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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 18:49:22 -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/t1318978170sij4ncqydtx5ltb.htm/, Retrieved Thu, 16 May 2024 05:04:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=132680, Retrieved Thu, 16 May 2024 05:04:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact225

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] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2011-10-18 22:46:45] [b98453cac15ba1066b407e146608df68]
- RMPD        [Kernel Density Estimation] [] [2011-10-18 22:49:22] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- RMPD          [Kernel Density Estimation] [] [2014-10-15 12:51:24] [5d70ade31d892c55b68fa1af48da4bec]
- RM            [Kernel Density Estimation] [] [2014-10-15 13:09:46] [7b576ab45e161dc8fb6fe50455a3800c]
- RMP           [Kernel Density Estimation] [WS3-task3-AM] [2014-10-15 13:17:51] [81f624c2f0b20a2549c93e7c3dccf981]
- RMP           [Kernel Density Estimation] [] [2014-10-15 14:15:56] [eee95947b6243a1febfcd5f41483d733]
- RMP           [Kernel Density Estimation] [] [2014-10-15 14:15:56] [eee95947b6243a1febfcd5f41483d733]
- RMP           [Kernel Density Estimation] [Q3] [2014-10-15 14:36:47] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMP           [Kernel Density Estimation] [Vraag 3 demotivatie] [2014-10-15 14:38:18] [36781f05c04c55e165b348994b753b95]
- RMP           [Kernel Density Estimation] [] [2014-10-15 14:50:50] [ae96d02647dd9ad9c105f1fa6642e295]
- RMP           [Kernel Density Estimation] [] [2014-10-15 14:52:29] [b007041690f75f30ec26eb43925b7b35]
- RMP           [Kernel Density Estimation] [WS3 Question 3.9] [2014-10-15 14:55:21] [ce9f16fa58bb2303d66047ab4343b505]
- RMP           [Kernel Density Estimation] [] [2014-10-15 14:57:57] [fda96889f4ef6d31c0c28fd64d281011]
- RM            [Kernel Density Estimation] [Task 3] [2014-10-15 15:37:40] [1651e47f7f65f3a10bbbb444d4b26be7]
- RMP           [Kernel Density Estimation] [] [2014-10-15 16:44:17] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM            [Kernel Density Estimation] [] [2014-10-15 16:47:03] [80a885d02035c87be624c190e38c794d]
- RMP           [Kernel Density Estimation] [] [2014-10-15 17:41:20] [5efa6717cfe6505454df834acc87b53b]
- RMP           [Kernel Density Estimation] [] [2014-10-15 18:32:57] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP           [Kernel Density Estimation] [] [2014-10-15 18:44:25] [1a6d42b46b3d01bc960fcfb45e99fecd]
- RMP           [Kernel Density Estimation] [] [2014-10-15 19:36:26] [99723d3e379f668157309b7b2091b15d]
- RM            [Kernel Density Estimation] [] [2014-10-16 15:04:05] [6656361aa4da5489a6a45e803df0211c]
- RM            [Kernel Density Estimation] [] [2014-10-16 16:13:31] [044144d0728beecdb08e0d94daaff202]
- RMP           [Kernel Density Estimation] [q3 amotivation ga...] [2014-10-16 16:16:00] [673773038936aef3a5778d7e6bda5c1e]
- RM            [Kernel Density Estimation] [ws3 Q3] [2014-10-16 16:48:58] [8523551e1e4e3cbe97fa25692e177b2e]
- RMPD          [Kernel Density Estimation] [W3T3E3] [2014-10-16 17:53:10] [2a42404c3b0fbfc7622e3301a77a3a9b]
- RMP           [Kernel Density Estimation] [] [2014-10-16 19:54:09] [dacad244957cb51472792888970d4390]
- RMP           [Kernel Density Estimation] [Gaussian] [2014-10-16 20:00:23] [3d5212c89039da1a3a24d8e18d23c716]
- RMPD          [Cronbach Alpha] [Cronbach Alpha I1] [2014-11-30 16:47:26] [f12bfb29749f0c3f544bf278d0782c85]
- RMPD          [Kernel Density Estimation] [Demotivation Kernel] [2014-12-09 09:58:01] [1a6d42b46b3d01bc960fcfb45e99fecd]
-   P             [Kernel Density Estimation] [] [2014-12-18 19:38:51] [d69b52d23ca73e15a0c741afa583703c]
- RMPD          [Kernel Density Estimation] [] [2014-12-09 11:17:33] [6795cd14e59cd8fafcdf800c40b889d9]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'AstonUniversity' @ aston.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 & 4 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132680&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132680&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 time4 seconds
R Server'AstonUniversity' @ aston.wessa.net






Properties of Density Trace
Bandwidth0.728376562744723
#Observations162

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 0.728376562744723 \tabularnewline
#Observations & 162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132680&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]0.728376562744723[/C][/ROW]
[ROW][C]#Observations[/C][C]162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132680&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
Bandwidth0.728376562744723
#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')