csa.all: Multiple Class Specific Correspondence Analysis on all values...
In soc.ca: Specific Correspondence Analysis for the Social Sciences
Description
Usage
Arguments
Value
See Also
Examples
View source: R/functions_analysis.r
Description
csa.all performs a class specific correspondence analysis for each
level in a factor variable. Returns a list with soc.csa objects and a list of
measures defined by csa.measures
Usage
1
Arguments
object
is a soc.ca class object created with soc.mca
variable
a factor with the same length and order as the active
variables that created the soc.ca object
dim
is the dimension analyzed
...
further arguments are directed to csa.measures
Value
results
a list of soc.csa result objects
cor
a list of correlation matrixes
cosines
a list of matrixes with cosine values
angles
a list of matrixes with cosine angles between
dimensions
See Also
soc.csa, cor, csa.measures
Examples
1
2
3
Example output
Loading required package: ggplot2
soc.ca> data(taste)
soc.ca> # Create a data frame of factors containing all the active variables
soc.ca> taste <- taste[which(taste$Isup == 'Active'), ]
soc.ca> attach(taste)
soc.ca> active <- data.frame(TV, Film, Art, Eat)
soc.ca> sup <- data.frame(Gender, Age, Income)
soc.ca> detach(taste)
soc.ca> # Runs the analysis
soc.ca> result <- soc.mca(active, sup)
$results
$results$`18-24`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 9 | 1. 42.3% *********************
Dimensions explaining 80% of inertia: 3 | 2. 26.2% *************
Active modalities: 29 | 3. 14.1% *******
Supplementary modalities: 0 | 4. 8.3% ****
Individuals: 93 | 5. 6.3% ***
Share of passive mass: 0 | 6. 1.6% *
Number of passive modalities: 0 | 7. 1.0%
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`25-34`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 11 | 1. 28.9% **************
Dimensions explaining 80% of inertia: 4 | 2. 21.6% ***********
Active modalities: 29 | 3. 18.8% **********
Supplementary modalities: 0 | 4. 12.5% ******
Individuals: 248 | 5. 6.9% ****
Share of passive mass: 0 | 6. 3.9% **
Number of passive modalities: 0 | 7. 3.5% **
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`35-44`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 12 | 1. 44.5% **********************
Dimensions explaining 80% of inertia: 4 | 2. 15.2% ********
Active modalities: 29 | 3. 12.5% ******
Supplementary modalities: 0 | 4. 7.8% ****
Individuals: 258 | 5. 6.6% ****
Share of passive mass: 0 | 6. 4.5% **
Number of passive modalities: 0 | 7. 3.8% **
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`45-54`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 11 | 1. 33.8% *****************
Dimensions explaining 80% of inertia: 4 | 2. 23.4% ************
Active modalities: 29 | 3. 16.2% ********
Supplementary modalities: 0 | 4. 11.0% ******
Individuals: 191 | 5. 7.3% ****
Share of passive mass: 0 | 6. 3.6% **
Number of passive modalities: 0 | 7. 2.3% *
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`55-64`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 10 | 1. 44.7% **********************
Dimensions explaining 80% of inertia: 3 | 2. 24.0% ************
Active modalities: 29 | 3. 14.4% *******
Supplementary modalities: 0 | 4. 6.8% ****
Individuals: 183 | 5. 4.9% **
Share of passive mass: 0 | 6. 2.3% *
Number of passive modalities: 0 | 7. 1.7% *
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`65+`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 10 | 1. 44.3% **********************
Dimensions explaining 80% of inertia: 3 | 2. 22.3% ***********
Active modalities: 29 | 3. 17.8% *********
Supplementary modalities: 0 | 4. 7.1% ****
Individuals: 242 | 5. 4.1% **
Share of passive mass: 0 | 6. 2.4% *
Number of passive modalities: 0 | 7. 1.0%
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$measures
$measures$`18-24`
$measures$`18-24`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.076734151 -0.30946799 -0.05286069 -0.11719995 0.08022280
CSA: 2 -0.184748173 -0.46906591 0.01747110 0.28503862 -0.10680123
CSA: 3 -0.301137515 -0.09830629 -0.56098673 -0.47849738 -0.78030490
CSA: 4 -0.046036839 0.44873998 -0.17992359 -0.07438792 0.32818496
CSA: 5 -0.008820127 0.22985246 0.09324672 0.60205905 -0.06733785
