1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404
|
#' @title Summary of stacked frequencies as HTML table
#' @name tab_stackfrq
#'
#' @description Shows the results of stacked frequencies (such as likert scales) as HTML table.
#' This function is useful when several items with identical scale/categories
#' should be printed as table to compare their distributions (e.g.
#' when plotting scales like SF, Barthel-Index, Quality-of-Life-scales etc.).
#'
#' @param sort.frq logical, indicates whether the \code{items} should be ordered by
#' by highest count of first or last category of \code{items}.
#' \itemize{
#' \item Use \code{"first.asc"} to order ascending by lowest count of first category,
#' \item \code{"first.desc"} to order descending by lowest count of first category,
#' \item \code{"last.asc"} to order ascending by lowest count of last category,
#' \item \code{"last.desc"} to order descending by lowest count of last category,
#' \item or \code{NULL} (default) for no sorting.
#' }
#' @param show.total logical, if \code{TRUE}, an additional column with each
#' item's total N is printed.
#' @param string.total label for the total N column.
#' @param string.na label for the missing column/row.
#' @param show.skew logical, if \code{TRUE}, an additional column with each item's skewness is printed.
#' The skewness is retrieved from the \code{\link[psych]{describe}}-function
#' of the \pkg{psych}-package.
#' @param digits.stats amount of digits for rounding the skewness and kurtosis valuess.
#' Default is 2, i.e. skewness and kurtosis values have 2 digits after decimal point.
#'
#' @inheritParams tab_df
#' @inheritParams tab_itemscale
#' @inheritParams tab_xtab
#' @inheritParams plot_grpfrq
#' @inheritParams plot_stackfrq
#'
#' @return Invisibly returns
#' \itemize{
#' \item the web page style sheet (\code{page.style}),
#' \item the web page content (\code{page.content}),
#' \item the complete html-output (\code{page.complete}) and
#' \item the html-table with inline-css for use with knitr (\code{knitr})
#' }
#' for further use.
#'
#' @examples
#' # -------------------------------
#' # random sample
#' # -------------------------------
#' # prepare data for 4-category likert scale, 5 items
#' likert_4 <- data.frame(
#' as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.2, 0.3, 0.1, 0.4))),
#' as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.5, 0.25, 0.15, 0.1))),
#' as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.25, 0.1, 0.4, 0.25))),
#' as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.1, 0.4, 0.4, 0.1))),
#' as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.35, 0.25, 0.15, 0.25)))
#' )
#'
#' # create labels
#' levels_4 <- c("Independent", "Slightly dependent",
#' "Dependent", "Severely dependent")
#'
#' # create item labels
#' items <- c("Q1", "Q2", "Q3", "Q4", "Q5")
#'
#' # plot stacked frequencies of 5 (ordered) item-scales
#' \dontrun{
#' if (interactive()) {
#' tab_stackfrq(likert_4, value.labels = levels_4, var.labels = items)
#'
#' # -------------------------------
#' # Data from the EUROFAMCARE sample dataset
#' # Auto-detection of labels
#' # -------------------------------
#' data(efc)
#' # recveive first item of COPE-index scale
#' start <- which(colnames(efc) == "c82cop1")
#' # recveive first item of COPE-index scale
#' end <- which(colnames(efc) == "c90cop9")
#'
#' tab_stackfrq(efc[, c(start:end)], alternate.rows = TRUE)
#'
#' tab_stackfrq(efc[, c(start:end)], alternate.rows = TRUE,
#' show.n = TRUE, show.na = TRUE)
#'
#' # --------------------------------
#' # User defined style sheet
#' # --------------------------------
#' tab_stackfrq(efc[, c(start:end)], alternate.rows = TRUE,
#' show.total = TRUE, show.skew = TRUE, show.kurtosis = TRUE,
#' CSS = list(css.ncol = "border-left:1px dotted black;",
#' css.summary = "font-style:italic;"))
#' }
#' }
#' @export
tab_stackfrq <- function(items,
weight.by = NULL,
title = NULL,
var.labels = NULL,
value.labels = NULL,
wrap.labels = 20,
sort.frq = NULL,
alternate.rows = FALSE,
digits = 2,
string.total = "N",
string.na = "NA",
show.n = FALSE,
show.total = FALSE,
show.na = FALSE,
show.skew = FALSE,
show.kurtosis = FALSE,
digits.stats = 2,
file = NULL,
encoding = NULL,
CSS = NULL,
use.viewer = TRUE,
remove.spaces = TRUE) {
