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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 05 Nov 2007 15:43:01 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/05/rryjg4pg980ydo21194302420.htm/, Retrieved Sun, 28 Apr 2024 19:17:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14443, Retrieved Sun, 28 Apr 2024 19:17:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [] [2007-11-05 22:43:01] [5cd2eaf52b5af4f6633768e109be06f2] [Current]
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Dataseries X:
106.7	97.3	93.5	104.8	124.9
110.2	101	94.7	105.6	132
125.9	113.2	112.9	118.3	151.4
100.1	101	99.2	89.9	108.9
106.4	105.7	105.6	90.2	121.3
114.8	113.9	113	107	123.4
81.3	86.4	83.1	64.5	90.3
87	96.5	81.1	92.6	79.3
104.2	103.3	96.9	95.8	117.2
108	114.9	104.3	94.3	116.9
105	105.8	97.7	91.2	120.8
94.5	94.2	102.6	86.3	96.1
92	98.4	89.9	77.6	100.8
95.9	99.4	96	82.5	105.3
108.8	108.8	112.7	97.7	116.1
103.4	112.6	107.1	83.3	112.8
102.1	104.4	106.2	84.2	114.5
110.1	112.2	121	92.8	117.2
83.2	81.1	101.2	77.4	77.1
82.7	97.1	83.2	72.5	80.1
106.8	112.6	105.1	88.8	120.3
113.7	113.8	113.3	93.4	133.4
102.5	107.8	99.1	92.6	109.4
96.6	103.2	100.3	90.7	93.2
92.1	103.3	93.5	81.6	91.2
95.6	101.2	98.8	84.1	99.2
102.3	107.7	106.2	88.1	108.2
98.6	110.4	98.3	85.3	101.5
98.2	101.9	102.1	82.9	106.9
104.5	115.9	117.1	84.8	104.4
84	89.9	101.5	71.2	77.9
73.8	88.6	80.5	68.9	60
103.9	117.2	105.9	94.3	99.5
106	123.9	109.5	97.6	95
97.2	100	97.2	85.6	105.6
102.6	103.6	114.5	91.9	102.5
89	94.1	93.5	75.8	93.3
93.8	98.7	100.9	79.8	97.3
116.7	119.5	121.1	99	127
106.8	112.7	116.5	88.5	111.7
98.5	104.4	109.3	86.7	96.4
118.7	124.7	118.1	97.9	133
90	89.1	108.3	94.3	72.2
91.9	97	105.4	72.9	95.8
113.3	121.6	116.2	91.8	124.1
113.1	118.8	111.2	93.2	127.6
104.1	114	105.8	86.5	110.7
108.7	111.5	122.7	98.9	104.6
96.7	97.2	99.5	77.2	112.7
101	102.5	107.9	79.4	115.3
116.9	113.4	124.6	90.4	139.4
105.8	109.8	115	81.4	119
99	104.9	110.3	85.8	97.4
129.4	126.1	132.7	103.6	154
83	80	99.7	73.6	81.5
88.9	96.8	96.5	75.7	88.8
115.9	117.2	118.7	99.2	127.7
104.2	112.3	112.9	88.7	105.1
113.4	117.3	130.5	94.6	114.9
112.2	111.1	137.9	98.7	106.4
100.8	102.2	115	84.2	104.5
107.3	104.3	116.8	87.7	121.6
126.6	122.9	140.9	103.3	141.4
102.9	107.6	120.7	88.2	99
117.9	121.3	134.2	93.4	126.7
128.8	131.5	147.3	106.3	134.1
87.5	89	112.4	73.1	81.3
93.8	104.4	107.1	78.6	88.6
122.7	128.9	128.4	101.6	132.7
126.2	135.9	137.7	101.4	132.9
124.6	133.3	135	98.5	134.4
116.7	121.3	151	99	103.7
115.2	120.5	137.4	89.5	119.7
111.1	120.4	132.4	83.5	115
129.9	137.9	161.3	97.4	132.9
113.3	126.1	139.8	87.8	108.5
118.5	133.2	146	90.4	113.9
133.5	146.6	154.6	97.1	142.9
102.1	103.4	142.1	79.4	95.2
102.4	117.2	120.5	85	93




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14443&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14443&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14443&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Summary of Dendrogram
LabelHeight
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
76
86.04648658313239
96.107372593841
106.45368112010501
116.81102048154313
126.8622153857191
137.01284535691469
147.17425954367417
157.71686464828818
168.29095893126965
178.38033412221731
188.85607136375944
198.89381807774367
208.95153618101385
219.06587006304414
229.07634287585039
239.66436754267965
249.70721381241806
2510.5976412469945
2610.9986362791030
2711.1830228471554
2811.5021737076085
2911.5909447414782
3011.7324336776306
3111.9050409491106
