– How to apply the function `join` (dplyr) in a list?

I have tried in many ways to apply the functions join of package dplyr in a list but I can not do this. With the function reduce Y merge This is easy to do, but, my intention is to do this with join because this is a faster function.

dput (list) for help in the answer:

mylist = structure (list (period1 = structure (list (sell =
and (954.82455776073,
510.810676729307, 744.75243431516, 740.655287634581, 993.685934110545,
866.834087180905, 523.575691389851, 764.874521177262,
817.054593935609,
518.385569332168, 531.494156224653, 843.328540329821,
795,584754319862,
938.056216109544, 710.636245436035, 997.307573445141,
869,842965039425,
771.45393146202, 823.295841924846, 601.494735921733), place =
structure (C (1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L), .Label = c ("a", "b"), class = "factor")), .Names =
c ("sell"
"place"), row.names = c (NA, -20L), class = "data.frame"), period10 =
structure (list (
sell = c (733.160433010198, 965.176168596372, 773.615662241355,
871.220104396343, 850.882120081224, 548.022049595602,
621.362034813501,
814.990229788236, 549.271885422058, 695.817611529492,
881.452074856497,
993.035112507641, 771.279759705067, 992.838160018437,
774.461645982228,
517.854797886685, 637.189441244118, 623.788836062886,
780,715740052983,
712.462180759758), place = structure (c (1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L
), .Label = c ("a", "b"), class = "factor")), .Names = c ("sell", "
"place"), row.names = c (NA, -20L), class = "data.frame"), period11 =
structure (list (
sell = c (533.743410953321, 773.384398664348, 872.096808976494,
842.97708561644, 666.135999024846, 693.793271319009, 863.513759453781,
539.360933355056, 997.354788240045, 752.822959562764,
671.030344441533,
731.102725607343, 580.205574864522, 667.002705973573,
630,402681184933,
899.911671527661, 872.772023198195, 543.33548923023, 682.689820649102,
778.205765294842), place = structure (c (1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L
), .Label = c ("a", "b"), class = "factor")), .Names = c ("sell", "
"place"), row.names = c (NA, -20L), class = "data.frame"), period12 =
structure (list (
sell = c (947.833278682083, 588.600017828867, 992.308593471535,
763.031872571446, 809.284279122949, 798.120932886377,
645.494438474998,
773.96222949028, 880.193093093112, 681.19038187433, 962.226237053983,
865.827421075664, 837.468956946395, 975.754468236119,
643,590759718791,
701.593282399699, 717.885117628612, 986.66607378982, 866.434537689202,
718.550421763211), place = structure (c (1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L
), .Label = c ("a", "b"), class = "factor")), .Names = c ("sell", "
"place"), row.names = c (NA, -20L), class = "data.frame")), .Names =
c ("PERIOD1"
"period10", "period11", "period12"))

to consider by = & # 39; & # 39; rownames in the function.