$measures$`18-24`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 94.40087 108.02717 93.03011 96.73053 85.39863
CSA: 2 100.64645 117.97368 88.99893 73.43884 96.13095
CSA: 3 107.52594 95.64165 124.12406 118.58731 141.28850
CSA: 4 92.63865 63.33713 100.36531 94.26605 70.84135
CSA: 5 90.50536 76.71161 84.64958 52.98249 93.86110
$measures$`18-24`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.12868826 -0.3501078 -0.05288217 -0.11796857 0.08022348
CSA: 2 -0.30983493 -0.5306643 0.01747820 0.28690796 -0.10680214
CSA: 3 -0.50502758 -0.1112160 -0.56121463 -0.48163546 -0.78031154
CSA: 4 -0.07720683 0.5076692 -0.17999669 -0.07487577 0.32818776
CSA: 5 -0.01479194 0.2600370 0.09328460 0.60600747 -0.06733842
$measures$`25-34`
$measures$`25-34`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2303222 -0.5030289 0.04303448 0.146774390 0.1183447
CSA: 2 -0.2176834 0.2401092 -0.04146404 0.805608179 0.3110831
CSA: 3 -0.4197962 0.3857388 -0.53966153 -0.269486489 0.1984803
CSA: 4 -0.4277429 -0.3379392 0.08564228 -0.046612783 -0.2055944
CSA: 5 0.3125216 0.1591670 0.19677801 -0.007857034 0.6714261
$measures$`25-34`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 76.68396 120.20060 87.53354 81.55996 83.20342
CSA: 2 102.57301 76.10701 92.37640 36.33097 71.87548
CSA: 3 114.82172 67.31039 122.66060 105.63371 78.55190
CSA: 4 115.32440 109.75137 85.08704 92.67168 101.86430
CSA: 5 71.78874 80.84145 78.65139 90.45018 47.82277
$measures$`25-34`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2565141 -0.5306510 0.04304947 0.147334286 0.1191058
CSA: 2 -0.2424380 0.2532940 -0.04147848 0.808681313 0.3130839
CSA: 3 -0.4675348 0.4069203 -0.53984951 -0.270514492 0.1997568
CSA: 4 -0.4763851 -0.3564960 0.08567211 -0.046790596 -0.2069167
CSA: 5 0.3480611 0.1679071 0.19684655 -0.007887006 0.6757444
$measures$`35-44`
$measures$`35-44`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5595217 0.40581877 -0.6067015 0.4438080 -0.1962401
CSA: 2 0.4836340 -0.02790448 0.1710512 0.5273438 0.3865687
CSA: 3 0.2033560 -0.34177575 -0.5027149 -0.1106506 0.1410035
CSA: 4 -0.1118360 0.33831480 -0.2029161 -0.3268580 0.7313532
CSA: 5 0.1131036 -0.25678333 -0.3308361 0.2313711 -0.1002945
$measures$`35-44`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 124.02272 66.05755 127.35138 63.65290 101.31717
CSA: 2 61.07699 91.59902 80.15105 58.17384 67.25884
CSA: 3 78.26672 109.98510 120.17978 96.35282 81.89408
CSA: 4 96.42116 70.22576 101.70754 109.07818 43.00004
CSA: 5 83.50574 104.87928 109.31953 76.62219 95.75613
$measures$`35-44`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5660598 0.40781532 -0.6091258 0.4438083 -0.1986214
CSA: 2 0.4892854 -0.02804177 0.1717347 0.5273441 0.3912597
CSA: 3 0.2057323 -0.34345722 -0.5047236 -0.1106506 0.1427146
CSA: 4 -0.1131428 0.33997924 -0.2037269 -0.3268582 0.7402281
CSA: 5 0.1144252 -0.25804665 -0.3321580 0.2313712 -0.1015115
$measures$`45-54`
$measures$`45-54`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70312108 -0.62270579 -0.09615920 0.1793254 -0.06500475
CSA: 2 0.12748305 -0.26689849 -0.22325601 0.2338451 0.07156862
CSA: 3 0.30429031 0.47910328 -0.66918547 0.1945774 0.11192706
CSA: 4 -0.02354263 0.12595850 0.36433780 0.8137498 -0.19953696
CSA: 5 0.23259159 0.01071123 -0.03595222 -0.1670874 0.33457238
$measures$`45-54`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 45.32205 128.51400 95.51804 79.66953 93.72713
CSA: 2 82.67583 105.47979 102.90035 76.47644 85.89591
CSA: 3 72.28453 61.37315 132.00423 78.77996 83.57359
CSA: 4 91.34902 82.76389 68.63316 35.53606 101.50988
CSA: 5 76.55030 89.38628 92.06035 99.61852 70.45346
$measures$`45-54`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70593703 -0.62744834 -0.09649189 0.1798016 -0.06500513
CSA: 2 0.12799361 -0.26893120 -0.22402843 0.2344661 0.07156903
CSA: 3 0.30550897 0.48275215 -0.67150073 0.1950941 0.11192771
CSA: 4 -0.02363692 0.12691781 0.36559834 0.8159107 -0.19953812
CSA: 5 0.23352310 0.01079281 -0.03607661 -0.1675311 0.33457431
$measures$`55-64`
$measures$`55-64`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.5347288 -0.38670299 -0.82415297 -0.077723481 0.2811693
CSA: 2 0.3187823 -0.18851033 -0.05200255 0.639032571 -0.4609720
