Decent Work
LJ,AJ,CC,YJ
9/20/2018
1. Descriptive Analysis
## vars n mean sd median trimmed mad min max range
## SEX* 1 681 1.73 0.45 2 1.78 0.00 1 2 1
## AGE* 2 681 1.99 1.10 2 1.86 1.48 1 4 3
## EDU* 3 681 3.17 1.36 4 3.22 1.48 1 5 4
## CHILD 4 14 1.43 0.51 1 1.42 0.00 1 2 1
## MARRIED 5 681 1.93 0.65 2 1.91 0.00 1 5 4
## EMP 6 681 1.00 0.00 1 1.00 0.00 1 1 0
## PARTFULL* 7 673 1.17 0.38 1 1.09 0.00 1 2 1
## EMPSIZE 8 299 7.32 3.03 8 7.56 2.97 1 11 10
## LYBTINCOME 9 645 2196.18 1366.19 2000 2071.73 1008.17 30 20000 19970
## LYATINCOME 10 651 1973.50 1037.58 1800 1889.99 889.56 30 7440 7410
## OVERALLSAT 11 678 2.80 0.65 3 2.76 0.00 1 5 4
## skew kurtosis se
## SEX* -1.01 -0.99 0.02
## AGE* 0.79 -0.74 0.04
## EDU* -0.29 -1.32 0.05
## CHILD 0.26 -2.07 0.14
## MARRIED 2.19 9.45 0.03
## EMP NaN NaN 0.00
## PARTFULL* 1.73 1.00 0.01
## EMPSIZE -0.54 -1.12 0.18
## LYBTINCOME 4.05 44.40 53.79
## LYATINCOME 1.07 2.46 40.67
## OVERALLSAT 0.13 0.22 0.03##
## Female Male
## 187 494##
## H30L40 H40L50 H50 L30
## 298 208 59 116##
## G2yr G4yr GG GHIGH UMIDDLE
## 102 166 33 272 108##
## FULL PART
## 557 116##
## 30 50 80 155 180 200 220 240 260 270 275 288
## 1 1 2 1 1 1 1 1 2 1 1 1
## 300 330 360 370 400 420 450 480 500 520 580 600
## 2 1 1 1 2 2 1 1 2 1 1 8
## 624 648 650 660 672 680 690 700 720 732 800 840
## 1 1 1 3 1 1 1 3 10 1 6 7
## 850 860 880 900 960 1000 1050 1080 1100 1140 1150 1180
## 2 1 1 6 4 18 1 2 2 1 2 1
## 1200 1280 1300 1310 1318 1320 1340 1400 1440 1450 1500 1560
## 21 1 16 2 1 11 1 7 11 2 15 12
## 1584 1600 1620 1660 1668 1680 1700 1740 1750 1780 1800 1840
## 1 8 1 1 1 7 7 2 1 2 36 1
## 1860 1884 1900 1920 1940 1950 2000 2040 2070 2088 2100 2160
## 2 1 5 9 1 1 33 5 1 1 2 7
## 2200 2230 2250 2280 2300 2340 2350 2370 2400 2450 2470 2500
## 17 1 1 3 11 2 1 1 46 1 1 20
## 2520 2550 2600 2640 2700 2760 2800 2820 2840 2880 2900 2940
## 3 2 14 5 8 4 8 1 1 2 2 2
## 2980 3000 3060 3120 3200 3240 3300 3360 3400 3440 3480 3500
## 2 23 1 3 3 2 8 1 5 1 1 12
## 3600 3700 3800 3900 3960 4000 4012 4100 4200 4280 4300 4440
## 10 2 5 3 1 9 1 2 7 1 2 1
## 4500 4700 4800 4900 5000 5260 5300 5400 5600 6000 6200 6750
## 11 1 3 1 2 2 2 1 1 2 1 1
## 7200 8000 20000
## 2 1 1##
## 1 2 3 4 5
## 7 201 395 71 4##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 58 284 48 8 122 161##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 38 352 42 4 96 149##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 27 382 44 9 117 102##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 26 358 72 6 95 124##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 17 380 87 6 96 95##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 41 403 61 4 69 103##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 44 396 65 8 59 109##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 54 405 63 5 43 111##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 61 400 59 9 53 99##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 63 381 71 6 71 89##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 56 399 64 6 66 90##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 64 389 80 4 41 103##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 61 394 57 5 76 88##
## 사회적인정 안정 임금및수입 자율성보장 장래발전 적성취향
## 72 406 52 8 62 812. Sequence
2-1 클러스터 개수 - gap stat 부트스트랩 1000번 7개 클러스터
##
## 1 2 3 4 5 6 7
## 145 86 78 67 201 39 65스퀀스 플롯
세부분석
## Sequence
## [1] (ST,1)-(IN,1)-(ST,1)-(IN,1)-(FU,1)-(ST,4)-(FU,1)-(ST,4)
## [2] (ST,1)-(FW,1)-(ST,2)-(FU,1)-(ST,4)-(IN,3)-(SA,1)-(IN,1)
## [3] (IN,9)-(FU,1)-(ST,2)-(SA,1)-(ST,1)
## [4] (FU,1)-(ST,1)-(AU,1)-(FW,1)-(IN,2)-(ST,5)-(IN,1)-(ST,2)
## [5] (IN,1)-(FU,1)-(ST,1)-(IN,2)-(ST,2)-(IN,1)-(ST,1)-(FU,2)-(IN,1)-(ST,2)
## [6] (SA,1)-(ST,1)-(FW,1)-(ST,1)-(FW,1)-(ST,6)-(AU,1)-(ST,2)
## [7] (FU,2)-(ST,1)-(FU,1)-(AU,1)-(ST,8)-(FW,1)
## [8] (IN,1)-(ST,1)-(FU,1)-(ST,2)-(AU,1)-(ST,8)
## [9] (FU,1)-(SA,1)-(FU,1)-(SA,1)-(FU,2)-(SA,2)-(FU,1)-(SA,3)-(FW,1)-(SA,1)
## [10] (SA,1)-(ST,9)-(IN,1)-(ST,2)-(FW,1)
## Freq Percent
## ST/14 7 1.03
## FW/1-ST/13 3 0.44
## FU/1-ST/13 2 0.29
## IN/1-ST/13 2 0.29
## IN/1-ST/3-IN/1-ST/9 2 0.29
## ST/1-FU/1-ST/12 2 0.29
## ST/1-IN/1-ST/12 2 0.29
## ST/13-IN/1 2 0.29
## ST/2-FU/1-ST/1-FW/1-ST/9 