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Jonas Karneboge 2026-09-22 18:35:43 +02:00
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source("renv/activate.R")

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Version: 1.0
RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default
EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX

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# Präambel ####
PFAD_DOWNLOAD_SKRIPT = "../API/get_data_ctq.R"
PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
AKZENT_FARBE = "#8B2635"
APP_VERZEICHNIS = normalizePath(getwd())
absPath = function(pfad) {
if (grepl("^([A-Za-z]:[/\\\\]|/)", pfad)) return(pfad)
file.path(APP_VERZEICHNIS, pfad)
}
PFAD_DOWNLOAD_SKRIPT = normalizePath(absPath(PFAD_DOWNLOAD_SKRIPT), mustWork = FALSE)
PFAD_PSEUDONYM_SKRIPT = normalizePath(absPath(PFAD_PSEUDONYM_SKRIPT), mustWork = FALSE)
CTQ_DISCLAIMER = paste0(
"Diese Auswertung ist ein Hilfsmittel fuer klinisches Fachpersonal und ersetzt ",
"keine klinische Diagnose. Die Interpretation obliegt der behandelnden Person. ",
"Die angezeigte Klassifikation (None/Low/Moderate/Severe) stammt aus dem amerikanischen ",
"CTQ-Manual (Bernstein & Fink, 1998) und liegt fuer die deutsche Fassung nicht als eigene ",
"Norm vor; sie dient nur zur groben Orientierung, nicht als gesicherte deutsche Normierung. ",
"Die Subskala Bagatellisierung/Verleugnung hat im Manual keine eigene Klassifikationsstufe ",
"und ist als Validitaetshinweis (moegliche Verzerrung der uebrigen Angaben) zu lesen, nicht ",
"als klinische Belastungsdimension."
)
CTQ_BADGE_FARBEN = c(
"1" = "#4CAF50",
"2" = "#FFC107",
"3" = "#FF9800",
"4" = "#E53935",
"5" = "#4A0000"
)
CTQ_BADGE_TEXT_FARBEN = c(
"1" = "white",
"2" = "#333333",
"3" = "white",
"4" = "white",
"5" = "white"
)
CTQ_KLASS_WORD_FARBEN = list(
"None (or minimal)" = list(bg = "#E8F5E9", text = "#2E7D32"),
"Low (to moderate)" = list(bg = "#FFF9C4", text = "#F57F17"),
"Moderate (to severe)" = list(bg = "#FFF3E0", text = "#E65100"),
"Severe (to extreme)" = list(bg = "#FFEBEE", text = "#B71C1C")
)
library(shiny)
library(dplyr)
library(ggplot2)
library(haven)
library(officer)
# Infrastruktur ####
app_css = "
body { font-family: 'Segoe UI', Arial, sans-serif; background: #f5f5f5; }
.app-header {
background: #8B2635; color: white; padding: 18px 24px 14px;
margin-bottom: 20px; border-radius: 0 0 6px 6px;
}
.app-header h2 { margin: 0; font-size: 1.5rem; font-weight: 600; }
.app-header p { margin: 4px 0 0; opacity: 0.85; font-size: 0.9rem; }
.input-panel {
background: white; border-radius: 6px; padding: 16px 20px;
margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
display: flex; align-items: flex-end; gap: 12px; flex-wrap: wrap;
}
.input-panel .form-group { margin-bottom: 0; }
.input-panel label { font-weight: 600; color: #333; }
.btn-laden {
background: #8B2635 !important; color: white !important;
border: none !important; border-radius: 4px !important;
padding: 8px 20px !important; font-weight: 600 !important; cursor: pointer;
}
.btn-laden:hover { background: #6d1e29 !important; }
.alert-fehler {
background: #FFEBEE; border-left: 5px solid #C62828;
padding: 12px 16px; border-radius: 4px; color: #B71C1C;
margin-bottom: 12px; font-weight: 500;
}
.alert-warnung {
background: #FFF3E0; border-left: 5px solid #E65100;
padding: 10px 16px; border-radius: 4px; color: #BF360C;
margin-bottom: 12px; font-size: 0.93em; font-weight: 500;
}
.abschnitt-karte {
background: white; border-radius: 6px; padding: 20px 24px;
margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
}