CSA: 3 0.1374224 0.04162529 0.08377287 0.007804016 -0.1959768
CSA: 4 -0.1335596 -0.06625548 -0.23591409 0.302474859 -0.1113137
CSA: 5 -0.1332967 0.39395514 -0.04384327 0.055280983 0.3275909
$measures$`55-64`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 57.67448 112.74950 145.50271 94.45772 73.66999
CSA: 2 71.41070 100.86586 92.98087 50.28028 117.44984
CSA: 3 82.10128 87.61436 85.19454 89.55286 101.30179
CSA: 4 97.67534 93.79894 103.64551 72.39369 96.39105
CSA: 5 97.66014 66.79918 92.51284 86.83102 70.87738
$measures$`55-64`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.6396863 -0.39465248 -0.82432307 -0.077793199 0.2826200
CSA: 2 0.3813534 -0.19238555 -0.05201328 0.639605784 -0.4633504
CSA: 3 0.1643959 0.04248099 0.08379016 0.007811017 -0.1969880
CSA: 4 -0.1597749 -0.06761750 -0.23596278 0.302746179 -0.1118881
CSA: 5 -0.1594605 0.40205372 -0.04385232 0.055330570 0.3292811
$measures$`65+`
$measures$`65+`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5217486 0.51606717 0.2250273 0.06649309 -0.055687773
CSA: 2 -0.1523776 -0.03368257 0.2866688 0.17660897 0.124533841
CSA: 3 0.1115142 0.05792623 0.5300491 0.12390550 -0.335782130
CSA: 4 -0.2236673 0.02997867 0.2491631 0.30002464 0.446542133
CSA: 5 0.4574157 -0.04571364 -0.2549991 0.17916501 -0.007165963
$measures$`65+`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 121.44961 58.93119 76.99552 86.18741 93.19233
CSA: 2 98.76474 91.93023 73.34137 79.82770 82.84616
CSA: 3 83.59739 86.67921 57.99123 82.88245 109.62011
CSA: 4 102.92452 88.28209 75.57201 72.54092 63.47795
CSA: 5 62.77953 92.62011 104.77353 79.67887 90.41058
$measures$`65+`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5789765 0.61262265 0.2250273 0.06687569 -0.057368621
CSA: 2 -0.1690911 -0.03998454 0.2866688 0.17762517 0.128292698
CSA: 3 0.1237457 0.06876415 0.5300491 0.12461845 -0.345917182
CSA: 4 -0.2482002 0.03558764 0.2491631 0.30175098 0.460020301
CSA: 5 0.5075872 -0.05426660 -0.2549991 0.18019592 -0.007382256
$`18-24`
$`18-24`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.076734151 -0.30946799 -0.05286069 -0.11719995 0.08022280
CSA: 2 -0.184748173 -0.46906591 0.01747110 0.28503862 -0.10680123
CSA: 3 -0.301137515 -0.09830629 -0.56098673 -0.47849738 -0.78030490
CSA: 4 -0.046036839 0.44873998 -0.17992359 -0.07438792 0.32818496
CSA: 5 -0.008820127 0.22985246 0.09324672 0.60205905 -0.06733785
$`18-24`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 94.40087 108.02717 93.03011 96.73053 85.39863
CSA: 2 100.64645 117.97368 88.99893 73.43884 96.13095
CSA: 3 107.52594 95.64165 124.12406 118.58731 141.28850
CSA: 4 92.63865 63.33713 100.36531 94.26605 70.84135
CSA: 5 90.50536 76.71161 84.64958 52.98249 93.86110
$`18-24`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.12868826 -0.3501078 -0.05288217 -0.11796857 0.08022348
CSA: 2 -0.30983493 -0.5306643 0.01747820 0.28690796 -0.10680214
CSA: 3 -0.50502758 -0.1112160 -0.56121463 -0.48163546 -0.78031154
CSA: 4 -0.07720683 0.5076692 -0.17999669 -0.07487577 0.32818776
CSA: 5 -0.01479194 0.2600370 0.09328460 0.60600747 -0.06733842
$`25-34`
$`25-34`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2303222 -0.5030289 0.04303448 0.146774390 0.1183447
CSA: 2 -0.2176834 0.2401092 -0.04146404 0.805608179 0.3110831
CSA: 3 -0.4197962 0.3857388 -0.53966153 -0.269486489 0.1984803
CSA: 4 -0.4277429 -0.3379392 0.08564228 -0.046612783 -0.2055944
CSA: 5 0.3125216 0.1591670 0.19677801 -0.007857034 0.6714261
$`25-34`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 76.68396 120.20060 87.53354 81.55996 83.20342
CSA: 2 102.57301 76.10701 92.37640 36.33097 71.87548
CSA: 3 114.82172 67.31039 122.66060 105.63371 78.55190
CSA: 4 115.32440 109.75137 85.08704 92.67168 101.86430
CSA: 5 71.78874 80.84145 78.65139 90.45018 47.82277
$`25-34`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2565141 -0.5306510 0.04304947 0.147334286 0.1191058
CSA: 2 -0.2424380 0.2532940 -0.04147848 0.808681313 0.3130839
CSA: 3 -0.4675348 0.4069203 -0.53984951 -0.270514492 0.1997568
CSA: 4 -0.4763851 -0.3564960 0.08567211 -0.046790596 -0.2069167
CSA: 5 0.3480611 0.1679071 0.19684655 -0.007887006 0.6757444
$`35-44`
