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ASF/app.R
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ASF/app.R
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# Präambel ####
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library(shiny)
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library(dplyr)
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library(ggplot2)
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library(haven)
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library(officer)
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ASF_ANTWORTANKER = c(
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"trifft gar nicht zu", "trifft kaum zu", "trifft mittelmäßig zu",
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"trifft ziemlich stark zu", "trifft sehr stark zu"
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)
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ASF_DISCLAIMER = paste0(
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"Diese Auswertung ist ein Hilfsmittel fuer klinisches Fachpersonal und ersetzt ",
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"keine klinische Diagnose. Die Perzentilraenge beziehen sich auf die Referenzstichprobe ",
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"der Klinik fuer Psychosomatik der RWTH Aachen (N=970). Die Interpretation obliegt der ",
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"behandelnden Person."
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)
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ASF_KONTEXT_ANGST = paste0(
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"Zur inhaltlichen Einordnung: In einer Zusatzstichprobe von Angstpatient:innen lag der ",
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"ASF-Gesamtmittelwert bei M = 3.01 (Wälte & Kröger, 2000). Dieser Wert dient ausschließlich ",
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"als Kontextinformation, nicht als klinischer Vergleichsmaßstab oder Cutoff."
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)
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# Gleiche Farbpalette wie im pg13r-Stufenbadge (gruen -> dunkelrot), aber umgekehrt
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# zugeordnet: hoeherer ASF-Wert = hoehere Selbstwirksamkeit = gruen statt rot.
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ASF_BADGE_FARBEN = c(
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"1" = "#4A0000",
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"2" = "#B71C1C",
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"3" = "#EF5350",
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"4" = "#F48FB1",
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"5" = "#4CAF50"
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)
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ASF_BADGE_TEXT_FARBEN = c(
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"1" = "white",
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"2" = "white",
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"3" = "white",
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"4" = "#333333",
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"5" = "white"
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)
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ASF_BADGE_WORD_FARBEN = list(
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"1" = list(bg = "#4A0000", text = "white"),
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"2" = list(bg = "#B71C1C", text = "white"),
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"3" = list(bg = "#EF5350", text = "white"),
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"4" = list(bg = "#F48FB1", text = "#333333"),
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"5" = list(bg = "#4CAF50", text = "white")
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)
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# Infrastruktur ####
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_asf.R" # liefert beim Sourcen: daten_asf
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R" # liefert beim Sourcen: pseudo
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AKZENT_FARBE = "#8B2635"
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APP_VERZEICHNIS = normalizePath(getwd())
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absPath = function(pfad) {
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if (grepl("^([A-Za-z]:[/\\\\]|/)", pfad)) return(pfad)
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file.path(APP_VERZEICHNIS, pfad)
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}
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PFAD_DOWNLOAD_SKRIPT = normalizePath(absPath(PFAD_DOWNLOAD_SKRIPT), mustWork = FALSE)
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PFAD_PSEUDONYM_SKRIPT = normalizePath(absPath(PFAD_PSEUDONYM_SKRIPT), mustWork = FALSE)
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# Helper ####
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# labels-Attribut der ORIGINAL-Spalte (vor Subsetting) lesen, damit
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# die Zuordnung Ankertext -> Zahl immer aus den Daten selbst stammt,
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# nicht aus einer angenommenen Rohzahl.
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asf_resolve_wert = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_real_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) > 0) return(as.numeric(lbl_attr[pos[1]]))
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}
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as.numeric(wert[1])
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}
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asf_get_anker_text = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) > 0) return(names(lbl_attr)[pos[1]])
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}
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stufe = as.integer(round(as.numeric(wert[1])))
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if (is.na(stufe) || stufe < 1L || stufe > 5L) return(NA_character_)
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ASF_ANTWORTANKER[stufe]
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}
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# Entfernt formr-/Markdown-Nummerierungsartefakte am Anfang des Itemtexts
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# (z.B. "1. ", "01) ", "**1.** "), die im label-Attribut erscheinen koennen.