.abschnitt-titel {
color: #8B2635; font-size: 1.15rem; font-weight: 700;
border-bottom: 2px solid #8B2635; padding-bottom: 8px; margin-bottom: 14px;
}
.meta-block { margin-bottom: 10px; color: #555; font-size: 0.95em; }
.meta-block strong { color: #222; }
.subskala-karte {
border-radius: 6px; padding: 14px 18px; margin-bottom: 12px;
background: #FAFAFA; border: 1px solid #E8E8E8;
}
.subskala-titel { font-weight: 700; color: #333; font-size: 0.97rem; margin-bottom: 4px; }
.subskala-score { font-size: 1.9rem; font-weight: 800; color: #8B2635; display: inline-block; }
.klass-badge {
display: inline-block; border-radius: 4px; padding: 3px 10px;
font-weight: 600; font-size: 0.83em; margin-left: 10px; vertical-align: middle;
}
.klass-none { background: #E8F5E9; color: #2E7D32; border: 1px solid #A5D6A7; }
.klass-low { background: #FFF9C4; color: #B7770D; border: 1px solid #FFE082; }
.klass-moderate { background: #FFF3E0; color: #E65100; border: 1px solid #FFCC80; }
.klass-severe { background: #FFEBEE; color: #B71C1C; border: 1px solid #EF9A9A; }
.disclaimer-box {
font-size: 0.83em; color: #666; font-style: italic;
background: #FAFAFA; border: 1px solid #E0E0E0;
padding: 10px 14px; border-radius: 4px; margin-top: 8px;
}
.item-zeile {
display: flex; align-items: flex-start; gap: 10px;
padding: 7px 0; border-bottom: 1px solid #F0F0F0;
}
.item-nr { font-weight: 600; color: #8B2635; min-width: 30px; flex-shrink: 0; }
.item-text { flex: 1; color: #333; font-size: 0.92em; }
.stufe-badge {
border-radius: 4px; padding: 2px 9px; font-weight: 700;
font-size: 0.82em; white-space: nowrap; display: inline-block; flex-shrink: 0;
}
.stufe-badge-1 { background: #4CAF50; color: white; }
.stufe-badge-2 { background: #FFC107; color: #333333; }
.stufe-badge-3 { background: #FF9800; color: white; }
.stufe-badge-4 { background: #E53935; color: white; }
.stufe-badge-5 { background: #4A0000; color: white; }
.sk-gruppe-titel {
font-weight: 700; color: #555; font-size: 0.88em; text-transform: uppercase;
letter-spacing: 0.05em; margin-top: 14px; margin-bottom: 4px;
}
.item-01-hinweis {
font-size: 0.82em; color: #888; font-style: italic; margin-left: 4px;
}
"
app_css = gsub("#8B2635", AKZENT_FARBE, app_css, fixed = TRUE)
# Helper ####
clean_item_label = function(text) {
if (is.null(text) || length(text) == 0 || is.na(text[1])) return(NA_character_)
sub("^\\d+[.)\\s]\\s*", "", trimws(as.character(text[1])))
}
ctq_get_anker = function(original_col, wert) {
if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
lbl = attr(original_col, "labels")
if (!is.null(lbl) && length(lbl) > 0) {
pos = which(as.numeric(lbl) == as.numeric(wert[1]))
if (length(pos) > 0) return(names(lbl)[pos[1]])
}
NA_character_
}
bagatellisierung_itemscore = function(rohwert) {
if (is.na(rohwert)) return(NA_real_)
if (rohwert == 5) return(1)
return(0)
}
ctq_validiere_labels = function(daten_ctq) {
anker_erwartet = c("überhaupt nicht", "sehr selten", "einige male",
"häufig", "sehr häufig")
for (nr in 2:28) {
var = paste0("ctq_", sprintf("%02d", nr))
col = daten_ctq[[var]]
lbl = attr(col, "labels")
if (is.null(lbl) || length(lbl) < 5)
stop(paste0(
"Labels fuer ", var, " fehlen oder unvollstaendig (", length(lbl), " statt 5). ",
"Bitte formr-Export pruefen."
))
namen_norm = tolower(trimws(names(lbl)))
fehlend = anker_erwartet[!anker_erwartet %in% namen_norm]
if (length(fehlend) > 0)
stop(paste0(
"Labels fuer ", var, " nicht wie erwartet. ",
"Fehlende Anker: [", paste(fehlend, collapse = ", "), "]. ",
"Gefunden: [", paste(names(lbl), collapse = ", "), "]. ",
"Bitte formr-Export pruefen."
