Is there a functional form of the assignment operator? I would like to be able to call assignment with lapply, and if that's a bad idea I'm curious anyways.
Edit:
This is a toy example, and obviously there are better ways to go about doing this:
Let's say I have a list of data.frames, dat, each corresponding to a one run of an experiment. I would like to be able to add a new column, "subject", and give it a sham-name. The way I was thinking of it was something like
lapply(1:3, function(x) assign(data.frame = dat[[x]], column="subject", value=x)
The output could either be a list of modified data frames, or the modification could be purely a side effect.
dput of list starting list
list(structure(list(V1 = c(-1.16664504687199, -0.429499924318301, 2.15470735901367, -0.287839633854442, -0.850578353982526, 0.211636723222015, -0.184714165752958, -0.773553182015158, 0.801811848828454, 1.39420292299319 ), V2 = c(-0.00828185523886259, -0.0215669898046275, 0.743065397283645, -0.0268464140141802, 0.168027242784788, -0.602901928341917, 0.0740511186398372, 0.180307494696194, 0.131160421341309, -0.924995634374182)), .Names = c("V1", "V2"), row.names = c(NA, -10L), class = "data.frame"), structure(list( V1 = c(1.81912921386885, 1.17011641727415, 0.692247839769473, 0.0323050362633069, 1.35816977313292, -0.437475434344363, -0.270255715332778, 0.96140963297774, 0.914691132220417, -1.8014509598977), V2 = c(1.45082316226241, 2.05135744606495, -0.787250759618171, 0.288104852581324, -0.376868533959846, 0.531872044490353, -0.750375220117567, -0.459592764008714, 0.991667163481123, 1.31280356980115)), .Names = c("V1", "V2" ), row.names = c(NA, -10L), class = "data.frame"), structure(list( V1 = c(0.528912899341174, 0.464615157920766, -0.184211714281637, 0.526909095449027, -0.371529800682086, -0.483772861751781, -2.02134822661341, -1.30841566046747, -0.738493559993166, -0.221463545903242), V2 = c(-1.44732101816006, -0.161730785376045, 1.06294520132753, 1.22680614207705, -0.721565979363022, -0.438309438404104, -0.0243401435910825, 0.624227513999603, 0.276605218579759, -0.965640602482051)), .Names = c("V1", "V2"), row.names = c(NA, -10L), class = "data.frame"))