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Use length.out instead of length in rep() to remove partial argument matching #82

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Feb 1, 2024
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Use length.out instead of length in rep() to remove partial argument matching #82

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170 changes: 85 additions & 85 deletions R/randomNames.R
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Original file line number Diff line number Diff line change
@@ -1,85 +1,85 @@
#* @get /randomNames
`randomNames` <-
function(
n,
gender,
ethnicity,
which.names="both",
name.order="last.first",
name.sep=", ",
sample.with.replacement=TRUE,
return.complete.data=FALSE) {
.N <- V1 <- first_name <- last_name <- NULL ## To prevent R CMD check warnings
first_names <- function(tmp.gender, tmp.ethnicity, tmp.number) {
tmp <- randomNames::randomNamesData[[paste("first_names_e", tmp.ethnicity, "_g", tmp.gender, sep="")]]
suppressWarnings(sample(rownames(tmp), tmp.number, replace=sample.with.replacement, prob=tmp))
}
last_names <- function(tmp.ethnicity, tmp.number) {
tmp <- randomNames::randomNamesData[[paste("last_names_e", tmp.ethnicity, sep="")]]
suppressWarnings(sample(rownames(tmp), tmp.number, replace=sample.with.replacement, prob=tmp))
}
if (missing(n) & missing(gender) & missing(ethnicity)) n <- 1
if (missing(n)) n <- 1
if (n < 1) {
message("\tNOTE: Please supply a positive integer for the argument n.")
return(NULL)
}
if (missing(gender)) gender <- NA
if (missing(ethnicity)) ethnicity <- NA
tmp.length <- max(n, length(gender), length(ethnicity), na.rm=TRUE)
if (is.na(tmp.length)) tmp.length <- 1
if (missing(gender)) gender <- round(runif(tmp.length))
if (missing(ethnicity)) ethnicity <- round(runif(tmp.length,min=1,max=5))
gender <- rep(gender, length=tmp.length)
ethnicity <- rep(ethnicity, length=tmp.length)
if (!all(gender %in% c(NA,0,1))) {
tmp <- rep(NA, length(gender))
tmp[grep("Male|M", gender, ignore.case=TRUE)] <- 0
tmp[grep("Female|F", gender, ignore.case=TRUE)] <- 1
gender <- tmp
}
if (!all(ethnicity %in% c(NA,1:6))) {
tmp <- rep(NA, length(ethnicity))
tmp[grep("Indian|Alaska|Native American", ethnicity, ignore.case=TRUE)] <- 1
tmp[grep("Hawaii|Pacific|Asian", ethnicity, ignore.case=TRUE)] <- 2
tmp[grep("Black|African", ethnicity, ignore.case=TRUE)] <- 3
tmp[grep("Latino|Hispanic", ethnicity, ignore.case=TRUE)] <- 4
tmp[grep("White|Caucasian", ethnicity, ignore.case=TRUE)] <- 5
tmp[grep("Middle|Arabic", ethnicity, ignore.case=TRUE)] <- 6
ethnicity <- tmp
}
gender[is.na(gender)] <- sample(0:1, length(gender[is.na(gender)]), replace=TRUE)
ethnicity[is.na(ethnicity)] <- sample(1:6, length(ethnicity[is.na(ethnicity)]), replace=TRUE)
tmp.dt <- data.table(seq.int(tmp.length), gender, ethnicity)
setkeyv(tmp.dt, c("gender", "ethnicity"))
if (which.names=="first" | which.names=="both") {
tmp.dt[,first_name:=first_names(gender, ethnicity, .N), by=list(gender, ethnicity)]
}
if (which.names=="last" | which.names=="both") {
tmp.dt[,last_name:=last_names(ethnicity, .N), by=list(ethnicity)]
}
setkey(tmp.dt, V1)
if (!return.complete.data) {
if (which.names=="first") return(tmp.dt$first_name)
if (which.names=="last") return(tmp.dt$last_name)
if (which.names=="both" & name.order=="last.first") return(paste(tmp.dt$last_name, tmp.dt$first_name, sep=name.sep))
if (which.names=="both" & name.order=="first.last") return(paste(tmp.dt$first_name, tmp.dt$last_name, sep=name.sep))
} else {
tmp.dt[,intersect(names(tmp.dt), c("ethnicity", "gender", "last_name", "first_name")), with=FALSE]
}
} ## END randomNames Function
#* @get /randomNames
`randomNames` <-
function(
n,
gender,
ethnicity,
which.names="both",
name.order="last.first",
name.sep=", ",
sample.with.replacement=TRUE,
return.complete.data=FALSE) {