))
}
invisible(TRUE)
}
ctq_klassifiziere = function(score, grenzen, labels) {
if (is.na(score)) return(NA_character_)
if (score <= grenzen[1]) return(labels[1])
if (score <= grenzen[2]) return(labels[2])
if (score <= grenzen[3]) return(labels[3])
return(labels[4])
}
klass_css_klasse = function(klass_label) {
if (is.null(klass_label) || is.na(klass_label)) return("")
switch(klass_label,
"None (or minimal)" = "klass-none",
"Low (to moderate)" = "klass-low",
"Moderate (to severe)" = "klass-moderate",
"Severe (to extreme)" = "klass-severe",
""
)
}
berechne_sk_score = function(sk_name, sk, zeile, daten_ctq) {
if (isTRUE(sk$sonderkodierung)) {
item_scores = sapply(sk$items, function(nr) {
var = paste0("ctq_", sprintf("%02d", nr))
roh = as.numeric(zeile[[var]][1])
bagatellisierung_itemscore(roh)
})
return(sum(item_scores, na.rm = TRUE))
}
item_scores = sapply(sk$items, function(nr) {
var = paste0("ctq_", sprintf("%02d", nr))
roh = as.numeric(zeile[[var]][1])
if (is.na(roh)) return(NA_real_)
if (nr %in% sk$invertiert) 6 - roh else roh
})
sum(item_scores, na.rm = TRUE)
}
make_ctq_gauge = function(score, x_min, x_max, titel, grenzen = NULL) {
score_num = as.numeric(score)
if (!is.null(grenzen)) {
zone_df = data.frame(
xmin = c(x_min - 0.5, grenzen + 0.5),
xmax = c(grenzen + 0.5, x_max + 0.5),
fill = c("#C8E6C9", "#FFF9C4", "#FFE0B2", "#FFCDD2"),
stringsAsFactors = FALSE
)
} else {
zone_df = data.frame(
xmin = x_min - 0.5,
xmax = x_max + 0.5,
fill = "#E3F2FD",
stringsAsFactors = FALSE
)
}
ggplot() +
geom_rect(data = zone_df,
aes(xmin = xmin, xmax = xmax, ymin = 0, ymax = 1, fill = fill),
color = NA) +
scale_fill_identity() +
geom_rect(aes(xmin = x_min - 0.5, xmax = x_max + 0.5, ymin = 0, ymax = 1),
fill = NA, color = "#9E9E9E", linewidth = 0.6) +
geom_segment(aes(x = score_num, xend = score_num, y = -0.25, yend = 1.25),
color = AKZENT_FARBE, linewidth = 2.5) +
geom_label(aes(x = score_num, y = 1.6, label = paste0("Score: ", score_num)),
fill = AKZENT_FARBE, color = "white", fontface = "bold",
linewidth = 0, size = 4) +
scale_x_continuous(
limits = c(x_min - 1, x_max + 1),
breaks = if (!is.null(grenzen)) sort(unique(c(x_min, grenzen, x_max)))
else x_min:x_max
) +
scale_y_continuous(limits = c(-0.8, 2.0)) +
theme_minimal(base_size = 11) +
theme(
axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor = element_blank(),
axis.title.y = element_blank(),
plot.margin = margin(t = 5, r = 10, b = 5, l = 10)
) +
labs(x = paste0(titel, " (", x_min, "-", x_max, ")"), y = NULL)
}
# Datenaufbereitung ####
ctq_subskalen = list(
emotionale_vernachlaessigung = list(
items = c(2, 5, 7, 13, 19, 26, 28),
invertiert = c(2, 5, 7, 13, 19, 26, 28),
label = "Emotionale Vernachlässigung"
),
sexueller_missbrauch = list(
items = c(20, 21, 23, 24, 27),
invertiert = c(),
label = "Sexueller Missbrauch"
),
koerperlicher_missbrauch_vernachlaessigung = list(
items = c(4, 6, 9, 11, 12, 15, 17),
invertiert = c(),
label = "Körperlicher Missbrauch und Vernachlässigung"
),
emotionaler_missbrauch = list(
items = c(3, 8, 14, 18, 25),
invertiert = c(),
label = "Emotionaler Missbrauch"
),
bagatellisierung = list(
items = c(10, 16, 22),
invertiert = c(),
label = "Bagatellisierung/Verleugnung",
sonderkodierung = TRUE
)
)
ctq_klassifikation = list(
