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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 24 Nov 2008 13:25:48 -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/2008/Nov/24/t1227558406htv6g1fapyoy2k5.htm/, Retrieved Tue, 14 May 2024 23:27:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=25517, Retrieved Tue, 14 May 2024 23:27:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Hierarchical Clustering] [Q2] [2008-11-24 20:25:48] [2ba2a74112fb2c960057a572bf2825d3] [Current]
Feedback Forum
2008-11-24 20:29:37 [Liese Tormans] [reply] 
Deze berekeningsmethode gaat gelijkaardige observaties groeperen en zo clusters vormen. En dit telkens opnieuw (De clusters worden steeds verder onderverdeeld).Daarnaast is het bij deze methode ook mogelijk om bepaalde trends te zien. Als we kijken naar deze grafiek zien we een mooi patroon dat toch wel een beetje terugkeert.
2008-11-24 22:58:48 [Liese Tormans] [reply] 
Ik heb gezien dat ik bij mijn beoordeling bij Q3 dezelfde link gegeven heb als bij Q2 ik wil hier dan ook de juiste link zetten voor Q3 want ik kan dit in mijn beoordeling niet meer veranderen.

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/24/t1227560172004vvdlltch1msg.htm/, Retrieved Mon, 24 Nov 2008 22:49:51 +0000

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.6	93.4	83,6	113,5
99.5	101.1	86,5	106,9
110.7	114.2	96	119,5
104.4	104.8	91	109,4
99.8	113.3	87,2	106,8
108.4	118.2	84,5	118,7
91.8	83.6	59,1	109
90.2	73.9	61,6	112,9
109.2	99.5	98,8	125,1
111.4	97.7	97,9	126,6
102.8	103	92,8	122,6
91.5	106.3	84,2	127,4
98.9	92.2	74,6	107,1
100.8	101.8	79,8	112
112.1	122.8	86,7	122,1
106.7	111.8	79,8	111,7
103.5	106.3	87	113,1
111.3	121.5	91,3	128,2
100.8	81.9	58,7	115,2
94.2	85.4	62,8	117,4
115.5	110.9	87,8	132
114.1	117.3	90,4	130,8
105	106.3	80,6	128
94	105.6	73,5	132,8
98.3	101.2	71,5	116,9
96	105.9	70,6	110,9
101.8	126.3	78,3	123,6
102.5	111.9	76	117,4
98.7	108.9	77,4	122,6
110.7	127.2	80,9	123,5
88.7	94.2	63,5	111,4
89.2	85.7	58	113,8
106.8	116.2	88,2	131,2
104.1	107.2	81,2	126,9
103.2	110.5	84,9	126,1
93.7	112	76,4	121,2
100.5	104.4	71,5	118,7
98.7	112	76,1	117,9
111.1	132.8	82,9	135,3
104.5	110.8	78,1	120,7
105	128.7	82	126,3
109.7	136.8	84,7	129,7
92.6	94.8	55,7	113,3
94.2	88.8	59,5	120,5
111.7	123.2	83,2	135,5
113.4	125.3	87,6	137,5
106.8	122.7	76,2	130,7
98	125.8	76,4	133,1
104.2	116.3	68,2	121,5
105.4	118.6	70	120,5
117.5	142.1	76,3	137
107.9	127.9	70,9	123,6
107	132	72,5	128,5
113.3	152.4	80,1	135
97.6	110.8	57,4	120,8
98.2	99.1	62,7	121,2
111.3	134.9	82,6	132,1
116	133.2	88,9	134,5
108.1	131	80,5	133,6
95.6	133.9	72,1	135,9
110.8	119.9	69,4	124,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational 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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25517&T=0

[TABLE]
[ROW][C]Summary of computational 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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25517&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Summary of Dendrogram
LabelHeight
11.78605710994918
23.31209903233584
33.33766385365573
43.83536178215302
53.84447655734823
64.28018691180654
75.53714727996284
85.54325886715957
95.66215506675682
105.72276157112979
115.74891294072193
125.9514704065466
136.08111831820431
146.12943716828878
156.30728891628711
166.6475559418481
177.15891053163816
187.17656347585904
197.45393471120066
208.548684109265
218.59530480910621
228.68097720376029
238.93187523769623
248.94538987411951
259.63587048480831
2610.0300691030206
2710.6864570720117
2810.8780684608904
2911.2799630673671
3011.3394520284487
3111.3415166534287
3211.6815779087268
3311.9235061957463
3412.2633600615818
3512.8646803302686
3613.4026874421794
3713.5347892132223
3813.5370569844050
3914.2306922061872
4014.5626703246354
4114.8227320175029
4216.0442082255151
4317.4156919937939
4420.0002375155811
4521.0959265210519
4622.0269917840084
4722.035865847362
4822.8132078655976
4929.2972660426492
5029.5247764768785
5131.2522751339651
5231.9614721811981
5337.7467667346366
5452.9831239015886
5561.3029059992945
5683.0135386954929
5792.5527570801319
5893.9031599182346
59222.850909119604
60450.196400111336

