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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationThu, 14 May 2009 04:26:18 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t12422968087j2p8zowx246ifh.htm/, Retrieved Sun, 28 Apr 2024 22:45:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39970, Retrieved Sun, 28 Apr 2024 22:45:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kernel Density Estimation] [] [2009-05-14 10:26:18] [1596366c2ece8f787477cc7d1246d4c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[4,6[	5	3	0.003333	0.003333	0.001667
[6,8[	7	1	0.001111	0.004444	0.000556
[8,10[	9	4	0.004444	0.008889	0.002222
[10,12[	11	17	0.018889	0.027778	0.009444
[12,14[	13	26	0.028889	0.056667	0.014444
[14,16[	15	78	0.086667	0.143333	0.043333
[16,18[	17	3	0.003333	0.146667	0.001667
[18,20[	19	28	0.031111	0.177778	0.015556
[20,22[	21	197	0.218889	0.396667	0.109444
[22,24[	23	99	0.11	0.506667	0.055
[24,26[	25	300	0.333333	0.84	0.166667
[26,28[	27	2	0.002222	0.842222	0.001111
[28,30[	29	4	0.004444	0.846667	0.002222
[30,32[	31	80	0.088889	0.935556	0.044444
[32,34[	33	0	0	0.935556	0
[34,36[	35	20	0.022222	0.957778	0.011111
[36,38[	37	0	0	0.957778	0
[38,40[	39	1	0.001111	0.958889	0.000556
[40,42[	41	20	0.022222	0.981111	0.011111
[42,44[	43	0	0	0.981111	0
[44,46[	45	0	0	0.981111	0
[46,48[	47	0	0	0.981111	0
[48,50[	49	0	0	0.981111	0
[50,52[	51	16	0.017778	0.998889	0.008889
[52,54[	53	0	0	0.998889	0
[54,56[	55	0	0	0.998889	0
[56,58[	57	0	0	0.998889	0
[58,60[	59	0	0	0.998889	0
[60,62[	61	0	0	0.998889	0
[62,64[	63	0	0	0.998889	0
[64,66]	65	1	0.001111	1	0.000556

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39970&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]0 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=39970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39970&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


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')