emotionale_vernachlaessigung = list(
grenzen = c(9, 14, 17),
labels = c("None (or minimal)", "Low (to moderate)", "Moderate (to severe)", "Severe (to extreme)")
),
sexueller_missbrauch = list(
grenzen = c(5, 7, 12),
labels = c("None (or minimal)", "Low (to moderate)", "Moderate (to severe)", "Severe (to extreme)")
),
koerperlicher_missbrauch_vernachlaessigung = list(
grenzen = c(7, 9, 12),
labels = c("None (or minimal)", "Low (to moderate)", "Moderate (to severe)", "Severe (to extreme)")
),
emotionaler_missbrauch = list(
grenzen = c(8, 12, 15),
labels = c("None (or minimal)", "Low (to moderate)", "Moderate (to severe)", "Severe (to extreme)")
)
)
item_zu_skala = local({
erg = list()
for (sk_name in names(ctq_subskalen)) {
for (nr in ctq_subskalen[[sk_name]]$items) {
erg[[as.character(nr)]] = sk_name
}
}
erg
})
# UI ####
ui = fluidPage(
tags$head(
tags$meta(charset = "UTF-8"),
tags$style(HTML(app_css))
),
div(class = "app-header",
tags$h2("CTQ – Childhood Trauma Questionnaire"),
tags$p("Bernstein & Fink, 1998 | Deutsche Fassung | Einzelauswertung")
),
div(class = "container-fluid",
div(class = "input-panel",
div(style = "min-width: 360px; white-space: nowrap;",
textInput("pseudonym",
label = tagList(
"Pseudonym",
tags$span(style = "font-weight: normal; font-style: italic; font-size: 0.78em; color: #888; margin-left: 4px; white-space: nowrap;",
"optional, hat Vorrang vor Chiffre")
),
placeholder = "optional", width = "340px")
),
div(style = "min-width: 200px;",
textInput("chiffre", label = "Patientenchiffre",
placeholder = "z.B. P000123", width = "100%")
),
actionButton("btn_suchen", "Auswerten", class = "btn btn-primary btn-laden"),
div(style = "margin-left: auto;",
downloadButton("download_word", "Word-Export (.docx)")
)
),
uiOutput("fehler_ui"),
uiOutput("warnung_ui"),
uiOutput("ergebnis_ui")
)
)
# Word-Export ####
erstelle_ctq_docx = function(erg) {
doc = read_docx()
fp_titel = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 18)
fp_abschnitt = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 13)
fp_label = fp_text(bold = TRUE, font.size = 11)
fp_normal = fp_text(font.size = 11)
fp_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
fp_sk_titel = fp_text(bold = TRUE, font.size = 12)
doc = body_add_fpar(doc, fpar(
ftext("CTQ – Childhood Trauma Questionnaire", fp_titel)
))
doc = body_add_fpar(doc, fpar(
ftext("Chiffre: ", fp_label), ftext(erg$chiffre, fp_normal),
ftext(" Ausfuelldatum: ", fp_label), ftext(erg$ausfuelldatum, fp_normal)
))
if (!is.null(erg$info_mehrere)) {
doc = body_add_fpar(doc, fpar(
ftext(erg$info_mehrere, fp_text(font.size = 10, italic = TRUE, color = "#555555"))
))
}
doc = body_add_par(doc, "", style = "Normal")
doc = body_add_fpar(doc, fpar(ftext("Subskalen-Scores", fp_abschnitt)))
for (sk_name in names(erg$sk_erg)) {
sk_res = erg$sk_erg[[sk_name]]
score_txt = as.character(sk_res$score)
if (!is.na(sk_res$klass)) {
klass_farbe = CTQ_KLASS_WORD_FARBEN[[sk_res$klass]]
fp_klass = fp_text(bold = TRUE, font.size = 11,
color = klass_farbe$text, shading.color = klass_farbe$bg)
doc = body_add_fpar(doc, fpar(
ftext(paste0(sk_res$label, ": "), fp_sk_titel),
ftext(score_txt, fp_text(bold = TRUE, font.size = 13, color = AKZENT_FARBE)),
ftext(" ", fp_normal),
ftext(paste0(" ", sk_res$klass, " "), fp_klass)