2 0.29
## ST/4-FU/1-ST/9 2 0.29
## data$SEX: Female
## Mean
## SA 0.90
## ST 8.28
## FW 1.21
## AU 0.17
## FU 1.21
## IN 2.22
## --------------------------------------------------------
## data$SEX: Male
## Mean
## SA 1.04
## ST 7.65
## FW 1.29
## AU 0.11
## FU 1.70
## IN 2.20## [-> SA] [-> ST] [-> FW] [-> AU] [-> FU] [-> IN]
## [SA ->] 0.23 0.43 0.06 0.00 0.15 0.13
## [ST ->] 0.06 0.68 0.07 0.01 0.08 0.11
## [FW ->] 0.05 0.44 0.25 0.01 0.10 0.14
## [AU ->] 0.06 0.42 0.05 0.08 0.19 0.20
## [FU ->] 0.08 0.43 0.11 0.01 0.20 0.17
## [IN ->] 0.05 0.45 0.07 0.01 0.12 0.29## [State frequencies]
## DJ06 DJ07 DJ08 DJ09 DJ10 DJ11 DJ12 DJ13 DJ14 DJ15
## SA 0.085 0.0558 0.040 0.0382 0.0250 0.0602 0.065 0.0793 0.090 0.0925
## ST 0.417 0.5169 0.561 0.5257 0.5580 0.5918 0.581 0.5947 0.587 0.5595
## FW 0.070 0.0617 0.065 0.1057 0.1278 0.0896 0.095 0.0925 0.087 0.1043
## AU 0.012 0.0059 0.013 0.0088 0.0088 0.0059 0.012 0.0073 0.013 0.0088
## FU 0.179 0.1410 0.172 0.1395 0.1410 0.1013 0.087 0.0631 0.078 0.1043
## IN 0.236 0.2188 0.150 0.1821 0.1395 0.1512 0.160 0.1630 0.145 0.1307
## DJ16 DJ17 DJ18 DJ19
## SA 0.0822 0.0940 0.0896 0.106
## ST 0.5859 0.5712 0.5786 0.596
## FW 0.0940 0.1175 0.0837 0.076
## AU 0.0088 0.0059 0.0073 0.012
## FU 0.0969 0.0602 0.1116 0.091
## IN 0.1322 0.1512 0.1292 0.119
##
## [Valid states]
## DJ06 DJ07 DJ08 DJ09 DJ10 DJ11 DJ12 DJ13 DJ14 DJ15 DJ16 DJ17 DJ18 DJ19
## N 681 681 681 681 681 681 681 681 681 681 681 681 681 681
##
## [Entropy index]
## DJ06 DJ07 DJ08 DJ09 DJ10 DJ11 DJ12 DJ13 DJ14 DJ15 DJ16 DJ17 DJ18 DJ19
## H 0.82 0.73 0.71 0.74 0.71 0.69 0.71 0.69 0.71 0.74 0.71 0.71 0.72 0.71
## Trans.
## 1 7
## 2 7
## 3 4
## 4 7
## 5 9
## 6 7## SA ST FW AU FU IN
## 1 0 10 0 0 2 2
## 2 1 7 1 0 1 4
## 3 1 3 0 0 1 9
## 4 0 8 1 1 1 3## Subseq.
## 1 128
## 2 168
## 3 28
## 4 184카이제곱 분석 & ANOVA
##
## Pearson's Chi-squared test
##
## data: tabSEX
## X-squared = 12.114, df = 6, p-value = 0.05948##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 681
##
##
## | data$cluster
## data$SEX | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Row Total |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Female | 34 | 20 | 22 | 12 | 68 | 8 | 23 | 187 |
## | 0.850 | 0.553 | 0.016 | 2.225 | 2.971 | 0.685 | 1.487 | |
## | 0.182 | 0.107 | 0.118 | 0.064 | 0.364 | 0.043 | 0.123 | 0.275 |
## | 0.234 | 0.233 | 0.282 | 0.179 | 0.338 | 0.205 | 0.354 | |
## | 0.050 | 0.029 | 0.032 | 0.018 | 0.100 | 0.012 | 0.034 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Male | 111 | 66 | 56 | 55 | 133 | 31 | 42 | 494 |
## | 0.322 | 0.210 | 0.006 | 0.842 | 1.125 | 0.259 | 0.563 | |
## | 0.225 | 0.134 | 0.113 | 0.111 | 0.269 | 0.063 | 0.085 | 0.725 |
## | 0.766 | 0.767 | 0.718 | 0.821 | 0.662 | 0.795 | 0.646 | |
## | 0.163 | 0.097 | 0.082 | 0.081 | 0.195 | 0.046 | 0.062 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Column Total | 145 | 86 | 78 | 67 | 201 | 39 | 65 | 681 |
## | 0.213 | 0.126 | 0.115 | 0.098 | 0.295 | 0.057 | 0.095 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
##
## ##
## Pearson's Chi-squared test
##
## data: tabAGE
## X-squared = 53.953, df = 18, p-value = 1.866e-05##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 681
##
##
## | data$cluster
## data$AGE | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Row Total |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## H30L40 | 65 | 31 | 34 | 33 | 88 | 18 | 29 | 298 |
## | 0.038 | 1.169 | 0.001 | 0.462 | 0.000 | 0.051 | 0.011 | |
## | 0.218 | 0.104 | 0.114 | 0.111 | 0.295 | 0.060 | 0.097 | 0.438 |
## | 0.448 | 0.360 | 0.436 | 0.493 | 0.438 | 0.462 | 0.446 | |
## | 0.095 | 0.046 | 0.050 | 0.048 | 0.129 | 0.026 | 0.043 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## H40L50 | 36 | 35 | 19 | 13 | 67 | 7 | 31 | 208 |
## | 1.551 | 2.903 | 0.977 | 2.722 | 0.512 | 2.025 | 6.259 | |
## | 0.173 | 0.168 | 0.091 | 0.062 | 0.322 | 0.034 | 0.149 | 0.305 |
## | 0.248 | 0.407 | 0.244 | 0.194 | 0.333 | 0.179 | 0.477 | |
## | 0.053 | 0.051 | 0.028 | 0.019 | 0.098 | 0.010 | 0.046 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## H50 | 12 | 9 | 3 | 3 | 25 | 4 | 3 | 59 |
## | 0.025 | 0.322 | 2.090 | 1.355 | 3.305 | 0.114 | 1.230 | |
## | 