rerun doco
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@@ -21,4 +21,4 @@ Encoding: UTF-8
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LazyData: true
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Suggests:
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testthat
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RoxygenNote: 7.1.0
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RoxygenNote: 7.1.1
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@@ -8,6 +8,7 @@ export(countNA)
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export(dbSafeNames)
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export(findDots)
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export(get_png)
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export(grade_level_to_num)
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export(has_caption)
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export(make_logo_grob)
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export(measure_caption)
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@@ -16,8 +17,10 @@ export(nvals)
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export(plot_jpeg)
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export(pretty_count)
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export(pretty_per)
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export(race_short_names)
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export(safe_max)
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export(simpleCap)
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export(star_subs)
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export(theme_civilytics)
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import(ggplot2)
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importFrom(ggplot2,theme)
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@@ -73,3 +73,75 @@ pretty_count <- function(x) {
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x <- prettyNum(x, big.mark = ",")
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return(x)
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}
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#' Unsuppress data using sampling
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#'
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#' @param x
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#' @param replace_char the character you want to replace in the vector
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#' @param zeros the number of zeroes to oversample when replacing replace_char
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#' @param max_value the numeric maximum value the replacement for the "*" can be
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#' @return a numeric vector with no characters representing suppressed values
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#' @export
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#'
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#' @examples
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#' suppr_data <- c("2", "8", "*", "*", "7", "9", "100")
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#' star_subs(suppr_data, zeros = 1, max_value = 10)
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#' star_subs(suppr_data, zeros = 1, max_value = 200)
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star_subs <- function(x, replace_char = "*",
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zeros = 15, max_value = 20) {
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x[x == "*"] <- sample(c(rep("0", zeros), as.character(0:max_value)),
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sum(x==replace_char), replace = TRUE)
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x <- as.numeric(x)
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return(x)
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}
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#' Recode grade level from character to numeric
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#'
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#' @param x character description of grade levels from NCES style data
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#'
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#' @return
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#' @export
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#'
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#' @examples
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grade_level_to_num <- function(x) {
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# Cannot generate new levels if it is a factor so we coerce to character first
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x <- as.character(x)
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x[x %in% c("KG", "Kindergarten")] <- "0"
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x[x %in% c("Pre-K", "Pre-k", "Preschool", "Pre-Kindergarten")] <- "-1"
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x[x %in% c("Adult", "Adult Education")] <- "13"
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y <- as.numeric(x)
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return(y)
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}
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#' Recode NCES race categories to shorter names
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#'
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#' @param x a character vector with NCES race codes, often from Urban Institute
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#'
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#' @return
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#' @export
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#'
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#' @examples
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race_short_names <- function(x) {
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x <- as.character(x)
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x[x %in% c("Black", "Black Or African American", "Black or African American",
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"African American")] <- "black"
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x[x %in% c("Hispanic", "Hispanic Or Latino", "Hispanic or Latino")] <-
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"hisp_lat"
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x[x %in% c("White", "white", "White and Not Hispanic")] <- "white"
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x[x %in% c("Asian", "Asian American")] <- "asian"
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x[x %in% c("Two Or More Races", "Two or More Races")] <- "two_or_more"
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x[x %in% c("Native Hawaiian Or Other Pacific Islander",
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"Native Hawaiian or Other Pacific Islander",
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"Native Hawaiian Pacific Islander")] <- "native_haw"
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x[x %in% c("American Indian", "American Indian Or Alaska Native",
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"American Indian or Alaska Native", "American Indian or Native Alaskan")] <- "amind"
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x[x %in% c("Not Reported")] <- "other"
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return(x)
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}
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@@ -0,0 +1,17 @@
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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{grade_level_to_num}
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\alias{grade_level_to_num}
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\title{Recode grade level from character to numeric}
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\usage{
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grade_level_to_num(x)
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}
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\arguments{
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\item{x}{character description of grade levels from NCES style data}
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}
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\value{
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}
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\description{
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Recode grade level from character to numeric
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}
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@@ -0,0 +1,17 @@
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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{race_short_names}
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\alias{race_short_names}
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\title{Recode NCES race categories to shorter names}
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\usage{
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race_short_names(x)
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}
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\arguments{
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\item{x}{a character vector with NCES race codes, often from Urban Institute}
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}
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\value{
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}
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\description{
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Recode NCES race categories to shorter names
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}
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@@ -0,0 +1,26 @@
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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{star_subs}
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\alias{star_subs}
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\title{Unsuppress data using sampling}
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\usage{
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star_subs(x, replace_char = "*", zeros = 15, max_value = 20)
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}
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\arguments{
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\item{replace_char}{the character you want to replace in the vector}
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\item{zeros}{the number of zeroes to oversample when replacing replace_char}
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\item{max_value}{the numeric maximum value the replacement for the "*" can be}
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}
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\value{
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a numeric vector with no characters representing suppressed values
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}
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\description{
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Unsuppress data using sampling
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}
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\examples{
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suppr_data <- c("2", "8", "*", "*", "7", "9", "100")
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star_subs(suppr_data, zeros = 1, max_value = 10)
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star_subs(suppr_data, zeros = 1, max_value = 200)
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}
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