.N <- V1 <- first_name <- last_name <- NULL ## To prevent R CMD check warnings

first_names <- function(tmp.gender, tmp.ethnicity, tmp.number) {
tmp <- randomNames::randomNamesData[[paste("first_names_e", tmp.ethnicity, "_g", tmp.gender, sep="")]]
suppressWarnings(sample(rownames(tmp), tmp.number, replace=sample.with.replacement, prob=tmp))
}

last_names <- function(tmp.ethnicity, tmp.number) {
tmp <- randomNames::randomNamesData[[paste("last_names_e", tmp.ethnicity, sep="")]]
suppressWarnings(sample(rownames(tmp), tmp.number, replace=sample.with.replacement, prob=tmp))
}

if (missing(n) & missing(gender) & missing(ethnicity)) n <- 1
if (missing(n)) n <- 1
if (n < 1) {
message("\tNOTE: Please supply a positive integer for the argument n.")
return(NULL)
}
if (missing(gender)) gender <- NA
if (missing(ethnicity)) ethnicity <- NA

tmp.length <- max(n, length(gender), length(ethnicity), na.rm=TRUE)
if (is.na(tmp.length)) tmp.length <- 1

if (missing(gender)) gender <- round(runif(tmp.length))
if (missing(ethnicity)) ethnicity <- round(runif(tmp.length,min=1,max=5))

gender <- rep(gender, length.out=tmp.length)
ethnicity <- rep(ethnicity, length.out=tmp.length)

if (!all(gender %in% c(NA,0,1))) {
tmp <- rep(NA, length(gender))
tmp[grep("Male|M", gender, ignore.case=TRUE)] <- 0
tmp[grep("Female|F", gender, ignore.case=TRUE)] <- 1
gender <- tmp
}

if (!all(ethnicity %in% c(NA,1:6))) {
tmp <- rep(NA, length(ethnicity))
tmp[grep("Indian|Alaska|Native American", ethnicity, ignore.case=TRUE)] <- 1
tmp[grep("Hawaii|Pacific|Asian", ethnicity, ignore.case=TRUE)] <- 2
tmp[grep("Black|African", ethnicity, ignore.case=TRUE)] <- 3
tmp[grep("Latino|Hispanic", ethnicity, ignore.case=TRUE)] <- 4
tmp[grep("White|Caucasian", ethnicity, ignore.case=TRUE)] <- 5
tmp[grep("Middle|Arabic", ethnicity, ignore.case=TRUE)] <- 6
ethnicity <- tmp
}

gender[is.na(gender)] <- sample(0:1, length(gender[is.na(gender)]), replace=TRUE)
ethnicity[is.na(ethnicity)] <- sample(1:6, length(ethnicity[is.na(ethnicity)]), replace=TRUE)

tmp.dt <- data.table(seq.int(tmp.length), gender, ethnicity)
setkeyv(tmp.dt, c("gender", "ethnicity"))

if (which.names=="first" | which.names=="both") {
tmp.dt[,first_name:=first_names(gender, ethnicity, .N), by=list(gender, ethnicity)]
}

if (which.names=="last" | which.names=="both") {
tmp.dt[,last_name:=last_names(ethnicity, .N), by=list(ethnicity)]
}

setkey(tmp.dt, V1)
if (!return.complete.data) {
if (which.names=="first") return(tmp.dt$first_name)
if (which.names=="last") return(tmp.dt$last_name)
if (which.names=="both" & name.order=="last.first") return(paste(tmp.dt$last_name, tmp.dt$first_name, sep=name.sep))
if (which.names=="both" & name.order=="first.last") return(paste(tmp.dt$first_name, tmp.dt$last_name, sep=name.sep))
} else {
tmp.dt[,intersect(names(tmp.dt), c("ethnicity", "gender", "last_name", "first_name")), with=FALSE]
}

} ## END randomNames Function