# --------------------------------------------------------
# check sorting
# --------------------------------------------------------
if (!is.null(sort.frq)) {
if (sort.frq == "first.asc") {
sort.frq <- "first"
reverseOrder <- FALSE
} else if (sort.frq == "first.desc") {
sort.frq <- "first"
reverseOrder <- TRUE
} else if (sort.frq == "last.asc") {
sort.frq <- "last"
reverseOrder <- FALSE
} else if (sort.frq == "last.desc") {
sort.frq <- "last"
reverseOrder <- TRUE
} else {
sort.frq <- NULL
reverseOrder <- FALSE
}
} else {
reverseOrder <- FALSE
}
# --------------------------------------------------------
# check encoding
# --------------------------------------------------------
encoding <- get.encoding(encoding, items)
# --------------------------------------------------------
# try to automatically set labels is not passed as parameter
# --------------------------------------------------------
if (is.null(value.labels)) {
value.labels <- sjlabelled::get_labels(
items[[1]],
attr.only = F,
values = "n",
non.labelled = T
)
}
if (is.null(var.labels)) {
var.labels <- sjlabelled::get_label(items, def.value = colnames(items))
}
# ----------------------------
# retrieve min and max values
# ----------------------------
minval <- as.numeric(min(apply(items, 2, function(x) min(x, na.rm = TRUE))))
maxval <- as.numeric(max(apply(items, 2, function(x) max(x, na.rm = TRUE))))
# ----------------------------
# if we have no value labels, set default labels and find amount
# of unique categories
# ----------------------------
if (is.null(value.labels)) value.labels <- as.character(minval:maxval)
# check whether missings should be shown
if (show.na) value.labels <- c(value.labels, `NA` = string.na)
# save amolunt of values
catcount <- length(value.labels)
# check length of x-axis-labels and split longer strings at into new lines
value.labels <- sjmisc::word_wrap(value.labels, wrap.labels, "<br>")
# ----------------------------
# if we have no variable labels, use row names
# ----------------------------
if (is.null(var.labels)) var.labels <- colnames(items)
# check length of x-axis-labels and split longer strings at into new lines
var.labels <- sjmisc::word_wrap(var.labels, wrap.labels, "<br>")
# ----------------------------
# additional statistics required from psych-package?
# ----------------------------
if (show.skew) pstat_skewness <- datawizard::skewness(items)
if (show.kurtosis) pstat_kurtosis <- datawizard::kurtosis(items)
if (is.null(weight.by)) {
dummy <- sjmisc::frq(items, show.strings = TRUE, show.na = show.na)
} else {
items$weights <- weight.by
dummy <- sjmisc::frq(items, weights = items$weights, show.strings = TRUE, show.na = show.na)
}
mat.n <- .transform_data(dummy, col = "frq")
mat <- .transform_data(dummy, col = ifelse(isTRUE(show.na), "raw.prc", "valid.prc"))
# ----------------------------
# Check if ordering was requested
# ----------------------------
# default order
facord <- seq_len(nrow(mat))
if (!is.null(sort.frq)) {
if (sort.frq == "first")
facord <- order(mat.n$V1)
else
facord <- order(mat.n[, ncol(mat.n)])
}
# ----------------------------
# reverse order
# ----------------------------
if (reverseOrder) facord <- rev(facord)
# -------------------------------------
# init header
# -------------------------------------
toWrite <- table.header <- sprintf("<html>\n<head>\n<meta http-equiv=\"Content-type\" content=\"text/html;charset=%s\">\n", encoding)
# -------------------------------------
# init style sheet and tags used for css-definitions
# we can use these variables for string-replacement
# later for return value
# -------------------------------------
tag.table <- "table"
tag.caption <- "caption"
tag.thead <- "thead"
tag.tdata <- "tdata"
tag.arc <- "arc"
tag.centeralign <- "centeralign"
tag.firsttablecol <- "firsttablecol"
tag.ncol <- "ncol"
tag.skewcol <- "skewcol"
tag.kurtcol <- "kurtcol"
tag.summary <- "summary"
css.table <- "border-collapse:collapse; border:none; border-bottom:double black;"
css.caption <- "font-weight: bold; text-align:left;"
css.thead <- "border-top:double black; border-bottom:1px solid black; padding:0.2cm;"
css.tdata <- "padding:0.2cm;"
css.arc <- "background-color:#eaeaea;"
css.centeralign <- "text-align:center;"
css.firsttablecol <- "font-style:italic;"
css.ncol <- ""
css.summary <- ""
css.skewcol <- ""