))
} else {
doc = body_add_fpar(doc, fpar(
ftext(paste0(sk_res$label, " (Validitaetshinweis): "), fp_sk_titel),
ftext(paste0(score_txt, " / 3"), fp_text(bold = TRUE, font.size = 13, color = AKZENT_FARBE))
))
}
}
doc = body_add_par(doc, "", style = "Normal")
doc = body_add_fpar(doc, fpar(ftext("Einzelitems", fp_abschnitt)))
sk_reihenfolge = names(ctq_subskalen)
for (sk_name in sk_reihenfolge) {
sk_label = ctq_subskalen[[sk_name]]$label
doc = body_add_fpar(doc, fpar(
ftext(sk_label, fp_text(bold = TRUE, font.size = 11, color = "#555555"))
))
items_dieser_sk = Filter(function(it) {
!is.null(it$sk_name) && !is.na(it$sk_name) && it$sk_name == sk_name
}, erg$items_erg)
for (it in items_dieser_sk) {
roh_key = if (!is.na(it$rohwert) && it$rohwert >= 1 && it$rohwert <= 5)
as.character(as.integer(it$rohwert)) else "1"
badge_farbe = CTQ_BADGE_FARBEN[[roh_key]]
badge_text_farbe = CTQ_BADGE_TEXT_FARBEN[[roh_key]]
fp_badge = fp_text(color = badge_text_farbe, bold = TRUE,
shading.color = badge_farbe, font.size = 10)
item_txt = if (!is.na(it$item_text)) it$item_text else paste0("Item ", it$nr)
anker_txt = if (!is.na(it$anker_text)) it$anker_text else paste0("Stufe ", it$rohwert)
doc = body_add_fpar(doc, fpar(
ftext(paste0(it$nr, ". ", item_txt, " "), fp_normal),
ftext(paste0(" ", anker_txt, " "), fp_badge)
))
}
}
item1 = Filter(function(it) it$nr == 1, erg$items_erg)
if (length(item1) > 0) {
it = item1[[1]]
doc = body_add_fpar(doc, fpar(
ftext("Item 1 (nicht in Subskalenbildung einbezogen)",
fp_text(bold = TRUE, font.size = 11, color = "#888888"))
))
roh_key = if (!is.na(it$rohwert) && it$rohwert >= 1 && it$rohwert <= 5)
as.character(as.integer(it$rohwert)) else "1"
badge_farbe = CTQ_BADGE_FARBEN[[roh_key]]
badge_text_farbe = CTQ_BADGE_TEXT_FARBEN[[roh_key]]
fp_badge = fp_text(color = badge_text_farbe, bold = TRUE,
shading.color = badge_farbe, font.size = 10)
item_txt = if (!is.na(it$item_text)) it$item_text else "Item 1"
anker_txt = if (!is.na(it$anker_text)) it$anker_text else paste0("Stufe ", it$rohwert)
doc = body_add_fpar(doc, fpar(
ftext(paste0("1. ", item_txt, " "), fp_normal),
ftext(paste0(" ", anker_txt, " "), fp_badge)
))
}
doc = body_add_par(doc, "", style = "Normal")
doc = body_add_fpar(doc, fpar(ftext(CTQ_DISCLAIMER, fp_disclaimer)))
doc
}
# Server ####
server = function(input, output, session) {
# --- pseudonym-support-injection v1 ---
observe({
query = parseQueryString(session$clientData$url_search)
if (!is.null(query$pseudonym) && nchar(trimws(query$pseudonym)) > 0) {
updateTextInput(session, "pseudonym", value = trimws(query$pseudonym))
}
})
observe({
query = parseQueryString(session$clientData$url_search)
if (!is.null(query$chiffre) && nchar(trimws(query$chiffre)) > 0) {
updateTextInput(session, "chiffre", value = toupper(trimws(query$chiffre)))
}
})
ergebnis_r = eventReactive(input$btn_suchen, {
chiffre = toupper(trimws(input$chiffre))
if ((nchar(trimws(input$pseudonym)) == 0 && nchar(chiffre) == 0))
return(list(error = "Bitte eine Patientenchiffre eingeben."))
if (!(nchar(trimws(input$pseudonym)) > 0 || grepl("^[A-Z][0-9]{6}$", chiffre)))
return(list(error = paste0(
"Ungueltige Chiffre '", chiffre, "'. ",
"Erwartet: ein Grossbuchstabe gefolgt von 6 Ziffern (z.B. P000123)."