0.203 | 0.153 | 0.051 | 0.051 | 0.424 | 0.068 | 0.051 | 0.087 |
## | 0.083 | 0.105 | 0.038 | 0.045 | 0.124 | 0.103 | 0.046 | |
## | 0.018 | 0.013 | 0.004 | 0.004 | 0.037 | 0.006 | 0.004 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## L30 | 32 | 11 | 22 | 18 | 21 | 10 | 2 | 116 |
## | 2.158 | 0.909 | 5.715 | 3.802 | 5.118 | 1.696 | 7.433 | |
## | 0.276 | 0.095 | 0.190 | 0.155 | 0.181 | 0.086 | 0.017 | 0.170 |
## | 0.221 | 0.128 | 0.282 | 0.269 | 0.104 | 0.256 | 0.031 | |
## | 0.047 | 0.016 | 0.032 | 0.026 | 0.031 | 0.015 | 0.003 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Column Total | 145 | 86 | 78 | 67 | 201 | 39 | 65 | 681 |
## | 0.213 | 0.126 | 0.115 | 0.098 | 0.295 | 0.057 | 0.095 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
##
## ##
## Pearson's Chi-squared test
##
## data: tabEDU
## X-squared = 67.203, df = 24, p-value = 5.751e-06##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 681
##
##
## | data$cluster
## data$EDU | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Row Total |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## G2yr | 30 | 15 | 8 | 11 | 25 | 8 | 5 | 102 |
## | 3.158 | 0.349 | 1.161 | 0.093 | 0.866 | 0.798 | 2.304 | |
## | 0.294 | 0.147 | 0.078 | 0.108 | 0.245 | 0.078 | 0.049 | 0.150 |
## | 0.207 | 0.174 | 0.103 | 0.164 | 0.124 | 0.205 | 0.077 | |
## | 0.044 | 0.022 | 0.012 | 0.016 | 0.037 | 0.012 | 0.007 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## G4yr | 39 | 13 | 26 | 27 | 43 | 6 | 12 | 166 |
## | 0.378 | 3.025 | 2.567 | 6.969 | 0.734 | 1.293 | 0.933 | |
## | 0.235 | 0.078 | 0.157 | 0.163 | 0.259 | 0.036 | 0.072 | 0.244 |
## | 0.269 | 0.151 | 0.333 | 0.403 | 0.214 | 0.154 | 0.185 | |
## | 0.057 | 0.019 | 0.038 | 0.040 | 0.063 | 0.009 | 0.018 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## GG | 5 | 3 | 11 | 4 | 5 | 4 | 1 | 33 |
## | 0.584 | 0.327 | 13.793 | 0.175 | 2.307 | 2.356 | 1.467 | |
## | 0.152 | 0.091 | 0.333 | 0.121 | 0.152 | 0.121 | 0.030 | 0.048 |
## | 0.034 | 0.035 | 0.141 | 0.060 | 0.025 | 0.103 | 0.015 | |
## | 0.007 | 0.004 | 0.016 | 0.006 | 0.007 | 0.006 | 0.001 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## GHIGH | 58 | 41 | 25 | 18 | 83 | 15 | 32 | 272 |
## | 0.000 | 1.288 | 1.216 | 2.868 | 0.092 | 0.021 | 1.404 | |
## | 0.213 | 0.151 | 0.092 | 0.066 | 0.305 | 0.055 | 0.118 | 0.399 |
## | 0.400 | 0.477 | 0.321 | 0.269 | 0.413 | 0.385 | 0.492 | |
## | 0.085 | 0.060 | 0.037 | 0.026 | 0.122 | 0.022 | 0.047 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## UMIDDLE | 13 | 14 | 8 | 7 | 45 | 6 | 15 | 108 |
## | 4.345 | 0.010 | 1.544 | 1.237 | 5.403 | 0.006 | 2.135 | |
## | 0.120 | 0.130 | 0.074 | 0.065 | 0.417 | 0.056 | 0.139 | 0.159 |
## | 0.090 | 0.163 | 0.103 | 0.104 | 0.224 | 0.154 | 0.231 | |
## | 0.019 | 0.021 | 0.012 | 0.010 | 0.066 | 0.009 | 0.022 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Column Total | 145 | 86 | 78 | 67 | 201 | 39 | 65 | 681 |
## | 0.213 | 0.126 | 0.115 | 0.098 | 0.295 | 0.057 | 0.095 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
##
## ##
## Pearson's Chi-squared test
##
## data: tabPARTFULL
## X-squared = 12.087, df = 6, p-value = 0.06005##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 673
##
##
## | data$cluster
## data$PARTFULL | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Row Total |
## --------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## FULL | 120 | 71 | 69 | 61 | 159 | 30 | 47 | 557 |
## | 0.093 | 0.006 | 0.306 | 0.555 | 0.197 | 0.067 | 0.859 | |
## | 0.215 | 0.127 | 0.124 | 0.110 | 0.285 | 0.054 | 0.084 | 0.828 |
## | 0.851 | 0.835 | 0.885 | 0.910 | 0.799 | 0.789 | 0.723 | |
## | 0.178 | 0.105 | 0.103 | 0.091 | 0.236 | 0.045 | 0.070 | |
## --------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## PART | 21 | 14 | 9 | 6 | 40 | 8 | 18 | 116 |
## | 0.449 | 0.029 | 1.469 | 2.666 | 0.947 | 0.321 | 4.123 | |
## | 0.181 | 0.121 | 0.078 | 0.052 | 0.345 | 0.069 | 0.155 | 0.172 |
## | 0.149 | 0.165 | 0.115 | 0.090 | 0.201 | 0.211 | 0.277 | |
## | 0.031 | 0.021 | 0.013 | 0.009 | 0.059 | 0.012 | 0.027 | |
## --------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Column Total | 141 | 85 | 78 | 67 | 199 | 38 | 65 | 673 |
