r - Average Value in other cells for Unique Groups -

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i have following sample dataset. first 3 columns identify specific group. 

dat <- read.table(header=true, text="                  id  lfrom lto it1 it2 it3 it4                   1120    1   2   47  152 259 140                   2000    1.1   2.1   88  236 251 145                   2000    1.2   2.1  72  263 331 147                   1120    1   2   71  207 290 242                   1120    1   2   47  152 259 140                   2001    1.2   2.1  72  263 331 147                   2001    1.1   2   71  207 290 242                   1120    1   2   47  152 259 140                   2000    1.1   2.1   88  236 251 145                   1120    1   2  72  263 331 147                   2000    1.1   2.1   71  207 290 242                   ")  dat      id lfrom lto it1 it2 it3 it4 1  1120   1.0 2.0  47 152 259 140 2  2000   1.1 2.1  88 236 251 145 3  2000   1.2 2.1  72 263 331 147 4  1120   1.0 2.0  71 207 290 242 5  1120   1.0 2.0  47 152 259 140 6  2001   1.2 2.1  72 263 331 147 7  2001   1.1 2.0  71 207 290 242 8  1120   1.0 2.0  47 152 259 140 9  2000   1.1 2.1  88 236 251 145 10 1120   1.0 2.0  72 263 331 147 11 2000   1.1 2.1  71 207 290 242

by using duplicated function can find out unique groups.

dat[!duplicated(dat[,1:3]),]     id lfrom lto it1 it2 it3 it4 1 1120   1.0 2.0  47 152 259 140 2 2000   1.1 2.1  88 236 251 145 3 2000   1.2 2.1  72 263 331 147 6 2001   1.2 2.1  72 263 331 147 7 2001   1.1 2.0  71 207 290 242

the frequency of unique groups.

aggregate(data = transform(dat[1:3], freq = seq_len(nrow(dat[1:3]))), freq ~ ., length)     id lfrom lto freq 1 1120   1.0 2.0    5 2 2001   1.1 2.0    1 3 2000   1.1 2.1    3 4 2000   1.2 2.1    1 5 2001   1.2 2.1    1

i need results following (average value of last 4 columns common first 3 columns) using plyr ordplyr packages. appreciated. 

    id lfrom lto  it1   it2   it3   it4 1 1120   1.0 2.0 67.5 213.1 285.2 163.5 2 2000   1.1 2.1 69.9 218.6 288.3 173.7 3 2000   1.2 2.1 72.0 263.0 331.0 147.0 4 2001   1.2 2.1 72.0 263.0 331.0 147.0 5 2001   1.1 2.0 71.0 207.0 290.0 242.0

using data.table:

library(data.table) setdt(dat)[, lapply(.sd, mean), by=.(id, lfrom, lto)]

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