$`35-44`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5595217 0.40581877 -0.6067015 0.4438080 -0.1962401
CSA: 2 0.4836340 -0.02790448 0.1710512 0.5273438 0.3865687
CSA: 3 0.2033560 -0.34177575 -0.5027149 -0.1106506 0.1410035
CSA: 4 -0.1118360 0.33831480 -0.2029161 -0.3268580 0.7313532
CSA: 5 0.1131036 -0.25678333 -0.3308361 0.2313711 -0.1002945
$`35-44`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 124.02272 66.05755 127.35138 63.65290 101.31717
CSA: 2 61.07699 91.59902 80.15105 58.17384 67.25884
CSA: 3 78.26672 109.98510 120.17978 96.35282 81.89408
CSA: 4 96.42116 70.22576 101.70754 109.07818 43.00004
CSA: 5 83.50574 104.87928 109.31953 76.62219 95.75613
$`35-44`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5660598 0.40781532 -0.6091258 0.4438083 -0.1986214
CSA: 2 0.4892854 -0.02804177 0.1717347 0.5273441 0.3912597
CSA: 3 0.2057323 -0.34345722 -0.5047236 -0.1106506 0.1427146
CSA: 4 -0.1131428 0.33997924 -0.2037269 -0.3268582 0.7402281
CSA: 5 0.1144252 -0.25804665 -0.3321580 0.2313712 -0.1015115
$`45-54`
$`45-54`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70312108 -0.62270579 -0.09615920 0.1793254 -0.06500475
CSA: 2 0.12748305 -0.26689849 -0.22325601 0.2338451 0.07156862
CSA: 3 0.30429031 0.47910328 -0.66918547 0.1945774 0.11192706
CSA: 4 -0.02354263 0.12595850 0.36433780 0.8137498 -0.19953696
CSA: 5 0.23259159 0.01071123 -0.03595222 -0.1670874 0.33457238
$`45-54`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 45.32205 128.51400 95.51804 79.66953 93.72713
CSA: 2 82.67583 105.47979 102.90035 76.47644 85.89591
CSA: 3 72.28453 61.37315 132.00423 78.77996 83.57359
CSA: 4 91.34902 82.76389 68.63316 35.53606 101.50988
CSA: 5 76.55030 89.38628 92.06035 99.61852 70.45346
$`45-54`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70593703 -0.62744834 -0.09649189 0.1798016 -0.06500513
CSA: 2 0.12799361 -0.26893120 -0.22402843 0.2344661 0.07156903
CSA: 3 0.30550897 0.48275215 -0.67150073 0.1950941 0.11192771
CSA: 4 -0.02363692 0.12691781 0.36559834 0.8159107 -0.19953812
CSA: 5 0.23352310 0.01079281 -0.03607661 -0.1675311 0.33457431
$`55-64`
$`55-64`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.5347288 -0.38670299 -0.82415297 -0.077723481 0.2811693
CSA: 2 0.3187823 -0.18851033 -0.05200255 0.639032571 -0.4609720
CSA: 3 0.1374224 0.04162529 0.08377287 0.007804016 -0.1959768
CSA: 4 -0.1335596 -0.06625548 -0.23591409 0.302474859 -0.1113137
CSA: 5 -0.1332967 0.39395514 -0.04384327 0.055280983 0.3275909
$`55-64`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 57.67448 112.74950 145.50271 94.45772 73.66999
CSA: 2 71.41070 100.86586 92.98087 50.28028 117.44984
CSA: 3 82.10128 87.61436 85.19454 89.55286 101.30179
CSA: 4 97.67534 93.79894 103.64551 72.39369 96.39105
CSA: 5 97.66014 66.79918 92.51284 86.83102 70.87738
$`55-64`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.6396863 -0.39465248 -0.82432307 -0.077793199 0.2826200
CSA: 2 0.3813534 -0.19238555 -0.05201328 0.639605784 -0.4633504
CSA: 3 0.1643959 0.04248099 0.08379016 0.007811017 -0.1969880
CSA: 4 -0.1597749 -0.06761750 -0.23596278 0.302746179 -0.1118881
CSA: 5 -0.1594605 0.40205372 -0.04385232 0.055330570 0.3292811
$`65+`
$`65+`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5217486 0.51606717 0.2250273 0.06649309 -0.055687773
CSA: 2 -0.1523776 -0.03368257 0.2866688 0.17660897 0.124533841
CSA: 3 0.1115142 0.05792623 0.5300491 0.12390550 -0.335782130
CSA: 4 -0.2236673 0.02997867 0.2491631 0.30002464 0.446542133
CSA: 5 0.4574157 -0.04571364 -0.2549991 0.17916501 -0.007165963
$`65+`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 121.44961 58.93119 76.99552 86.18741 93.19233
CSA: 2 98.76474 91.93023 73.34137 79.82770 82.84616
CSA: 3 83.59739 86.67921 57.99123 82.88245 109.62011
CSA: 4 102.92452 88.28209 75.57201 72.54092 63.47795
CSA: 5 62.77953 92.62011 104.77353 79.67887 90.41058
$`65+`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5789765 0.61262265 0.2250273 0.06687569 -0.057368621
CSA: 2 -0.1690911 -0.03998454 0.2866688 0.17762517 0.128292698
CSA: 3 0.1237457 0.06876415 0.5300491 0.12461845 -0.345917182
CSA: 4 -0.2482002 0.03558764 0.2491631 0.30175098 0.460020301
CSA: 5 0.5075872 -0.05426660 -0.2549991 0.18019592 -0.007382256
