MCA med soc.ca STUDIER PASSAR TIL
#datafil<-datafil[!(analysefil$r21inst=="BI"),] # dropp BI (ikkje med i 98)
#analysefil<-datafil[, c(486:513,3,147)]
analysefil<-datafil2[, c(486:513,3,147)] #utan BI
colnames(analysefil)
## [1] "sivilingeniorntnu" "teaterhogskolen"
## [3] "norgeshandelshoyskole" "kunstmusikkellerdesign"
## [5] "bedokBI" "sykepleier"
## [7] "journalistikk" "modernespraak"
## [9] "sosionom" "allmennlaerer"
## [11] "ingenior" "jusstudiet"
## [13] "medisinstudiet" "psykologistudiet"
## [15] "sosialant" "litteraturvitenskap"
## [17] "fysikk" "medievitenskap"
## [19] "praktiskpedagogiskutdannelseved" "filosofi"
## [21] "klassiskespraak" "historie"
## [23] "kunsthistorie" "biologiskefaguniversitet"
## [25] "sammenlignendepolitikk" "filmhoyskolen"
## [27] "skrivekunstakademiet" "matematikk"
## [29] "aar" "r21inst"
nrow(analysefil) # antal før sletting av ikkje-komplette
## [1] 3631
frq(analysefil$aar)
##
## x <categorical>
## # total N=3631 valid N=3631 mean=39.96 sd=38.79
##
## Value | N | Raw % | Valid % | Cum. %
## ---------------------------------------
## 8 | 1163 | 32.03 | 32.03 | 62.54
## 10 | 0 | 0.00 | 0.00 | 62.54
## 20 | 1360 | 37.46 | 37.46 | 100.00
## 98 | 1108 | 30.52 | 30.52 | 30.52
## <NA> | 0 | 0.00 | <NA> | <NA>
analysefil<-analysefil %>% filter(complete.cases(.))
nrow(analysefil) # antal etterpå
## [1] 2783
frq(analysefil$aar)
##
## x <categorical>
## # total N=2783 valid N=2783 mean=45.61 sd=42.24
##
## Value | N | Raw % | Valid % | Cum. %
## ---------------------------------------
## 8 | 1139 | 40.93 | 40.93 | 80.06
## 10 | 0 | 0.00 | 0.00 | 80.06
## 20 | 555 | 19.94 | 19.94 | 100.00
## 98 | 1089 | 39.13 | 39.13 | 39.13
## <NA> | 0 | 0.00 | <NA> | <NA>
analysefil$aar<-droplevels(analysefil$aar) #obs tomme kategoriar i variablar lagar problem
analysefil$r21inst<-droplevels(analysefil$r21inst) #obs tomme kategoriar i variablar lagar problem
#weights
analysefil$weight<-1
analysefil$weight[analysefil$aar == '08'] <-2
active<-analysefil[c(1:28)]
sup<-analysefil[c(29:30)]
result<-soc.mca(active,sup, weight=analysefil$weight)
result
## Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 68.1% **********************************
## Dimensions explaining 80% of inertia: 2 | 2. 18.2% *********
## Active modalities: 56 | 3. 6.2% ***
## Supplementary modalities: 7 | 4. 5.0% **
## Individuals: 2783 | 5. 1.8% *
## Share of passive mass: 0 | 6. 0.3%
## Number of passive modalities: 0 | 7. 0.3%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
contribution(result)
##
## Dimension 1. (+)
## Ctr Coord
## litteraturvitenskap: yes 6.2 1.23
## kunsthistorie: yes 5.5 1.26
## skrivekunstakademiet: yes 5.2 1.37
## sosialant: yes 4.6 0.94
## medievitenskap: yes 4.6 0.95
## journalistikk: yes 3.3 0.68
## filosofi: yes 3.0 0.85
## filmhoyskolen: yes 2.9 0.87
## kunstmusikkellerdesign: yes 2.6 0.82
## teaterhogskolen: yes 2.5 0.85
## sivilingeniorntnu: no 2.4 0.32
## sosionom: yes 2.2 0.63
## modernespraak: yes 2.1 0.61
## sammenlignendepolitikk: yes 1.9 0.61
## historie: yes 1.8 0.47
##
## Dimension 1. (-)
## Ctr Coord
## sivilingeniorntnu: yes 8.5 -1.13
## ingenior: yes 6.5 -1.14
## matematikk: yes 5.0 -1.02
## fysikk: yes 4.6 -1.23
## bedokBI: yes 2.5 -0.79
## norgeshandelshoyskole: yes 2.2 -0.67
contribution(result, 2)
##
## Dimension 2. (+)
## Ctr Coord
## ingenior: yes 9.9 1.15
## matematikk: yes 9.7 1.15
## fysikk: yes 8.9 1.40
## sivilingeniorntnu: yes 7.8 0.89
## klassiskespraak: yes 4.6 1.18
## biologiskefaguniversitet: yes 3.5 0.71
## norgeshandelshoyskole: yes 3.2 0.65
## sammenlignendepolitikk: yes 3.2 0.65
## medisinstudiet: yes 3.1 0.59
## filosofi: yes 3.1 0.70
## modernespraak: yes 2.9 0.58
## bedokBI: yes 2.8 0.68
## historie: yes 2.6 0.46
## litteraturvitenskap: yes 2.4 0.62
## kunsthistorie: yes 2.1 0.63
## jusstudiet: yes 1.9 0.48
##
## Dimension 2. (-)
## Ctr Coord
## sivilingeniorntnu: no 2.2 -0.25
## ingenior: no 1.9 -0.23
## matematikk: no 1.9 -0.22
contribution(result, 3)
##
## Dimension 3. (+)
## Ctr Coord
## sykepleier: yes 17.0 1.27
## sosionom: yes 12.1 1.05
## praktiskpedagogiskutdannelseved: yes 11.0 1.14
## allmennlaerer: yes 8.9 0.73
## biologiskefaguniversitet: yes 4.6 0.71
## medisinstudiet: yes 4.3 0.61
## psykologistudiet: yes 3.8 0.47
##
## Dimension 3. (-)
## Ctr Coord
## sykepleier: no 3.7 -0.28
## allmennlaerer: no 3.6 -0.29
## filmhoyskolen: yes 3.1 -0.64
## sosionom: no 2.8 -0.24
## kunsthistorie: yes 2.5 -0.60
## medievitenskap: yes 2.1 -0.46
## praktiskpedagogiskutdannelseved: no 1.9 -0.19
contribution(result, 4)
##
## Dimension 4. (+)
## Ctr Coord
## sammenlignendepolitikk: yes 12.8 1.12
## jusstudiet: yes 8.5 0.87
## bedokBI: yes 8.0 1.00
## norgeshandelshoyskole: yes 6.8 0.82
## journalistikk: yes 3.1 0.46
## historie: yes 2.5 0.38
## sosialant: yes 2.1 0.44
##
## Dimension 4. (-)
## Ctr Coord
## kunstmusikkellerdesign: yes 8.9 -1.06
## filmhoyskolen: yes 5.9 -0.87
## teaterhogskolen: yes 5.3 -0.87
## skrivekunstakademiet: yes 3.2 -0.76
## fysikk: yes 2.9 -0.68
## biologiskefaguniversitet: yes 2.6 -0.52
## sammenlignendepolitikk: no 2.6 -0.22
## kunsthistorie: yes 2.2 -0.56
## jusstudiet: no 1.9 -0.20
contribution(result, 1:4, mode="variable")