## | 0.210 | 0.126 | 0.116 | 0.100 | 0.296 | 0.056 | 0.097 | |
## --------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
##
## ## Df Sum Sq Mean Sq F value Pr(>F)
## cluster 1 5.901e+06 5901412 3.172 0.0754 .
## Residuals 643 1.196e+09 1860198
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 36 observations deleted due to missingness## Df Sum Sq Mean Sq F value Pr(>F)
## cluster 1 3.92 3.917 9.298 0.00238 **
## Residuals 676 284.80 0.421
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 3 observations deleted due to missingness아노바 디테일 06, 19 및 사후검증
06
## # A tibble: 7 x 2
## cluster LYBTINCOME
## <int> <dbl>
## 1 1 2338.
## 2 2 2106.
## 3 3 2443.
## 4 4 2285.
## 5 5 2054.
## 6 6 2449.
## 7 7 1912.## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(cluster) 6 1.945e+07 3240919 1.748 0.107
## Residuals 638 1.183e+09 1853548
## 36 observations deleted due to missingness##
## Pairwise comparisons using t tests with pooled SD
##
## data: data$LYBTINCOME and data$cluster
##
## 1 2 3 4 5 6
## 2 1.00 - - - - -
## 3 1.00 1.00 - - - -
## 4 1.00 1.00 1.00 - - -
## 5 1.00 1.00 0.80 1.00 - -
## 6 1.00 1.00 1.00 1.00 1.00 -
## 7 0.92 1.00 0.54 1.00 1.00 1.00
##
## P value adjustment method: bonferroni## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = LYBTINCOME ~ as.factor(cluster), data = data)
##
## $`as.factor(cluster)`
## diff lwr upr p adj
## 2-1 -231.660294 -788.4411 325.1206 0.8820901
## 3-1 104.930197 -479.3341 689.1945 0.9983857
## 4-1 -52.837150 -673.3715 567.6972 0.9999789
## 5-1 -283.644506 -734.4788 167.1897 0.5072592
## 6-1 111.540342 -635.1144 858.1950 0.9994348
## 7-1 -425.819118 -1049.9131 198.2749 0.4041329
## 3-2 336.590492 -305.9858 979.1668 0.7146502
## 4-2 178.823144 -496.9005 854.5468 0.9865749
## 5-2 -51.984212 -576.1894 472.2210 0.9999481
## 6-2 343.200636 -449.9153 1136.3165 0.8610867
## 7-2 -194.158824 -873.1529 484.8352 0.9799487
## 4-3 -157.767348 -856.3103 540.7756 0.9942442
## 5-3 -388.574704 -941.8838 164.7344 0.3675573
## 6-3 6.610144 -806.0353 819.2556 1.0000000
## 7-3 -530.749315 -1232.4564 170.9577 0.2770950
## 5-4 -230.807356 -822.2877 360.6730 0.9107210
## 6-4 164.377492 -674.7237 1003.4787 0.9973720
## 7-4 -372.981967 -1105.1642 359.2003 0.7408319
## 6-5 395.184848 -327.5042 1117.8739 0.6711383
## 7-5 -142.174611 -737.3885 453.0393 0.9922081
## 7-6 -537.359459 -1379.0965 304.3776 0.4888922
##
## Posthoc multiple comparisons of means : Fisher LSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -231.660294 -601.31127 137.99068 0.2189
## 3-1 104.930197 -282.96723 492.82762 0.5955
## 4-1 -52.837150 -464.81454 359.14024 0.8012
## 5-1 -283.644506 -582.95675 15.66773 0.0632 .
## 6-1 111.540342 -384.16931 607.24999 0.6587
## 7-1 -425.819118 -840.15982 -11.47842 0.0440 *
## 3-2 336.590492 -90.02074 763.20173 0.1218
## 4-2 178.823144 -269.79485 627.44113 0.4341
## 5-2 -51.984212 -400.00799 296.03957 0.7694
## 6-2 343.200636 -183.35495 869.75623 0.2010
## 7-2 -194.158824 -644.94807 256.63043 0.3980
## 4-3 -157.767348 -621.53525 306.00056 0.5044
## 5-3 -388.574704 -755.92075 -21.22866 0.0382 *
## 6-3 6.610144 -532.91127 546.13156 0.9808
## 7-3 -530.749315 -996.61788 -64.88075 0.0256 *
## 5-4 -230.807356 -623.49562 161.88091 0.2489
## 6-4 164.377492 -392.70806 721.46305 0.5625
## 7-4 -372.981967 -859.08326 113.11933 0.1324
## 6-5 395.184848 -84.61382 874.98352 0.1063
## 7-5 -142.174611 -537.34156 252.99234 0.4801
## 7-6 -537.359459 -1096.19500 21.47608 0.0594 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Tukey HSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -231.660294 -788.4411 325.1206 0.8821
## 3-1 104.930197 -479.3341 689.1945 0.9984
## 4-1 -52.837150 -673.3715 567.6972 1.0000
## 5-1 -283.644506 -734.4788 167.1897 0.5073
## 6-1 111.540342 -635.1144 858.1950 0.9994
## 7-1 -425.819118 -1049.9131 198.2749 0.4041
## 3-2 336.590492 -305.9858 979.1668 