add additional functions
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{get_fips}
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\alias{get_fips}
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\title{Get the FIPS code for a given state abbreviation}
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\usage{
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get_fips(stabbr)
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}
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\arguments{
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\item{stabbr}{a two letter abbreviation for a US state}
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}
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\value{
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FIPS codes that match the abbreviation
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}
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\description{
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Get the FIPS code for a given state abbreviation
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}
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\examples{
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get_fips("MT")
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get_fips("PR")
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get_fips("CC")
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{get_stabbr}
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\alias{get_stabbr}
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\title{Get the state abbreviation from a given FIPS Code}
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\usage{
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get_stabbr(fips)
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}
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\arguments{
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\item{fips}{a character value that captures the FIPS code with leading 0}
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}
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\value{
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a character value, length 2, with the state abbreviation
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}
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\description{
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Get the state abbreviation from a given FIPS Code
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}
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\examples{
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get_stabbr("06")
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{outersect}
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\alias{outersect}
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\title{Compute the outersection of two fectors}
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\usage{
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outersect(x, y, ...)
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}
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\arguments{
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\item{x}{first vector, of any type}
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\item{y}{second vector, same type as x}
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\item{...}{additional vectors to be checked}
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}
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\value{
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unique values across all of the vectors
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}
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\description{
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Compute the outersection of two fectors
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}
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\examples{
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# desired result is c(1, 2, 3, 6, 9, 10)
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outersect(1:5, 4:8, 7:10)
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{perturb_count}
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\alias{perturb_count}
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\title{Add a random jitter to a count variable to mask its true value}
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\usage{
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perturb_count(x, fac = 3)
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}
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\arguments{
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\item{x}{the vector of numerics}
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\item{fac}{the range of values to add or subtract to perturb the count}
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}
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\description{
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Add a random jitter to a count variable to mask its true value
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}
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\details{
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The count in the name means that this function enforces a floor of
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0 on values, so values perturbed to have less than 0 will be capped at 0.
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}
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\examples{
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perturb_count(20:30, fac = 3)
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{random_round}
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\alias{random_round}
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\title{Add random noise to a variable before rounding}
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\usage{
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random_round(x)
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}
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\arguments{
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\item{x}{a numeric we want to round}
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}
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\value{
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rounded values
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}
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\description{
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Add random noise to a variable before rounding
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}
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\details{
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Credit to Jens von Bergmann for this algo https://github.com/mountainMath/dotdensity/blob/master/R/dot-density.R
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}
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\examples{
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random_round(1.93)
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{safe_ratio}
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\alias{safe_ratio}
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\title{Safely take a ratio and do not fail if 0 is in the denominator}
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\usage{
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safe_ratio(num, denom)
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}
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\arguments{
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\item{num}{numerator, a numeric}
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\item{denom}{denominator, a numeric}
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}
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\value{
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The proportion, safely calculated with 0.1 substituting for 0
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}
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\description{
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Safely take a ratio and do not fail if 0 is in the denominator
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}
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\examples{
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safe_ratio(100, 1)
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safe_ratio(100, 0)
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{trunc_match}
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\alias{trunc_match}
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\title{Truncated matching function}
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\usage{
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trunc_match(x, y, n)
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}
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\arguments{
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\item{x, }{the character value to match}
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\item{y, }{a vector of multiple character values to look for a match in}
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\item{n, }{an integer, how many matches to return}
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}
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\value{
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an integer giving the position of the table with the most characters
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}
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\description{
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Truncated matching function
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{z_gap_test}
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\alias{z_gap_test}
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\title{Calculate a Z-Score for a comparison between two proportions}
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\usage{
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z_gap_test(a_prop, a_count, b_prop, b_count)
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}
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\arguments{
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\item{a_prop}{the proportion for group a}
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\item{a_count}{the count of the population in group a}
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\item{b_prop}{the proportion for group b}
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\item{b_count}{the count of the population in group b}
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}
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\value{
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a numeric z score
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}
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\description{
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Calculate a Z-Score for a comparison between two proportions
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}
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\examples{
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z_gap_test(0.0002, 1e4, 0.0003, 1e4)
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}
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/utils.R
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\name{z_univariate}
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\alias{z_univariate}
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\title{Calculate a univariate z score by comparing to a population}
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\usage{
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z_univariate(unit_prop, global_prop, unit_denom)
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}
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\arguments{
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\item{unit_prop}{proportion for the group we are comparing}
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\item{global_prop}{the global proportion}
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\item{unit_denom}{the population size for the group we are comparing}
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}
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\value{
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a z-score
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}
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\description{
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Calculate a univariate z score by comparing to a population
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}
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\examples{
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z_univariate(unit_prop = 0.13, global_prop = 0.11, unit_denom = 2500)
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}
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