css.kurtcol <- ""
# ------------------------
# check user defined style sheets
# ------------------------
if (!is.null(CSS)) {
if (!is.null(CSS[['css.table']])) css.table <- ifelse(substring(CSS[['css.table']],1,1) == '+', paste0(css.table, substring(CSS[['css.table']],2)), CSS[['css.table']])
if (!is.null(CSS[['css.thead']])) css.thead <- ifelse(substring(CSS[['css.thead']],1,1) == '+', paste0(css.thead, substring(CSS[['css.thead']],2)), CSS[['css.thead']])
if (!is.null(CSS[['css.caption']])) css.caption <- ifelse(substring(CSS[['css.caption']],1,1) == '+', paste0(css.caption, substring(CSS[['css.caption']],2)), CSS[['css.caption']])
if (!is.null(CSS[['css.summary']])) css.summary <- ifelse(substring(CSS[['css.summary']],1,1) == '+', paste0(css.summary, substring(CSS[['css.summary']],2)), CSS[['css.summary']])
if (!is.null(CSS[['css.arc']])) css.arc <- ifelse(substring(CSS[['css.arc']],1,1) == '+', paste0(css.arc, substring(CSS[['css.arc']],2)), CSS[['css.arc']])
if (!is.null(CSS[['css.tdata']])) css.tdata <- ifelse(substring(CSS[['css.tdata']],1,1) == '+', paste0(css.tdata, substring(CSS[['css.tdata']],2)), CSS[['css.tdata']])
if (!is.null(CSS[['css.centeralign']])) css.centeralign <- ifelse(substring(CSS[['css.centeralign']],1,1) == '+', paste0(css.centeralign, substring(CSS[['css.centeralign']],2)), CSS[['css.centeralign']])
if (!is.null(CSS[['css.firsttablecol']])) css.firsttablecol <- ifelse(substring(CSS[['css.firsttablecol']],1,1) == '+', paste0(css.firsttablecol, substring(CSS[['css.firsttablecol']],2)), CSS[['css.firsttablecol']])
if (!is.null(CSS[['css.ncol']])) css.ncol <- ifelse(substring(CSS[['css.ncol']],1,1) == '+', paste0(css.ncol, substring(CSS[['css.ncol']],2)), CSS[['css.ncol']])
if (!is.null(CSS[['css.skewcol']])) css.skewcol <- ifelse(substring(CSS[['css.skewcol']],1,1) == '+', paste0(css.skewcol, substring(CSS[['css.skewcol']],2)), CSS[['css.skewcol']])
if (!is.null(CSS[['css.kurtcol']])) css.kurtcol <- ifelse(substring(CSS[['css.kurtcol']],1,1) == '+', paste0(css.kurtcol, substring(CSS[['css.kurtcol']],2)), CSS[['css.kurtcol']])
}
# ------------------------
# set page style
# ------------------------
page.style <- sprintf("<style>\nhtml, body { background-color: white; }\n%s { %s }\n%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n.%s { %s }\n</style>",
tag.table, css.table, tag.caption, css.caption,
tag.thead, css.thead, tag.tdata, css.tdata,
tag.firsttablecol, css.firsttablecol, tag.arc, css.arc,
tag.centeralign, css.centeralign, tag.ncol, css.ncol,
tag.summary, css.summary, tag.kurtcol, css.kurtcol,
tag.skewcol, css.skewcol)
# ------------------------
# start content
# ------------------------
toWrite <- paste0(toWrite, page.style)
toWrite = paste(toWrite, "\n</head>\n<body>", "\n")
# -------------------------------------
# start table tag
# -------------------------------------
page.content <- "<table>\n"
# -------------------------------------
# table caption
# -------------------------------------
if (!is.null(title)) page.content <- paste(page.content, sprintf(" <caption>%s</caption>\n", title))
# -------------------------------------
# header row
# -------------------------------------
# write tr-tag
page.content <- paste0(page.content, " <tr>\n")
# first column
page.content <- paste0(page.content, " <th class=\"thead\"> </th>\n")
# iterate columns
for (i in 1:catcount) {
page.content <- paste0(page.content, sprintf(" <th class=\"thead\">%s</th>\n", value.labels[i]))
}
# add N column
if (show.total) page.content <- paste0(page.content, sprintf(" <th class=\"thead ncol summary\">%s</th>\n", string.total))
# add skew column
if (show.skew) page.content <- paste0(page.content, " <th class=\"thead skewcol summary\">Skew</th>\n")
# add kurtosis column
if (show.kurtosis) page.content <- paste0(page.content, " <th class=\"thead kurtcol summary\">Kurtosis</th>\n")
# close table row
page.content <- paste0(page.content, " </tr>\n")
# -------------------------------------
# data rows
# -------------------------------------
# iterate all rows of df
for (i in seq_len(nrow(mat))) {
# default row string for alternative row colors
arcstring <- ""
# if we have alternating row colors, set css
if (alternate.rows) arcstring <- ifelse(sjmisc::is_even(i), " arc", "")
# write tr-tag
page.content <- paste0(page.content, " <tr>\n")
