Package strat. November 23, 2016
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1 Type Package Package strat November 23, 2016 Title An Implementation of the Stratification Index Version 0.1 An implementation of the stratification index proposed by Zhou (2012) <DOI: / >. The package provides two functions, srank, which returns stratum-specific information, including population share and average percentile rank; and strat, which returns the stratification index and its approximate standard error. When a grouping factor is specified, strat also provides a detailed decomposition of the overall stratification into between-group and within-group components. Depends R (>= 3.3.1), Imports Hmisc (>= 4.0-0), Rcpp, stats LinkingTo Rcpp, RcppArmadillo License GPL (>= 3) LazyData TRUE RoxygenNote Suggests testthat URL BugReports NeedsCompilation yes Author Xiang Zhou [aut, cre] Maintainer Xiang Zhou <xiang_zhou@fas.harvard.edu> Repository CRAN Date/Publication :26:06 R topics documented: cpsmarch print.srank
2 2 print.srank print.strat srank strat Index 6 cpsmarch2015 A Subset of March CPS 2015 Sample Format A dataset containing income, big class, microclass, and education of 14,358 male respondents from March CPS 2015 cpsmarch2015 A data frame with rows and 5 variables: income personal market income, in US dollars big_class big class membership micro_class microclass membership education educational attainment weight sampling weight given by CPS print.srank Print an object of class srank Print an object of class srank ## S3 method for class 'srank' print(x, digits = 3,...) x digits An object of class srank the number of significant digits to use when printing... further arguments passed to or from other methods
3 print.strat 3 print.strat Print an object of class strat Print an object of class strat ## S3 method for class 'strat' print(x, digits = 3,...) x digits An object of class strat the number of significant digits to use when printing... further arguments passed to or from other methods srank Ranking strata. Ranking strata according to the average percentile rank of members in each stratum. srank(outcome, strata, weights = NULL, group = NULL) outcome strata weights group A numeric vector of outcome. A vector of length(outcome) indicating strata membership. The elements are coerced to factors by factor. An optional vector of weights. An optional grouping factor. Value An object of class srank. raw summary a data frame consisting of complete cases of all inputs. a data frame of stratum-specific information, including name, population share, and average percentile rank.
4 4 strat Examples strata_info <- with(cpsmarch2015, srank(income, big_class, weights = weight, group = education)) print(strata_info, digits = 3) strat Stratification index. strat computes the stratification index proposed in Zhou (2012). When group is specified, it also returns between-group and within-group components of the overall stratification. strat(outcome, strata, weights = NULL, ordered = FALSE, group = NULL) outcome strata weights ordered group A numeric vector of outcome. A vector of length(outcome) indicating strata membership. The elements are coerced to factors by factor. An optional vector of weights. Logical. If TRUE strata are pre-ordered ascendingly. An optional grouping factor. If specified, strat also returns between-group and within-group components of the overall stratification. Value An object of class strat. overall strata_info decomposition within_group a vector of two, giving computed stratification index and approximate standard error. a data frame of stratum-specific information, including name, population share, and average percentile rank. between-group and within-group components of the overall stratification. within-group indices of stratification by group. References Zhou, Xiang "A Nonparametric Index of Stratification." Sociological Methodology, 42(1):
5 strat 5 Examples s <- with(cpsmarch2015, strat(income, big_class, weights = weight, group = education)) print(s, digits = 4) print(s$strata_info, digits = 4) print(s$within_group, digits = 4)
6 Index Topic datasets cpsmarch2015, 2 cpsmarch2015, 2 factor, 3, 4 print.srank, 2 print.strat, 3 srank, 3 strat, 4 6
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