Package casematch. R topics documented: January 7, Type Package
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1 Type Package Package casematch January 7, 2017 Title Identify Similar Cases for Qualitative Case Studies Version Date Author Rich Nielsen Maintainer Rich Nielsen Description Allows users to identify similar cases for qualitative case studies using statistical matching methods. License GPL (>= 2) NeedsCompilation no Repository CRAN Date/Publication :06:47 R topics documented: casematch-package case.match EU Index 7 casematch-package A package for using matching to select cases from a quantitative data set for further qualitative analysis. Description This package uses statistical matching to identify "most similar" cases in a quantitative data set for subsequent qualitative analysis. Unlike existing matching packages, this package intended to meet some specific needs of analysts using matching for case studies. 1
2 2 case.match Details Use the case.match function. Author(s) Maintainer: Rich Nielsen References Nielsen, Richard A "Case Selection Via Matching," Sociological Methods and Research. See Also case.match Examples mvars <- c("socialist","rgdpc","fhc","fhp","trade") dropvars <- c("countryname","population") ## In this example, I subset to the first 40 obs. to cut run-time out <- case.match(data=eu[1:40,], id.var="countryname", leaveout.vars=dropvars, greedy.match="pareto", number.of.matches.to.return=10, treatment.var="eu", max.variance=true) out$cases case.match Uses matching methods to select cases for qualitative analysis Description Uses matching methods to select cases for qualitative analysis Usage case.match(data, id.var, case.n = 2, distance = "mahalanobis", design.type = "most similar", match.case = NULL, greedy.match="pareto", number.of.matches.to.return = 1, treatment.var = NULL, outcome.var= NULL, leaveout.vars = NULL, max.variance = FALSE, max.variance.outcome=false, variance.tolerance = 0.1, max.spread = FALSE, max.spread.outcome=false, varweights = NULL)
3 case.match 3 Arguments data id.var case.n The original data. A string variable that uniquely identifies cases within the data The number of cases to choose. Must be 1 or more. distance The distance metric, specified as a string. Options are "mahalanobis", "euclidean", or "standardized", where "standardized" means that variables are standardized by their standard deviations. design.type Should the algorithm pick cases that are most similar or most different? Specify either "most similar" or "most different" as a string. match.case If specified, this is the value of id.var of a specific case to match. number.of.matches.to.return How many matches to return. greedy.match treatment.var outcome.var leaveout.vars Specifies which matches to return. Options are "pareto", "greedy", and "all". "all" keeps all matches. "pareto" matches eliminate redundant matches where both units have better available matches. "greedy" matches keeps only the top matches in the data, but does eliminates best matches for some units since it uses a without replacement algorithm. The name of the treatment variable, specified as a string. The name of the outcome variable, specified as a string. A vector of variables to not include in the matching. max.variance Should the cases be selected to maximize variance on treatment.var? If cases should be in opposite treatment conditions, specify max.variance=true. max.variance.outcome Should the cases be selected to maximize variance on outcome.var? If cases should have opposite outcomes, specify max.variance.outcome=true. variance.tolerance The proportion of cases to consider if max.variance is specified but there are too few cases that maximize the variance of treatment.var. Details max.spread Should the cases be selected to maximize "spread" on the treatment variable, meaning that cases are selected to be have evenly values from the min of treatment.var to the max? max.spread.outcome Should the cases be selected to maximize "spread" on the outcome variable, meaning that cases are selected to be have evenly values from the min of outcome.var to the max? varweights An optional vector of variable weights. It must line up with the columns of the data after id.var and leaveout.vars are removed. Optionally, element names can be included for varweights if so, the function checks that the names are identical to (and line up with) the names of the matching variables. It will throw an error if they do not. case.match uses statistical matching to select cases in a quantitative data set for subsequent qualitative analysis in "most similar" and "most different" research designs.
4 4 case.match Value case.match returns a named list with the following elements: cases A table of the matched cases. case.distances A list of the distances between matched cases. Author(s) Rich Nielsen References Nielsen, Richard A. Forthcoming. "Case Selection Via Matching," Sociological Methods and Research. Examples mvars <- c("socialist","rgdpc","fhc","fhp","trade") dropvars <- c("countryname","population") ## In this example, I subset to the first 40 obs. to cut run-time out <- case.match(data=eu[1:40,], id.var="countryname", leaveout.vars=dropvars, number.of.matches.to.return=10, treatment.var="eu", max.variance=true) out$cases ## Not run: ## All cases: ## Find the best matches of EU to non-eu countries out <- case.match(data=eu, id.var="countryname", leaveout.vars=dropvars, number.of.matches.to.return=10, treatment.var="eu", max.variance=true) out$cases ## Find the best matches while downweighting political variables myvarweights <- c(1,1,.1,.1,.1) names(myvarweights) <- c("rgdpc","trade","fhp","fhc","socialist") myvarweights (case.match(data=eu, id.var="countryname", leaveout.vars=dropvars, number.of.matches.to.return=10, treatment.var="eu", max.variance=true,varweights=myvarweights))$cases ## Find the best non-eu matches for Germany tabger <- case.match(data=eu, match.case="german Federal Republic", id.var="countryname",leaveout.vars=dropvars, number.of.matches.to.return=10,max.variance=true,
5 EU 5 ## End(Not run) treatment.var="eu") EU Cross-national data for 189 countries. Description Usage Format Details Source A cross-national data set including economic and political variables for 189 countries, averaged from A data frame with 185 observations on the following 13 variables. countryname The name of the country population Country population from Gleditsch. rgdpc GDP per capita from Gleditsch. trade Trade from Gleditsch. FHp Freedom House political rights. FHc Freedom House civil rights. socialist An indicator for countries that were socialist during the Cold War. eu An indicator for EU members. A cross-national data set including economic and political variables for 189 countries, averaged from Data are collected by Gleditsch and Freedom House. Gleditsch, Kristian Skrede. (2004) Expanded Trade and GDP Data, Version References Nielsen, Richard A. Forthcoming. "Case Selection Via Matching," Sociological Methods and Research. Selection via Matching.pdf
6 6 EU Examples
7 Index Topic \textasciitildecase selection case.match, 2 Topic \textasciitildematching case.match, 2 Topic datasets EU, 5 Topic package casematch-package, 1 case.match, 2, 2 casematch (casematch-package), 1 casematch-package, 1 EU, 5 7
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