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.78605710994918 \tabularnewline
2 & 3.31209903233584 \tabularnewline
3 & 3.33766385365573 \tabularnewline
4 & 3.83536178215302 \tabularnewline
5 & 3.84447655734823 \tabularnewline
6 & 4.28018691180654 \tabularnewline
7 & 5.53714727996284 \tabularnewline
8 & 5.54325886715957 \tabularnewline
9 & 5.66215506675682 \tabularnewline
10 & 5.72276157112979 \tabularnewline
11 & 5.74891294072193 \tabularnewline
12 & 5.9514704065466 \tabularnewline
13 & 6.08111831820431 \tabularnewline
14 & 6.12943716828878 \tabularnewline
15 & 6.30728891628711 \tabularnewline
16 & 6.6475559418481 \tabularnewline
17 & 7.15891053163816 \tabularnewline
18 & 7.17656347585904 \tabularnewline
19 & 7.45393471120066 \tabularnewline
20 & 8.548684109265 \tabularnewline
21 & 8.59530480910621 \tabularnewline
22 & 8.68097720376029 \tabularnewline
23 & 8.93187523769623 \tabularnewline
24 & 8.94538987411951 \tabularnewline
25 & 9.63587048480831 \tabularnewline
26 & 10.0300691030206 \tabularnewline
27 & 10.6864570720117 \tabularnewline
28 & 10.8780684608904 \tabularnewline
29 & 11.2799630673671 \tabularnewline
30 & 11.3394520284487 \tabularnewline
31 & 11.3415166534287 \tabularnewline
32 & 11.6815779087268 \tabularnewline
33 & 11.9235061957463 \tabularnewline
34 & 12.2633600615818 \tabularnewline
35 & 12.8646803302686 \tabularnewline
36 & 13.4026874421794 \tabularnewline
37 & 13.5347892132223 \tabularnewline
38 & 13.5370569844050 \tabularnewline
39 & 14.2306922061872 \tabularnewline
40 & 14.5626703246354 \tabularnewline
41 & 14.8227320175029 \tabularnewline
42 & 16.0442082255151 \tabularnewline
43 & 17.4156919937939 \tabularnewline
44 & 20.0002375155811 \tabularnewline
45 & 21.0959265210519 \tabularnewline
46 & 22.0269917840084 \tabularnewline
47 & 22.035865847362 \tabularnewline
48 & 22.8132078655976 \tabularnewline
49 & 29.2972660426492 \tabularnewline
50 & 29.5247764768785 \tabularnewline
51 & 31.2522751339651 \tabularnewline
52 & 31.9614721811981 \tabularnewline
53 & 37.7467667346366 \tabularnewline
54 & 52.9831239015886 \tabularnewline
55 & 61.3029059992945 \tabularnewline
56 & 83.0135386954929 \tabularnewline
57 & 92.5527570801319 \tabularnewline
58 & 93.9031599182346 \tabularnewline
59 & 222.850909119604 \tabularnewline
60 & 450.196400111336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25517&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.78605710994918[/C][/ROW]
[ROW][C]2[/C][C]3.31209903233584[/C][/ROW]
[ROW][C]3[/C][C]3.33766385365573[/C][/ROW]
[ROW][C]4[/C][C]3.83536178215302[/C][/ROW]
[ROW][C]5[/C][C]3.84447655734823[/C][/ROW]
[ROW][C]6[/C][C]4.28018691180654[/C][/ROW]
[ROW][C]7[/C][C]5.53714727996284[/C][/ROW]
[ROW][C]8[/C][C]5.54325886715957[/C][/ROW]
[ROW][C]9[/C][C]5.66215506675682[/C][/ROW]
[ROW][C]10[/C][C]5.72276157112979[/C][/ROW]
[ROW][C]11[/C][C]5.74891294072193[/C][/ROW]
[ROW][C]12[/C][C]5.9514704065466[/C][/ROW]
[ROW][C]13[/C][C]6.08111831820431[/C][/ROW]
[ROW][C]14[/C][C]6.12943716828878[/C][/ROW]
[ROW][C]15[/C][C]6.30728891628711[/C][/ROW]
[ROW][C]16[/C][C]6.6475559418481[/C][/ROW]
[ROW][C]17[/C][C]7.15891053163816[/C][/ROW]
[ROW][C]18[/C][C]7.17656347585904[/C][/ROW]
[ROW][C]19[/C][C]7.45393471120066[/C][/ROW]
