Get formatted flextable of response rates for the Verlaufsbefragung
Source:R/rub_tables.R
rub_table_vb.RdGet formatted flextable of response rates for the Verlaufsbefragung
Arguments
- df
Data frame
- typology
Data frame with flextable typology
- headings
Character vectors of headings
- padding
Integer, padding in pts (points) passed to
flextable::padding()
Examples
# Create example data
studienverlauf <- data.frame(
stringsAsFactors = FALSE,
studienverlauf = c("Geschlecht","weiblich",
"m\u00E4nnlich","Abschlussart","Bachelor 1-Fach",
"Bachelor 2-F\u00E4cher","Staatsexamen","Magister Theologiae",
"Master 1-Fach","Master 2-F\u00E4cher",
"Master of Education","F\u00E4chergruppe (erstes Studienfach)",
"Geisteswissenschaften",
"Humanmedizin / Gesundheitswissenschaften","Ingenieurwissenschaften",
"Kunst, Kunstwissenschaft","Mathematik, Naturwissenschaften",
"Rechts-, Wirtschafts-, Sozialwissenschaften","Sport",
"Gesamtzahl angeschriebene Studierende / g\u00FCltige Frageb\u00F6gen",
"R\u00FCcklaufquote Studienverlaufsbefragungen"),
koepfe_2fs_rub = c(NA,"1.597","1.576",NA,
NA,NA,NA,NA,"2.590","99","484",NA,"733",NA,
"776","40","718","805","101","3.173","38%"),
koepfe_2fs_rub_perc = c(NA,"50%","50%",NA,NA,
NA,NA,NA,"82%","3,1%","15%",NA,"23%",NA,
"24%","1,3%","23%","25%","3,2%","100%","38%"),
koepfe_2fs_bef = c(NA,"652","561",NA,NA,
NA,NA,NA,"964","49","200",NA,"278",NA,"281",
"18","320","278","38","1.213","38%"),
koepfe_2fs_bef_perc = c(NA,"54%","46%",NA,NA,
NA,NA,NA,"79%","4,0%","16%",NA,"23%",NA,
"23%","1,5%","26%","23%","3,1%","100%","38%"),
koepfe_5fs_rub = c(NA,"5.720","5.785",NA,
"6.010","3.320","2.102","73",NA,NA,NA,NA,
"2.942","942","2.256","178","1.912","2.977","298",
"11.505","32%"),
koepfe_5fs_rub_perc = c(NA,"50%","50%",NA,
"52%","29%","18%","0,6%",NA,NA,NA,NA,"26%",
"8,2%","20%","1,5%","17%","26%","2,6%","100%","32%"),
koepfe_5fs_bef = c(NA,"2.111","1.548",NA,
"1.771","1.141","723","24",NA,NA,NA,NA,"934",
"332","638","49","661","966","79","3.659",
"32%"),
koepfe_5fs_bef_perc = c(NA,"58%","42%",NA,
"48%","31%","20%","0,7%",NA,NA,NA,NA,"26%",
"9,1%","17%","1,3%","18%","26%","2,2%","100%","32%"),
row_id = c(1L,2L,3L,4L,5L,6L,
7L,8L,9L,10L,11L,12L,13L,14L,15L,16L,17L,18L,
19L,20L,21L)
)
typology <- data.frame(
stringsAsFactors = FALSE,
NA,
col_keys = c(
"studienverlauf","koepfe_2fs_rub","koepfe_2fs_rub_perc","koepfe_2fs_bef",
"koepfe_2fs_bef_perc","koepfe_5fs_rub","koepfe_5fs_rub_perc","koepfe_5fs_bef",
"koepfe_5fs_bef_perc"
),
colD = c(
"Studienverlauf","Studierende (WiSe 18/19 bis WiSe 20/21)",
"Studierende (WiSe 18/19 bis WiSe 20/21)","Studierende (WiSe 18/19 bis WiSe 20/21)",
"Studierende (WiSe 18/19 bis WiSe 20/21)","Studierende (WiSe 18/19 bis WiSe 20/21)",
"Studierende (WiSe 18/19 bis WiSe 20/21)","Studierende (WiSe 18/19 bis WiSe 20/21)",
"Studierende (WiSe 18/19 bis WiSe 20/21)"
),
colC = c(
"Studienverlauf","2. Fachsemester","2. Fachsemester","2. Fachsemester","2. Fachsemester",
"5. Fachsemester","5. Fachsemester","5. Fachsemester","5. Fachsemester"
),
colB = c(
"Studienverlauf","Angeschrieben","Angeschrieben","G\u00FCltige Frageb\u00F6gen",
"G\u00FCltige Frageb\u00F6gen","Angeschrieben","Angeschrieben","G\u00FCltige Frageb\u00F6gen",
"G\u00FCltige Frageb\u00F6gen"
),
colA = c(
"Studienverlauf","K\u00F6pfe","(in %)","K\u00F6pfe","(in %)","K\u00F6pfe","(in %)",
"K\u00F6pfe","(in %)"
)
)
headings <- c(
"Geschlecht", "Abschlussart", "F\u00E4chergruppe (erstes Studienfach)",
"Gesamtzahl angeschriebene Studierende / g\u00FCltige Frageb\u00F6gen",
"R\u00FCcklaufquote Studienverlaufsbefragungen"
)
# Function call
rub_table_vb(
df = studienverlauf,
typolog = typology,
headings = headings
)
Studienverlauf
Studierende (WiSe 18/19 bis WiSe 20/21)
2. Fachsemester
5. Fachsemester
Angeschrieben
Gültige Fragebögen
Angeschrieben
Gültige Fragebögen
Köpfe
(in %)
Köpfe
(in %)
Köpfe
(in %)
Köpfe
(in %)
Geschlecht
weiblich
1.597
50%
652
54%
5.720
50%
2.111
58%
männlich
1.576
50%
561
46%
5.785
50%
1.548
42%
Abschlussart
Bachelor 1-Fach
6.010
52%
1.771
48%
Bachelor 2-Fächer
3.320
29%
1.141
31%
Staatsexamen
2.102
18%
723
20%
Magister Theologiae
73
0,6%
24
0,7%
Master 1-Fach
2.590
82%
964
79%
Master 2-Fächer
99
3,1%
49
4,0%
Master of Education
484
15%
200
16%
Fächergruppe (erstes Studienfach)
Geisteswissenschaften
733
23%
278
23%
2.942
26%
934
26%
Humanmedizin / Gesundheitswissenschaften
942
8,2%
332
9,1%
Ingenieurwissenschaften
776
24%
281
23%
2.256
20%
638
17%
Kunst, Kunstwissenschaft
40
1,3%
18
1,5%
178
1,5%
49
1,3%
Mathematik, Naturwissenschaften
718
23%
320
26%
1.912
17%
661
18%
Rechts-, Wirtschafts-, Sozialwissenschaften
805
25%
278
23%
2.977
26%
966
26%
Sport
101
3,2%
38
3,1%
298
2,6%
79
2,2%
Gesamtzahl angeschriebene Studierende / gültige Fragebögen
3.173
100%
1.213
100%
11.505
100%
3.659
100%
Rücklaufquote Studienverlaufsbefragungen
38%
32%
*Fragebögen werden als gültig kategorisiert, wenn mindestens eine Frage beantwortet wurde.