similar to: survey package

Is there a way to create a BRR svrepdesign from a survey design when the number of PSUs is odd in one or more stratum? Creating a JKn svrepdesign with that condition works okay, but when I tried to create a svrepdesign with type="BRR" I get an error and this message: "Can't split with odd numbers of PSUs in a stratum" I get that message when I tell it to merge the

A new package `survey' for analysing complex survey samples is on CRAN. It handles stratification, clustering, and unequal sampling probabilities in descriptive statistics, glms, and general maximum likelihood fitting. The package is still under development: - it doesn't do the finite population correction to variances - it needs some real life worked examples Most importantly,

A new package `survey' for analysing complex survey samples is on CRAN. It handles stratification, clustering, and unequal sampling probabilities in descriptive statistics, glms, and general maximum likelihood fitting. The package is still under development: - it doesn't do the finite population correction to variances - it needs some real life worked examples Most importantly,

Version 3.3 of "survey" is percolating through CRAN. Since the last announcement on this list, version 2.9, the main additions are calibration estimators: linear, bounded linear, raking ratio, bounded raking ratio, logit. Other updates and bug fixes are described in http://faculty.washington.edu/tlumley/survey/NEWS -thomas Thomas Lumley Assoc. Professor,

Version 3.3 of "survey" is percolating through CRAN. Since the last announcement on this list, version 2.9, the main additions are calibration estimators: linear, bounded linear, raking ratio, bounded raking ratio, logit. Other updates and bug fixes are described in http://faculty.washington.edu/tlumley/survey/NEWS -thomas Thomas Lumley Assoc. Professor,

Version 3.18 of the survey package is now percolating through CRAN. Since the last announcement on this list, in February, the main additions are - standard errors for survival curves (both Kaplan-Meier and Cox model) - svyciprop() for confidence intervals on proportions, especially in small samples or near 0 or 1. - predictive margins by direct standardization, with marginpred() -

Version 3.18 of the survey package is now percolating through CRAN. Since the last announcement on this list, in February, the main additions are - standard errors for survival curves (both Kaplan-Meier and Cox model) - svyciprop() for confidence intervals on proportions, especially in small samples or near 0 or 1. - predictive margins by direct standardization, with marginpred() -

Version 3.20 of the survey package is percolating through CRAN The major additions since the last announcement on this list (3.18, in September) are - database-backed designs can now use replicate weights - some multivariate statistics: principal components, factor analysis. The NEWS file has a more detailed list of additions and changes. -thomas Thomas Lumley Assoc.

Version 3.20 of the survey package is percolating through CRAN The major additions since the last announcement on this list (3.18, in September) are - database-backed designs can now use replicate weights - some multivariate statistics: principal components, factor analysis. The NEWS file has a more detailed list of additions and changes. -thomas Thomas Lumley Assoc.

I'm working with a 350MB CSV file on a server that has 3GB of RAM, yet I'm hitting a memory error when I try to store the data frame into a survey design object, the R object that stores data for complex sample survey data. When I launch R, I execute the following line from Windows: "C:\Program Files\R\R-2.9.1\bin\Rgui.exe" --max-mem-size=2047M Anything higher, and I get an

Version 3.11 of the survey package is making its way through CRAN. Since the last announcement on this list, of version 3.9, last September, there have been many minor bug fixes and usability improvements. The main new features are - loglinear models with svyloglin() - database-backed designs now allow new variables to be created, support ODBC in addition to DBI database interfaces, and

Version 3.11 of the survey package is making its way through CRAN. Since the last announcement on this list, of version 3.9, last September, there have been many minor bug fixes and usability improvements. The main new features are - loglinear models with svyloglin() - database-backed designs now allow new variables to be created, support ODBC in addition to DBI database interfaces, and

'surveyNG' version 0.3 is on CRAN. This package provides experimental features for survey analysis that may be incorporated in the survey package in the future. Currently there are facilities for analysis of complex surveys using (possibly large) data sets stored in a SQLite database. However, analysis facilities for these SQL-backed survey designs are rather more limited than in the

'surveyNG' version 0.3 is on CRAN. This package provides experimental features for survey analysis that may be incorporated in the survey package in the future. Currently there are facilities for analysis of complex surveys using (possibly large) data sets stored in a SQLite database. However, analysis facilities for these SQL-backed survey designs are rather more limited than in the

-------------------------------------------------- From: "Ahoussou Sylvie" <sylvie.ahoussou at antilles.inra.fr> Sent: Friday, September 12, 2008 9:48 AM To: "Thomas Lumley" <tlumley at u.washington.edu> Subject: Re: [R] Complex sampling survey _ Use of survey package > Thanks for your answer > > I think I made a mistake when I recopied the 5 first rows of

Version 3.26 of the survey package is percolating through CRAN. Since the last announcement on this list, of version 3.20, about 18 months ago, the main changes are -- an option to calculate replicate-weight variances from sums of squares around the point estimate rather than from the variance of the replicates ("MSE" style) -- Preston's multistage rescaled bootstrap,

Version 3.9 of the survey package is now on CRAN. Since the last announcement (version 3.6-11, about a year ago) the main changes are - Database-backed survey objects: the data can live in a SQLite (or other DBI-compatible) database and be loaded as needed. - Ordinal logistic regression - Support for the 'mitools' package and multiply-imputed data - Conditioning plots,

Version 3.9 of the survey package is now on CRAN. Since the last announcement (version 3.6-11, about a year ago) the main changes are - Database-backed survey objects: the data can live in a SQLite (or other DBI-compatible) database and be loaded as needed. - Ordinal logistic regression - Support for the 'mitools' package and multiply-imputed data - Conditioning plots,

Hi, All Thanks to Robert Baskin, Thomas Lumley, and Spencer Graves for the valuable helps. I have learned a lot from this discussion. I put all discussions together without editing, so we can see how things are evolved. Likely, I have a lot of articles to read. As in the discussion, mixed modeling approach is a poosible but may be over-kill in my posted data analyses. I will explore other

Version 2.9 of survey is on CRAN. In addition to various minor improvements and bug fixes there are two major changes - full multistage finite-population sampling is supported (as in SUDAAN) - the same analysis commands can be used for all design types (eg svymean instead of svrepmean for replicate weight designs) -thomas Thomas Lumley Assoc. Professor, Biostatistics tlumley at