## The contribution of the active variables
##
## allmennlaerer Dim.1 Dim.2 Dim.3 Dim.4 Freq
## allmennlaerer: yes 0.2 1.7 8.9 0.4 794.0278
## allmennlaerer: no 0.1 0.7 3.6 0.2 1988.972
## Total 0.3 2.4 12.5 0.6 2783
##
## bedokBI Dim.1 Dim.2 Dim.3 Dim.4 Freq
## bedokBI: yes 2.5 2.8 1.2 8.0 359.7606
## bedokBI: no 0.4 0.4 0.2 1.2 2423.239
## Total 2.9 3.2 1.4 9.2 2783
##
## biologiskefaguniversitet Dim.1 Dim.2 Dim.3 Dim.4 Freq
## biologiskefaguniversitet: yes 0.3 3.5 4.6 2.6 422.9138
## biologiskefaguniversitet: no 0.1 0.6 0.8 0.5 2360.086
## Total 0.4 4.1 5.4 3.1 2783
##
## filmhoyskolen Dim.1 Dim.2 Dim.3 Dim.4 Freq
## filmhoyskolen: yes 2.9 0.9 3.1 5.9 351.9551
## filmhoyskolen: no 0.4 0.1 0.4 0.9 2431.045
## Total 3.3 1.0 3.5 6.8 2783
##
## filosofi Dim.1 Dim.2 Dim.3 Dim.4 Freq
## filosofi: yes 3.0 3.1 0.8 0.0 385.3057
## filosofi: no 0.5 0.5 0.1 0.0 2397.694
## Total 3.5 3.6 0.9 0.0 2783
##
## fysikk Dim.1 Dim.2 Dim.3 Dim.4 Freq
## fysikk: yes 4.6 8.9 0.6 2.9 278.1581
## fysikk: no 0.5 1.0 0.1 0.3 2504.842
## Total 5.1 9.9 0.7 3.2 2783
##
## historie Dim.1 Dim.2 Dim.3 Dim.4 Freq
## historie: yes 1.8 2.6 0.6 2.5 754.2909
## historie: no 0.7 1.0 0.2 0.9 2028.709
## Total 2.5 3.6 0.8 3.4 2783
##
## ingenior Dim.1 Dim.2 Dim.3 Dim.4 Freq
## ingenior: yes 6.5 9.9 0.0 0.6 455.5548
## ingenior: no 1.3 1.9 0.0 0.1 2327.445
## Total 7.8 11.8 0.0 0.7 2783
##
## journalistikk Dim.1 Dim.2 Dim.3 Dim.4 Freq
## journalistikk: yes 3.3 1.2 1.6 3.1 664.883
## journalistikk: no 1.0 0.4 0.5 1.0 2118.117
## Total 4.3 1.6 2.1 4.1 2783
##
## jusstudiet Dim.1 Dim.2 Dim.3 Dim.4 Freq
## jusstudiet: yes 0.0 1.9 0.2 8.5 510.193
## jusstudiet: no 0.0 0.4 0.0 1.9 2272.807
## Total 0.0 2.3 0.2 10.4 2783
##
## klassiskespraak Dim.1 Dim.2 Dim.3 Dim.4 Freq
## klassiskespraak: yes 1.8 4.6 0.2 1.7 202.2323
## klassiskespraak: no 0.1 0.4 0.0 0.1 2580.768
## Total 1.9 5.0 0.2 1.8 2783
##
## kunsthistorie Dim.1 Dim.2 Dim.3 Dim.4 Freq
## kunsthistorie: yes 5.5 2.1 2.5 2.2 317.895
## kunsthistorie: no 0.7 0.3 0.3 0.3 2465.105
## Total 6.2 2.4 2.8 2.5 2783
##
## kunstmusikkellerdesign Dim.1 Dim.2 Dim.3 Dim.4 Freq
## kunstmusikkellerdesign: yes 2.6 0.3 1.4 8.9 356.2126
## kunstmusikkellerdesign: no 0.4 0.0 0.2 1.3 2426.787
## Total 3.0 0.3 1.6 10.2 2783
##
## litteraturvitenskap Dim.1 Dim.2 Dim.3 Dim.4 Freq
## litteraturvitenskap: yes 6.2 2.4 0.8 0.0 380.3386
## litteraturvitenskap: no 1.0 0.4 0.1 0.0 2402.661
## Total 7.2 2.8 0.9 0.0 2783
##
## matematikk Dim.1 Dim.2 Dim.3 Dim.4 Freq
## matematikk: yes 5.0 9.7 0.0 1.4 446.3302
## matematikk: no 1.0 1.9 0.0 0.3 2336.67
## Total 6.0 11.6 0.0 1.7 2783
##
## medievitenskap Dim.1 Dim.2 Dim.3 Dim.4 Freq
## medievitenskap: yes 4.6 1.7 2.1 1.4 473.2945
## medievitenskap: no 0.9 0.4 0.4 0.3 2309.706
## Total 5.5 2.1 2.5 1.7 2783
##
## medisinstudiet Dim.1 Dim.2 Dim.3 Dim.4 Freq
## medisinstudiet: yes 0.6 3.1 4.3 0.6 539.9957
## medisinstudiet: no 0.1 0.7 1.0 0.2 2243.004
## Total 0.7 3.8 5.3 0.8 2783
##
## modernespraak Dim.1 Dim.2 Dim.3 Dim.4 Freq
## modernespraak: yes 2.1 2.9 0.1 0.5 527.9327
## modernespraak: no 0.5 0.7 0.0 0.1 2255.067
## Total 2.6 3.6 0.1 0.6 2783
##
## norgeshandelshoyskole Dim.1 Dim.2 Dim.3 Dim.4 Freq
## norgeshandelshoyskole: yes 2.2 3.2 0.3 6.8 457.6836
## norgeshandelshoyskole: no 0.4 0.6 0.1 1.3 2325.316
## Total 2.6 3.8 0.4 8.1 2783
##
## praktiskpedagogiskutdannelseved Dim.1 Dim.2 Dim.3 Dim.4 Freq
## praktiskpedagogiskutdannelseved: yes 1.5 1.7 11.0 0.2 401.6262
## praktiskpedagogiskutdannelseved: no 0.3 0.3 1.9 0.0 2381.374
## Total 1.8 2.0 12.9 0.2 2783
##
## psykologistudiet Dim.1 Dim.2 Dim.3 Dim.4 Freq
## psykologistudiet: yes 1.5 0.5 3.8 0.3 799.7045
## psykologistudiet: no 0.6 0.2 1.5 0.1 1983.296
## Total 2.1 0.7 5.3 0.4 2783
##
## sammenlignendepolitikk Dim.1 Dim.2 Dim.3 Dim.4 Freq
## sammenlignendepolitikk: yes 1.9 3.2 1.0 12.8 463.3603
## sammenlignendepolitikk: no 0.4 0.6 0.2 2.6 2319.64
## Total 2.3 3.8 1.2 15.4 2783
##
## sivilingeniorntnu Dim.1 Dim.2 Dim.3 Dim.4 Freq
## sivilingeniorntnu: yes 8.5 7.8 0.7 0.3 610.2448
## sivilingeniorntnu: no 2.4 2.2 0.2 0.1 2172.755
## Total 10.9 10.0 0.9 0.4 2783
##
## skrivekunstakademiet Dim.1 Dim.2 Dim.3 Dim.4 Freq
## skrivekunstakademiet: yes 5.2 0.9 1.0 3.2 254.7417
## skrivekunstakademiet: no 0.5 0.1 0.1 0.3 2528.258
## Total 5.7 1.0 1.1 3.5 2783
##
## sosialant Dim.1 Dim.2 Dim.3 Dim.4 Freq
## sosialant: yes 4.6 1.7 1.4 2.1 484.6479
## sosialant: no 1.0 0.4 0.3 0.4 2298.352
## Total 5.6 2.1 1.7 2.5 2783
##
## sosionom Dim.1 Dim.2 Dim.3 Dim.4 Freq
## sosionom: yes 2.2 0.1 12.1 1.1 521.5464
## sosionom: no 0.5 0.0 2.8 0.3 2261.454
## Total 2.7 0.1 14.9 1.4 2783
##
## sykepleier Dim.1 Dim.2 Dim.3 Dim.4 Freq
## sykepleier: yes 0.1 0.5 17.0 1.2 500.9684
## sykepleier: no 0.0 0.1 3.7 0.3 2282.032
## Total 0.1 0.6 20.7 1.5 2783
##
## teaterhogskolen Dim.1 Dim.2 Dim.3 Dim.4 Freq
## teaterhogskolen: yes 2.5 0.6 0.0 5.3 319.3141
## teaterhogskolen: no 0.3 0.1 0.0 0.7 2463.686
## Total 2.8 0.7 0.0 6.0 2783
## Average contribution per modality: 1.8
## Total number of individuals: 2783
balance(result)
