Optimal Stratification of Univariate Populations


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Documentation for package ‘stratifyR’ version 1.0-3

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anaemia Micronutrient data on Anaemia in Fiji
create.mat To create and store calculated values of the objective function
data.alloc To calculate the stratum sample sizes (nh) for a fixed sample size (n) directly based on the data
data.optim To implement the Dynamic Programming (DP) solution procedure on the stratification problem presented in the form of a Mathematical Programming Problem (MPP)
data.root To calculate the objective function values
distr.alloc To calculate the stratum sample sizes (nh) for a fixed sample size (n) based on the hypothetical distribution of the data
distr.optim To implement the Dynamic Programming (DP) solution procedure on the stratification problem presented in the form of a Mathematical Programming Problem (MPP)
distr.root Calculate the objective function values
erf To calculate the error for a normal variable
get.dist To identify the best-fit distribution of a univariate data
hies Household Income Expenditure Survey (HIES) in Fiji
math Mathematics Marks for First-year University Students
minim.val To identify the minimum value out of two given sets of values
mode.val To calculate the modal value of the data
realloc To re-allocate the stratum sample sizes (nh)
strata.data Stratification of Univariate Survey Population Using the Data
strata.distr Stratification of Univariate Survey Population Using the Distribution
sugarcane Sugarcane Farming Data in Fiji
summary.strata This method formats and outputs the final results to the R console