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Hi I have a 3 x 2 contingency table: 10 20 30 40 50 60 I want to update the frequencies to new marginal totals: 100 130 40 80 110 I want to use the ipf (iterative proportional fitting) function which is apparently in the cat package. Can somebody please advice me how to input this data and invoke ipf in R to obtain an updated contingency table? Thanks. By the way I am quite new to R. -- Dr

...1950. * memCompress() and memDecompress() support long raw vectors for types "gzip" and "zx". * sweep() and slice.index() can now use names of dimnames for their MARGIN argument (apply has had this for almost a decade). * New function proportions() and marginSums(). These should replace the unfortunately named prop.table() and margin.table(). They are drop-in replacements, but also add named-margin functionality. The old function names are retained as aliases for back-compatibility. * Functions rbinom(), rgeom(), rhyper(), rpois...

...1950. * memCompress() and memDecompress() support long raw vectors for types "gzip" and "zx". * sweep() and slice.index() can now use names of dimnames for their MARGIN argument (apply has had this for almost a decade). * New function proportions() and marginSums(). These should replace the unfortunately named prop.table() and margin.table(). They are drop-in replacements, but also add named-margin functionality. The old function names are retained as aliases for back-compatibility. * Functions rbinom(), rgeom(), rhyper(), rpois...

...1950. * memCompress() and memDecompress() support long raw vectors for types "gzip" and "zx". * sweep() and slice.index() can now use names of dimnames for their MARGIN argument (apply has had this for almost a decade). * New function proportions() and marginSums(). These should replace the unfortunately named prop.table() and margin.table(). They are drop-in replacements, but also add named-margin functionality. The old function names are retained as aliases for back-compatibility. * Functions rbinom(), rgeom(), rhyper(), rpois...