## + Contrib. - Contrib. Balance (+/-)
## [1,] 0.5981654 0.4018346 1.4885859
## [2,] 0.8361981 0.1638019 5.1049371
## [3,] 0.6639834 0.3360166 1.9760432
## [4,] 0.5256772 0.4743228 1.1082687
## [5,] 0.5778041 0.4221959 1.3685687
## [6,] 0.6145434 0.3854566 1.5943258
## [7,] 0.4907600 0.5092400 0.9637107
## [8,] 0.5263095 0.4736905 1.1110831
## [9,] 0.5583401 0.4416599 1.2641856
# Ind explorer (ta vekk # om du vil køyre dette)
#ind.explorer(result, active, sup)
# trim variabelnamn
#result$names.sup <- sapply(strsplit(result$names.sup, ": "), tail, 1) # forkortar variabelnamn
#result$names.mod <- sapply(strsplit(result$names.mod, ": "), tail, 1) # forkortar variabelnamn
map.ind(result, dim=c(1,2))
map.ind(result, dim=c(1,3))
map.ind(result, dim=c(2,3))
map.ctr(result, dim = c(1,2), ctr.dim=c(1), label.size = 2, label.repel = TRUE)
map.ctr(result, dim = c(1,2), ctr.dim=c(2), label.size = 2, label.repel = TRUE )
map.ctr(result, dim = c(2,3), ctr.dim=c(3), label.size = 2, label.repel = TRUE)
map.ctr(result, dim = c(2,4), ctr.dim=c(4), label.size = 2, label.repel = TRUE)
map.mod(result, dim = c(1, 2), label.size = 2, label.repel = TRUE)
## Warning: ggrepel: 26 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps
map.mod(result, dim = c(3, 4), label.size = 2, label.repel = TRUE)
## Warning: ggrepel: 37 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps
map.select(result, map.title="Aar", list.sup=sup$aar, point.size=3)
map.select(result, map.title="Aar", list.sup=sup$aar, point.size=3, dim=c(3,4))
# Ellipser
map <- map.ind(result)
map.ellipse.array(result, analysefil$aar, dim = c(1,2))
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
map.ellipse.array(result, analysefil$aar, dim = c(3,4))
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
# Klassespesifikk MCA
csa.all(result, sup[,1])
## $results
## $results$`98`
## Class Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 68.8% **********************************
## Dimensions explaining 80% of inertia: 2 | 2. 15.2% ********
## Active modalities: 56 | 3. 7.8% ****
## Supplementary modalities: 0 | 4. 4.1% **
## Individuals: 1089 | 5. 2.5% *
## Share of passive mass: 0 | 6. 1.0%
## Number of passive modalities: 0 | 7. 0.5%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
##
## $results$`08`
## Class Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 68.0% **********************************
## Dimensions explaining 80% of inertia: 2 | 2. 19.1% **********
## Active modalities: 56 | 3. 7.0% ****
## Supplementary modalities: 0 | 4. 4.1% **
## Individuals: 1139 | 5. 1.4%
## Share of passive mass: 0 | 6. 0.3%
## Number of passive modalities: 0 | 7. 0.2%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
##
## $results$`20`
## Class Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 59.6% ******************************
## Dimensions explaining 80% of inertia: 3 | 2. 19.7% **********
## Active modalities: 56 | 3. 9.3% ****
## Supplementary modalities: 0 | 4. 7.1% ****
## Individuals: 555 | 5. 1.9% *
## Share of passive mass: 0 | 6. 1.6% *
## Number of passive modalities: 0 | 7. 0.6%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
##
##
## $measures
## $measures$`98`
## $measures$`98`$cosines
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2
## CSA: 1 0.98310445 0.20658925 -0.02341484 -0.07325629 0.1055664 1.00457627
## CSA: 2 -0.11954887 0.91823745 -0.36003169 0.14661503 0.1520552 0.92598701
## CSA: 3 0.04410534 -0.14614152 -0.03457573 0.96429757 0.1453573 0.15265197
## CSA: 4 0.02271551 0.25922867 0.64734670 0.12855701 -0.6201507 0.26022202
## CSA: 5 -0.05677979 0.08127167 0.55506911 -0.06379246 0.7078272 0.09914146
## MCA: 1&3 MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4
## CSA: 1 0.98338325 0.98583003 0.9887561 0.2079119 0.2191931 0.2319987 0.07690734
## CSA: 2 0.37936098 0.18917690 0.1934237 0.9862975 0.9298688 0.9307421 0.38874000
## CSA: 3 0.05604251 0.96530569 0.1519013 0.1501760 0.9753087 0.2061215 0.96491724
## CSA: 4 0.64774512 0.13054846 0.6205666 0.6973215 0.2893552 0.6721506 0.65998838
## CSA: 5 0.55796564 0.08540153 0.7101009 0.5609873 0.1033178 0.7124777 0.55872282
## MCA: 3&5 MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 0.1081319 0.1284942 1.0048491 0.2204401 0.1306101
## CSA: 2 0.3908243 0.2112268 0.9935164 0.9971353 0.4174201
## CSA: 3 0.1494129 0.9751915 0.1565187 0.9759214 0.9758043
## CSA: 4 0.8964623 0.6333355 0.6976914 0.7090727 0.9056333
## CSA: 5 0.8995116 0.7106961 0.5638535 0.5646028 0.9017708
##
## $measures$`98`$angles
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2 MCA: 1&3 MCA: 1&4