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clean_item_label = function(text) {
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if (is.null(text) || length(text) == 0 || is.na(text[1])) return(NA_character_)
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txt = trimws(as.character(text[1]))
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txt = sub("^[0-9.)*\\s]+", "", txt)
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trimws(txt)
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}
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# Rundet den aufgeloesten Itemwert auf die naechste Antwortstufe 1-5
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# fuer die Badge-Einfaerbung. Ausserhalb des Bereichs -> NA (keine Badge-Farbe).
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asf_badge_stufe = function(wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert)) return(NA_integer_)
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stufe = as.integer(round(as.numeric(wert)))
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if (stufe < 1L || stufe > 5L) return(NA_integer_)
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stufe
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}
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# Findet die erste Zeile der Tabelle, in der wert zwischen von und bis liegt.
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# Randfaelle: unterster Bereich beginnt bei 1.00, oberster endet bei 5.00.
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# Kein passendes Intervall (sollte bei Range 1-5 nicht vorkommen) -> NA.
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asf_perzentil = function(wert, spalte_von, spalte_bis, tabelle) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert)) return(NA_real_)
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von = tabelle[[spalte_von]]
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bis = tabelle[[spalte_bis]]
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treffer = which(wert >= von & wert <= bis)
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if (length(treffer) == 0) return(NA_real_)
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tabelle$perzentil[treffer[1]]
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}
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make_gauge_asf = function(wert, perzentil, titel) {
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perz_label = if (is.na(perzentil)) "außerhalb der Tabelle" else paste0("Perzentil ", perzentil)
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ggplot() +
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geom_rect(aes(xmin = 1, xmax = 5, ymin = 0, ymax = 1),
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fill = "#F5F5F5", color = "#9E9E9E", linewidth = 0.6) +
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geom_segment(aes(x = wert, xend = wert, y = -0.25, yend = 1.25),
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color = AKZENT_FARBE, linewidth = 2.5) +
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geom_label(aes(x = wert, y = 1.6, label = sprintf("%.2f", wert)),
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fill = AKZENT_FARBE, color = "white", fontface = "bold",
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linewidth = 0, size = 4) +
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annotate("text", x = 3, y = -0.55, label = perz_label,
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color = "#555555", size = 3.4) +
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scale_x_continuous(limits = c(0.6, 5.4), breaks = 1:5) +
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scale_y_continuous(limits = c(-0.8, 2.0)) +
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theme_minimal(base_size = 12) +
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theme(
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axis.text.y = element_blank(),
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axis.ticks.y = element_blank(),
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panel.grid.major.y = element_blank(),
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panel.grid.minor = element_blank(),
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axis.title.y = element_blank(),
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plot.margin = margin(t = 5, r = 10, b = 5, l = 10)
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) +
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labs(x = paste0(titel, " (1 = niedrig, 5 = hoch)"), y = NULL)
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}
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# Datenaufbereitung ####
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perzentil_tabelle = data.frame(
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perzentil = seq(10, 100, by = 10),
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asf_gesamt_von = c(1.00, 2.33, 2.69, 2.90, 3.06, 3.22, 3.40, 3.56, 3.75, 3.96),
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asf_gesamt_bis = c(2.32, 2.68, 2.89, 3.05, 3.21, 3.39, 3.55, 3.74, 3.95, 5.00),
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asf_1_von = c(1.0, 1.9, 2.6, 2.9, 3.1, 3.4, 3.6, 3.8, 4.0, 4.4),
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asf_1_bis = c(1.8, 2.5, 2.8, 3.0, 3.3, 3.5, 3.7, 3.9, 4.3, 5.0),
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asf_2_von = c(1.0, 2.3, 2.8, 3.0, 3.2, 3.4, 3.6, 3.8, 4.0, 4.4),
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asf_2_bis = c(2.2, 2.7, 2.9, 3.1, 3.3, 3.5, 3.7, 3.9, 4.3, 5.0),
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asf_3_von = c(1.0, 1.8, 2.1, 2.4, 2.6, 2.9, 3.1, 3.3, 3.6, 3.9),
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asf_3_bis = c(1.7, 2.0, 2.3, 2.5, 2.8, 3.0, 3.2, 3.5, 3.8, 5.0)
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)
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ASF_SKALEN_ITEMS = list(
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skala_1 = c(3, 5, 8, 11, 15),
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skala_2 = c(10, 13, 14, 17, 19),
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skala_3 = c(2, 4, 9, 16, 18)
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)
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ASF_SKALEN_LABEL = c(
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gesamt = "ASF Gesamtwert",
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skala_1 = "Arbeit / Leistung",
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skala_2 = "Interaktion",
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skala_3 = "Körper / Gesundheit"
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)
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# UI ####
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app_css = "
