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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationTue, 18 Oct 2011 18:42:23 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/18/t1318977768e33tjr4opza7t39.htm/, Retrieved Sun, 28 Apr 2024 23:47:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=132668, Retrieved Sun, 28 Apr 2024 23:47:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact285

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kernel Density Estimation] [] [2011-10-18 22:42:23] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-    D      [Kernel Density Estimation] [] [2011-10-18 22:45:17] [b98453cac15ba1066b407e146608df68]
- RM          [Kernel Density Estimation] [] [2011-10-20 11:26:15] [c4580079d5d2b3f0ba412f27cdc441be]
- RMPD        [Univariate Explorative Data Analysis] [] [2011-12-02 13:23:17] [c4580079d5d2b3f0ba412f27cdc441be]
- RMPD        [Tukey lambda PPCC Plot] [] [2011-12-02 13:31:05] [c4580079d5d2b3f0ba412f27cdc441be]
- RMPD        [One Sample Tests about the Mean] [] [2011-12-02 13:50:43] [c4580079d5d2b3f0ba412f27cdc441be]
- R P           [One Sample Tests about the Mean] [] [2011-12-02 14:08:17] [c4580079d5d2b3f0ba412f27cdc441be]
- RM          [Kernel Density Estimation] [Workshop 3 ] [2012-10-19 08:32:06] [b8fff3381cd5ab6dded5825409053f97]
- R P         [Kernel Density Estimation] [Paper-KDP- EM 3] [2012-12-16 14:11:08] [8a32126242ff0300e413cfb1e4cb76da]
- RMPD        [Kernel Density Estimation] [] [2014-10-15 12:10:58] [a30ebaf79f34e9d2b1bcdd5006125d11]
- RMPD        [Notched Boxplots] [] [2014-10-15 12:28:48] [3cc57788b191749bdc089f5fad42e0f8]
- RMPD        [Notched Boxplots] [] [2014-10-15 12:37:45] [3cc57788b191749bdc089f5fad42e0f8]
- RM          [Kernel Density Estimation] [] [2014-10-15 13:08:05] [7b576ab45e161dc8fb6fe50455a3800c]
- RMP         [Kernel Density Estimation] [WS3-task3-E3] [2014-10-15 13:11:12] [81f624c2f0b20a2549c93e7c3dccf981]
- RMPD        [Kernel Density Estimation] [] [2014-10-15 13:45:31] [d253a55552bf9917a397def3be261e30]
- RMP         [Kernel Density Estimation] [] [2014-10-15 14:10:24] [eee95947b6243a1febfcd5f41483d733]
- RMP         [Kernel Density Estimation] [Q3] [2014-10-15 14:27:22] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMP         [Kernel Density Estimation] [Vraag 3 E3] [2014-10-15 14:31:09] [36781f05c04c55e165b348994b753b95]
- RMP         [Kernel Density Estimation] [] [2014-10-15 14:42:43] [ae96d02647dd9ad9c105f1fa6642e295]
- RMP         [Kernel Density Estimation] [WS3 Question 3.5] [2014-10-15 14:49:27] [ce9f16fa58bb2303d66047ab4343b505]
- RMP         [Kernel Density Estimation] [] [2014-10-15 14:50:28] [b007041690f75f30ec26eb43925b7b35]
- RMP         [Kernel Density Estimation] [] [2014-10-15 14:51:33] [fda96889f4ef6d31c0c28fd64d281011]
- RM          [Kernel Density Estimation] [Task 3] [2014-10-15 15:36:04] [1651e47f7f65f3a10bbbb444d4b26be7]
- RMP         [Kernel Density Estimation] [] [2014-10-15 16:31:30] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM          [Kernel Density Estimation] [] [2014-10-15 16:38:05] [80a885d02035c87be624c190e38c794d]
- RMP         [Kernel Density Estimation] [] [2014-10-15 18:40:47] [1a6d42b46b3d01bc960fcfb45e99fecd]
- RMPD        [Kernel Density Estimation] [] [2014-10-15 19:23:50] [99723d3e379f668157309b7b2091b15d]
- RMP         [Kernel Density Estimation] [] [2014-10-15 19:31:32] [99723d3e379f668157309b7b2091b15d]
- RM          [Kernel Density Estimation] [] [2014-10-16 14:58:23] [6656361aa4da5489a6a45e803df0211c]
- RMP         [Kernel Density Estimation] [gaus] [2014-10-16 15:40:53] [118a39334d200089014f927b57d44a19]
- RM          [Kernel Density Estimation] [] [2014-10-16 16:02:33] [044144d0728beecdb08e0d94daaff202]
- RM          [Kernel Density Estimation] [ws3 Q3] [2014-10-16 16:44:33] [8523551e1e4e3cbe97fa25692e177b2e]
- RMPD        [Kernel Density Estimation] [W3T3AG] [2014-10-16 17:48:11] [2a42404c3b0fbfc7622e3301a77a3a9b]
- RM          [Kernel Density Estimation] [] [2014-10-16 18:32:43] [8d160a85bfd9526a7d0e42afc5fb569b]
- RMPD        [Kernel Density Estimation] [] [2014-10-16 19:04:24] [95c11abf048d3a1e472aeccb09199113]
-    D          [Kernel Density Estimation] [] [2014-10-16 19:46:01] [95c11abf048d3a1e472aeccb09199113]
- RMP         [Kernel Density Estimation] [Gaussian] [2014-10-16 19:43:09] [3d5212c89039da1a3a24d8e18d23c716]
-    D          [Kernel Density Estimation] [Gaussian] [2014-10-16 19:54:50] [3d5212c89039da1a3a24d8e18d23c716]
- RMPD        [Kernel Density Estimation] [Gaussian] [2014-10-16 19:48:38] [3d5212c89039da1a3a24d8e18d23c716]
-    D          [Kernel Density Estimation] [Gaussian] [2014-10-16 19:50:20] [3d5212c89039da1a3a24d8e18d23c716]
- RMP         [Kernel Density Estimation] [] [2014-10-16 19:51:07] [dacad244957cb51472792888970d4390]
- RMP         [Kernel Density Estimation] [Gaussian] [2014-10-16 19:56:22] [3d5212c89039da1a3a24d8e18d23c716]
- RMPD        [Kernel Density Estimation] [] [2014-12-15 13:20:00] [fa1b8827d7de91b8b87087311d3d9fa1]
-   PD          [Kernel Density Estimation] [] [2014-12-15 13:27:32] [fa1b8827d7de91b8b87087311d3d9fa1]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [] [2011-10-18 22:45:56] [b98453cac15ba1066b407e146608df68]
- R P         [Maximum-likelihood Fitting - Normal Distribution] [Histrogram intrin...] [2011-12-19 20:21:52] [c035d973aa8488be257660c2dc4ec375]
- R  D        [Maximum-likelihood Fitting - Normal Distribution] [histogram] [2012-12-01 11:22:44] [93b3e8d0ee7e4ccb504c2c04707a9358]
- RMPD        [Skewness and Kurtosis Test] [skewness & kurtosis ] [2012-12-01 11:24:42] [93b3e8d0ee7e4ccb504c2c04707a9358]
- RMPD        [Central Tendency] [central tendency ] [2012-12-01 11:29:11] [93b3e8d0ee7e4ccb504c2c04707a9358]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21
15
18
11
8
19
4
20
16
14
10
13
14
8
23
11
9
24
5
15
5
19
6
13
11
17
17
5
9
15
17
17
20
12
7
16
7
14
24
15
15
10
14
18
12
9
9
8
18
10
17
14
16
10
19
10
14
10
4
19
9
12
16
11
18
11
24
17
18
9
19
18
12
23
22
14
14
16
23
7
10
12
12
12
17
21
16
11
14
13
9
19
13
19
13
13
13
14
12
22
11
5
18
19
14
15
12
19
15
17
8
10
12
12
20
12
12
14
6
10
18
18
7
18
9
17
22
11
15
17
15
22
9
13
20
14
14
12
20
20
8
17
9
18
22
10
13
15
18
18
12
12
20
12
16
16
18
16
13
17
13
17