## CSA: 1 10.54720 78.07745 88.65831 85.79896 83.94020 NaN 10.45957 9.656868
## CSA: 2 83.13393 23.33025 68.89786 81.56919 81.25395 22.18234 67.70589 79.095247
## CSA: 3 87.47213 81.59661 88.01856 15.35632 81.64203 81.21936 86.78732 15.136673
## CSA: 4 88.69839 74.97570 49.65815 82.61378 51.67286 74.91676 49.62819 82.498713
## CSA: 5 86.74501 85.33834 56.28453 86.34248 44.94159 84.31027 56.08478 85.100885
## MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4 MCA: 3&5 MCA: 4&5
## CSA: 1 8.600109 77.999986 77.33836 76.58523 85.58918 83.79236 82.61742
## CSA: 2 78.847347 9.495857 21.58563 21.44921 67.12388 66.99420 77.80575
## CSA: 3 81.262873 81.362875 12.75871 78.10484 15.22167 81.40710 12.78909
## CSA: 4 51.642476 45.787500 73.18065 47.76673 48.70101 26.30312 50.70336
## CSA: 5 44.756871 55.875893 84.06975 44.56313 56.03248 25.90606 44.70842
## MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 NaN 77.26511 82.49515
## CSA: 2 6.528028 4.33792 65.32818
## CSA: 3 80.995113 12.59878 12.62951
## CSA: 4 45.757925 44.84048 25.09129
## CSA: 5 55.677288 55.62529 25.60818
##
##
## $measures$`08`
## $measures$`08`$cosines
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
## CSA: 1 -0.995391688 0.1155425614 -0.004570317 -0.027419371 0.035172258
## CSA: 2 0.081961744 0.9814206828 0.184054099 -0.006626153 -0.001047712
## CSA: 3 -0.018451891 -0.1408699830 0.973490636 0.064169310 0.022584561
## CSA: 4 -0.009389538 0.0169238284 -0.049231212 0.969782063 -0.213496875
## CSA: 5 0.005803587 0.0004932956 -0.044933569 0.190738632 0.955753101
## MCA: 1&2 MCA: 1&3 MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4
## CSA: 1 1.002075195 0.99540218 0.99576927 0.99601290 0.11563292 0.1187514
## CSA: 2 0.984837187 0.20147863 0.08222915 0.08196844 0.99853015 0.9814431
## CSA: 3 0.142073306 0.97366549 0.06676955 0.02916393 0.98363020 0.1547968
## CSA: 4 0.019354054 0.05011862 0.96982752 0.21370325 0.05205889 0.9699297
## CSA: 5 0.005824514 0.04530681 0.19082690 0.95577072 0.04493628 0.1907393
## MCA: 2&5 MCA: 3&4 MCA: 3&5 MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4
## CSA: 1 0.1207774 0.02779766 0.03546795 0.044597193 1.00208562 0.1188394
## CSA: 2 0.9814212 0.18417334 0.18405708 0.006708472 1.00188831 0.9985521
## CSA: 3 0.1426689 0.97560326 0.97375258 0.068027662 0.98380325 0.9857211
## CSA: 4 0.2141666 0.97103088 0.21909958 0.993004615 0.05289888 0.9711783
## CSA: 5 0.9557532 0.19595982 0.95680877 0.974600029 0.04530950 0.1959604
## MCA: 3&4&5
## CSA: 1 0.04483076
## CSA: 2 0.18417632
## CSA: 3 0.97586463
## CSA: 4 0.99422426
## CSA: 5 0.97563530
##
## $measures$`08`$angles
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2 MCA: 1&3
## CSA: 1 5.502695 83.36508 89.73814 88.42879 87.98436 NaN 5.496423
## CSA: 2 85.298664 11.06184 79.39401 89.62035 89.93997 9.990284 78.376561
## CSA: 3 88.942725 81.90181 13.22213 86.32084 88.70589 81.832163 13.178256
## CSA: 4 89.462011 89.03029 87.17812 14.12114 77.67264 88.891025 87.127211
## CSA: 5 89.667477 89.97174 87.42463 79.00411 17.10778 89.666278 87.403222
## MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4 MCA: 3&5
## CSA: 1 5.272282 5.11812 83.359868 83.17995 83.06303 88.40711 87.96741
## CSA: 2 85.283291 85.29828 3.106896 11.05515 11.06167 79.38706 79.39384
## CSA: 3 86.171538 88.32879 10.381343 81.09499 81.79769 12.68208 13.15635
## CSA: 4 14.110462 77.66054 87.015896 14.08642 77.63336 13.82482 77.34385
## CSA: 5 78.998955 17.10434 87.424474 79.00407 17.10775 78.69920 16.90095
## MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 87.44392 NaN 83.174877 87.430525
## CSA: 2 89.61563 NaN 3.083568 79.386886
## CSA: 3 86.09929 10.32617 9.694006 12.613685
## CSA: 4 6.78105 86.96770 13.789411 6.160993
## CSA: 5 12.94130 87.40307 78.699165 12.673714
##
##
## $measures$`20`
## $measures$`20`$cosines
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2
## CSA: 1 0.98806566 -0.041362015 0.06072107 0.01691738 0.09484026 0.98893102
## CSA: 2 0.04955884 0.974898442 -0.18749397 -0.08154427 -0.18509199 0.97615729
## CSA: 3 -0.03376696 0.176684330 0.92796714 0.12746647 0.19696706 0.17988207
## CSA: 4 -0.02651198 0.044727606 -0.13083230 0.91664148 0.10748162 0.05199465
## CSA: 5 -0.05332681 0.001637275 -0.09591712 -0.29237356 0.30759498 0.05335194
## MCA: 1&3 MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5
## CSA: 1 0.9899297 0.98821047 0.9926069 0.07347016 0.04468796 0.1034673
## CSA: 2 0.1939332 0.09542299 0.1916119 0.99276430 0.97830284 0.9923135
## CSA: 3 0.9285813 0.13186322 0.1998405 0.94463769 0.21786476 0.2646004
## CSA: 4 0.1334915 0.91702480 0.1107031 0.13826659 0.91773207 0.1164167
## CSA: 5 0.1097444 0.29719699 0.3121833 0.09593109 0.29237815 0.3075993
## MCA: 3&4 MCA: 3&5 MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 0.06303369 0.1126132 0.09633728 0.9907934 0.07539272 0.1138768
## CSA: 2 0.20445894 0.2634635 0.20225853 0.9940005 0.99610764 0.2757943
## CSA: 3 0.93668069 0.9486406 0.23461399 0.9452410 0.95319886 0.9571660
## CSA: 4 0.92593125 0.1693204 0.92292139 0.1407854 0.92701092 0.9321486
## CSA: 5 0.30770504 0.3222030 0.42437834 0.1097567 0.30770940 0.4350828
##
## $measures$`20`$angles
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2 MCA: 1&3