0.7147
## 4-2 178.823144 -496.9005 854.5468 0.9866
## 5-2 -51.984212 -576.1894 472.2210 0.9999
## 6-2 343.200636 -449.9153 1136.3165 0.8611
## 7-2 -194.158824 -873.1529 484.8352 0.9799
## 4-3 -157.767348 -856.3103 540.7756 0.9942
## 5-3 -388.574704 -941.8838 164.7344 0.3676
## 6-3 6.610144 -806.0353 819.2556 1.0000
## 7-3 -530.749315 -1232.4564 170.9577 0.2771
## 5-4 -230.807356 -822.2877 360.6730 0.9107
## 6-4 164.377492 -674.7237 1003.4787 0.9974
## 7-4 -372.981967 -1105.1642 359.2003 0.7408
## 6-5 395.184848 -327.5042 1117.8739 0.6711
## 7-5 -142.174611 -737.3885 453.0393 0.9922
## 7-6 -537.359459 -1379.0965 304.3776 0.4889
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Scheffe Test
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -231.660294 -901.8861 438.5655 0.9583
## 3-1 104.930197 -598.3788 808.2392 0.9996
## 4-1 -52.837150 -799.8063 694.1320 1.0000
## 5-1 -283.644506 -826.3369 259.0479 0.7487
## 6-1 111.540342 -787.2464 1010.3271 0.9999
## 7-1 -425.819118 -1177.0733 325.4350 0.6669
## 3-2 336.590492 -436.9118 1110.0927 0.8791
## 4-2 178.823144 -634.5802 992.2265 0.9962
## 5-2 -51.984212 -682.9971 579.0286 1.0000
## 6-2 343.200636 -611.5139 1297.9151 0.9496
## 7-2 -194.158824 -1011.4990 623.1813 0.9941
## 4-3 -157.767348 -998.6395 683.1048 0.9984
## 5-3 -388.574704 -1054.6214 277.4720 0.6343
## 6-3 6.610144 -971.6131 984.8334 1.0000
## 7-3 -530.749315 -1375.4303 313.9316 0.5437
## 5-4 -230.807356 -942.8028 481.1881 0.9697
## 6-4 164.377492 -845.6918 1174.4468 0.9993
## 7-4 -372.981967 -1254.3475 508.3836 0.8929
## 6-5 395.184848 -474.7532 1265.1229 0.8549
## 7-5 -142.174611 -858.6642 574.3150 0.9978
## 7-6 -537.359459 -1550.6018 475.8828 0.7351
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # A tibble: 7 x 2
## cluster OVERALLSAT
## <int> <dbl>
## 1 1 2.73
## 2 2 2.80
## 3 3 2.59
## 4 4 2.76
## 5 5 2.86
## 6 6 2.92
## 7 7 2.98## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(cluster) 6 7.58 1.263 3.015 0.00648 **
## Residuals 671 281.14 0.419
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 3 observations deleted due to missingness##
## Pairwise comparisons using t tests with pooled SD
##
## data: data$OVERALLSAT and as.factor(data$cluster)
##
## 1 2 3 4 5 6
## 2 1.0000 - - - - -
## 3 1.0000 0.7574 - - - -
## 4 1.0000 1.0000 1.0000 - - -
## 5 1.0000 1.0000 0.0468 1.0000 - -
## 6 1.0000 1.0000 0.1857 1.0000 1.0000 -
## 7 0.2086 1.0000 0.0063 1.0000 1.0000 1.0000
##
## P value adjustment method: bonferroni## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = OVERALLSAT ~ as.factor(cluster), data = data)
##
## $`as.factor(cluster)`
## diff lwr upr p adj
## 2-1 0.06805985 -0.193155332 0.32927503 0.9876427
## 3-1 -0.14452214 -0.413972481 0.12492819 0.6913167
## 4-1 0.02692830 -0.256473202 0.31032979 0.9999597
## 5-1 0.12073427 -0.088899848 0.33036838 0.6141481
## 6-1 0.18881119 -0.156995417 0.53461779 0.6728879
## 7-1 0.25034965 -0.036005424 0.53670472 0.1320271
## 3-2 -0.21258199 -0.511893427 0.08672944 0.3535434
## 4-2 -0.04113155 -0.353061448 0.27079835 0.9997256
## 5-2 0.05267442 -0.194166245 0.29951508 0.9957847
## 6-2 0.12075134 -0.248797113 0.49029980 0.9609897
## 7-2 0.18228980 -0.132325963 0.49690557 0.6072166
## 4-3 0.17145044 -0.147407482 0.49030836 0.6887692
## 5-3 0.26525641 0.009716927 0.52079589 0.0360146
## 6-3 0.33333333 -0.042081336 0.70874800 0.1198668
## 7-3 0.39487179 0.073385879 0.71635771 0.0055800
## 5-4 0.09380597 -0.176403860 0.36401580 0.9478225
## 6-4 0.16188289 -0.223667491 0.54743328 0.8775636
## 7-4 0.22342135 -0.109844484 0.55668719 0.4267366
## 6-5 0.06807692 -0.267003891 0.40315774 0.9967860
## 7-5 0.12961538 -0.143690620 0.40292139 0.8005375
## 7-6 0.06153846 -0.326188142 0.44926506 0.9992011
##
## Posthoc multiple comparisons of means : Fisher LSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 0.06805985 -0.105373971 0.24149367 0.4413