[ROW][C]20[/C][C]8.548684109265[/C][/ROW]
[ROW][C]21[/C][C]8.59530480910621[/C][/ROW]
[ROW][C]22[/C][C]8.68097720376029[/C][/ROW]
[ROW][C]23[/C][C]8.93187523769623[/C][/ROW]
[ROW][C]24[/C][C]8.94538987411951[/C][/ROW]
[ROW][C]25[/C][C]9.63587048480831[/C][/ROW]
[ROW][C]26[/C][C]10.0300691030206[/C][/ROW]
[ROW][C]27[/C][C]10.6864570720117[/C][/ROW]
[ROW][C]28[/C][C]10.8780684608904[/C][/ROW]
[ROW][C]29[/C][C]11.2799630673671[/C][/ROW]
[ROW][C]30[/C][C]11.3394520284487[/C][/ROW]
[ROW][C]31[/C][C]11.3415166534287[/C][/ROW]
[ROW][C]32[/C][C]11.6815779087268[/C][/ROW]
[ROW][C]33[/C][C]11.9235061957463[/C][/ROW]
[ROW][C]34[/C][C]12.2633600615818[/C][/ROW]
[ROW][C]35[/C][C]12.8646803302686[/C][/ROW]
[ROW][C]36[/C][C]13.4026874421794[/C][/ROW]
[ROW][C]37[/C][C]13.5347892132223[/C][/ROW]
[ROW][C]38[/C][C]13.5370569844050[/C][/ROW]
[ROW][C]39[/C][C]14.2306922061872[/C][/ROW]
[ROW][C]40[/C][C]14.5626703246354[/C][/ROW]
[ROW][C]41[/C][C]14.8227320175029[/C][/ROW]
[ROW][C]42[/C][C]16.0442082255151[/C][/ROW]
[ROW][C]43[/C][C]17.4156919937939[/C][/ROW]
[ROW][C]44[/C][C]20.0002375155811[/C][/ROW]
[ROW][C]45[/C][C]21.0959265210519[/C][/ROW]
[ROW][C]46[/C][C]22.0269917840084[/C][/ROW]
[ROW][C]47[/C][C]22.035865847362[/C][/ROW]
[ROW][C]48[/C][C]22.8132078655976[/C][/ROW]
[ROW][C]49[/C][C]29.2972660426492[/C][/ROW]
[ROW][C]50[/C][C]29.5247764768785[/C][/ROW]
[ROW][C]51[/C][C]31.2522751339651[/C][/ROW]
[ROW][C]52[/C][C]31.9614721811981[/C][/ROW]
[ROW][C]53[/C][C]37.7467667346366[/C][/ROW]
[ROW][C]54[/C][C]52.9831239015886[/C][/ROW]
[ROW][C]55[/C][C]61.3029059992945[/C][/ROW]
[ROW][C]56[/C][C]83.0135386954929[/C][/ROW]
[ROW][C]57[/C][C]92.5527570801319[/C][/ROW]
[ROW][C]58[/C][C]93.9031599182346[/C][/ROW]
[ROW][C]59[/C][C]222.850909119604[/C][/ROW]
[ROW][C]60[/C][C]450.196400111336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25517&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Summary of Dendrogram
LabelHeight
11.78605710994918
23.31209903233584
33.33766385365573
43.83536178215302
53.84447655734823
64.28018691180654
75.53714727996284
85.54325886715957
95.66215506675682
105.72276157112979
115.74891294072193
125.9514704065466
136.08111831820431
146.12943716828878
156.30728891628711
166.6475559418481
177.15891053163816
187.17656347585904
197.45393471120066
208.548684109265
218.59530480910621
228.68097720376029
238.93187523769623
248.94538987411951
259.63587048480831
2610.0300691030206
2710.6864570720117
2810.8780684608904
2911.2799630673671
3011.3394520284487
3111.3415166534287
3211.6815779087268
3311.9235061957463
3412.2633600615818
3512.8646803302686
3613.4026874421794
3713.5347892132223
3813.5370569844050
3914.2306922061872
4014.5626703246354
4114.8227320175029
4216.0442082255151
4317.4156919937939
4420.0002375155811
4521.0959265210519
4622.0269917840084
4722.035865847362
4822.8132078655976
4929.2972660426492
5029.5247764768785
5131.2522751339651
5231.9614721811981
5337.7467667346366
5452.9831239015886
5561.3029059992945
5683.0135386954929
5792.5527570801319
5893.9031599182346
59222.850909119604
60450.196400111336


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = ward ; 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')
}