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body { font-family: 'Segoe UI', Arial, sans-serif; background: #f5f5f5; }
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.app-header {
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background: #8B2635; color: white; padding: 18px 24px 14px;
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margin-bottom: 20px; border-radius: 0 0 6px 6px;
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}
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.app-header h2 { margin: 0; font-size: 1.5rem; font-weight: 600; }
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.app-header p { margin: 4px 0 0; opacity: 0.85; font-size: 0.9rem; }
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.input-panel {
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background: white; border-radius: 6px; padding: 16px 20px;
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margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
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display: flex; align-items: flex-end; gap: 12px; flex-wrap: wrap;
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}
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.input-panel .form-group { margin-bottom: 0; }
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.input-panel label { font-weight: 600; color: #333; }
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.btn-laden {
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background: #8B2635 !important; color: white !important;
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border: none !important; border-radius: 4px !important;
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padding: 8px 20px !important; font-weight: 600 !important; cursor: pointer;
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}
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.btn-laden:hover { background: #6d1e29 !important; }
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.alert-fehler {
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background: #FFEBEE; border-left: 5px solid #C62828;
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padding: 12px 16px; border-radius: 4px; color: #B71C1C;
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margin-bottom: 12px; font-weight: 500;
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}
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.alert-warnung {
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background: #FFF3E0; border-left: 5px solid #E65100;
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padding: 10px 16px; border-radius: 4px; color: #BF360C;
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margin-bottom: 12px; font-size: 0.93em; font-weight: 500;
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}
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.abschnitt-karte {
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background: white; border-radius: 6px; padding: 20px 24px;
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margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
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}
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.abschnitt-titel {
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color: #8B2635; font-size: 1.15rem; font-weight: 700;
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border-bottom: 2px solid #8B2635; padding-bottom: 8px; margin-bottom: 14px;
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}
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.meta-block { margin-bottom: 10px; color: #555; font-size: 0.95em; }
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.meta-block strong { color: #222; }
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.hinweis-zeile {
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color: #555; font-size: 0.88em; font-style: italic; margin: 4px 0 14px;
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}
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.kontext-hinweis {
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background: #FAFAFA; border-left: 4px solid #BDBDBD;
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padding: 10px 14px; border-radius: 4px; color: #555;
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font-size: 0.88em; margin-top: 14px;
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}
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.wert-block { margin-bottom: 8px; }
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.wert-titel { font-weight: 700; color: #333; margin-bottom: 4px; }
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.wert-zahl { font-size: 1.9rem; font-weight: 800; color: #8B2635; }
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.wert-skala { color: #555; font-size: 0.85em; }
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.wert-perzentil {
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display: inline-block; margin-top: 4px; font-weight: 600;
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color: #555; font-size: 0.9em;
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}
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.item-zeile {
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display: flex; align-items: flex-start; gap: 10px;
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padding: 7px 0; border-bottom: 1px solid #F0F0F0;
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}
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.item-nr { font-weight: 600; color: #8B2635; min-width: 26px; flex-shrink: 0; }
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.item-text { flex: 1; color: #333; font-size: 0.92em; }
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.antwort-badge {
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border-radius: 4px; padding: 2px 9px; font-weight: 700;
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font-size: 0.82em; white-space: nowrap; display: inline-block; flex-shrink: 0;
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}
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.antwort-badge-1 { background: #4A0000; color: white; }
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.antwort-badge-2 { background: #B71C1C; color: white; }
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.antwort-badge-3 { background: #EF5350; color: white; }
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.antwort-badge-4 { background: #F48FB1; color: #333333; }
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.antwort-badge-5 { background: #4CAF50; color: white; }
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.antwort-badge-na { background: #E0E0E0; color: #555555; }
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"
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app_css = gsub("#8B2635", AKZENT_FARBE, app_css, fixed = TRUE)