3212.0660681251185
3312.1581248554207
3412.2596900450215
3512.3211200789539
3612.5880896088326
3712.9359962894243
3813.4925905592662
3913.6842975705734
4013.9989285304269
4114.2151327816521
4214.2597335178467
4314.6860478005487
4415.189470036838
4515.2849599279815
4615.5238526146057
4716.2120325684351
4816.867127793433
4916.8875693928996
5017.4149361181717
5118.2436290249500
5218.5512802792691
5319.1515012466386
5419.8547223601842
5520.2519134898409
5620.6211056929545
5721.9752133095449
5823.1885747729350
5924.1458070894307
6024.8131013781027
6125.4161366064947
6225.8994208429455
6326.8467875173176
6429.0523665129022
6529.4492784291908
6629.6536675640636
6731.7064662174768
6834.2226533161881
6937.9618229277784
7039.0627699990669
7139.7268171390561
7241.082234603293
7342.6697785323524
7448.6013374301572
7558.9333521870256
7661.2185429424778
7767.1763351188497
7893.2870837790527
79141.727026357008

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.81934053986603 \tabularnewline
2 & 3.4957116585897 \tabularnewline
3 & 3.63180395946697 \tabularnewline
4 & 4.33474336033865 \tabularnewline
5 & 5.22206855565876 \tabularnewline
6 & 5.60267793113257 \tabularnewline
7 & 6 \tabularnewline
8 & 6.04648658313239 \tabularnewline
9 & 6.107372593841 \tabularnewline
10 & 6.45368112010501 \tabularnewline
11 & 6.81102048154313 \tabularnewline
12 & 6.8622153857191 \tabularnewline
13 & 7.01284535691469 \tabularnewline
14 & 7.17425954367417 \tabularnewline
15 & 7.71686464828818 \tabularnewline
16 & 8.29095893126965 \tabularnewline
17 & 8.38033412221731 \tabularnewline
18 & 8.85607136375944 \tabularnewline
19 & 8.89381807774367 \tabularnewline
20 & 8.95153618101385 \tabularnewline
21 & 9.06587006304414 \tabularnewline
22 & 9.07634287585039 \tabularnewline
23 & 9.66436754267965 \tabularnewline
24 & 9.70721381241806 \tabularnewline
25 & 10.5976412469945 \tabularnewline
26 & 10.9986362791030 \tabularnewline
27 & 11.1830228471554 \tabularnewline
28 & 11.5021737076085 \tabularnewline
29 & 11.5909447414782 \tabularnewline
30 & 11.7324336776306 \tabularnewline
31 & 11.9050409491106 \tabularnewline
32 & 12.0660681251185 \tabularnewline
33 & 12.1581248554207 \tabularnewline
34 & 12.2596900450215 \tabularnewline
35 & 12.3211200789539 \tabularnewline
36 & 12.5880896088326 \tabularnewline
37 & 12.9359962894243 \tabularnewline
38 & 13.4925905592662 \tabularnewline
39 & 13.6842975705734 \tabularnewline
40 & 13.9989285304269 \tabularnewline
41 & 14.2151327816521 \tabularnewline
42 & 14.2597335178467 \tabularnewline
43 & 14.6860478005487 \tabularnewline
44 & 15.189470036838 \tabularnewline
45 & 15.2849599279815 \tabularnewline
46 & 15.5238526146057 \tabularnewline
47 & 16.2120325684351 \tabularnewline
48 & 16.867127793433 \tabularnewline
49 & 16.8875693928996 \tabularnewline
50 & 17.4149361181717 \tabularnewline
51 & 18.2436290249500 \tabularnewline
52 & 18.5512802792691 \tabularnewline
53 & 19.1515012466386 \tabularnewline
54 & 19.8547223601842 \tabularnewline
55 & 20.2519134898409 \tabularnewline
56 & 20.6211056929545 \tabularnewline
57 & 21.9752133095449 \tabularnewline
58 & 23.1885747729350 \tabularnewline
59 & 24.1458070894307 \tabularnewline
60 & 24.8131013781027 \tabularnewline
61 & 25.4161366064947 \tabularnewline
62 & 25.8994208429455 \tabularnewline
63 & 26.8467875173176 \tabularnewline
64 & 29.0523665129022 \tabularnewline
65 & 29.4492784291908 \tabularnewline
66 & 29.6536675640636 \tabularnewline
67 & 31.7064662174768 \tabularnewline
