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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_gas.wasp
Title produced by softwareSmoothing Time Series Example
Date of computationSun, 17 Sep 2017 05:09:21 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Sep/17/t1505617986smbwdy62wxnya4w.htm/, Retrieved Wed, 15 May 2024 13:33:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307736, Retrieved Wed, 15 May 2024 13:33:49 +0000
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Original text written by user:Try
IsPrivate?No (this computation is public)
User-defined keywordsShear Panel Damper, Displacement
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Central tendency ...] [2007-10-18 10:07:00] [1520e6942bf3237bcdbd9ce1ad1c7791]
- RMP     [Smoothing Time Series Example] [Displacement Load...] [2017-09-17 03:09:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307736&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=307736&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307736&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
par1 = .20 ; par2 = TRUE ;
Parameters (R input):
par1 = .20 ; par2 = TRUE ;
R code (references can be found in the software module):
x <- c(1999.38
,1999.39
,1999.41
,1999.42
,1999.44
,1999.45
,1999.46
,1999.47
,1999.49
,1999.5
,1999.51
,1999.52
,1999.53
,1999.54
,1999.54
,1999.58
,1999.6
,1999.64
,1999.66
,1999.59
,1999.67
,1999.68
,1999.69
,1999.71
,1999.72
,1999.73
,1999.74
,1999.76
,1999.77
,1999.78
,1999.79
,1999.81
,1999.82
,1999.84
,1999.84
,1999.86
,1999.88
,1999.89
,1999.91
,1999.92
,1999.94
,1999.95
,1999.96
,1999.98
,2000
,2000.02
,2000.03
,2000.04
,2000.05
,2000.16
,2000.17
,2000.19
,2000.21
,2000.21
,2000.24
,2000.25
,2000.26
,2000.27
,2000.28
,2000.29
,2000.31
,2000.34
,2000.36
,2000.36
,2000.39
,2000.4
,2000.42
,2000.43
,2000.45
,2000.46
,2000.47
,2000.51
,2000.54
,2000.56
,2000.57
,2000.59
,2000.62
,2000.63
,2000.67
,2000.67
,2000.68
,2000.7
,2000.71
,2000.73
,2000.74
,2000.76
,2000.77
,2000.78
,2000.8
,2000.81
,2000.83
,2000.84
,2000.86
,2000.87
,2000.88
,2000.88
,2000.9
,2000.91
,2000.92
,2000.93
,2000.94
,2000.96
,2000.97
,2000.98
,2001.01
,2001.03
,2001.04
,2001.06
,2001.07
,2001.08
,2001.09
,2001.12
,2001.13
,2001.16
,2001.19
,2001.2
,2001.21
,2001.23
,2001.24
,2001.26
,2001.26
,2001.27
,2001.3
,2001.31
,2001.33
,2001.34
,2001.36
,2001.36
,2001.38
,2001.4
,2001.41
,2001.43
,2001.45
,2001.46
,2001.48
,2001.5
,2001.51
,2001.53
,2001.55
,2001.57
,2001.58
,2001.59
,2001.61
,2001.62
,2001.67
,2001.69
,2001.72
,2001.73
,2001.74
,2001.76
,2001.77
,2001.78
,2001.8
,2001.81
,2001.82
,2001.84
,2001.89
,2001.9
,2001.91
,2001.92
,2001.94
,2001.96
,2001.98
,2002.01
,2002.02
,2002.04
,2002.06
,2002.07
,2002.09
,2002.1
,2002.12
,2002.14
,2002.15
,2002.16
,2002.17
,2002.19
,2002.2
,2002.21
,2002.24
,2002.24
,2002.27
,2002.28
,2002.29
,2002.31
,2002.35
,2002.37
,2002.4
,2002.34
,2002.44
,2002.5
,2002.56
,2002.6
,2002.64
,2002.65
,2002.67
,2002.69
,2002.7
,2002.72
,2002.72
,2002.74
,2002.76
,2002.77
,2002.78
,2002.8
,2002.82
,2002.84
,2002.84
,2002.87
,2002.89
,2002.9
,2002.91
,2002.92
,2002.93
,2002.99
,2003.01
,2003.04
,2003.05
,2003.07
,2003.08
,2003.1
,2003.13
,2003.15
,2003.18
,2003.19
,2003.2
,2003.22
,2003.23
,2003.24
,2003.25
,2003.26
,2003.27
,2003.29
,2003.3
,2003.32
,2003.33
,2003.34
,2003.36
,2003.36
,2003.37
,2003.39
,2003.41
,2003.42
,2003.43
,2003.46
,2003.47
,2003.48
,2003.49
,2003.51
