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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, 10 Nov 2008 04:00:34 -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/10/t1226314874c2cigcddrdietr5.htm/, Retrieved Sun, 19 May 2024 10:47:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22933, Retrieved Sun, 19 May 2024 10:47:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188

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] [] [2008-11-10 11:00:34] [1fa440a634ec541bd583650ead0404df] [Current]
Feedback Forum
2008-11-22 09:45:53 [Astrid Sniekers] [reply] 
Q2:

De student heeft zijn/haar tijdreeksen niet in het document geplaatst. Hierdoor weet ik niet welke datasets hij/zij hier gebruikt. Ook zegt de student dit niet in zijn/haar document. Er zijn geen conclusies getrokken. De student zal aan de hand van de oplossingen die in de les zijn gegeven, de oefening opnieuw moeten maken.

Q3+Q4+Q5:

De student heeft geen poging gedaan om een oplossing te formuleren. De vragen zijn onbeantwoord gebleven.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.5	104.3	7.6
87.4	94.6	8.2
89.9	90.4	8.3
109.8	108.9	8.4
111.7	111.4	8.4
98.6	100.8	8.4
96.9	102.5	8.6
95.1	98.2	8.9
97	98.7	8.8
112.7	113.3	8.3
102.9	104.6	7.5
97.4	99.3	7.2
111.4	111.8	7.5
87.4	97.3	8.8
96.8	97.7	9.3
114.1	115.6	9.3
110.3	111.9	8.7
103.9	107	8.2
101.6	107.1	8.3
94.6	100.6	8.5
95.9	99.2	8.6
104.7	108.4	8.6
102.8	103	8.2
98.1	99.8	8.1
113.9	115	8
80.9	90.8	8.6
95.7	95.9	8.7
113.2	114.4	8.8
105.9	108.2	8.5
108.8	112.6	8.4
102.3	109.1	8.5
99	105	8.7
100.7	105	8.7
115.5	118.5	8.6
100.7	103.7	8.5
109.9	112.5	8.3
114.6	116.6	8.1
85.4	96.6	8.2
100.5	101.9	8.1
114.8	116.5	8.1
116.5	119.3	7.9
112.9	115.4	7.9
102	108.5	7.9
106	111.5	8
105.3	108.8	8
118.8	121.8	7.9
106.1	109.6	8
109.3	112.2	7.7
117.2	119.6	7.2
92.5	104.1	7.5
104.2	105.3	7.3
112.5	115	7
122.4	124.1	7
113.3	116.8	7
100	107.5	7.2
110.7	115.6	7.3
112.8	116.2	7.1
109.8	116.3	6.8
117.3	119	6.6
109.1	111.9	6.2
115.9	118.6	6.2

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'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22933&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22933&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Summary of Dendrogram
LabelHeight
10.223606797749979
20.787400787401177
30.824621125123523
40.854400374531749
50.899999999999995
60.938083151964678
70.94868329805051
81.02956301409870
91.06301458127347
101.08627804912002
111.13578166916006
121.15758369027902
131.15766651051376
141.22065556157337
151.24498995979888
161.31529464379659
171.31529464379660
181.44189518308226
191.61099618585172
201.68184642053654
211.71851870736342
221.76128398081288
231.95409896349372
241.98242276015990
252.10391475115304
262.10833217002918
272.12784746941478
282.20227155455453
292.22081734816285
302.43325236839077
312.55147016443461
322.75631615287491
332.89690575210337
342.98496231131987
352.99543645643786
363.03358529916785
373.09384386867082
383.45554104070641
393.80688554432009
404.03832176461218
414.29750330010463
424.36577599058862
434.55468969631486
444.7218590368726
454.86238075940946
464.92672496182752
477.96140495525642
487.96261578114523
498.65372555776414
509.63875789986347
519.95623838505311
5210.4697957696811
5311.5048122045791
5412.2248075880169
5521.9224719317135
5635.3860830242731
5755.4929406964015
5866.9451582383682
59178.274381171402
60314.094936352818