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ui = fluidPage(
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tags$head(
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tags$meta(charset = "UTF-8"),
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tags$style(HTML(app_css))
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),
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div(class = "app-header",
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tags$h2("ASF – Aachener Selbstwirksamkeitsfragebogen"),
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tags$p("Wälte & Kröger 2000")
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),
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div(class = "container-fluid",
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div(class = "input-panel",
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div(style = "min-width: 360px; white-space: nowrap;",
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textInput("pseudonym",
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label = tagList(
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"Pseudonym",
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tags$span(style = "font-weight: normal; font-style: italic; font-size: 0.78em; color: #888; margin-left: 4px; white-space: nowrap;",
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"optional, hat Vorrang vor Chiffre")
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),
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placeholder = "optional", width = "340px")
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),
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div(style = "min-width: 200px;",
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textInput("chiffre", label = "Patientenchiffre",
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placeholder = "z.B. P000123", width = "100%")
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),
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actionButton("btn_suchen", "Auswerten", class = "btn btn-primary btn-laden"),
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div(style = "margin-left: auto;",
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downloadButton("download_word", "Word-Export (.docx)")
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)
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),
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uiOutput("fehler_ui"),
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uiOutput("warnung_ui"),
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uiOutput("ergebnis_ui")
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)
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)
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# Word-Export ####
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erstelle_asf_docx = function(erg) {
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doc = read_docx()
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fp_titel = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 18)
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fp_abschnitt = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 13)
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fp_label = fp_text(bold = TRUE, font.size = 11)
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fp_normal = fp_text(font.size = 11)
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fp_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
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doc = body_add_fpar(doc, fpar(ftext("ASF – Aachener Selbstwirksamkeitsfragebogen", fp_titel)))
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doc = body_add_fpar(doc, fpar(
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ftext("Chiffre: ", fp_label),
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ftext(erg$chiffre, fp_normal),
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ftext(" Ausfülldatum: ", fp_label),
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ftext(erg$datum_str, fp_normal)
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))
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if (!is.null(erg$info_mehrere)) {
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doc = body_add_fpar(doc, fpar(
|
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ftext(erg$info_mehrere,
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fp_text(font.size = 10, italic = TRUE, color = "#555555"))
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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doc = body_add_fpar(doc, fpar(ftext("Auswertung", fp_abschnitt)))
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doc = body_add_fpar(doc, fpar(
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ftext("Höherer Wert = höhere Selbstwirksamkeit. Kein klinischer Cutoff, ",
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fp_text(font.size = 9, italic = TRUE, color = "#777777")),
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ftext("es handelt sich um Perzentilraenge relativ zur Referenzstichprobe.",
|
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fp_text(font.size = 9, italic = TRUE, color = "#777777"))
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))
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doc = body_add_par(doc, "", style = "Normal")
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for (sk in names(erg$werte)) {
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perz = erg$perzentile[[sk]]
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perz_txt = if (is.na(perz)) "außerhalb der Tabelle" else paste0("Perzentil ", perz)
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doc = body_add_fpar(doc, fpar(
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ftext(paste0(ASF_SKALEN_LABEL[[sk]], ": "), fp_label),
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ftext(sprintf("%.2f", erg$werte[[sk]]), fp_normal),
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ftext(paste0(" (", perz_txt, ")"), fp_normal)
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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||||
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doc = body_add_fpar(doc, fpar(ftext(ASF_KONTEXT_ANGST,
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fp_text(font.size = 9, italic = TRUE, color = "#777777"))))
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doc = body_add_par(doc, "", style = "Normal")
|
||||
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doc = body_add_fpar(doc, fpar(ftext("ASF Einzelitems", fp_abschnitt)))
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for (i in seq_len(20)) {
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item_txt = if (!is.na(erg$item_texte[i])) erg$item_texte[i] else paste0("Item ", i)
|
||||
anker_txt = if (!is.na(erg$anker_texte[i])) erg$anker_texte[i] else "k. A."