# print first table cell
page.content <- paste0(page.content, sprintf(" <td class=\"firsttablecol%s\">%s</td>\n", arcstring, var.labels[facord[i]]))
# --------------------------------------------------------
# iterate all columns
# --------------------------------------------------------
for (j in seq_len(ncol(mat))) {
if (show.n) {
page.content <- paste0(page.content, sprintf(" <td class=\"tdata centeralign%s\">%i<br>(%.*f %%)</td>\n", arcstring, as.integer(mat.n[facord[i], j]), digits, mat[facord[i], j]))
} else {
page.content <- paste0(page.content, sprintf(" <td class=\"tdata centeralign%s\">%.*f %%</td>\n", arcstring, digits, mat[facord[i], j]))
}
}
# add column with N's
if (show.total) page.content <- paste0(page.content, sprintf(" <td class=\"tdata centeralign ncol summary%s\">%i</td>\n", arcstring, as.integer(sum(mat.n[facord[i], ]))))
# add column with Skew's
if (show.skew) page.content <- paste0(page.content, sprintf(" <td class=\"tdata centeralign skewcol summary%s\">%.*f</td>\n", arcstring, digits.stats, pstat_skewness[facord[i]]))
# add column with Kurtosis's
if (show.kurtosis) page.content <- paste0(page.content, sprintf(" <td class=\"tdata centeralign kurtcol summary%s\">%.*f</td>\n", arcstring, digits.stats, pstat_kurtosis[facord[i]]))
# close row
page.content <- paste0(page.content, " </tr>\n")
}
# -------------------------------------
# finish table
# -------------------------------------
page.content <- paste(page.content, "\n</table>")
# -------------------------------------
# finish html page
# -------------------------------------
toWrite <- paste(toWrite, page.content, "\n")
toWrite <- paste0(toWrite, "</body></html>")
# -------------------------------------
# replace class attributes with inline style,
# useful for knitr
# -------------------------------------
# copy page content
# -------------------------------------
knitr <- page.content
# -------------------------------------
# set style attributes for main table tags
# -------------------------------------
knitr <- gsub("class=", "style=", knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub("<table", sprintf("<table style=\"%s\"", css.table), knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub("<caption", sprintf("<caption style=\"%s\"", css.caption), knitr, fixed = TRUE, useBytes = TRUE)
# -------------------------------------
# replace class-attributes with inline-style-definitions
# -------------------------------------
knitr <- gsub(tag.tdata, css.tdata, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.thead, css.thead, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.centeralign, css.centeralign, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.firsttablecol, css.firsttablecol, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.ncol, css.ncol, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.skewcol, css.skewcol, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.kurtcol, css.kurtcol, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.summary, css.summary, knitr, fixed = TRUE, useBytes = TRUE)
knitr <- gsub(tag.arc, css.arc, knitr, fixed = TRUE, useBytes = TRUE)
# -------------------------------------
# remove spaces?
# -------------------------------------
if (remove.spaces) {
knitr <- sju.rmspc(knitr)
toWrite <- sju.rmspc(toWrite)
page.content <- sju.rmspc(page.content)
}
# -------------------------------------
# return results
# -------------------------------------
structure(class = c("sjTable", "sjtstackfrq"),
list(page.style = page.style,
page.content = page.content,
page.complete = toWrite,
header = table.header,
knitr = knitr,
file = file,
viewer = use.viewer))
}
.transform_data <- function(x, col) {
dat <- suppressWarnings(Reduce(function(x, y) merge(x, y, all = TRUE, sort = FALSE, by = "val"), x))
if (is.factor(dat$val)) {
reihe <- levels(dat$val)
if (anyNA(dat$val))
reihe <- c(reihe, NA)
dat <- dat[order(dat$val, reihe), ]
} else {
dat <- dat[order(dat$val), ]
}
colnames(dat) <- make.names(colnames(dat), unique = TRUE)
keep <- (colnames(dat) == "val") | grepl(paste0("^", col), colnames(dat))
dat <- as.data.frame(t(dat[, keep, drop = FALSE]))
dat <- as.data.frame(sapply(dat[-1, ], function(i) as.numeric(as.character(i))))
dat[is.na(dat)] <- 0
colnames(dat) <- sprintf("V%i", 1:ncol(dat))
dat
}
|