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.223606797749979 \tabularnewline
2 & 0.787400787401177 \tabularnewline
3 & 0.824621125123523 \tabularnewline
4 & 0.854400374531749 \tabularnewline
5 & 0.899999999999995 \tabularnewline
6 & 0.938083151964678 \tabularnewline
7 & 0.94868329805051 \tabularnewline
8 & 1.02956301409870 \tabularnewline
9 & 1.06301458127347 \tabularnewline
10 & 1.08627804912002 \tabularnewline
11 & 1.13578166916006 \tabularnewline
12 & 1.15758369027902 \tabularnewline
13 & 1.15766651051376 \tabularnewline
14 & 1.22065556157337 \tabularnewline
15 & 1.24498995979888 \tabularnewline
16 & 1.31529464379659 \tabularnewline
17 & 1.31529464379660 \tabularnewline
18 & 1.44189518308226 \tabularnewline
19 & 1.61099618585172 \tabularnewline
20 & 1.68184642053654 \tabularnewline
21 & 1.71851870736342 \tabularnewline
22 & 1.76128398081288 \tabularnewline
23 & 1.95409896349372 \tabularnewline
24 & 1.98242276015990 \tabularnewline
25 & 2.10391475115304 \tabularnewline
26 & 2.10833217002918 \tabularnewline
27 & 2.12784746941478 \tabularnewline
28 & 2.20227155455453 \tabularnewline
29 & 2.22081734816285 \tabularnewline
30 & 2.43325236839077 \tabularnewline
31 & 2.55147016443461 \tabularnewline
32 & 2.75631615287491 \tabularnewline
33 & 2.89690575210337 \tabularnewline
34 & 2.98496231131987 \tabularnewline
35 & 2.99543645643786 \tabularnewline
36 & 3.03358529916785 \tabularnewline
37 & 3.09384386867082 \tabularnewline
38 & 3.45554104070641 \tabularnewline
39 & 3.80688554432009 \tabularnewline
40 & 4.03832176461218 \tabularnewline
41 & 4.29750330010463 \tabularnewline
42 & 4.36577599058862 \tabularnewline
43 & 4.55468969631486 \tabularnewline
44 & 4.7218590368726 \tabularnewline
45 & 4.86238075940946 \tabularnewline
46 & 4.92672496182752 \tabularnewline
47 & 7.96140495525642 \tabularnewline
48 & 7.96261578114523 \tabularnewline
49 & 8.65372555776414 \tabularnewline
50 & 9.63875789986347 \tabularnewline
51 & 9.95623838505311 \tabularnewline
52 & 10.4697957696811 \tabularnewline
53 & 11.5048122045791 \tabularnewline
54 & 12.2248075880169 \tabularnewline
55 & 21.9224719317135 \tabularnewline
56 & 35.3860830242731 \tabularnewline
57 & 55.4929406964015 \tabularnewline
58 & 66.9451582383682 \tabularnewline
59 & 178.274381171402 \tabularnewline
60 & 314.094936352818 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22933&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.223606797749979[/C][/ROW]
[ROW][C]2[/C][C]0.787400787401177[/C][/ROW]
[ROW][C]3[/C][C]0.824621125123523[/C][/ROW]
[ROW][C]4[/C][C]0.854400374531749[/C][/ROW]
[ROW][C]5[/C][C]0.899999999999995[/C][/ROW]
[ROW][C]6[/C][C]0.938083151964678[/C][/ROW]
[ROW][C]7[/C][C]0.94868329805051[/C][/ROW]
[ROW][C]8[/C][C]1.02956301409870[/C][/ROW]
[ROW][C]9[/C][C]1.06301458127347[/C][/ROW]
[ROW][C]10[/C][C]1.08627804912002[/C][/ROW]
[ROW][C]11[/C][C]1.13578166916006[/C][/ROW]
[ROW][C]12[/C][C]1.15758369027902[/C][/ROW]
[ROW][C]13[/C][C]1.15766651051376[/C][/ROW]
[ROW][C]14[/C][C]1.22065556157337[/C][/ROW]
[ROW][C]15[/C][C]1.24498995979888[/C][/ROW]
[ROW][C]16[/C][C]1.31529464379659[/C][/ROW]
[ROW][C]17[/C][C]1.31529464379660[/C][/ROW]