|
||||
stufe = asf_badge_stufe(erg$item_werte[i])
|
||||
badge_farbe = if (is.na(stufe)) list(bg = "#E0E0E0", text = "#555555") else
|
||||
ASF_BADGE_WORD_FARBEN[[as.character(stufe)]]
|
||||
fp_badge = fp_text(
|
||||
color = badge_farbe$text,
|
||||
bold = TRUE,
|
||||
shading.color = badge_farbe$bg,
|
||||
font.size = 10
|
||||
)
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext(paste0(i, ". ", item_txt, " "), fp_normal),
|
||||
ftext(paste0(" ", anker_txt, " "), fp_badge)
|
||||
))
|
||||
}
|
||||
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
doc = body_add_fpar(doc, fpar(ftext(ASF_DISCLAIMER, fp_disclaimer)))
|
||||
|
||||
doc
|
||||
}
|
||||
|
||||
|
||||
# Server ####
|
||||
|
||||
server = function(input, output, session) {
|
||||
observe({
|
||||
query = parseQueryString(session$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(typ = "leere_eingabe", meldung = "Bitte Chiffre oder Pseudonym eingeben."))
|
||||
}
|
||||
if (nchar(trimws(input$pseudonym)) == 0 && !grepl("^[A-Z][0-9]{6}$", chiffre)) {
|
||||
return(list(typ = "format_fehler", chiffre = chiffre))
|
||||
}
|
||||
|
||||
if (!file.exists(PFAD_DOWNLOAD_SKRIPT))
|
||||
return(list(typ = "skript_fehler", meldung = paste0(
|
||||
"Download-Skript nicht gefunden:\n", PFAD_DOWNLOAD_SKRIPT)))
|
||||
if (!file.exists(PFAD_PSEUDONYM_SKRIPT))
|
||||
return(list(typ = "skript_fehler", meldung = paste0(
|
||||
"Pseudonym-Skript nicht gefunden:\n", PFAD_PSEUDONYM_SKRIPT)))
|
||||
|
||||
ok = tryCatch({
|
||||
source(PFAD_DOWNLOAD_SKRIPT, local = FALSE)
|
||||
list(ok = TRUE)
|
||||
}, error = function(e) list(ok = FALSE, msg = e$message))
|
||||
if (!ok$ok) return(list(typ = "skript_fehler", meldung = paste0(
|
||||
"Fehler im Download-Skript: ", ok$msg)))
|
||||
|
||||
db_ordner = local({
|
||||
ordner = dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
||||
gefunden = NULL
|
||||
for (i in 1:5) {
|
||||
if (file.exists(file.path(ordner, "pseudonyme.db"))) {
|
||||
gefunden = ordner
|
||||
break
|
||||
}
|
||||
elternteil = dirname(ordner)
|
||||
if (elternteil == ordner) break
|
||||
ordner = elternteil
|
||||
}
|
||||
gefunden
|
||||
})
|
||||
|
||||
alter_wd = getwd()
|
||||
wd_ziel = if (!is.null(db_ordner)) db_ordner else
|
||||
dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
||||
setwd(wd_ziel)
|
||||
on.exit(setwd(alter_wd), add = TRUE)
|
||||
|
||||
ok_ps = tryCatch({
|
||||
source(PFAD_PSEUDONYM_SKRIPT, local = FALSE)
|
||||
list(ok = TRUE)
|
||||
}, error = function(e) list(ok = FALSE, msg = e$message))
|
||||
if (!ok_ps$ok) return(list(typ = "skript_fehler", meldung = paste0(
|
||||
"Fehler im Pseudonym-Skript: ", ok_ps$msg)))
|
||||
|
||||
if (!exists("daten_asf", envir = .GlobalEnv))
|
||||
return(list(typ = "skript_fehler", meldung = paste0(
|
||||
"Objekt 'daten_asf' nach dem Sourcen nicht gefunden. Bitte Download-Skript prüfen.")))
|
||||
if (!exists("pseudo", envir = .GlobalEnv))
|
||||
return(list(typ = "skript_fehler", meldung = paste0(
|
||||
"Objekt 'pseudo' nach dem Sourcen nicht gefunden. Bitte Pseudonym-Skript prüfen.")))