,2003.54
,2003.55
,2003.56
,2003.58
,2003.61
,2003.66
,2003.68
,2003.68
,2003.7
,2003.72
,2003.73
,2003.74
,2003.76
,2003.81
,2003.82
,2003.84
,2003.85
,2003.86
,2003.88
,2003.88
,2003.89
,2003.91
,2003.92
,2003.94
,2003.95
,2003.96
,2003.99
,2004.02
,2004.05
,2004.03
,2004.07
,2004.08
,2004.09
,2004.11
,2004.15
,2004.17
,2004.19
,2004.21
,2004.24
,2004.26
,2004.27
,2004.28
,2004.3
,2004.31
,2004.33
,2004.34
,2004.36
,2004.38
,2004.39
,2004.41
,2004.43
,2004.44
,2004.46
,2004.48)
y <- c(10.69
,9.09
,11.29
,10.59
,9.97
,9.65
,9.18
,10.49
,9.27
,10.4
,8.9
,9.17
,10.4
,9.53
,8.19
,10.04
,9.37
,10.46
,10.09
,7.38
,10.56
,9.83
,9.57
,10.46
,12.2
,7.64
,10.26
,9.43
,9.94
,11.19
,10.17
,9.61
,10.28
,12.06
,9.73
,10.1
,10.63
,10.64
,11.24
,9.4
,11.78
,9.75
,12.3
,11.35
,10.97
,11.77
,11.09
,11.43
,10.92
,11.91
,11.17
,10.04
,10.32
,9.6
,9.56
,10.27
,8.69
,10.91
,9.64
,9.09
,10.39
,10.15
,10.2
,9.28
,10.66
,9.37
,10.14
,10.43
,10.24
,9.28
,10.38
,9.85
,10.81
,12.2
,9.47
,9.49
,8.9
,9.76
,9.62
,9.6
,9.99
,10.48
,9.56
,9.19
,9.94
,9.57
,10.4
,9.26
,10.69
,10.35
,10
,9.34
,10.45
,10.76
,9.74
,7.34
,11.21
,10.67
,9.22
,10.34
,10.66
,9.96
,12.11
,10.71
,10.09
,10.25
,9.96
,11.73
,9.71
,10.1
,10.29
,11.05
,10.35
,12
,10.56
,10.43
,8.19
,11.38
,9.95
,10.51
,8.61
,10.29
,10.11
,10.12
,9.84
,10.05
,10.13
,9.97
,10.13
,9.87
,9.92
,9.44
,9.71
,9.77
,9.82
,10.31
,8.82
,9.62
,9.64
,10.69
,9.08
,9.59
,9.57
,8.17
,9.99
,9.09
,9.66
,9.21
,9.44
,10.04
,9.3
,10.24
,10.15
,10.2
,11.36
,9.5
,9.96
,10.15
,11.02
,10.05
,10.65
,10.31
,11.42
,10.08
,10.44
,10.39
,10.74
,10.99
,11.02
,10.55
,10.72
,10.54
,10.67
,10.35
,9.68
,10.78
,9.8
,11.09
,10.45
,10.66
,10.65
,9.9
,9.55
,9.91
,10.26
,10.14
,9.82
,10.27
,10.12
,9.52
,9.05
,10.26
,9.4
,8.99
,8.98
,9.49
,10.42
,9.31
,9.13
,9.71
,10.3
,9.75
,9.05
,10.91
,10.09
,11.15
,10.69
,10.36
,10.56
,10.52
,10.32
,9.78
,12.11
,10.75
,11.12
,10.32
,12.33
,10.03
,11.4
,12.47
,13.57
,10.2
,10.2
,10.84
,9.61
,10.35
,10
,9.76
,10.3
,9.86
,10.52
,10.49
,10.14
,10.11
,6.86
,9.58
,10.17
,8.9
,10.54
,9.49
,10.23
,9.04
,10.47
,11.88
,10.55
,8.86
,11.71
,9.88
,9.07
,9.63
,10.5
,10.16
,7.65
,8.56
,10.51
,8.9
,9.7
,9.83
,9.73
,9.03
,10.18
,9.45
,11.27
,10.35
,10.76
,11.2
,11.08
,9.17
,12.67
,11.09
,10.32
,10.71
,10.88
,8.44
,10.15
,10.06
,9.76
,12.45
,10.02
,8.89
,10.66
,10.71
,10.52
,10.58
,10.15
,11.1
,9.96
,11.31
,9.51
,6.98
,10.55
,7.22
,10.16
,8.03
,9.77
,10.36
,9.63
,10.6
,9.6
,8.75
,10.32
,10.23)
merc.df <- as.data.frame(cbind(x,y))
colnames(merc.df) <- c('date1','lp100km')
span <- as.numeric(par1)
if (par2 == 'TRUE') smooth <- TRUE else smooth <- FALSE
x=merc.df$date1
y=merc.df$lp100km
yl=loess(y~x,span=span)
bitmap(file='noloessplot.png')
plot(yl,col='darkgreen',type='p',main='5 years gas consumption, 1999-2004 (raw data)',xlab='decimal date',ylab='litres per 100 km')
dev.off()
if (smooth==TRUE)
{
bitmap(file='loessplot.png')
plot(yl,col='darkgreen',type='p',main='5 years gas consumption, 1999-2004 (incl. LOESS)',xlab='decimal date',ylab='litres per 100 km')
mn=mean(yl$y)
lines(yl$x,yl$fitted,col='red',lwd=3)
lines(yl$x,mn*rep(1,length(yl$x)),col='black',lwd=3)
dev.off()
bitmap(file='resplot.png')
plot(yl$x,yl$residuals,col='darkgreen',ylab='residuals from
smooth',xlab='decimal date',main='Residuals of (Data - Smooth)')
lines(yl$x,0*rep(1,length(yl$x)),col='black',lwd=3)
rl=loess(yl$residuals~yl$x,span=span)
lines(rl$x,rl$fitted,col='red',lwd=3)
dev.off()
}