sqlsurvey: analysis of very large complex survey samples (experimental)

Survey analysis with all data and most operations in MonetDB, which allows for very large surveys such as the American Community Survey to be analysed on typical computers. Currently implements means, totals, quantiles,linear models, loglinear models, hexagonally binned scatterplots, thinned scatterplots, local polynomial smoothers, with replicate-weight or linearisation standard errors.

AuthorThomas Lumley
Date of publication2014-04-22 23:46:15
MaintainerThomas Lumley <tlumley@u.washington.edu>

View on R-Forge


close.sqlrepsurvey Man page
close.sqlsurvey Man page
dim.sqlsurvey Man page
head.sqlmm Man page
open.sqlmodelmatrix Man page
open.sqlrepsurvey Man page
open.sqlsurvey Man page
sqlhexbin Man page
sqlmodelmatrix Man page
sqlrepsurvey Man page
sqlscatter Man page
sqlsubst Man page
sqlsurvey Man page
sqlvar Man page
subset.sqlrepsurvey Man page
subset.sqlsurvey Man page
svychisq.sqlrepsurvey Man page
svylm Man page
svylm.sqlrepsurvey Man page
svylm.sqlsurvey Man page
svyloglin.sqlrepsurvey Man page
svymean.sqlrepsurvey Man page
svymean.sqlsurvey Man page
svyplot.sqlrepsurvey Man page
svyplot.sqlsurvey Man page
svyquantile.sqlrepsurvey Man page
svyquantile.sqlsurvey Man page
svysmooth.sqlrepsurvey Man page
svysmooth.sqlsurvey Man page
svytotal.sqlrepsurvey Man page
svytotal.sqlsurvey Man page
update.sqlrepsurvey Man page
update.sqlsurvey Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.