|
||||
|
||||
daten = get("daten_asf", envir = .GlobalEnv)
|
||||
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
||||
|
||||
if (nchar(trimws(input$pseudonym)) > 0) {
|
||||
pw_wert = trimws(input$pseudonym)
|
||||
pw_treffer = pseudo_df[pseudo_df$pseudonym == pw_wert, ]
|
||||
if (nrow(pw_treffer) == 0)
|
||||
return(list(typ = "kein_treffer", meldung = paste0(
|
||||
"Pseudonym '", pw_wert, "' wurde in der Pseudonym-Datenbank nicht gefunden.")))
|
||||
chiffre = toupper(trimws(pw_treffer$chiffre[1]))
|
||||
}
|
||||
|
||||
treffer_ps = pseudo_df[pseudo_df$chiffre == chiffre, ]
|
||||
if (nrow(treffer_ps) == 0)
|
||||
return(list(typ = "kein_treffer", meldung = paste0(
|
||||
"Chiffre '", chiffre, "' wurde in der Pseudonym-Datenbank nicht gefunden.")))
|
||||
|
||||
alle_session_ids = unique(treffer_ps$pseudonym)
|
||||
if (nchar(trimws(input$pseudonym)) > 0) alle_session_ids = trimws(input$pseudonym)
|
||||
|
||||
treffer_dat = daten[daten$session %in% alle_session_ids, ]
|
||||
if (nrow(treffer_dat) == 0)
|
||||
return(list(typ = "kein_treffer", meldung = paste0(
|
||||
"Kein ASF-Datensatz für Chiffre '", chiffre, "' gefunden. (",
|
||||
length(alle_session_ids), " Pseudonym(e) geprüft)")))
|
||||
|
||||
info_mehrere = NULL
|
||||
if (nrow(treffer_dat) > 1) {
|
||||
n = nrow(treffer_dat)
|
||||
treffer_dat = treffer_dat[order(treffer_dat$created, decreasing = TRUE), ]
|
||||
datum_neu = tryCatch(
|
||||
format(as.POSIXct(treffer_dat$created[1]), "%d.%m.%Y %H:%M"),
|
||||
error = function(e) "unbekanntes Datum"
|
||||
)
|
||||
info_mehrere = paste0(
|
||||
"Mehrere Ausfüllungen gefunden (", n, " Einträge). ",
|
||||
"Angezeigt wird die neueste vom ", datum_neu, "."
|
||||
)
|
||||
treffer_dat = treffer_dat[1, , drop = FALSE]
|
||||
}
|
||||
|
||||
zeile = treffer_dat[1, , drop = FALSE]
|
||||
datum_str = tryCatch(
|
||||
format(as.POSIXct(zeile[["created"]][1]), "%d.%m.%Y"),
|
||||
error = function(e) format(Sys.Date(), "%d.%m.%Y")
|
||||
)
|
||||
|
||||
item_vars = paste0("asf_", sprintf("%02d", seq_len(20)))
|
||||
|
||||
item_werte = sapply(item_vars, function(var) {
|
||||
asf_resolve_wert(daten[[var]], zeile[[var]])
|
||||
})
|
||||
item_texte = sapply(item_vars, function(var) {
|
||||
clean_item_label(attr(daten[[var]], "label"))
|
||||
})
|
||||
anker_texte = sapply(item_vars, function(var) {
|
||||
asf_get_anker_text(daten[[var]], zeile[[var]])
|
||||
})
|
||||
|
||||
bereichs_warnungen = character(0)
|
||||
for (i in seq_len(20)) {
|
||||
w = item_werte[i]
|
||||
if (!is.na(w) && (w < 1 || w > 5)) {
|
||||