## CSA: 1 8.860735 87.62945 86.51880 89.03066 84.55787 8.532826 8.138122
## CSA: 2 87.159324 12.86473 79.19343 85.32266 79.33350 12.536669 78.817592
## CSA: 3 88.064928 79.82331 21.87989 82.67679 78.64034 79.637109 21.785267
## CSA: 4 88.480798 87.43644 82.48231 23.56008 83.82984 87.019582 82.328601
## CSA: 5 86.943149 89.90619 84.49589 72.99989 72.08565 86.941707 83.699416
## MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4 MCA: 3&5
## CSA: 1 8.806704 6.971391 85.786673 87.43872 84.061129 86.38604 83.53403
## CSA: 2 84.524334 78.953132 6.896679 11.95715 7.108558 78.20217 74.72432
## CSA: 3 82.422726 78.472367 19.154421 77.41635 74.656790 20.49861 18.44268
## CSA: 4 23.505068 83.644150 82.052447 23.40325 83.314653 22.19080 80.25169
## CSA: 5 72.710675 71.809144 84.495088 72.99961 72.085385 72.07902 71.20380
## MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 84.47171 7.780733 85.676212 83.46116
## CSA: 2 78.33094 6.279307 5.056909 73.99064
## CSA: 3 76.43113 19.048787 17.598448 16.83040
## CSA: 4 22.64302 81.906702 22.026435 21.22774
## CSA: 5 64.88868 83.698712 72.078758 64.20944
csa.all(result, analysefil$aar)$measures
## $`98`
## $`98`$cosines
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2
## CSA: 1 0.98310445 0.20658925 -0.02341484 -0.07325629 0.1055664 1.00457627
## CSA: 2 -0.11954887 0.91823745 -0.36003169 0.14661503 0.1520552 0.92598701
## CSA: 3 0.04410534 -0.14614152 -0.03457573 0.96429757 0.1453573 0.15265197
## CSA: 4 0.02271551 0.25922867 0.64734670 0.12855701 -0.6201507 0.26022202
## CSA: 5 -0.05677979 0.08127167 0.55506911 -0.06379246 0.7078272 0.09914146
## MCA: 1&3 MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4
## CSA: 1 0.98338325 0.98583003 0.9887561 0.2079119 0.2191931 0.2319987 0.07690734
## CSA: 2 0.37936098 0.18917690 0.1934237 0.9862975 0.9298688 0.9307421 0.38874000
## CSA: 3 0.05604251 0.96530569 0.1519013 0.1501760 0.9753087 0.2061215 0.96491724
## CSA: 4 0.64774512 0.13054846 0.6205666 0.6973215 0.2893552 0.6721506 0.65998838
## CSA: 5 0.55796564 0.08540153 0.7101009 0.5609873 0.1033178 0.7124777 0.55872282
## MCA: 3&5 MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 0.1081319 0.1284942 1.0048491 0.2204401 0.1306101
## CSA: 2 0.3908243 0.2112268 0.9935164 0.9971353 0.4174201
## CSA: 3 0.1494129 0.9751915 0.1565187 0.9759214 0.9758043
## CSA: 4 0.8964623 0.6333355 0.6976914 0.7090727 0.9056333
## CSA: 5 0.8995116 0.7106961 0.5638535 0.5646028 0.9017708
##
## $`98`$angles
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2 MCA: 1&3 MCA: 1&4
## CSA: 1 10.54720 78.07745 88.65831 85.79896 83.94020 NaN 10.45957 9.656868
## CSA: 2 83.13393 23.33025 68.89786 81.56919 81.25395 22.18234 67.70589 79.095247
## CSA: 3 87.47213 81.59661 88.01856 15.35632 81.64203 81.21936 86.78732 15.136673
## CSA: 4 88.69839 74.97570 49.65815 82.61378 51.67286 74.91676 49.62819 82.498713
## CSA: 5 86.74501 85.33834 56.28453 86.34248 44.94159 84.31027 56.08478 85.100885
## MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4 MCA: 3&5 MCA: 4&5
## CSA: 1 8.600109 77.999986 77.33836 76.58523 85.58918 83.79236 82.61742
## CSA: 2 78.847347 9.495857 21.58563 21.44921 67.12388 66.99420 77.80575
## CSA: 3 81.262873 81.362875 12.75871 78.10484 15.22167 81.40710 12.78909
## CSA: 4 51.642476 45.787500 73.18065 47.76673 48.70101 26.30312 50.70336
## CSA: 5 44.756871 55.875893 84.06975 44.56313 56.03248 25.90606 44.70842
## MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 NaN 77.26511 82.49515
## CSA: 2 6.528028 4.33792 65.32818
## CSA: 3 80.995113 12.59878 12.62951
## CSA: 4 45.757925 44.84048 25.09129
## CSA: 5 55.677288 55.62529 25.60818
##
##
## $`08`
## $`08`$cosines
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
## CSA: 1 -0.995391688 0.1155425614 -0.004570317 -0.027419371 0.035172258
## CSA: 2 0.081961744 0.9814206828 0.184054099 -0.006626153 -0.001047712
## CSA: 3 -0.018451891 -0.1408699830 0.973490636 0.064169310 0.022584561
## CSA: 4 -0.009389538 0.0169238284 -0.049231212 0.969782063 -0.213496875
## CSA: 5 0.005803587 0.0004932956 -0.044933569 0.190738632 0.955753101
## MCA: 1&2 MCA: 1&3 MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4
## CSA: 1 1.002075195 0.99540218 0.99576927 0.99601290 0.11563292 0.1187514
## CSA: 2 0.984837187 0.20147863 0.08222915 0.08196844 0.99853015 0.9814431
## CSA: 3 0.142073306 0.97366549 0.06676955 0.02916393 0.98363020 0.1547968
## CSA: 4 0.019354054 0.05011862 0.96982752 0.21370325 0.05205889 0.9699297
## CSA: 5 0.005824514 0.04530681 0.19082690 0.95577072 0.04493628 0.1907393
## MCA: 2&5 MCA: 3&4 MCA: 3&5 MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4
## CSA: 1 0.1207774 0.02779766 0.03546795 0.044597193 1.00208562 0.1188394
## CSA: 2 0.9814212 0.18417334 0.18405708 0.006708472 1.00188831 0.9985521
## CSA: 3 0.1426689 0.97560326 0.97375258 0.068027662 0.98380325 0.9857211
## CSA: 4 0.2141666 0.97103088 0.21909958 0.993004615 0.05289888 0.9711783
## CSA: 5 0.9557532 0.19595982 0.95680877 0.974600029 0.04530950 0.1959604
## MCA: 3&4&5
## CSA: 1 0.04483076
## CSA: 2 0.18417632
## CSA: 3 0.97586463
## CSA: 4 0.99422426
## CSA: 5 0.97563530
##
## $`08`$angles
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2 MCA: 1&3