68 & 34.2226533161881 \tabularnewline
69 & 37.9618229277784 \tabularnewline
70 & 39.0627699990669 \tabularnewline
71 & 39.7268171390561 \tabularnewline
72 & 41.082234603293 \tabularnewline
73 & 42.6697785323524 \tabularnewline
74 & 48.6013374301572 \tabularnewline
75 & 58.9333521870256 \tabularnewline
76 & 61.2185429424778 \tabularnewline
77 & 67.1763351188497 \tabularnewline
78 & 93.2870837790527 \tabularnewline
79 & 141.727026357008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14443&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.81934053986603[/C][/ROW]
[ROW][C]2[/C][C]3.4957116585897[/C][/ROW]
[ROW][C]3[/C][C]3.63180395946697[/C][/ROW]
[ROW][C]4[/C][C]4.33474336033865[/C][/ROW]
[ROW][C]5[/C][C]5.22206855565876[/C][/ROW]
[ROW][C]6[/C][C]5.60267793113257[/C][/ROW]
[ROW][C]7[/C][C]6[/C][/ROW]
[ROW][C]8[/C][C]6.04648658313239[/C][/ROW]
[ROW][C]9[/C][C]6.107372593841[/C][/ROW]
[ROW][C]10[/C][C]6.45368112010501[/C][/ROW]
[ROW][C]11[/C][C]6.81102048154313[/C][/ROW]
[ROW][C]12[/C][C]6.8622153857191[/C][/ROW]
[ROW][C]13[/C][C]7.01284535691469[/C][/ROW]
[ROW][C]14[/C][C]7.17425954367417[/C][/ROW]
[ROW][C]15[/C][C]7.71686464828818[/C][/ROW]
[ROW][C]16[/C][C]8.29095893126965[/C][/ROW]
[ROW][C]17[/C][C]8.38033412221731[/C][/ROW]
[ROW][C]18[/C][C]8.85607136375944[/C][/ROW]
[ROW][C]19[/C][C]8.89381807774367[/C][/ROW]
[ROW][C]20[/C][C]8.95153618101385[/C][/ROW]
[ROW][C]21[/C][C]9.06587006304414[/C][/ROW]
[ROW][C]22[/C][C]9.07634287585039[/C][/ROW]
[ROW][C]23[/C][C]9.66436754267965[/C][/ROW]
[ROW][C]24[/C][C]9.70721381241806[/C][/ROW]
[ROW][C]25[/C][C]10.5976412469945[/C][/ROW]
[ROW][C]26[/C][C]10.9986362791030[/C][/ROW]
[ROW][C]27[/C][C]11.1830228471554[/C][/ROW]
[ROW][C]28[/C][C]11.5021737076085[/C][/ROW]
[ROW][C]29[/C][C]11.5909447414782[/C][/ROW]
[ROW][C]30[/C][C]11.7324336776306[/C][/ROW]
[ROW][C]31[/C][C]11.9050409491106[/C][/ROW]
[ROW][C]32[/C][C]12.0660681251185[/C][/ROW]
[ROW][C]33[/C][C]12.1581248554207[/C][/ROW]
[ROW][C]34[/C][C]12.2596900450215[/C][/ROW]
[ROW][C]35[/C][C]12.3211200789539[/C][/ROW]
[ROW][C]36[/C][C]12.5880896088326[/C][/ROW]
[ROW][C]37[/C][C]12.9359962894243[/C][/ROW]
[ROW][C]38[/C][C]13.4925905592662[/C][/ROW]
[ROW][C]39[/C][C]13.6842975705734[/C][/ROW]
[ROW][C]40[/C][C]13.9989285304269[/C][/ROW]
[ROW][C]41[/C][C]14.2151327816521[/C][/ROW]
[ROW][C]42[/C][C]14.2597335178467[/C][/ROW]
[ROW][C]43[/C][C]14.6860478005487[/C][/ROW]
[ROW][C]44[/C][C]15.189470036838[/C][/ROW]
[ROW][C]45[/C][C]15.2849599279815[/C][/ROW]
[ROW][C]46[/C][C]15.5238526146057[/C][/ROW]
[ROW][C]47[/C][C]16.2120325684351[/C][/ROW]
[ROW][C]48[/C][C]16.867127793433[/C][/ROW]
[ROW][C]49[/C][C]16.8875693928996[/C][/ROW]
[ROW][C]50[/C][C]17.4149361181717[/C][/ROW]
[ROW][C]51[/C][C]18.2436290249500[/C][/ROW]
[ROW][C]52[/C][C]18.5512802792691[/C][/ROW]
[ROW][C]53[/C][C]19.1515012466386[/C][/ROW]
[ROW][C]54[/C][C]19.8547223601842[/C][/ROW]
[ROW][C]55[/C][C]20.2519134898409[/C][/ROW]
[ROW][C]56[/C][C]20.6211056929545[/C][/ROW]
[ROW][C]57[/C][C]21.9752133095449[/C][/ROW]
[ROW][C]58[/C][C]23.1885747729350[/C][/ROW]
[ROW][C]59[/C][C]24.1458070894307[/C][/ROW]
[ROW][C]60[/C][C]24.8131013781027[/C][/ROW]
[ROW][C]61[/C][C]25.4161366064947[/C][/ROW]
[ROW][C]62[/C][C]25.8994208429455[/C][/ROW]
[ROW][C]63[/C][C]26.8467875173176[/C][/ROW]
[ROW][C]64[/C][C]29.0523665129022[/C][/ROW]
[ROW][C]65[/C][C]29.4492784291908[/C][/ROW]
[ROW][C]66[/C][C]29.6536675640636[/C][/ROW]
[ROW][C]67[/C][C]31.7064662174768[/C][/ROW]
[ROW][C]68[/C][C]34.2226533161881[/C][/ROW]
