Optimal stratification of sampling frames for multipurpose sampling surveys


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Documentation for package ‘SamplingStrata’ version 0.9-2

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bethel Multivariate optimal allocation
buildStrataDF Building the "strata" dataframe containing information on target variables Y's distributions in the different strata, starting from sample data or from a frame
checkInput Check of the inputs to the package: dataframes "errors", "strata" and "sampling frame"
errors Precision constraints (maximum CVs) as input for Bethel allocation
errors.chk Precision constraints to be used after strata optimisation for checking results
optimizeStrata Best stratification of a sampling frame for multipurpose surveys
selectSample Selection of a stratified sample from the frame with srswor method
strata Dataframe containing information on strata in the frame
swisserrors Precision constraints (maximum CVs) as input for Bethel allocation
swisserrors.chk Precision constraints (maximum CVs) as input for Bethel allocation
swissframe Dataframe containing information on all units in the population of reference that can be considered as the final sampling unit (this example is related to Swiss municipalities)
swissstrata Dataframe containing information on strata in the swiss municipalities frame
updateFrame Modification of the initial frame on the basis of optimised strata aggregation
updateStrata Attribution of new labels to atomic strata on the basis of the optimised strata aggregation
var.bin This function allows to transform a continuous variable into a categorical ordinal one by applying kmeans function in stats package.
verify Analysis and control of stratification resulting by running optimizeStrata