## 3-1 -0.14452214 -0.323423695 0.03437941 0.1132
## 4-1 0.02692830 -0.161236129 0.21509272 0.7788
## 5-1 0.12073427 -0.018452304 0.25992084 0.0890 .
## 6-1 0.18881119 -0.040787107 0.41840948 0.1068
## 7-1 0.25034965 0.060224199 0.44047510 0.0099 **
## 3-2 -0.21258199 -0.411309819 -0.01385416 0.0361 *
## 4-2 -0.04113155 -0.248237407 0.16597430 0.6967
## 5-2 0.05267442 -0.111215440 0.21656428 0.5282
## 6-2 0.12075134 -0.124610355 0.36611304 0.3342
## 7-2 0.18228980 -0.026599335 0.39117894 0.0871 .
## 4-3 0.17145044 -0.040255277 0.38315616 0.1123
## 5-3 0.26525641 0.095590970 0.43492185 0.0022 **
## 6-3 0.33333333 0.084076763 0.58258990 0.0088 **
## 7-3 0.39487179 0.181421221 0.60832237 0.0003 ***
## 5-4 0.09380597 -0.085599847 0.27321179 0.3050
## 6-4 0.16188289 -0.094103285 0.41786907 0.2148
## 7-4 0.22342135 0.002149501 0.44469321 0.0478 *
## 6-5 0.06807692 -0.154399984 0.29055383 0.5482
## 7-5 0.12961538 -0.051846137 0.31107691 0.1612
## 7-6 0.06153846 -0.195892617 0.31896954 0.6390
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Tukey HSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 0.06805985 -0.193155332 0.32927503 0.9876
## 3-1 -0.14452214 -0.413972481 0.12492819 0.6913
## 4-1 0.02692830 -0.256473202 0.31032979 1.0000
## 5-1 0.12073427 -0.088899848 0.33036838 0.6141
## 6-1 0.18881119 -0.156995417 0.53461779 0.6729
## 7-1 0.25034965 -0.036005424 0.53670472 0.1320
## 3-2 -0.21258199 -0.511893427 0.08672944 0.3535
## 4-2 -0.04113155 -0.353061448 0.27079835 0.9997
## 5-2 0.05267442 -0.194166245 0.29951508 0.9958
## 6-2 0.12075134 -0.248797113 0.49029980 0.9610
## 7-2 0.18228980 -0.132325963 0.49690557 0.6072
## 4-3 0.17145044 -0.147407482 0.49030836 0.6888
## 5-3 0.26525641 0.009716927 0.52079589 0.0360 *
## 6-3 0.33333333 -0.042081336 0.70874800 0.1199
## 7-3 0.39487179 0.073385879 0.71635771 0.0056 **
## 5-4 0.09380597 -0.176403860 0.36401580 0.9478
## 6-4 0.16188289 -0.223667491 0.54743328 0.8776
## 7-4 0.22342135 -0.109844484 0.55668719 0.4267
## 6-5 0.06807692 -0.267003891 0.40315774 0.9968
## 7-5 0.12961538 -0.143690620 0.40292139 0.8005
## 7-6 0.06153846 -0.326188142 0.44926506 0.9992
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Scheffe Test
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 0.06805985 -0.246375811 0.3824955 0.9965
## 3-1 -0.14452214 -0.468870806 0.1798265 0.8664
## 4-1 0.02692830 -0.314213963 0.3680706 1.0000
## 5-1 0.12073427 -0.131611102 0.3730796 0.8209
## 6-1 0.18881119 -0.227450714 0.6050731 0.8560
## 7-1 0.25034965 -0.094347953 0.5950473 0.3523
## 3-2 -0.21258199 -0.572875710 0.1477117 0.6213
## 4-2 -0.04113155 -0.416614640 0.3343515 0.9999
## 5-2 0.05267442 -0.244458033 0.3498069 0.9989
## 6-2 0.12075134 -0.324089620 0.5655923 0.9879
## 7-2 0.18228980 -0.196426380 0.5610060 0.8165
## 4-3 0.17145044 -0.212372203 0.5552731 0.8649
## 5-3 0.26525641 -0.042347174 0.5728600 0.1530
## 6-3 0.33333333 -0.118569037 0.7852357 0.3321
## 7-3 0.39487179 0.007885725 0.7818579 0.0414 *
## 5-4 0.09380597 -0.231456926 0.4190689 0.9834
## 6-4 0.16188289 -0.302220262 0.6259860 0.9565
## 7-4 0.22342135 -0.177744702 0.6245874 0.6860
## 6-5 0.06807692 -0.335273895 0.4714277 0.9991
## 7-5 0.12961538 -0.199374507 0.4586053 0.9224
## 7-6 0.06153846 -0.405184300 0.5282612 0.9998
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 119
## # A tibble: 7 x 2
## cluster LYBTINCOME19
## <int> <dbl>
## 1 1 4435.
## 2 2 4149.
## 3 3 5081.
## 4 4 5050.
## 5 5 4116.
## 6 6 3964.
## 7 7 3552.## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(cluster) 6 1.363e+08 22721690 3.361 0.00285 **
## Residuals 673 4.550e+09 6760943
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 1 observation deleted due to missingness##
## Pairwise comparisons using t tests with pooled SD
##
## data: data$LYBTINCOME19 and data$cluster
##
## 1 2 3 4 5 6
## 2 1.000 - - - - -
## 3 1.000 0.468 - - - -
## 4 1.000 0.729 1.000 - - -
## 5 1.000 1.000 0.117 0.243 - -
## 6 1.000 1.000 0.606 0.820 1.000 -
## 7 0.489 1.000 0.010 0.022 1.000 1.000
##
## P value adjustment method: bonferroni## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = LYBTINCOME19 ~ as.factor(cluster), data = data)
##
## $`as.factor(cluster)`
## diff lwr upr p adj
## 2-1 -285.29864 -1331.8710 761.27372 0.9843477
## 3-1 646.02635 -433.7098 1725.76245 0.5693044
## 4-1 615.13124 -526.6470 1756.90946 0.6867879
## 5-1 -319.04560 -1156.8691 518.77786 0.9200188
## 6-1 -470.76852 -1857.8089 916.27185 0.9531430
## 7-1 -882.50186 -2030.2999 265.29614 0.2583297
## 3-2 931.32499 -271.0001 2133.65003 0.2499341
## 4-2 900.42988 -357.9075 2158.76725 0.3442209
## 5-2 -33.74696 -1024.5565 957.06260 0.9999999
## 6-2 -185.46989 -1669.9349 1298.99515 0.9997994
## 7-2 -597.20322 -1861.0053 666.59886 0.8032551
## 4-3 -30.89510 -1316.9469 1255.15673 1.0000000
## 5-3 -965.07195 -1990.8497 60.70578 0.0807448
## 6-3 -1116.79487 -2624.8243 391.23457 0.3022142
## 7-3 -1528.52821 -2819.9275 -237.12894 0.0089262
## 5-4 -934.17684 -2025.0698 156.71609 0.1493978
## 6-4 -1085.89977 -2638.9549 467.15537 0.3732290
## 7-4 -1497.63310 -2841.3368 -153.92945 0.0177691
## 6-5 -151.72292 -1497.1860 1193.74015 0.9998898
## 7-5 -563.45626 -1660.6482 533.73568 0.7335734
## 7-6 -411.73333 -1969.2194 1145.75278 0.9866655
##
## Posthoc multiple comparisons of means : Fisher LSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -285.29864 -980.17291 409.57564 0.4204