soc.ca documentation built on Sept. 5, 2021, 5:21 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/functions_analysis.r
Description
csa.all performs a class specific correspondence analysis for each
level in a factor variable. Returns a list with soc.csa objects and a list of
measures defined by csa.measures
Usage
1 |
Arguments
object |
is a soc.ca class object created with soc.mca |
variable |
a factor with the same length and order as the active variables that created the soc.ca object |
dim |
is the dimension analyzed |
... |
further arguments are directed to csa.measures |
Value
results |
a list of soc.csa result objects |
cor |
a list of correlation matrixes |
cosines |
a list of matrixes with cosine values |
angles |
a list of matrixes with cosine angles between dimensions |
See Also
soc.csa, cor, csa.measures
Examples
1 2 3 |
Example output
Loading required package: ggplot2
soc.ca> data(taste)
soc.ca> # Create a data frame of factors containing all the active variables
soc.ca> taste <- taste[which(taste$Isup == 'Active'), ]
soc.ca> attach(taste)
soc.ca> active <- data.frame(TV, Film, Art, Eat)
soc.ca> sup <- data.frame(Gender, Age, Income)
soc.ca> detach(taste)
soc.ca> # Runs the analysis
soc.ca> result <- soc.mca(active, sup)
$results
$results$`18-24`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 9 | 1. 42.3% *********************
Dimensions explaining 80% of inertia: 3 | 2. 26.2% *************
Active modalities: 29 | 3. 14.1% *******
Supplementary modalities: 0 | 4. 8.3% ****
Individuals: 93 | 5. 6.3% ***
Share of passive mass: 0 | 6. 1.6% *
Number of passive modalities: 0 | 7. 1.0%
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`25-34`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 11 | 1. 28.9% **************
Dimensions explaining 80% of inertia: 4 | 2. 21.6% ***********
Active modalities: 29 | 3. 18.8% **********
Supplementary modalities: 0 | 4. 12.5% ******
Individuals: 248 | 5. 6.9% ****
Share of passive mass: 0 | 6. 3.9% **
Number of passive modalities: 0 | 7. 3.5% **
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`35-44`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 12 | 1. 44.5% **********************
Dimensions explaining 80% of inertia: 4 | 2. 15.2% ********
Active modalities: 29 | 3. 12.5% ******
Supplementary modalities: 0 | 4. 7.8% ****
Individuals: 258 | 5. 6.6% ****
Share of passive mass: 0 | 6. 4.5% **
Number of passive modalities: 0 | 7. 3.8% **
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`45-54`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 11 | 1. 33.8% *****************
Dimensions explaining 80% of inertia: 4 | 2. 23.4% ************
Active modalities: 29 | 3. 16.2% ********
Supplementary modalities: 0 | 4. 11.0% ******
Individuals: 191 | 5. 7.3% ****
Share of passive mass: 0 | 6. 3.6% **
Number of passive modalities: 0 | 7. 2.3% *
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`55-64`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 10 | 1. 44.7% **********************
Dimensions explaining 80% of inertia: 3 | 2. 24.0% ************
Active modalities: 29 | 3. 14.4% *******
Supplementary modalities: 0 | 4. 6.8% ****
Individuals: 183 | 5. 4.9% **
Share of passive mass: 0 | 6. 2.3% *
Number of passive modalities: 0 | 7. 1.7% *
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$results$`65+`
Class Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 10 | 1. 44.3% **********************
Dimensions explaining 80% of inertia: 3 | 2. 22.3% ***********
Active modalities: 29 | 3. 17.8% *********
Supplementary modalities: 0 | 4. 7.1% ****
Individuals: 242 | 5. 4.1% **
Share of passive mass: 0 | 6. 2.4% *
Number of passive modalities: 0 | 7. 1.0%
The 4 active variables: [No. modalities - share of variance]
TV [8 - 28%] Film [8 - 28%] Art [7 - 24%]
Eat [6 - 20%]
$measures
$measures$`18-24`
$measures$`18-24`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.076734151 -0.30946799 -0.05286069 -0.11719995 0.08022280
CSA: 2 -0.184748173 -0.46906591 0.01747110 0.28503862 -0.10680123
CSA: 3 -0.301137515 -0.09830629 -0.56098673 -0.47849738 -0.78030490
CSA: 4 -0.046036839 0.44873998 -0.17992359 -0.07438792 0.32818496
CSA: 5 -0.008820127 0.22985246 0.09324672 0.60205905 -0.06733785
