFF.l1 2 -1.937171e-04 1.391873e-03 1.713845e-04 2.595525e-04 2.635428e-05 2.047188e-04 3 3.228410e-04 6.047229e-05 1.713551e-04 7.414547e-05 -4.744833e-04 -3.070939e-04 4 0.000000e+00 1.209336e-04 -1.142335e-04 -7.414547e-05 -1.318409e-04 0.000000e+00 5 -1.291239e-04 -4.838222e-04 -6.856751e-04 -2.966369e-04 -7.650202e-04 2.047397e-04 6 -1.937171e-04 -1.814937e-04 0.000000e+00 0.000000e+00 -5.278159e-05 2.046978e-04 7 0.000000e+00 -6.050522e-05 2.286106e-04 5.190568e-04 4.749340e-04 5.115613e-04 8 1.291489e-04 3.629764e-04 4.570645e-04 1.482525e-04 1.582612e-04 2.045513e-04 9 -3.229036e-04 -1.814717e-04 -7.428360e-04 -5.931418e-04 -7.123729e-04 -2.045513e-04 10 8.393325e-04 7.256894e-04 1.714727e-04 3.708167e-05 7.917761e-05 -2.557479e-04 11 6.451613e-04 0.000000e+00 1.142988e-04 2.224612e-04 -2.639497e-04 -4.093328e-04 12 1.934673e-04 0.000000e+00 -1.142988e-04 -3.707342e-05 -5.279831e-05 5.117576e-05 13 -1.096810e-03 3.022152e-04 0.000000e+00 -1.483074e-04 -2.376269e-04 1.023437e-04 14 7.098377e-04 -1.208751e-04 6.855968e-04 3.707274e-04 2.640578e-05 7.672438e-04 16 3.224454e-04 1.087613e-03 -5.712490e-05 2.223870e-04 3.695101e-04 3.066858e-04 17 9.022945e-04 2.171685e-03 6.281945e-04 6.668643e-04 5.803831e-04 4.087681e-04 18 -6.442261e-05 -7.233709e-04 1.712573e-04 -7.407407e-05 1.054880e-04 -1.021764e-04 19 -1.224819e-03 -1.206782e-03 -1.142270e-03 -8.151772e-04 -7.911497e-05 0.000000e+00 20 3.869470e-04 -1.811430e-04 -5.144474e-04 -7.416472e-04 1.318548e-04 -5.621567e-04 21 -1.934548e-04 1.811430e-04 2.858368e-04 1.483735e-04 -7.911079e-05 5.110646e-04 22 -1.934922e-04 6.035732e-04 5.715755e-05 -1.112780e-04 5.274123e-05 -3.066074e-04 23 -7.097919e-04 0.000000e+00 1.714531e-04 1.854565e-04 -1.054852e-04 0.000000e+00 24 -7.748935e-04 1.206709e-04 1.142857e-04 3.708717e-05 1.845919e-04 0.000000e+00 25 -5.815644e-04 -4.827711e-04 -4.000572e-04 -1.112656e-04 -1.054769e-04 1.022129e-04 26 -5.172302e-04 1.207146e-04 -4.574042e-04 -4.080800e-04 1.318444e-04 -3.577909e-04 27 2.586486e-04 -6.641109e-04 -4.004004e-04 -5.196155e-04 -5.273566e-05 5.112082e-05 28 1.292992e-04 1.207802e-04 0.000000e+00 1.856080e-04 -1.582237e-04 5.111821e-05 29 1.292825e-04 0.000000e+00 -5.721315e-05 1.113482e-04 1.582237e-04 -3.578824e-04 30 2.585148e-04 -3.623845e-04 1.716296e-04 3.710713e-04 -2.636887e-05 5.113389e-05 yendog AAA BBB CCC DDD EEE FFF 2 3.228410e-04 6.047229e-05 1.713551e-04 7.414547e-05 -4.744833e-04 -3.070939e-04 3 0.000000e+00 1.209336e-04 -1.142335e-04 -7.414547e-05 -1.318409e-04 0.000000e+00 4 -1.291239e-04 -4.838222e-04 -6.856751e-04 -2.966369e-04 -7.650202e-04 2.047397e-04 5 -1.937171e-04 -1.814937e-04 0.000000e+00 0.000000e+00 -5.278159e-05 2.046978e-04 6 0.000000e+00 -6.050522e-05 2.286106e-04 5.190568e-04 4.749340e-04 5.115613e-04 7 1.291489e-04 3.629764e-04 4.570645e-04 1.482525e-04 1.582612e-04 2.045513e-04 8 -3.229036e-04 -1.814717e-04 -7.428360e-04 -5.931418e-04 -7.123729e-04 -2.045513e-04 9 8.393325e-04 7.256894e-04 1.714727e-04 3.708167e-05 7.917761e-05 -2.557479e-04 10 6.451613e-04 0.000000e+00 1.142988e-04 2.224612e-04 -2.639497e-04 -4.093328e-04 11 1.934673e-04 0.000000e+00 -1.142988e-04 -3.707342e-05 -5.279831e-05 5.117576e-05 12 -1.096810e-03 3.022152e-04 0.000000e+00 -1.483074e-04 -2.376269e-04 1.023437e-04 13 7.098377e-04 -1.208751e-04 6.855968e-04 3.707274e-04 2.640578e-05 7.672438e-04 14 1.290073e-04 -2.417941e-04 -1.713551e-04 -7.413448e-05 2.640194e-04 1.533782e-04 16 9.022945e-04 2.171685e-03 6.281945e-04 6.668643e-04 5.803831e-04 4.087681e-04 17 -6.442261e-05 -7.233709e-04 1.712573e-04 -7.407407e-05 1.054880e-04 -1.021764e-04 18 -1.224819e-03 -1.206782e-03 -1.142270e-03 -8.151772e-04 -7.911497e-05 0.000000e+00 19 3.869470e-04 -1.811430e-04 -5.144474e-04 -7.416472e-04 1.318548e-04 -5.621567e-04 20 -1.934548e-04 1.811430e-04 2.858368e-04 1.483735e-04 -7.911079e-05 5.110646e-04 21 -1.934922e-04 6.035732e-04 5.715755e-05 -1.112780e-04 5.274123e-05 -3.066074e-04 22 -7.097919e-04 0.000000e+00 1.714531e-04 1.854565e-04 -1.054852e-04 0.000000e+00 23 -7.748935e-04 1.206709e-04 1.142857e-04 3.708717e-05 1.845919e-04 0.000000e+00 24 -5.815644e-04 -4.827711e-04 -4.000572e-04 -1.112656e-04 -1.054769e-04 1.022129e-04 25 -5.172302e-04 1.207146e-04 -4.574042e-04 -4.080800e-04 1.318444e-04 -3.577909e-04 26 2.586486e-04 -6.641109e-04 -4.004004e-04 -5.196155e-04 -5.273566e-05 5.112082e-05 27 1.292992e-04 1.207802e-04 0.000000e+00 1.856080e-04 -1.582237e-04 5.111821e-05 28 1.292825e-04 0.000000e+00 -5.721315e-05 1.113482e-04 1.582237e-04 -3.578824e-04 29 2.585148e-04 -3.623845e-04 1.716296e-04 3.710713e-04 -2.636887e-05 5.113389e-05 30 6.461827e-05 3.623845e-04 -5.720660e-05 -7.420324e-05 1.054713e-04 -2.045513e-04 -------------------------------------------------------- This is not an offer (or solicitation of an offer) to buy/se...{{dropped}} ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.