)))
if (!file.exists(PFAD_DOWNLOAD_SKRIPT))
return(list(error = paste0("Download-Skript nicht gefunden:\n", PFAD_DOWNLOAD_SKRIPT)))
if (!file.exists(PFAD_PSEUDONYM_SKRIPT))
return(list(error = paste0("Pseudonym-Skript nicht gefunden:\n", PFAD_PSEUDONYM_SKRIPT)))
res_dl = tryCatch(
{ source(PFAD_DOWNLOAD_SKRIPT, local = FALSE); list(ok = TRUE) },
error = function(e) list(ok = FALSE, msg = e$message)
)
if (!res_dl$ok)
return(list(error = paste0("Fehler im Download-Skript: ", res_dl$msg)))
db_ordner = local({
ordner = dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
gefunden = NULL
for (i in 1:5) {
if (file.exists(file.path(ordner, "pseudonyme.db"))) { gefunden = ordner; break }
elternteil = dirname(ordner)
if (elternteil == ordner) break
ordner = elternteil
}
gefunden
})
alter_wd = getwd()
wd_ziel = if (!is.null(db_ordner)) db_ordner else
dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
setwd(wd_ziel)
on.exit(setwd(alter_wd), add = TRUE)
res_ps = tryCatch(
{ source(PFAD_PSEUDONYM_SKRIPT, local = FALSE)
if (nchar(trimws(input$pseudonym)) > 0) {
.pw_wert = trimws(input$pseudonym)
.pw_tab = get("pseudo", envir = .GlobalEnv)
.pw_treffer = .pw_tab[.pw_tab$pseudonym == .pw_wert, ]
if (nrow(.pw_treffer) > 0) chiffre = toupper(trimws(.pw_treffer$chiffre[1]))
}; list(ok = TRUE) },
error = function(e) list(ok = FALSE, msg = e$message)
)
if (!res_ps$ok)
return(list(error = paste0("Fehler im Pseudonym-Skript: ", res_ps$msg)))
if (!exists("daten_ctq", envir = .GlobalEnv))
return(list(error = paste0(
"Objekt 'daten_ctq' nach dem Sourcen nicht gefunden. ",
"Bitte Download-Skript pruefen."
)))
if (!exists("pseudo", envir = .GlobalEnv))
return(list(error = paste0(
"Objekt 'pseudo' nach dem Sourcen nicht gefunden. ",
"Bitte Pseudonym-Skript pruefen."
)))
daten_ctq = get("daten_ctq", envir = .GlobalEnv)
pseudo_df = get("pseudo", envir = .GlobalEnv)
treffer_ps = pseudo_df[pseudo_df$chiffre == chiffre, ]
if (nrow(treffer_ps) == 0)
return(list(error = paste0(
"Chiffre '", chiffre, "' wurde in der Pseudonym-Datenbank nicht gefunden."
)))
alle_session_ids = unique(treffer_ps$pseudonym)
if (nchar(trimws(input$pseudonym)) > 0) alle_session_ids = trimws(input$pseudonym)
treffer_dat = daten_ctq[daten_ctq$session %in% alle_session_ids, ]
if (nrow(treffer_dat) == 0)
return(list(error = paste0(
"Kein CTQ-Datensatz fuer Chiffre '", chiffre, "' gefunden. ",
"(", length(alle_session_ids), " Pseudonym(e) geprueft)"
)))
info_mehrere = NULL
if (nrow(treffer_dat) > 1) {
n = nrow(treffer_dat)
treffer_dat = treffer_dat[order(treffer_dat$created, decreasing = TRUE), ]
datum_neu = tryCatch(
format(as.POSIXct(treffer_dat$created[1]), "%d.%m.%Y %H:%M"),
error = function(e) "unbekanntes Datum"
)
info_mehrere = paste0(
"Mehrere Ausfuellungen gefunden (", n, " Eintraege). ",
"Angezeigt wird die neueste vom ", datum_neu, "."