$measures$`18-24`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 94.40087 108.02717 93.03011 96.73053 85.39863
CSA: 2 100.64645 117.97368 88.99893 73.43884 96.13095
CSA: 3 107.52594 95.64165 124.12406 118.58731 141.28850
CSA: 4 92.63865 63.33713 100.36531 94.26605 70.84135
CSA: 5 90.50536 76.71161 84.64958 52.98249 93.86110
$measures$`18-24`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.12868826 -0.3501078 -0.05288217 -0.11796857 0.08022348
CSA: 2 -0.30983493 -0.5306643 0.01747820 0.28690796 -0.10680214
CSA: 3 -0.50502758 -0.1112160 -0.56121463 -0.48163546 -0.78031154
CSA: 4 -0.07720683 0.5076692 -0.17999669 -0.07487577 0.32818776
CSA: 5 -0.01479194 0.2600370 0.09328460 0.60600747 -0.06733842
$measures$`25-34`
$measures$`25-34`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2303222 -0.5030289 0.04303448 0.146774390 0.1183447
CSA: 2 -0.2176834 0.2401092 -0.04146404 0.805608179 0.3110831
CSA: 3 -0.4197962 0.3857388 -0.53966153 -0.269486489 0.1984803
CSA: 4 -0.4277429 -0.3379392 0.08564228 -0.046612783 -0.2055944
CSA: 5 0.3125216 0.1591670 0.19677801 -0.007857034 0.6714261
$measures$`25-34`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 76.68396 120.20060 87.53354 81.55996 83.20342
CSA: 2 102.57301 76.10701 92.37640 36.33097 71.87548
CSA: 3 114.82172 67.31039 122.66060 105.63371 78.55190
CSA: 4 115.32440 109.75137 85.08704 92.67168 101.86430
CSA: 5 71.78874 80.84145 78.65139 90.45018 47.82277
$measures$`25-34`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2565141 -0.5306510 0.04304947 0.147334286 0.1191058
CSA: 2 -0.2424380 0.2532940 -0.04147848 0.808681313 0.3130839
CSA: 3 -0.4675348 0.4069203 -0.53984951 -0.270514492 0.1997568
CSA: 4 -0.4763851 -0.3564960 0.08567211 -0.046790596 -0.2069167
CSA: 5 0.3480611 0.1679071 0.19684655 -0.007887006 0.6757444
$measures$`35-44`
$measures$`35-44`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5595217 0.40581877 -0.6067015 0.4438080 -0.1962401
CSA: 2 0.4836340 -0.02790448 0.1710512 0.5273438 0.3865687
CSA: 3 0.2033560 -0.34177575 -0.5027149 -0.1106506 0.1410035
CSA: 4 -0.1118360 0.33831480 -0.2029161 -0.3268580 0.7313532
CSA: 5 0.1131036 -0.25678333 -0.3308361 0.2313711 -0.1002945
$measures$`35-44`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 124.02272 66.05755 127.35138 63.65290 101.31717
CSA: 2 61.07699 91.59902 80.15105 58.17384 67.25884
CSA: 3 78.26672 109.98510 120.17978 96.35282 81.89408
CSA: 4 96.42116 70.22576 101.70754 109.07818 43.00004
CSA: 5 83.50574 104.87928 109.31953 76.62219 95.75613
$measures$`35-44`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5660598 0.40781532 -0.6091258 0.4438083 -0.1986214
CSA: 2 0.4892854 -0.02804177 0.1717347 0.5273441 0.3912597
CSA: 3 0.2057323 -0.34345722 -0.5047236 -0.1106506 0.1427146
CSA: 4 -0.1131428 0.33997924 -0.2037269 -0.3268582 0.7402281
CSA: 5 0.1144252 -0.25804665 -0.3321580 0.2313712 -0.1015115
$measures$`45-54`
$measures$`45-54`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70312108 -0.62270579 -0.09615920 0.1793254 -0.06500475
CSA: 2 0.12748305 -0.26689849 -0.22325601 0.2338451 0.07156862
CSA: 3 0.30429031 0.47910328 -0.66918547 0.1945774 0.11192706
CSA: 4 -0.02354263 0.12595850 0.36433780 0.8137498 -0.19953696
CSA: 5 0.23259159 0.01071123 -0.03595222 -0.1670874 0.33457238
$measures$`45-54`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 45.32205 128.51400 95.51804 79.66953 93.72713
CSA: 2 82.67583 105.47979 102.90035 76.47644 85.89591
CSA: 3 72.28453 61.37315 132.00423 78.77996 83.57359
CSA: 4 91.34902 82.76389 68.63316 35.53606 101.50988
CSA: 5 76.55030 89.38628 92.06035 99.61852 70.45346
$measures$`45-54`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70593703 -0.62744834 -0.09649189 0.1798016 -0.06500513
CSA: 2 0.12799361 -0.26893120 -0.22402843 0.2344661 0.07156903
CSA: 3 0.30550897 0.48275215 -0.67150073 0.1950941 0.11192771
CSA: 4 -0.02363692 0.12691781 0.36559834 0.8159107 -0.19953812
CSA: 5 0.23352310 0.01079281 -0.03607661 -0.1675311 0.33457431
$measures$`55-64`
$measures$`55-64`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.5347288 -0.38670299 -0.82415297 -0.077723481 0.2811693
CSA: 2 0.3187823 -0.18851033 -0.05200255 0.639032571 -0.4609720