[ROW][C]18[/C][C]1.44189518308226[/C][/ROW]
[ROW][C]19[/C][C]1.61099618585172[/C][/ROW]
[ROW][C]20[/C][C]1.68184642053654[/C][/ROW]
[ROW][C]21[/C][C]1.71851870736342[/C][/ROW]
[ROW][C]22[/C][C]1.76128398081288[/C][/ROW]
[ROW][C]23[/C][C]1.95409896349372[/C][/ROW]
[ROW][C]24[/C][C]1.98242276015990[/C][/ROW]
[ROW][C]25[/C][C]2.10391475115304[/C][/ROW]
[ROW][C]26[/C][C]2.10833217002918[/C][/ROW]
[ROW][C]27[/C][C]2.12784746941478[/C][/ROW]
[ROW][C]28[/C][C]2.20227155455453[/C][/ROW]
[ROW][C]29[/C][C]2.22081734816285[/C][/ROW]
[ROW][C]30[/C][C]2.43325236839077[/C][/ROW]
[ROW][C]31[/C][C]2.55147016443461[/C][/ROW]
[ROW][C]32[/C][C]2.75631615287491[/C][/ROW]
[ROW][C]33[/C][C]2.89690575210337[/C][/ROW]
[ROW][C]34[/C][C]2.98496231131987[/C][/ROW]
[ROW][C]35[/C][C]2.99543645643786[/C][/ROW]
[ROW][C]36[/C][C]3.03358529916785[/C][/ROW]
[ROW][C]37[/C][C]3.09384386867082[/C][/ROW]
[ROW][C]38[/C][C]3.45554104070641[/C][/ROW]
[ROW][C]39[/C][C]3.80688554432009[/C][/ROW]
[ROW][C]40[/C][C]4.03832176461218[/C][/ROW]
[ROW][C]41[/C][C]4.29750330010463[/C][/ROW]
[ROW][C]42[/C][C]4.36577599058862[/C][/ROW]
[ROW][C]43[/C][C]4.55468969631486[/C][/ROW]
[ROW][C]44[/C][C]4.7218590368726[/C][/ROW]
[ROW][C]45[/C][C]4.86238075940946[/C][/ROW]
[ROW][C]46[/C][C]4.92672496182752[/C][/ROW]
[ROW][C]47[/C][C]7.96140495525642[/C][/ROW]
[ROW][C]48[/C][C]7.96261578114523[/C][/ROW]
[ROW][C]49[/C][C]8.65372555776414[/C][/ROW]
[ROW][C]50[/C][C]9.63875789986347[/C][/ROW]
[ROW][C]51[/C][C]9.95623838505311[/C][/ROW]
[ROW][C]52[/C][C]10.4697957696811[/C][/ROW]
[ROW][C]53[/C][C]11.5048122045791[/C][/ROW]
[ROW][C]54[/C][C]12.2248075880169[/C][/ROW]
[ROW][C]55[/C][C]21.9224719317135[/C][/ROW]
[ROW][C]56[/C][C]35.3860830242731[/C][/ROW]
[ROW][C]57[/C][C]55.4929406964015[/C][/ROW]
[ROW][C]58[/C][C]66.9451582383682[/C][/ROW]
[ROW][C]59[/C][C]178.274381171402[/C][/ROW]
[ROW][C]60[/C][C]314.094936352818[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22933&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
10.223606797749979
20.787400787401177
30.824621125123523
40.854400374531749
50.899999999999995
60.938083151964678
70.94868329805051
81.02956301409870
91.06301458127347
101.08627804912002
111.13578166916006
121.15758369027902
131.15766651051376
141.22065556157337
151.24498995979888
161.31529464379659
171.31529464379660
181.44189518308226
191.61099618585172
201.68184642053654
211.71851870736342
221.76128398081288
231.95409896349372
241.98242276015990
252.10391475115304
262.10833217002918
272.12784746941478
282.20227155455453
292.22081734816285
302.43325236839077
312.55147016443461
322.75631615287491
332.89690575210337
342.98496231131987
352.99543645643786
363.03358529916785
373.09384386867082
383.45554104070641
393.80688554432009
404.03832176461218
414.29750330010463
424.36577599058862
434.55468969631486
444.7218590368726
454.86238075940946
464.92672496182752
477.96140495525642
487.96261578114523
498.65372555776414
509.63875789986347
519.95623838505311
5210.4697957696811
5311.5048122045791
5412.2248075880169
5521.9224719317135
5635.3860830242731
5755.4929406964015
5866.9451582383682
59178.274381171402
60314.094936352818


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')
}