## CSA: 1 5.502695 83.36508 89.73814 88.42879 87.98436 NaN 5.496423
## CSA: 2 85.298664 11.06184 79.39401 89.62035 89.93997 9.990284 78.376561
## CSA: 3 88.942725 81.90181 13.22213 86.32084 88.70589 81.832163 13.178256
## CSA: 4 89.462011 89.03029 87.17812 14.12114 77.67264 88.891025 87.127211
## CSA: 5 89.667477 89.97174 87.42463 79.00411 17.10778 89.666278 87.403222
## MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4 MCA: 3&5
## CSA: 1 5.272282 5.11812 83.359868 83.17995 83.06303 88.40711 87.96741
## CSA: 2 85.283291 85.29828 3.106896 11.05515 11.06167 79.38706 79.39384
## CSA: 3 86.171538 88.32879 10.381343 81.09499 81.79769 12.68208 13.15635
## CSA: 4 14.110462 77.66054 87.015896 14.08642 77.63336 13.82482 77.34385
## CSA: 5 78.998955 17.10434 87.424474 79.00407 17.10775 78.69920 16.90095
## MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 87.44392 NaN 83.174877 87.430525
## CSA: 2 89.61563 NaN 3.083568 79.386886
## CSA: 3 86.09929 10.32617 9.694006 12.613685
## CSA: 4 6.78105 86.96770 13.789411 6.160993
## CSA: 5 12.94130 87.40307 78.699165 12.673714
##
##
## $`20`
## $`20`$cosines
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2
## CSA: 1 0.98806566 -0.041362015 0.06072107 0.01691738 0.09484026 0.98893102
## CSA: 2 0.04955884 0.974898442 -0.18749397 -0.08154427 -0.18509199 0.97615729
## CSA: 3 -0.03376696 0.176684330 0.92796714 0.12746647 0.19696706 0.17988207
## CSA: 4 -0.02651198 0.044727606 -0.13083230 0.91664148 0.10748162 0.05199465
## CSA: 5 -0.05332681 0.001637275 -0.09591712 -0.29237356 0.30759498 0.05335194
## MCA: 1&3 MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5
## CSA: 1 0.9899297 0.98821047 0.9926069 0.07347016 0.04468796 0.1034673
## CSA: 2 0.1939332 0.09542299 0.1916119 0.99276430 0.97830284 0.9923135
## CSA: 3 0.9285813 0.13186322 0.1998405 0.94463769 0.21786476 0.2646004
## CSA: 4 0.1334915 0.91702480 0.1107031 0.13826659 0.91773207 0.1164167
## CSA: 5 0.1097444 0.29719699 0.3121833 0.09593109 0.29237815 0.3075993
## MCA: 3&4 MCA: 3&5 MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 0.06303369 0.1126132 0.09633728 0.9907934 0.07539272 0.1138768
## CSA: 2 0.20445894 0.2634635 0.20225853 0.9940005 0.99610764 0.2757943
## CSA: 3 0.93668069 0.9486406 0.23461399 0.9452410 0.95319886 0.9571660
## CSA: 4 0.92593125 0.1693204 0.92292139 0.1407854 0.92701092 0.9321486
## CSA: 5 0.30770504 0.3222030 0.42437834 0.1097567 0.30770940 0.4350828
##
## $`20`$angles
## MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5 MCA: 1&2 MCA: 1&3
## CSA: 1 8.860735 87.62945 86.51880 89.03066 84.55787 8.532826 8.138122
## CSA: 2 87.159324 12.86473 79.19343 85.32266 79.33350 12.536669 78.817592
## CSA: 3 88.064928 79.82331 21.87989 82.67679 78.64034 79.637109 21.785267
## CSA: 4 88.480798 87.43644 82.48231 23.56008 83.82984 87.019582 82.328601
## CSA: 5 86.943149 89.90619 84.49589 72.99989 72.08565 86.941707 83.699416
## MCA: 1&4 MCA: 1&5 MCA: 2&3 MCA: 2&4 MCA: 2&5 MCA: 3&4 MCA: 3&5
## CSA: 1 8.806704 6.971391 85.786673 87.43872 84.061129 86.38604 83.53403
## CSA: 2 84.524334 78.953132 6.896679 11.95715 7.108558 78.20217 74.72432
## CSA: 3 82.422726 78.472367 19.154421 77.41635 74.656790 20.49861 18.44268
## CSA: 4 23.505068 83.644150 82.052447 23.40325 83.314653 22.19080 80.25169
## CSA: 5 72.710675 71.809144 84.495088 72.99961 72.085385 72.07902 71.20380
## MCA: 4&5 MCA: 1&2&3 MCA: 2&3&4 MCA: 3&4&5
## CSA: 1 84.47171 7.780733 85.676212 83.46116
## CSA: 2 78.33094 6.279307 5.056909 73.99064
## CSA: 3 76.43113 19.048787 17.598448 16.83040
## CSA: 4 22.64302 81.906702 22.026435 21.22774
## CSA: 5 64.88868 83.698712 72.078758 64.20944
#98
class.age <- which(analysefil$aar == '98')
csa.res <- soc.csa(result, class.age)
csa.res
## Class Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 68.8% **********************************
## Dimensions explaining 80% of inertia: 2 | 2. 15.2% ********
## Active modalities: 56 | 3. 7.8% ****
## Supplementary modalities: 0 | 4. 4.1% **
## Individuals: 1089 | 5. 2.5% *
## Share of passive mass: 0 | 6. 1.0%
## Number of passive modalities: 0 | 7. 0.5%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
map.ctr(csa.res, dim = c(1,2), ctr.dim=c(1,2), label.size = 2, label.repel = TRUE)