CSA: 3 0.1374224 0.04162529 0.08377287 0.007804016 -0.1959768
CSA: 4 -0.1335596 -0.06625548 -0.23591409 0.302474859 -0.1113137
CSA: 5 -0.1332967 0.39395514 -0.04384327 0.055280983 0.3275909
$measures$`55-64`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 57.67448 112.74950 145.50271 94.45772 73.66999
CSA: 2 71.41070 100.86586 92.98087 50.28028 117.44984
CSA: 3 82.10128 87.61436 85.19454 89.55286 101.30179
CSA: 4 97.67534 93.79894 103.64551 72.39369 96.39105
CSA: 5 97.66014 66.79918 92.51284 86.83102 70.87738
$measures$`55-64`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.6396863 -0.39465248 -0.82432307 -0.077793199 0.2826200
CSA: 2 0.3813534 -0.19238555 -0.05201328 0.639605784 -0.4633504
CSA: 3 0.1643959 0.04248099 0.08379016 0.007811017 -0.1969880
CSA: 4 -0.1597749 -0.06761750 -0.23596278 0.302746179 -0.1118881
CSA: 5 -0.1594605 0.40205372 -0.04385232 0.055330570 0.3292811
$measures$`65+`
$measures$`65+`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5217486 0.51606717 0.2250273 0.06649309 -0.055687773
CSA: 2 -0.1523776 -0.03368257 0.2866688 0.17660897 0.124533841
CSA: 3 0.1115142 0.05792623 0.5300491 0.12390550 -0.335782130
CSA: 4 -0.2236673 0.02997867 0.2491631 0.30002464 0.446542133
CSA: 5 0.4574157 -0.04571364 -0.2549991 0.17916501 -0.007165963
$measures$`65+`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 121.44961 58.93119 76.99552 86.18741 93.19233
CSA: 2 98.76474 91.93023 73.34137 79.82770 82.84616
CSA: 3 83.59739 86.67921 57.99123 82.88245 109.62011
CSA: 4 102.92452 88.28209 75.57201 72.54092 63.47795
CSA: 5 62.77953 92.62011 104.77353 79.67887 90.41058
$measures$`65+`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5789765 0.61262265 0.2250273 0.06687569 -0.057368621
CSA: 2 -0.1690911 -0.03998454 0.2866688 0.17762517 0.128292698
CSA: 3 0.1237457 0.06876415 0.5300491 0.12461845 -0.345917182
CSA: 4 -0.2482002 0.03558764 0.2491631 0.30175098 0.460020301
CSA: 5 0.5075872 -0.05426660 -0.2549991 0.18019592 -0.007382256
$`18-24`
$`18-24`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.076734151 -0.30946799 -0.05286069 -0.11719995 0.08022280
CSA: 2 -0.184748173 -0.46906591 0.01747110 0.28503862 -0.10680123
CSA: 3 -0.301137515 -0.09830629 -0.56098673 -0.47849738 -0.78030490
CSA: 4 -0.046036839 0.44873998 -0.17992359 -0.07438792 0.32818496
CSA: 5 -0.008820127 0.22985246 0.09324672 0.60205905 -0.06733785
$`18-24`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 94.40087 108.02717 93.03011 96.73053 85.39863
CSA: 2 100.64645 117.97368 88.99893 73.43884 96.13095
CSA: 3 107.52594 95.64165 124.12406 118.58731 141.28850
CSA: 4 92.63865 63.33713 100.36531 94.26605 70.84135
CSA: 5 90.50536 76.71161 84.64958 52.98249 93.86110
$`18-24`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.12868826 -0.3501078 -0.05288217 -0.11796857 0.08022348
CSA: 2 -0.30983493 -0.5306643 0.01747820 0.28690796 -0.10680214
CSA: 3 -0.50502758 -0.1112160 -0.56121463 -0.48163546 -0.78031154
CSA: 4 -0.07720683 0.5076692 -0.17999669 -0.07487577 0.32818776
CSA: 5 -0.01479194 0.2600370 0.09328460 0.60600747 -0.06733842
$`25-34`
$`25-34`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2303222 -0.5030289 0.04303448 0.146774390 0.1183447
CSA: 2 -0.2176834 0.2401092 -0.04146404 0.805608179 0.3110831
CSA: 3 -0.4197962 0.3857388 -0.53966153 -0.269486489 0.1984803
CSA: 4 -0.4277429 -0.3379392 0.08564228 -0.046612783 -0.2055944
CSA: 5 0.3125216 0.1591670 0.19677801 -0.007857034 0.6714261
$`25-34`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 76.68396 120.20060 87.53354 81.55996 83.20342
CSA: 2 102.57301 76.10701 92.37640 36.33097 71.87548
CSA: 3 114.82172 67.31039 122.66060 105.63371 78.55190
CSA: 4 115.32440 109.75137 85.08704 92.67168 101.86430
CSA: 5 71.78874 80.84145 78.65139 90.45018 47.82277
$`25-34`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.2565141 -0.5306510 0.04304947 0.147334286 0.1191058
CSA: 2 -0.2424380 0.2532940 -0.04147848 0.808681313 0.3130839
CSA: 3 -0.4675348 0.4069203 -0.53984951 -0.270514492 0.1997568
CSA: 4 -0.4763851 -0.3564960 0.08567211 -0.046790596 -0.2069167
CSA: 5 0.3480611 0.1679071 0.19684655 -0.007887006 0.6757444
$`35-44`
$`35-44`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5595217 0.40581877 -0.6067015 0.4438080 -0.1962401