## 3-1 646.02635 -70.86708 1362.91977 0.0773 .
## 4-1 615.13124 -142.95519 1373.21768 0.1116
## 5-1 -319.04560 -875.32053 237.22933 0.2605
## 6-1 -470.76852 -1391.69737 450.16032 0.3159
## 7-1 -882.50186 -1644.58514 -120.41857 0.0233 *
## 3-2 931.32499 133.03834 1729.61163 0.0223 *
## 4-2 900.42988 64.95371 1735.90605 0.0347 *
## 5-2 -33.74696 -691.59739 624.10347 0.9198
## 6-2 -185.46989 -1171.08407 800.14430 0.7119
## 7-2 -597.20322 -1436.30770 241.90126 0.1627
## 4-3 -30.89510 -884.77236 822.98215 0.9434
## 5-3 -965.07195 -1646.13958 -284.00432 0.0055 **
## 6-3 -1116.79487 -2118.05471 -115.53504 0.0289 *
## 7-3 -1528.52821 -2385.95590 -671.10051 0.0005 ***
## 5-4 -934.17684 -1658.47787 -209.87581 0.0116 *
## 6-4 -1085.89977 -2117.05452 -54.74502 0.0390 *
## 7-4 -1497.63310 -2389.78842 -605.47778 0.0010 **
## 6-5 -151.72292 -1045.04642 741.60057 0.7389
## 7-5 -563.45626 -1291.93952 165.02701 0.1293
## 7-6 -411.73333 -1445.83004 622.36338 0.4346
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Tukey HSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -285.29864 -1331.8710 761.27372 0.9843
## 3-1 646.02635 -433.7098 1725.76245 0.5693
## 4-1 615.13124 -526.6470 1756.90946 0.6868
## 5-1 -319.04560 -1156.8691 518.77786 0.9200
## 6-1 -470.76852 -1857.8089 916.27185 0.9531
## 7-1 -882.50186 -2030.2999 265.29614 0.2583
## 3-2 931.32499 -271.0001 2133.65003 0.2499
## 4-2 900.42988 -357.9075 2158.76725 0.3442
## 5-2 -33.74696 -1024.5565 957.06260 1.0000
## 6-2 -185.46989 -1669.9349 1298.99515 0.9998
## 7-2 -597.20322 -1861.0053 666.59886 0.8033
## 4-3 -30.89510 -1316.9469 1255.15673 1.0000
## 5-3 -965.07195 -1990.8497 60.70578 0.0807 .
## 6-3 -1116.79487 -2624.8243 391.23457 0.3022
## 7-3 -1528.52821 -2819.9275 -237.12894 0.0089 **
## 5-4 -934.17684 -2025.0698 156.71609 0.1494
## 6-4 -1085.89977 -2638.9549 467.15537 0.3732
## 7-4 -1497.63310 -2841.3368 -153.92945 0.0178 *
## 6-5 -151.72292 -1497.1860 1193.74015 0.9999
## 7-5 -563.45626 -1660.6482 533.73568 0.7336
## 7-6 -411.73333 -1969.2194 1145.75278 0.9867
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Scheffe Test
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -285.29864 -1545.1011 974.50379 0.9955