bereichs_warnungen = c(bereichs_warnungen, paste0(
|
||||
"Item asf_", sprintf("%02d", i), " hat einen Wert außerhalb des erwarteten ",
|
||||
"Bereichs (1-5): ", w
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
asf_gesamt = round(sum(item_werte) / 20, 2)
|
||||
asf_1 = round(sum(item_werte[ASF_SKALEN_ITEMS$skala_1]) / 5, 2)
|
||||
asf_2 = round(sum(item_werte[ASF_SKALEN_ITEMS$skala_2]) / 5, 2)
|
||||
asf_3 = round(sum(item_werte[ASF_SKALEN_ITEMS$skala_3]) / 5, 2)
|
||||
|
||||
werte = list(gesamt = asf_gesamt, skala_1 = asf_1, skala_2 = asf_2, skala_3 = asf_3)
|
||||
|
||||
perzentile = list(
|
||||
gesamt = asf_perzentil(asf_gesamt, "asf_gesamt_von", "asf_gesamt_bis", perzentil_tabelle),
|
||||
skala_1 = asf_perzentil(asf_1, "asf_1_von", "asf_1_bis", perzentil_tabelle),
|
||||
skala_2 = asf_perzentil(asf_2, "asf_2_von", "asf_2_bis", perzentil_tabelle),
|
||||
skala_3 = asf_perzentil(asf_3, "asf_3_von", "asf_3_bis", perzentil_tabelle)
|
||||
)
|
||||
|
||||
warnungen = c(bereichs_warnungen)
|
||||
if (length(warnungen) == 0) warnungen = NULL
|
||||
|
||||
list(
|
||||
typ = "erfolg",
|
||||
chiffre = chiffre,
|
||||
datum_str = datum_str,
|
||||
info_mehrere = info_mehrere,
|
||||
werte = werte,
|
||||
perzentile = perzentile,
|
||||
item_werte = unname(item_werte),
|
||||
item_texte = unname(item_texte),
|
||||
anker_texte = unname(anker_texte),
|
||||
warnungen = warnungen
|
||||
)
|
||||
})
|
||||
|
||||
output$fehler_ui = renderUI({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
meldung = switch(d$typ,
|
||||
"leere_eingabe" = d$meldung,
|
||||
"format_fehler" = paste0(
|
||||
"Ungültige Chiffre '", d$chiffre, "'. Erwartet: ein Großbuchstabe gefolgt von ",
|
||||
"6 Ziffern (z. B. P000123)."),
|
||||
"skript_fehler" = d$meldung,
|
||||
"kein_treffer" = d$meldung,
|
||||
NULL
|
||||
)
|
||||
if (!is.null(meldung)) div(class = "alert-fehler", meldung)
|
||||
})
|
||||
|
||||
output$warnung_ui = renderUI({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
if (d$typ != "erfolg") return(NULL)
|
||||
texte = c(d$info_mehrere, d$warnungen)
|
||||
if (length(texte) == 0) return(NULL)
|
||||
div(lapply(texte, function(t) div(class = "alert-warnung", t)))
|
||||
})
|
||||
|
||||
output$ergebnis_ui = renderUI({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
if (d$typ != "erfolg") return(NULL)
|
||||
|
||||
items_ui = lapply(seq_len(20), function(i) {
|
||||
item_txt = if (!is.na(d$item_texte[i])) d$item_texte[i] else paste0("Item ", i)
|
||||
anker_txt = if (!is.na(d$anker_texte[i])) d$anker_texte[i] else "k. A."