CSA: 2 0.4836340 -0.02790448 0.1710512 0.5273438 0.3865687
CSA: 3 0.2033560 -0.34177575 -0.5027149 -0.1106506 0.1410035
CSA: 4 -0.1118360 0.33831480 -0.2029161 -0.3268580 0.7313532
CSA: 5 0.1131036 -0.25678333 -0.3308361 0.2313711 -0.1002945
$`35-44`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 124.02272 66.05755 127.35138 63.65290 101.31717
CSA: 2 61.07699 91.59902 80.15105 58.17384 67.25884
CSA: 3 78.26672 109.98510 120.17978 96.35282 81.89408
CSA: 4 96.42116 70.22576 101.70754 109.07818 43.00004
CSA: 5 83.50574 104.87928 109.31953 76.62219 95.75613
$`35-44`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5660598 0.40781532 -0.6091258 0.4438083 -0.1986214
CSA: 2 0.4892854 -0.02804177 0.1717347 0.5273441 0.3912597
CSA: 3 0.2057323 -0.34345722 -0.5047236 -0.1106506 0.1427146
CSA: 4 -0.1131428 0.33997924 -0.2037269 -0.3268582 0.7402281
CSA: 5 0.1144252 -0.25804665 -0.3321580 0.2313712 -0.1015115
$`45-54`
$`45-54`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70312108 -0.62270579 -0.09615920 0.1793254 -0.06500475
CSA: 2 0.12748305 -0.26689849 -0.22325601 0.2338451 0.07156862
CSA: 3 0.30429031 0.47910328 -0.66918547 0.1945774 0.11192706
CSA: 4 -0.02354263 0.12595850 0.36433780 0.8137498 -0.19953696
CSA: 5 0.23259159 0.01071123 -0.03595222 -0.1670874 0.33457238
$`45-54`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 45.32205 128.51400 95.51804 79.66953 93.72713
CSA: 2 82.67583 105.47979 102.90035 76.47644 85.89591
CSA: 3 72.28453 61.37315 132.00423 78.77996 83.57359
CSA: 4 91.34902 82.76389 68.63316 35.53606 101.50988
CSA: 5 76.55030 89.38628 92.06035 99.61852 70.45346
$`45-54`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.70593703 -0.62744834 -0.09649189 0.1798016 -0.06500513
CSA: 2 0.12799361 -0.26893120 -0.22402843 0.2344661 0.07156903
CSA: 3 0.30550897 0.48275215 -0.67150073 0.1950941 0.11192771
CSA: 4 -0.02363692 0.12691781 0.36559834 0.8159107 -0.19953812
CSA: 5 0.23352310 0.01079281 -0.03607661 -0.1675311 0.33457431
$`55-64`
$`55-64`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.5347288 -0.38670299 -0.82415297 -0.077723481 0.2811693
CSA: 2 0.3187823 -0.18851033 -0.05200255 0.639032571 -0.4609720
CSA: 3 0.1374224 0.04162529 0.08377287 0.007804016 -0.1959768
CSA: 4 -0.1335596 -0.06625548 -0.23591409 0.302474859 -0.1113137
CSA: 5 -0.1332967 0.39395514 -0.04384327 0.055280983 0.3275909
$`55-64`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 57.67448 112.74950 145.50271 94.45772 73.66999
CSA: 2 71.41070 100.86586 92.98087 50.28028 117.44984
CSA: 3 82.10128 87.61436 85.19454 89.55286 101.30179
CSA: 4 97.67534 93.79894 103.64551 72.39369 96.39105
CSA: 5 97.66014 66.79918 92.51284 86.83102 70.87738
$`55-64`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 0.6396863 -0.39465248 -0.82432307 -0.077793199 0.2826200
CSA: 2 0.3813534 -0.19238555 -0.05201328 0.639605784 -0.4633504
CSA: 3 0.1643959 0.04248099 0.08379016 0.007811017 -0.1969880
CSA: 4 -0.1597749 -0.06761750 -0.23596278 0.302746179 -0.1118881
CSA: 5 -0.1594605 0.40205372 -0.04385232 0.055330570 0.3292811
$`65+`
$`65+`$cosines
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5217486 0.51606717 0.2250273 0.06649309 -0.055687773
CSA: 2 -0.1523776 -0.03368257 0.2866688 0.17660897 0.124533841
CSA: 3 0.1115142 0.05792623 0.5300491 0.12390550 -0.335782130
CSA: 4 -0.2236673 0.02997867 0.2491631 0.30002464 0.446542133
CSA: 5 0.4574157 -0.04571364 -0.2549991 0.17916501 -0.007165963
$`65+`$angles
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 121.44961 58.93119 76.99552 86.18741 93.19233
CSA: 2 98.76474 91.93023 73.34137 79.82770 82.84616
CSA: 3 83.59739 86.67921 57.99123 82.88245 109.62011
CSA: 4 102.92452 88.28209 75.57201 72.54092 63.47795
CSA: 5 62.77953 92.62011 104.77353 79.67887 90.41058
$`65+`$cor
MCA: 1 MCA: 2 MCA: 3 MCA: 4 MCA: 5
CSA: 1 -0.5789765 0.61262265 0.2250273 0.06687569 -0.057368621
CSA: 2 -0.1690911 -0.03998454 0.2866688 0.17762517 0.128292698
CSA: 3 0.1237457 0.06876415 0.5300491 0.12461845 -0.345917182
CSA: 4 -0.2482002 0.03558764 0.2491631 0.30175098 0.460020301
CSA: 5 0.5075872 -0.05426660 -0.2549991 0.18019592 -0.007382256
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