)
treffer_dat = treffer_dat[1, , drop = FALSE]
}
zeile = treffer_dat[1, , drop = FALSE]
datum_str = tryCatch(
format(as.POSIXct(zeile[["created"]][1]), "%d.%m.%Y"),
error = function(e) format(Sys.Date(), "%d.%m.%Y")
)
val_result = tryCatch(
{ ctq_validiere_labels(daten_ctq); list(ok = TRUE) },
error = function(e) list(ok = FALSE, msg = e$message)
)
if (!val_result$ok)
return(list(error = paste0("Label-Validierung fehlgeschlagen: ", val_result$msg)))
sk_erg = lapply(names(ctq_subskalen), function(sk_name) {
sk = ctq_subskalen[[sk_name]]
score = berechne_sk_score(sk_name, sk, zeile, daten_ctq)
klass = if (!isTRUE(sk$sonderkodierung)) {
ki = ctq_klassifikation[[sk_name]]
ctq_klassifiziere(score, ki$grenzen, ki$labels)
} else NA_character_
list(
name = sk_name,
label = sk$label,
score = score,
klass = klass,
n_items = length(sk$items),
sonderkodierung = isTRUE(sk$sonderkodierung)
)
})
names(sk_erg) = names(ctq_subskalen)
items_erg = lapply(1:28, function(nr) {
var = paste0("ctq_", sprintf("%02d", nr))
original_col = daten_ctq[[var]]
roh_wert = as.numeric(zeile[[var]][1])
sk_name = item_zu_skala[[as.character(nr)]]
list(
nr = nr,
var = var,
item_text = clean_item_label(attr(original_col, "label")),
anker_text = ctq_get_anker(original_col, zeile[[var]]),
rohwert = roh_wert,
sk_name = sk_name,
sk_label = if (!is.null(sk_name)) ctq_subskalen[[sk_name]]$label else NA_character_
)
})
list(
chiffre = chiffre,
ausfuelldatum = datum_str,
info_mehrere = info_mehrere,
sk_erg = sk_erg,
items_erg = items_erg,
error = NULL
)
})
output$fehler_ui = renderUI({
req(input$btn_suchen)
d = ergebnis_r()
if (!is.null(d$error)) div(class = "alert-fehler", d$error) else NULL
})
output$warnung_ui = renderUI({
req(input$btn_suchen)
d = ergebnis_r()
if (!is.null(d$error) || is.null(d$info_mehrere)) return(NULL)
div(class = "alert-warnung", d$info_mehrere)
})
output$ergebnis_ui = renderUI({
req(input$btn_suchen)
d = ergebnis_r()
if (!is.null(d$error)) return(NULL)
sk_karten = lapply(names(d$sk_erg), function(sk_name) {
sk_res = d$sk_erg[[sk_name]]
n_items = sk_res$n_items
x_min = if (sk_res$sonderkodierung) 0 else n_items
x_max = if (sk_res$sonderkodierung) 3 else n_items * 5
grenzen = if (!sk_res$sonderkodierung && !is.null(ctq_klassifikation[[sk_name]]))
ctq_klassifikation[[sk_name]]$grenzen else NULL
plot_id = paste0("gauge_", sk_name)
klass_badge_ui = if (!is.na(sk_res$klass)) {
span(class = paste0("klass-badge ", klass_css_klasse(sk_res$klass)), sk_res$klass)
} else NULL
titel_gauge = if (sk_res$sonderkodierung)
paste0(sk_res$label, " (Validitaetshinweis)")
else sk_res$label
div(class = "subskala-karte",
div(class = "subskala-titel",
sk_res$label,
if (sk_res$sonderkodierung)
tags$small(class = "item-01-hinweis", "(Validitaetshinweis, kein Belastungswert)")
),
div(
span(class = "subskala-score", sk_res$score),
if (!sk_res$sonderkodierung)
span(style = "color:#999; font-size:0.9rem; margin-left:4px;",
paste0("/ ", x_max))
else
span(style = "color:#999; font-size:0.9rem; margin-left:4px;", "/ 3"),
klass_badge_ui
),
plotOutput(plot_id, height = "130px")
)
})
items_ui = lapply(names(ctq_subskalen), function(sk_name) {
sk_label = ctq_subskalen[[sk_name]]$label
items_dieser_sk = Filter(function(it) {
!is.null(it$sk_name) && !is.na(it$sk_name) && it$sk_name == sk_name
}, d$items_erg)
item_zeilen = lapply(items_dieser_sk, function(it) {
roh = it$rohwert
roh_key = if (!is.na(roh) && roh >= 1 && roh <= 5)
as.character(as.integer(roh)) else "1"
anker_txt = if (!is.na(it$anker_text)) it$anker_text else paste0("Stufe ", roh)
item_txt = if (!is.na(it$item_text)) it$item_text else paste0("Item ", it$nr)
div(class = "item-zeile",