|
||||
stufe = asf_badge_stufe(d$item_werte[i])
|
||||
badge_kl = if (is.na(stufe)) "antwort-badge-na" else paste0("antwort-badge-", stufe)
|
||||
div(class = "item-zeile",
|
||||
div(class = "item-nr", paste0(i, ".")),
|
||||
div(class = "item-text", item_txt),
|
||||
span(class = paste0("antwort-badge ", badge_kl), anker_txt)
|
||||
)
|
||||
})
|
||||
|
||||
skalen_ui = lapply(names(d$werte), function(sk) {
|
||||
perz = d$perzentile[[sk]]
|
||||
perz_txt = if (is.na(perz)) "außerhalb der Tabelle" else paste0("Perzentil ", perz)
|
||||
fluidRow(
|
||||
column(3,
|
||||
div(class = "wert-block",
|
||||
div(class = "wert-titel", ASF_SKALEN_LABEL[[sk]]),
|
||||
div(class = "wert-zahl", sprintf("%.2f", d$werte[[sk]])),
|
||||
div(class = "wert-skala", "Range 1-5"),
|
||||
div(class = "wert-perzentil", perz_txt)
|
||||
)
|
||||
),
|
||||
column(9, plotOutput(paste0("gauge_", sk), height = "140px"))
|
||||
)
|
||||
})
|
||||
|
||||
div(class = "abschnitt-karte",
|
||||
div(class = "abschnitt-titel", "ASF – Aachener Selbstwirksamkeitsfragebogen"),
|
||||
|
||||
div(class = "meta-block",
|
||||
tags$strong("Chiffre: "), d$chiffre,
|
||||
tags$span(" | ", style = "color:#ccc;"),
|
||||
tags$strong("Ausfülldatum: "), d$datum_str
|
||||
),
|
||||
div(class = "hinweis-zeile",
|
||||
"Höherer Wert = höhere Selbstwirksamkeit. Kein klinischer Cutoff – ",
|
||||
"angegeben wird der Perzentilrang relativ zur Referenzstichprobe."
|
||||
),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
div(skalen_ui),
|
||||
|
||||
div(class = "kontext-hinweis", ASF_KONTEXT_ANGST),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
tags$h5("ASF Einzelitems"),
|
||||
div(items_ui)
|
||||
)
|
||||
})
|
||||
|
||||
output$gauge_gesamt = renderPlot({
|
||||
req(input$btn_suchen); d = ergebnis_r(); req(d$typ == "erfolg")
|
||||
make_gauge_asf(d$werte$gesamt, d$perzentile$gesamt, ASF_SKALEN_LABEL[["gesamt"]])
|
||||
}, bg = "transparent")
|
||||
output$gauge_skala_1 = renderPlot({
|
||||
req(input$btn_suchen); d = ergebnis_r(); req(d$typ == "erfolg")
|
||||
make_gauge_asf(d$werte$skala_1, d$perzentile$skala_1, ASF_SKALEN_LABEL[["skala_1"]])
|
||||
}, bg = "transparent")
|
||||
output$gauge_skala_2 = renderPlot({
|
||||
req(input$btn_suchen); d = ergebnis_r(); req(d$typ == "erfolg")
|
||||
make_gauge_asf(d$werte$skala_2, d$perzentile$skala_2, ASF_SKALEN_LABEL[["skala_2"]])
|
||||
}, bg = "transparent")
|
||||
output$gauge_skala_3 = renderPlot({
|
||||
req(input$btn_suchen); d = ergebnis_r(); req(d$typ == "erfolg")
|
||||
make_gauge_asf(d$werte$skala_3, d$perzentile$skala_3, ASF_SKALEN_LABEL[["skala_3"]])
|
||||
}, bg = "transparent")
|
||||
|
||||
output$download_word = downloadHandler(
|
||||
filename = function() {
|
||||
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||||
daten_ok = is.list(d) && identical(d$typ, "erfolg")
|
||||
chiffre_esc = if (daten_ok) gsub("[^A-Za-z0-9]", "_", d$chiffre) else "export"
|
||||
datum_fn = if (daten_ok)
|
||||
tryCatch(format(as.Date(d$datum_str, "%d.%m.%Y"), "%Y%m%d"),
|
||||
error = function(e) format(Sys.Date(), "%Y%m%d"))
|
||||
else
|
||||
format(Sys.Date(), "%Y%m%d")
|
||||
paste0("ASF_", chiffre_esc, "_", datum_fn, ".docx")
|
||||
},
|
||||
content = function(file) {
|
||||
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||||
daten_ok = is.list(d) && identical(d$typ, "erfolg")
|
||||
if (!daten_ok) {
|
||||
doc = read_docx()
|
||||
doc = body_add_par(doc,
|
||||
"Kein Datensatz geladen. Bitte zuerst Chiffre oder Pseudonym eingeben und 'Auswerten' klicken.",
|
||||
style = "Normal")
|
||||
print(doc, target = file)
|
||||
return()
|
||||
}
|
||||
doc = tryCatch(
|
||||
erstelle_asf_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)
|
||||
Loading…
Add table
Add a link
Reference in a new issue