Solution: I figured this out on my own (below).
> gnames<-read.csv("/home/victoria/R/gnames.csv",header=FALSE,sep=",")
> gnames
V1 V2 V3 V4 V5 V6 V7
1 NM_005588 NM_004407 NM_006136 NM_004817 NM_006012 NM_001008693 NM_181435
[snip]
V497 V498 V499 V500
1 NM_152546 XM_375762 NM_020696 NM_138459
# Saved 500 genes (values only): 3 replicates of (8 time points for
treatment 1) + 3 replicates of (8 time points for treatment 2) = 500 x 48
.csv file
> X<-matrix(scan("/home/victoria/R/X.csv",n=500*48),500,48,byrow=TRUE)
Read 24000 items
> dim(X)
[1] 500 48
> dim(X)<-c(500,3,8,2)
# Looks good: Checked all, below, against 'source' file "X.ods" : OK!
, , 1, 1 # = Time Point 1 replicates (columns) for Treatment 1
[,1] [,2] [,3]
[1,] -3.2093000000 -2.1463000000 0.347800000
[2,] 0.1689000000 -0.0945000000 -0.383400000
[3,] -0.0487000000 -0.8695000000 -1.990200000
[snip]
, , 2, 1 # = Time Point 2 replicates (columns) for Treatment 1
[,1] [,2] [,3]
[1,] -2.8531 -3.2044000000 -1.3212
[2,] 0.5820 0.1358000000 0.4183
[3,] 1.0075 0.3211000000 -1.7940
[snip]
, , 8, 1 # = Time Point 8 replicates (columns) for Treatment 1
[,1] [,2] [,3]
[1,] -2.3661000000 -1.8353000000 0.0682
[2,] 0.6607000000 0.0726000000 -0.1255
[3,] -0.4960000000 -1.8894000000 -0.9466
[snip]
, , 1, 2 # = Time Point 1 replicates (columns) for Treatment 2
[,1] [,2] [,3]
[1,] -2.0151000000 -1.4385 -0.9281
[2,] -0.0482000000 0.2382 -0.1319
[3,] -1.3375000000 -1.4805 -1.4416
[snip]
, , 2, 2 # = Time Point 2 replicates (columns) for Treatment 2
[,1] [,2] [,3]
[1,] -2.3212 -1.3964 -1.1155000000
[2,] 0.0264 0.2057 0.1566000000
[3,] -0.3569 -0.9750 -0.8666000000
[snip]
, , 7, 2 # = Time Point 7 replicates (columns) for Treatment 2
[,1] [,2] [,3]
[1,] -1.2615000000 -2.1288000000 -1.8844
[2,] 0.1048000000 -0.2306000000 -0.0634
[3,] -1.4571000000 0.7725000000 -1.0384
[snip]
, , 8, 2 # = Time Point 8 replicates (columns) for Treatment 2
[,1] [,2] [,3]
[1,] -0.0819 -1.8137000000 -1.4085
[2,] -0.1336 0.2744000000 1.2913
[3,] -1.1404 -0.7546000000 -1.2400
[snip]
Thanks anyway - Victoria :-)
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