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'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132668&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132668&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'Gwilym Jenkins' @ jenkins.wessa.net






Properties of Density Trace
Bandwidth1.49677288919099
#Observations162

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 1.49677288919099 \tabularnewline
#Observations & 162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132668&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]1.49677288919099[/C][/ROW]
[ROW][C]#Observations[/C][C]162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132668&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:

Properties of Density Trace
Bandwidth1.49677288919099
#Observations162


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ;
Parameters (R input):
par1 = 0 ;
R code (references can be found in the software module):
if (par1 == '0') bw <- 'nrd0'
if (par1 != '0') bw <- as.numeric(par1)
bitmap(file='density1.png')
mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE)
plot(mydensity1,main='Gaussian Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
mydensity1
bitmap(file='density2.png')
mydensity2<-density(x,bw=bw,kernel='epanechnikov',na.rm=TRUE)
plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density3.png')
mydensity3<-density(x,bw=bw,kernel='rectangular',na.rm=TRUE)
plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density4.png')
mydensity4<-density(x,bw=bw,kernel='triangular',na.rm=TRUE)
plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density5.png')
mydensity5<-density(x,bw=bw,kernel='biweight',na.rm=TRUE)
plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density6.png')
mydensity6<-density(x,bw=bw,kernel='cosine',na.rm=TRUE)
plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density7.png')
mydensity7<-density(x,bw=bw,kernel='optcosine',na.rm=TRUE)
plot(mydensity7,main='Optcosine Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Properties of Density Trace',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bandwidth',header=TRUE)
a<-table.element(a,mydensity1$bw)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#Observations',header=TRUE)
a<-table.element(a,mydensity1$n)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')