div(class = "item-nr", paste0(it$nr, ".")),
div(class = "item-text", item_txt),
span(class = paste0("stufe-badge stufe-badge-", roh_key), anker_txt)
)
})
tagList(
div(class = "sk-gruppe-titel", sk_label),
tagList(item_zeilen)
)
})
item1_data = Filter(function(it) it$nr == 1, d$items_erg)
item1_ui = if (length(item1_data) > 0) {
it = item1_data[[1]]
roh = it$rohwert
roh_key = if (!is.na(roh) && roh >= 1 && roh <= 5)
as.character(as.integer(roh)) else "1"
anker_txt = if (!is.na(it$anker_text)) it$anker_text else paste0("Stufe ", roh)
item_txt = if (!is.na(it$item_text)) it$item_text else "Item 1"
tagList(
div(class = "sk-gruppe-titel",
"Item 1",
tags$small(class = "item-01-hinweis", "(nicht in Subskalenbildung einbezogen)")
),
div(class = "item-zeile",
div(class = "item-nr", "1."),
div(class = "item-text", item_txt),
span(class = paste0("stufe-badge stufe-badge-", roh_key), anker_txt)
)
)
} else NULL
div(class = "abschnitt-karte",
div(class = "abschnitt-titel", "CTQ – Childhood Trauma Questionnaire"),
div(class = "meta-block",
tags$strong("Chiffre: "), d$chiffre,
tags$span(" | ", style = "color:#ccc;"),
tags$strong("Ausfuelldatum: "), d$ausfuelldatum
),
tags$hr(),
tags$h5("Subskalen-Scores"),
fluidRow(
column(6, sk_karten[[1]]),
column(6, sk_karten[[2]])
),
fluidRow(
column(6, sk_karten[[3]]),
column(6, sk_karten[[4]])
),
fluidRow(
column(6, offset = 3, sk_karten[[5]])
),
tags$hr(),
div(class = "disclaimer-box",
tags$strong("Hinweis zur Klassifikation: "),
paste0(
"Die Einstufungen (None/Low/Moderate/Severe) entstammen ausschliesslich dem ",
"amerikanischen CTQ-Manual (Bernstein & Fink, 1998). ",
"Fuer die deutsche Fassung liegt keine eigene Norm vor. ",
"Vollstaendiger Hinweis am Ende des Word-Exports."
)
),
tags$hr(),
tags$h5("Einzelitems"),
div(items_ui),
item1_ui
)
})
local({
sk_names = names(ctq_subskalen)
for (sk_name in sk_names) {
local({
sn = sk_name
plot_id = paste0("gauge_", sn)
output[[plot_id]] = renderPlot({
req(input$btn_suchen)
d = ergebnis_r()
req(is.null(d$error))
sk_res = d$sk_erg[[sn]]
sk_def = ctq_subskalen[[sn]]
n_items = length(sk_def$items)
x_min = if (isTRUE(sk_def$sonderkodierung)) 0 else n_items
x_max = if (isTRUE(sk_def$sonderkodierung)) 3 else n_items * 5
grenzen = if (!isTRUE(sk_def$sonderkodierung))
ctq_klassifikation[[sn]]$grenzen else NULL
titel = if (isTRUE(sk_def$sonderkodierung))
paste0(sk_def$label, " (Validitaetshinweis)") else sk_def$label
make_ctq_gauge(sk_res$score, x_min, x_max, titel, grenzen)
}, bg = "transparent")
})
}
})
output$download_word = downloadHandler(
filename = function() {
d = tryCatch(ergebnis_r(), error = function(e) NULL)
chiffre_fn = if (is.list(d) && is.null(d$error) && nchar(d$chiffre) > 0)
gsub("[^A-Za-z0-9]", "", d$chiffre) else "export"
ausfuelldatum_fn = if (is.list(d) && is.null(d$error) && !is.null(d$ausfuelldatum))
tryCatch(
format(as.Date(d$ausfuelldatum, "%d.%m.%Y"), "%Y%m%d"),
error = function(e) format(Sys.Date(), "%Y%m%d")
)
else
format(Sys.Date(), "%Y%m%d")
paste0("CTQ_", chiffre_fn, "_", ausfuelldatum_fn, ".docx")
},
content = function(file) {
d = tryCatch(ergebnis_r(), error = function(e) NULL)
daten_ok = is.list(d) && is.null(d$error)
if (!daten_ok) {
doc = read_docx()
doc = body_add_par(doc,
"Kein Datensatz geladen. Bitte zuerst Chiffre eingeben und 'Auswerten' klicken.",
style = "Normal")
print(doc, target = file)
return()
}
doc = tryCatch(
erstelle_ctq_docx(d),
error = function(e) {
err_doc = read_docx()
body_add_par(err_doc,
paste0("Fehler beim Erstellen des Word-Dokuments: ", e$message),
style = "Normal")
}
)
print(doc, target = file)
}
)
}
# Start ####
shinyApp(ui, server)

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