contribution(csa.res)
##
## Dimension 1. (+)
## Ctr Coord
## litteraturvitenskap: yes 8.3 1.38
## medievitenskap: yes 8.0 1.21
## kunsthistorie: yes 7.6 1.46
## skrivekunstakademiet: yes 5.6 1.43
## sosialant: yes 5.3 0.98
## filmhoyskolen: yes 5.3 1.16
## journalistikk: yes 4.5 0.77
## filosofi: yes 4.0 0.95
## teaterhogskolen: yes 3.2 0.96
## praktiskpedagogiskutdannelseved: yes 2.7 0.77
## kunstmusikkellerdesign: yes 2.5 0.78
## psykologistudiet: yes 2.1 0.48
## sammenlignendepolitikk: yes 2.0 0.62
## modernespraak: yes 1.9 0.56
##
## Dimension 1. (-)
## Ctr Coord
## sivilingeniorntnu: yes 4.6 -0.83
## bedokBI: yes 3.0 -0.85
## fysikk: yes 2.6 -0.92
## ingenior: yes 2.3 -0.69
## matematikk: yes 2.2 -0.67
contribution(csa.res, 2)
##
## Dimension 2. (+)
## Ctr Coord
## fysikk: yes 12.0 1.56
## sivilingeniorntnu: yes 10.1 0.98
## bedokBI: yes 9.3 1.18
## matematikk: yes 8.8 1.05
## norgeshandelshoyskole: yes 7.2 0.95
## ingenior: yes 6.8 0.94
## filosofi: yes 3.8 0.73
## jusstudiet: yes 3.7 0.63
## sammenlignendepolitikk: yes 3.3 0.63
## medievitenskap: yes 3.1 0.60
## historie: yes 2.7 0.45
## journalistikk: yes 2.6 0.46
##
## Dimension 2. (-)
## Ctr Coord
## sivilingeniorntnu: no 2.7 -0.26
contribution(csa.res, 3)
##
## Dimension 3. (+)
## Ctr Coord
## sammenlignendepolitikk: yes 11.8 1.10
## bedokBI: yes 9.9 1.13
## norgeshandelshoyskole: yes 4.3 0.68
## journalistikk: yes 3.8 0.52
## jusstudiet: yes 3.5 0.56
## historie: yes 1.9 0.34
##
## Dimension 3. (-)
## Ctr Coord
## kunstmusikkellerdesign: yes 6.7 -0.94
## biologiskefaguniversitet: yes 6.7 -0.87
## klassiskespraak: yes 5.6 -1.15
## fysikk: yes 5.2 -0.95
## filmhoyskolen: yes 4.1 -0.75
## teaterhogskolen: yes 3.3 -0.71
## sammenlignendepolitikk: no 2.4 -0.22
## medisinstudiet: yes 2.3 -0.46
## modernespraak: yes 2.1 -0.43
## kunsthistorie: yes 2.0 -0.55
map.csa.mca.array(csa.res, ndim = 4)
## TableGrob (5 x 4) "arrange": 17 grobs
## z cells name grob
## 1 1 (2-2,1-1) arrange gtable[layout]
## 2 2 (2-2,2-2) arrange gtable[layout]
## 3 3 (2-2,3-3) arrange gtable[layout]
## 4 4 (2-2,4-4) arrange gtable[layout]
## 5 5 (3-3,1-1) arrange gtable[layout]
## 6 6 (3-3,2-2) arrange gtable[layout]
## 7 7 (3-3,3-3) arrange gtable[layout]
## 8 8 (3-3,4-4) arrange gtable[layout]
## 9 9 (4-4,1-1) arrange gtable[layout]
## 10 10 (4-4,2-2) arrange gtable[layout]
## 11 11 (4-4,3-3) arrange gtable[layout]
## 12 12 (4-4,4-4) arrange gtable[layout]
## 13 13 (5-5,1-1) arrange gtable[layout]
## 14 14 (5-5,2-2) arrange gtable[layout]
## 15 15 (5-5,3-3) arrange gtable[layout]
## 16 16 (5-5,4-4) arrange gtable[layout]
## 17 17 (1-1,1-4) arrange text[GRID.text.1573]
#08
class.age <- which(analysefil$aar == '08')
csa.res <- soc.csa(result, class.age)
csa.res
## Class Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 68.0% **********************************
## Dimensions explaining 80% of inertia: 2 | 2. 19.1% **********
## Active modalities: 56 | 3. 7.0% ****
## Supplementary modalities: 0 | 4. 4.1% **
## Individuals: 1139 | 5. 1.4%
## Share of passive mass: 0 | 6. 0.3%
## Number of passive modalities: 0 | 7. 0.2%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
map.ctr(csa.res, dim = c(1,2), ctr.dim=c(1,2), label.size = 2, label.repel = TRUE)
contribution(csa.res)
##
## Dimension 1. (+)
## Ctr Coord
## sivilingeniorntnu: yes 11.6 1.39
## ingenior: yes 8.7 1.39
## matematikk: yes 6.4 1.19
## fysikk: yes 5.5 1.40
## norgeshandelshoyskole: yes 3.1 0.82
## bedokBI: yes 2.3 0.77
##
## Dimension 1. (-)
## Ctr Coord
## litteraturvitenskap: yes 5.3 -1.15
## skrivekunstakademiet: yes 5.3 -1.46
## kunsthistorie: yes 4.8 -1.21
## sosialant: yes 3.8 -0.88
## medievitenskap: yes 3.3 -0.81
## sivilingeniorntnu: no 3.1 -0.37
## teaterhogskolen: yes 2.6 -0.90
## journalistikk: yes 2.5 -0.60
## kunstmusikkellerdesign: yes 2.1 -0.75
## sosionom: yes 2.0 -0.62
## filosofi: yes 1.9 -0.69
## historie: yes 1.9 -0.49
## filmhoyskolen: yes 1.9 -0.73
contribution(csa.res, 2)
##
## Dimension 2. (+)
## Ctr Coord
## ingenior: yes 8.9 1.15
## matematikk: yes 8.1 1.09
## fysikk: yes 5.9 1.18
## sivilingeniorntnu: yes 5.4 0.77
## klassiskespraak: yes 5.1 1.27
## biologiskefaguniversitet: yes 4.7 0.85
## allmennlaerer: yes 4.5 0.62
## medisinstudiet: yes 4.1 0.71
## sammenlignendepolitikk: yes 3.7 0.72
## praktiskpedagogiskutdannelseved: yes 3.6 0.75
## modernespraak: yes 3.2 0.62
## sosialant: yes 2.9 0.62
## litteraturvitenskap: yes 2.6 0.66
## historie: yes 2.5 0.46
## kunsthistorie: yes 2.2 0.67
## norgeshandelshoyskole: yes 2.1 0.55
## filosofi: yes 2.1 0.58
## sykepleier: yes 1.8 0.50
##
## Dimension 2. (-)
## [1] Ctr Coord
## <0 rows> (or 0-length row.names)
contribution(csa.res, 3)
