need any advises for code optimization.

Dear Rich,

Thank you for reply. I think, optimization, you offered will satisfy
my needs.
I don't completely understand the following.

RF> ## And wrap the original in a function for comparison:
RF>   ## This does not subset the way you want:
RF>   ##  whole[-which(row.names(to.drop) %in% row.names(whole)),]
RF>   whole[-as.integer(row.names(to.drop)),]

Why doesn't my subset work properly?

My data frame 'whole' was created from 3 another data frames by rbind,
if it makes sense...

Moreover, your variant gives the error:

as.integer(row.names(to.drop)[120:220])

  [1]   2761   3616   3629   5808   7204   7627   8192  10851  20275 273611   4492 256691   8797
 [14]  11756  46673 246981 250401 335591    773    774    786    993    995   1454   2715   6990
 [27]   7951   7962   8185   8662   9406 442100 478100 528100 208710 211710 215910  19846  28660
 [40]  28661  28691  28806  28878 450611 497411  81672  91572 119232 166191 166281 203981 204201
 [53] 255171 255212 255301 300651 331212 371761 397651 405241 415331   8779 195510 197910 203210
 [66] 205410 205510 211810 220610  19615  27165  28581  28640  28641  28642  28662  28714  48692
 [79] 449611 449911 497211  81702 195451 202491 202551 253931 255071 259102 266971 303341 331831
 [92] 353912 371931 374612 394461 397641 412671   9227 464100   1558   2161

whole[-as.integer(row.names(to.drop)[120:220]),]

Error in "[.data.frame"(whole, -as.integer(row.names(to.drop)[120:220]),  :
        subscript out of bounds

Row names don't coincide with row order numbers in my case.

--
Best regards
Wladimir Eremeev                                     mailto:wl at eimb.ru