[ROW][C]69[/C][C]37.9618229277784[/C][/ROW]
[ROW][C]70[/C][C]39.0627699990669[/C][/ROW]
[ROW][C]71[/C][C]39.7268171390561[/C][/ROW]
[ROW][C]72[/C][C]41.082234603293[/C][/ROW]
[ROW][C]73[/C][C]42.6697785323524[/C][/ROW]
[ROW][C]74[/C][C]48.6013374301572[/C][/ROW]
[ROW][C]75[/C][C]58.9333521870256[/C][/ROW]
[ROW][C]76[/C][C]61.2185429424778[/C][/ROW]
[ROW][C]77[/C][C]67.1763351188497[/C][/ROW]
[ROW][C]78[/C][C]93.2870837790527[/C][/ROW]
[ROW][C]79[/C][C]141.727026357008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14443&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14443&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of Dendrogram
LabelHeight
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
76
86.04648658313239
96.107372593841
106.45368112010501
116.81102048154313
126.8622153857191
137.01284535691469
147.17425954367417
157.71686464828818
168.29095893126965
178.38033412221731
188.85607136375944
198.89381807774367
208.95153618101385
219.06587006304414
229.07634287585039
239.66436754267965
249.70721381241806
2510.5976412469945
2610.9986362791030
2711.1830228471554
2811.5021737076085
2911.5909447414782
3011.7324336776306
3111.9050409491106
3212.0660681251185
3312.1581248554207
3412.2596900450215
3512.3211200789539
3612.5880896088326
3712.9359962894243
3813.4925905592662
3913.6842975705734
4013.9989285304269
4114.2151327816521
4214.2597335178467
4314.6860478005487
4415.189470036838
4515.2849599279815
4615.5238526146057
4716.2120325684351
4816.867127793433
4916.8875693928996
5017.4149361181717
5118.2436290249500
5218.5512802792691
5319.1515012466386
5419.8547223601842
5520.2519134898409
5620.6211056929545
5721.9752133095449
5823.1885747729350
5924.1458070894307
6024.8131013781027
6125.4161366064947
6225.8994208429455
6326.8467875173176
6429.0523665129022
6529.4492784291908
6629.6536675640636
6731.7064662174768
6834.2226533161881
6937.9618229277784
7039.0627699990669
7139.7268171390561
7241.082234603293
7342.6697785323524
7448.6013374301572
7558.9333521870256
7661.2185429424778
7767.1763351188497
7893.2870837790527
79141.727026357008



Parameters (Session):
Parameters (R input):
par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
R code (references can be found in the software module):
par3 <- as.logical(par3)
par4 <- as.logical(par4)
if (par3 == 'TRUE'){
dum = xlab
xlab = ylab
ylab = dum
}
x <- t(y)
hc <- hclust(dist(x),method=par1)
d <- as.dendrogram(hc)
str(d)
mysub <- paste('Method: ',par1)
bitmap(file='test1.png')
if (par4 == 'TRUE'){
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
if (par2 != 'ALL'){
if (par3 == 'TRUE'){
ylab = 'cluster'
} else {
xlab = 'cluster'
}
par2 <- as.numeric(par2)
memb <- cutree(hc, k = par2)
cent <- NULL
for(k in 1:par2){
cent <- rbind(cent, colMeans(x[memb == k, , drop = FALSE]))
}
hc1 <- hclust(dist(cent),method=par1, members = table(memb))
de <- as.dendrogram(hc1)
bitmap(file='test2.png')
if (par4 == 'TRUE'){
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
str(de)
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- length(x[,1])-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,hc$labels[i])
a<-table.element(a,hc$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
if (par2 != 'ALL'){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Cut Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- par2-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,i)
a<-table.element(a,hc1$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}