##
## Dimension 3. (+)
## Ctr Coord
## sykepleier: yes 19.7 1.44
## sosionom: yes 11.6 1.07
## allmennlaerer: yes 7.5 0.70
## praktiskpedagogiskutdannelseved: yes 6.2 0.87
## medisinstudiet: yes 3.8 0.60
## biologiskefaguniversitet: yes 3.7 0.66
##
## Dimension 3. (-)
## Ctr Coord
## filmhoyskolen: yes 4.6 -0.82
## sykepleier: no 4.1 -0.30
## kunsthistorie: yes 3.6 -0.75
## kunstmusikkellerdesign: yes 3.0 -0.65
## allmennlaerer: no 2.8 -0.27
## sosionom: no 2.6 -0.24
## sivilingeniorntnu: yes 2.3 -0.45
## medievitenskap: yes 1.8 -0.43
map.csa.mca.array(csa.res, ndim = 4)
## TableGrob (5 x 4) "arrange": 17 grobs
## z cells name grob
## 1 1 (2-2,1-1) arrange gtable[layout]
## 2 2 (2-2,2-2) arrange gtable[layout]
## 3 3 (2-2,3-3) arrange gtable[layout]
## 4 4 (2-2,4-4) arrange gtable[layout]
## 5 5 (3-3,1-1) arrange gtable[layout]
## 6 6 (3-3,2-2) arrange gtable[layout]
## 7 7 (3-3,3-3) arrange gtable[layout]
## 8 8 (3-3,4-4) arrange gtable[layout]
## 9 9 (4-4,1-1) arrange gtable[layout]
## 10 10 (4-4,2-2) arrange gtable[layout]
## 11 11 (4-4,3-3) arrange gtable[layout]
## 12 12 (4-4,4-4) arrange gtable[layout]
## 13 13 (5-5,1-1) arrange gtable[layout]
## 14 14 (5-5,2-2) arrange gtable[layout]
## 15 15 (5-5,3-3) arrange gtable[layout]
## 16 16 (5-5,4-4) arrange gtable[layout]
## 17 17 (1-1,1-4) arrange text[GRID.text.2265]
#20
class.age <- which(analysefil$aar == '20')
csa.res <- soc.csa(result, class.age)
csa.res
## Class Specific Multiple Correspondence Analysis:
##
## Statistics Scree plot
## Active dimensions: 9 | 1. 59.6% ******************************
## Dimensions explaining 80% of inertia: 3 | 2. 19.7% **********
## Active modalities: 56 | 3. 9.3% ****
## Supplementary modalities: 0 | 4. 7.1% ****
## Individuals: 555 | 5. 1.9% *
## Share of passive mass: 0 | 6. 1.6% *
## Number of passive modalities: 0 | 7. 0.6%
##
## The 28 active variables: [No. modalities - share of variance]
##
## sivilingeniorntnu [2 - 4%] teaterhogskolen [2 - 4%]
## norgeshandelshoyskole [2 - 4%] kunstmusikkellerdesign [2 - 4%]
## bedokBI [2 - 4%] sykepleier [2 - 4%]
## journalistikk [2 - 4%] modernespraak [2 - 4%]
## sosionom [2 - 4%] allmennlaerer [2 - 4%]
## ingenior [2 - 4%] jusstudiet [2 - 4%]
## medisinstudiet [2 - 4%] psykologistudiet [2 - 4%]
## sosialant [2 - 4%] litteraturvitenskap [2 - 4%]
## fysikk [2 - 4%] medievitenskap [2 - 4%]
## praktiskpedagogiskutdannelseved [2 - 4%] filosofi [2 - 4%]
## [...]
map.ctr(csa.res, dim = c(1,2), ctr.dim=c(1,2), label.size = 2, label.repel = TRUE)
contribution(csa.res)
##
## Dimension 1. (+)
## Ctr Coord
## skrivekunstakademiet: yes 5.3 1.42
## kunstmusikkellerdesign: yes 4.9 1.12
## sosionom: yes 4.7 0.93
## sosialant: yes 4.3 0.91
## journalistikk: yes 4.1 0.76
## filosofi: yes 4.1 0.98
## filmhoyskolen: yes 3.5 0.97
## kunsthistorie: yes 3.2 0.98
## litteraturvitenskap: yes 3.0 0.85
## medievitenskap: yes 2.8 0.74
## klassiskespraak: yes 2.2 0.99
## ingenior: no 2.1 0.29
## psykologistudiet: yes 2.1 0.49
## sivilingeniorntnu: no 1.9 0.29
##
## Dimension 1. (-)
## Ctr Coord
## ingenior: yes 11.1 -1.54
## sivilingeniorntnu: yes 7.2 -1.07
## matematikk: yes 7.1 -1.22
## fysikk: yes 4.9 -1.28
contribution(csa.res, 2)
##
## Dimension 2. (+)
## Ctr Coord
## ingenior: yes 10.2 1.24
## klassiskespraak: yes 10.1 1.80
## matematikk: yes 10.0 1.22
## fysikk: yes 8.3 1.41
## modernespraak: yes 6.7 0.90
## sivilingeniorntnu: yes 6.4 0.84
## filosofi: yes 5.8 0.98
## litteraturvitenskap: yes 3.0 0.71
## historie: yes 2.9 0.51
## kunsthistorie: yes 2.8 0.75
## medievitenskap: yes 2.1 0.53
## bedokBI: yes 2.0 0.59
## biologiskefaguniversitet: yes 2.0 0.56
## jusstudiet: yes 1.9 0.48
## sammenlignendepolitikk: yes 1.8 0.50
##
## Dimension 2. (-)
## Ctr Coord
## ingenior: no 1.9 -0.23
## matematikk: no 1.9 -0.23
contribution(csa.res, 3)
##
## Dimension 3. (+)
## Ctr Coord
## sykepleier: yes 19.5 1.48
## praktiskpedagogiskutdannelseved: yes 14.1 1.37
## psykologistudiet: yes 10.5 0.83
## allmennlaerer: yes 8.0 0.75
## medisinstudiet: yes 7.7 0.89
## biologiskefaguniversitet: yes 5.6 0.85
## sosionom: yes 5.1 0.73
##
## Dimension 3. (-)
## Ctr Coord
## psykologistudiet: no 4.3 -0.34
## sykepleier: no 4.0 -0.31
## allmennlaerer: no 3.0 -0.28
## praktiskpedagogiskutdannelseved: no 2.4 -0.23
## skrivekunstakademiet: yes 2.1 -0.67
## medisinstudiet: no 1.8 -0.21
map.csa.mca.array(csa.res, ndim = 4)
## TableGrob (5 x 4) "arrange": 17 grobs
## z cells name grob
## 1 1 (2-2,1-1) arrange gtable[layout]
## 2 2 (2-2,2-2) arrange gtable[layout]
## 3 3 (2-2,3-3) arrange gtable[layout]
## 4 4 (2-2,4-4) arrange gtable[layout]
## 5 5 (3-3,1-1) arrange gtable[layout]
## 6 6 (3-3,2-2) arrange gtable[layout]
## 7 7 (3-3,3-3) arrange gtable[layout]
## 8 8 (3-3,4-4) arrange gtable[layout]
## 9 9 (4-4,1-1) arrange gtable[layout]
## 10 10 (4-4,2-2) arrange gtable[layout]
## 11 11 (4-4,3-3) arrange gtable[layout]
## 12 12 (4-4,4-4) arrange gtable[layout]
## 13 13 (5-5,1-1) arrange gtable[layout]
## 14 14 (5-5,2-2) arrange gtable[layout]
## 15 15 (5-5,3-3) arrange gtable[layout]
## 16 16 (5-5,4-4) arrange gtable[layout]
## 17 17 (1-1,1-4) arrange text[GRID.text.2955]