## 3-1 646.02635 -653.6967 1945.74935 0.7920
## 4-1 615.13124 -759.2744 1989.53690 0.8638
## 5-1 -319.04560 -1327.5683 689.47714 0.9732
## 6-1 -470.76852 -2140.4064 1198.86933 0.9852
## 7-1 -882.50186 -2264.1538 499.15006 0.5228
## 3-2 931.32499 -515.9634 2378.61336 0.5131
## 4-2 900.42988 -614.2829 2415.14261 0.6125
## 5-2 -33.74696 -1226.4254 1158.93148 1.0000
## 6-2 -185.46989 -1972.3818 1601.44206 0.9999
## 7-2 -597.20322 -2118.4940 924.08760 0.9237
## 4-3 -30.89510 -1578.9689 1517.17867 1.0000
## 5-3 -965.07195 -2199.8430 269.69913 0.2594
## 6-3 -1116.79487 -2932.0723 698.48253 0.5706
## 7-3 -1528.52821 -3083.0389 25.98249 0.0581 .
## 5-4 -934.17684 -2247.3298 378.97610 0.3797
## 6-4 -1085.89977 -2955.3765 783.57692 0.6396
## 7-4 -1497.63310 -3115.1048 119.83855 0.0945 .
## 6-5 -151.72292 -1771.3125 1467.86662 1.0000
## 7-5 -563.45626 -1884.1916 757.27905 0.8892
## 7-6 -411.73333 -2286.5438 1463.07711 0.9962
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # A tibble: 7 x 2
## cluster OVERALLSAT19
## <int> <dbl>
## 1 1 2.56
## 2 2 2.52
## 3 3 2.40
## 4 4 2.64
## 5 5 2.56
## 6 6 2.46
## 7 7 2.65## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(cluster) 6 3.36 0.5599 1.873 0.0829 .
## Residuals 674 201.43 0.2989
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Pairwise comparisons using t tests with pooled SD
##
## data: data$OVERALLSAT19 and as.factor(data$cluster)
##
## 1 2 3 4 5 6
## 2 1.00 - - - - -
## 3 0.76 1.00 - - - -
## 4 1.00 1.00 0.16 - - -
## 5 1.00 1.00 0.60 1.00 - -
## 6 1.00 1.00 1.00 1.00 1.00 -
## 7 1.00 1.00 0.15 1.00 1.00 1.00
##
## P value adjustment method: bonferroni## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = OVERALLSAT19 ~ as.factor(cluster), data = data)
##
## $`as.factor(cluster)`
## diff lwr upr p adj
## 2-1 -0.035364876 -0.25540387 0.18467411 0.9991418
## 3-1 -0.161184792 -0.38819637 0.06582679 0.3539207
## 4-1 0.083170355 -0.15565114 0.32199185 0.9470451
## 5-1 -0.001406759 -0.17755686 0.17474334 1.0000000
## 6-1 -0.097082228 -0.38870369 0.19453924 0.9573025
## 7-1 0.087533156 -0.15378825 0.32885456 0.9359401
## 3-2 -0.125819917 -0.37860549 0.12696565 0.7615065
## 4-2 0.118535231 -0.14490735 0.38197781 0.8374389
## 5-2 0.033958116 -0.17435690 0.24227313 0.9990695
## 6-2 -0.061717352 -0.37382209 0.25038738 0.9972346
## 7-2 0.122898032 -0.14281292 0.38860898 0.8188193
## 4-3 0.244355147 -0.02493854 0.51364884 0.1040264
## 5-3 0.159778033 -0.05588894 0.37544501 0.3017480
## 6-3 0.064102564 -0.25295652 0.38116165 0.9968719
## 7-3 0.248717949 -0.02279523 0.52023113 0.0975439
## 5-4 -0.084577114 -0.31264222 0.14348799 0.9290741
## 6-4 -0.180252583 -0.50587186 0.14536669 0.6582472
## 7-4 0.004362801 -0.27709920 0.28582480 1.0000000
## 6-5 -0.095675469 -0.37855542 0.18720448 0.9539230
## 7-5 0.088939916 -0.14174170 0.31962153 0.9154517
## 7-6 0.184615385 -0.14284183 0.51207260 0.6382300
##
## Posthoc multiple comparisons of means : Fisher LSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -0.035364876 -0.18146057 0.11073082 0.6347
## 3-1 -0.161184792 -0.31190996 -0.01045962 0.0361 *
## 4-1 0.083170355 -0.07539605 0.24173676 0.3034
## 5-1 -0.001406759 -0.11836226 0.11554875 0.9812
## 6-1 -0.097082228 -0.29070537 0.09654091 0.3252
## 7-1 0.087533156 -0.07269307 0.24775939 0.2838
## 3-2 -0.125819917 -0.29365782 0.04201799 0.1415
## 4-2 0.118535231 -0.05637843 0.29344889 0.1838
## 5-2 0.033958116 -0.10435340 0.17226963 0.6299
## 6-2 -0.061717352 -0.26894043 0.14550573 0.5589
## 7-2 0.122898032 -0.05352172 0.29931779 0.1718
## 4-3 0.244355147 0.06555662 0.42315368 0.0075 **
## 5-3 0.159778033 0.01658515 0.30297091 0.0288 *
## 6-3 0.064102564 -0.14640998 0.27461511 0.5501
## 7-3 0.248717949 0.06844578 0.42899012 0.0069 **
## 5-4 -0.084577114 -0.23600178 0.06684755 0.2732
## 6-4 -0.180252583 -0.39644869 0.03594353 0.1021
## 7-4 0.004362801 -0.18251492 0.19124052 0.9635
## 6-5 -0.095675469 -0.28349465 0.09214371 0.3176
## 7-5 0.088939916 -0.06422199 0.24210182 0.2546
## 7-6 0.184615385 -0.03280103 0.40203180 0.0959 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Tukey HSD
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -0.035364876 -0.25540387 0.18467411 0.9991
## 3-1 -0.161184792 -0.38819637 0.06582679 0.3539
## 4-1 0.083170355 -0.15565114 0.32199185 0.9470
## 5-1 -0.001406759 -0.17755686 0.17474334 1.0000
## 6-1 -0.097082228 -0.38870369 0.19453924 0.9573
## 7-1 0.087533156 -0.15378825 0.32885456 0.9359
## 3-2 -0.125819917 -0.37860549 0.12696565 0.7615
## 4-2 0.118535231 -0.14490735 0.38197781 0.8374
## 5-2 0.033958116 -0.17435690 0.24227313 0.9991
## 6-2 -0.061717352 -0.37382209 0.25038738 0.9972
## 7-2 0.122898032 -0.14281292 0.38860898 0.8188
## 4-3 0.244355147 -0.02493854 0.51364884 0.1040
## 5-3 0.159778033 -0.05588894 0.37544501 0.3017
## 6-3 0.064102564 -0.25295652 0.38116165 0.9969
## 7-3 0.248717949 -0.02279523 0.52023113 0.0975 .
## 5-4 -0.084577114 -0.31264222 0.14348799 0.9291
## 6-4 -0.180252583 -0.50587186 0.14536669 0.6582
## 7-4 0.004362801 -0.27709920 0.28582480 1.0000
## 6-5 -0.095675469 -0.37855542 0.18720448 0.9539
## 7-5 0.088939916 -0.14174170 0.31962153 0.9155
## 7-6 0.184615385 -0.14284183 0.51207260 0.6382
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Posthoc multiple comparisons of means : Scheffe Test
## 95% family-wise confidence level
##
## $`as.factor(cluster)`
## diff lwr.ci upr.ci pval
## 2-1 -0.035364876 -0.30023485 0.2295051 0.9998
## 3-1 -0.161184792 -0.43444795 0.1120784 0.6217
## 4-1 0.083170355 -0.20430889 0.3706496 0.9831
## 5-1 -0.001406759 -0.21344587 0.2106324 1.0000
## 6-1 -0.097082228 -0.44811896 0.2539545 0.9867
## 7-1 0.087533156 -0.20295533 0.3780216 0.9791
## 3-2 -0.125819917 -0.43010829 0.1784685 0.9035
## 4-2 0.118535231 -0.19858142 0.4356519 0.9393
## 5-2 0.033958116 -0.21679922 0.2847155 0.9998
## 6-2 -0.061717352 -0.43741064 0.3139759 0.9993
## 7-2 0.122898032 -0.19694915 0.4427452 0.9309
## 4-3 0.244355147 -0.07980473 0.5685150 0.3042
## 5-3 0.159778033 -0.09982917 0.4193852 0.5701
## 6-3 0.064102564 -0.31755448 0.4457596 0.9992
## 7-3 0.248717949 -0.07811362 0.5755495 0.2922
## 5-4 -0.084577114 -0.35910845 0.1899542 0.9766
## 6-4 -0.180252583 -0.57221388 0.2117087 0.8475
## 7-4 0.004362801 -0.33444457 0.3431702 1.0000
## 6-5 -0.095675469 -0.43618969 0.2448387 0.9855
## 7-5 0.088939916 -0.18874102 0.3666209 0.9715
## 7-6 0.184615385 -0.20955832 0.5787891 0.8356
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1