First, I appoligise for the rooky question, but... I'm trying to obtain standard errors, confidence intervals, etc. from a sample design and have been trouble getting the results for anything other than the basic total or mean for the overall survey from the survey package.
For example, using the following dataset, strata,cluster,vol A,1,18.58556192 A,1,12.55175443 A,1,21.65882438 A,1,17.11172946 A,1,15.41713348 A,2,13.9344623 A,2,17.13104821 A,2,14.6806479 A,2,14.68357291 A,2,18.86017714 A,2,20.67642515 A,2,15.15295351 A,2,13.82121102 A,2,12.9110477 A,2,14.83153677 A,2,21.90772687 A,3,18.69795427 A,3,18.45636428 A,3,15.77175793 A,3,15.54715217 A,3,20.31948393 A,3,19.26391445 A,3,15.54750775 A,3,19.18724018 A,4,12.89572151 A,4,12.92047701 A,4,12.64958757 A,4,19.85888418 A,4,19.64057669 A,4,19.19188964 A,4,18.81619298 A,4,21.73670878 A,5,15.99430802 A,5,18.66666517 A,5,21.80441654 A,5,14.22081904 A,5,16.01576433 A,5,14.92497202 A,5,17.95123218 A,5,19.82027165 A,5,19.35698273 A,5,19.10826519 B,6,13.40892677 B,6,14.3956207 B,6,13.82113391 B,6,16.37338569 B,6,19.70159575 B,7,14.74334178 B,7,16.55125245 B,7,12.38329798 B,7,18.16472408 B,7,16.32938475 B,7,16.06465494 B,7,12.63086062 B,7,14.46114813 B,7,21.90134013 B,7,13.81025827 B,7,15.85805494 B,7,20.18195326 B,8,19.05120792 B,8,12.83856639 B,8,12.61360139 B,8,21.30434314 B,8,14.19960469 B,8,17.38397826 B,8,15.66477339 B,8,22.07182834 B,8,12.07487394 B,8,20.36357359 B,8,20.2543677 B,9,14.44499362 B,9,17.77235228 B,9,13.01620902 B,9,18.10976359 B,10,18.22350661 B,10,18.41504728 B,10,17.94735486 B,10,18.39173938 B,10,14.21729704 B,10,16.95753684 B,10,21.11643087 B,10,16.09688752 B,10,19.54707452 B,10,22.00450065 B,10,15.15308873 B,10,14.72488972 B,10,17.65280737 B,10,14.61615255 B,10,12.89525607 B,11,22.35831089 B,11,18.0853187 B,11,22.12815791 B,11,17.74562214 B,11,21.45724242 B,11,20.57933779 B,11,19.97397415 B,11,16.34967424 B,12,22.14385376 B,12,17.82816113 B,12,18.37056381 B,12,16.13152759 B,12,22.06764318 B,12,12.80924472 B,12,18.95522175 B,13,20.40554286 B,13,19.72951878 C,14,15.51581 C,14,15.4836358 C,14,13.35882363 C,14,13.16072916 C,14,21.69168971 C,14,19.09686303 C,14,14.47450457 C,14,12.04870424 C,14,13.33096141 C,14,17.38388981 C,14,16.29015289 C,14,16.32707754 C,14,16.2784054 C,15,15.0170597 C,15,14.95767365 C,15,15.20739614 C,15,22.10458509 C,15,12.3362457 C,15,19.87895753 C,15,18.8363682 C,15,16.43738666 C,15,12.84570744 C,15,15.99869357 C,15,14.42551321 C,15,13.63489872 C,15,15.67179885 C,16,14.61700901 C,16,14.64864676 C,16,14.13014582 C,16,21.7637441 C,16,20.66825543 C,16,17.05977818 C,16,17.80118916 C,16,15.16641698 where this is read into stand.data. When I use the following survey designs, srv1 <- svydesign(ids=~1, strata=~strata, data=stand.data ) or, srv1 <- svydesign(ids=~cluster, strata=~strata, data=stand.data ) with, print( svytotal( ~vol, srv1 ) ) I only obtain the total, > print( svytotal( ~vol, srv1 ) ) total SE vol 2377 34.464 or worse, print( svytotal( ~vol + strata, srv1 ) ) total SE vol 2377.0 34.464 strataA 42.0 0.000 strataB 64.0 0.000 strataC 34.0 0.000 which reports the number of observations in each of the strata. I'm sure this is a RTFM question, but I just need a start. The size of each "plot" is 0.04 units (hectares) and I want to be able to quickly examine working up each sample with and without clusters (this is going to be part of a larger simulation study). I'm trying to not use SAS for this and hate to admit defeat. Thanks, Jeff. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html