Nothing
#' Construct a Fake Likert Survey Response Data Frame
#'
#' @description
#' `make_likert_data` generates a data.frame with select (entirely fictional)
#' numerically coded responses of fictional people to fictional survey items to
#' demonstrate and explore labelr functionalities.
#'
#' @details
#' Data is entirely fictional and strictly for purposes of demonstrating labelr.
#'
#' @param n number of observations (rows) of hypothetical data set to create.
#' @param scale the sequence of distinct integer values describing the raw /
#' naive numerical codings of Likert-type survey items.
#' @param rownames create memorable but arbitrary rownames for inspection (if
#' TRUE).
#'
#' @return a data.frame.
#' @export
#' @examples
#' # add_val_labs() "vars" arg will do partial matching if partial = TRUE
#' # in this case, we catch all vars with "x" in their name
#' set.seed(272)
#' dflik <- make_likert_data(scale = 1:7)
#' vals2label <- 1:7
#' labs2use <- c(
#' "VSD",
#' "SD",
#' "D",
#' "N",
#' "A",
#' "SA",
#' "VSA"
#' )
#'
#' dflik <- add_val_labs(
#' data = dflik, vars = c("x", "y3"), # note the vars args
#' vals = vals2label,
#' labs = labs2use,
#' partial = TRUE
#' )
#'
#' # note, all "x" vars get the labs, as does "y3"
#' # see vars = args above
#' lik1 <- use_val_labs(dflik)
#' head(lik1)
make_likert_data <- function(n = 1000,
scale = 1:7,
rownames = TRUE) {
id <- 1:n
data <- data.frame(id = id)
for (i in seq_len(5)) {
this_coln <- ncol(data) + 1
x <- sample(c(scale), n, replace = TRUE)
data <- cbind(data, x)
names(data)[this_coln] <- paste0("x", i)
}
for (i in seq_len(5)) {
this_coln <- ncol(data) + 1
y <- sample(c(scale), n, replace = TRUE)
data <- cbind(data, y)
names(data)[this_coln] <- paste0("y", i)
}
if (rownames) {
lett <- sample(LETTERS, size = length(id), replace = TRUE)
rownames(data) <- paste0(lett, "-", id)
}
return(data)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.