Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationTue, 01 Dec 2009 13:43:16 -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/2009/Dec/01/t1259700255yqegfhpz4smdcmj.htm/, Retrieved Thu, 28 Mar 2024 13:39:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62252, Retrieved Thu, 28 Mar 2024 13:39:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [ARIMA Backward Selection] [] [2009-11-27 14:53:14] [b98453cac15ba1066b407e146608df68]
-    D    [ARIMA Backward Selection] [BBWS9-Arimabackward1] [2009-12-01 20:26:03] [408e92805dcb18620260f240a7fb9d53]
- RM D      [Harrell-Davis Quantiles] [BBWS9-Harolddavis] [2009-12-01 20:39:11] [408e92805dcb18620260f240a7fb9d53]
- RM            [Mean Plot] [BBWS9-Meanplot] [2009-12-01 20:43:16] [b32ceebc68d054278e6bda97f3d57f91] [Current]
-   PD            [Mean Plot] [W9: Mean plot] [2009-12-02 10:46:07] [03d5b865e91ca35b5a5d21b8d6da5aba]
-    D              [Mean Plot] [WS9 Mean Plot Yt ...] [2009-12-04 16:04:10] [1b4c3bbe3f2ba180dd536c5a6a81a8e6]
-    D              [Mean Plot] [W9.9] [2009-12-04 17:33:15] [d31db4f83c6a129f6d3e47077769e868]
-   PD            [Mean Plot] [workshop 9] [2009-12-04 11:57:21] [28d531aeb5ea2ff1b676cbab66947a19]
-    D              [Mean Plot] [workshop 9] [2009-12-08 21:17:21] [28d531aeb5ea2ff1b676cbab66947a19]
- R PD            [Mean Plot] [shw-ws9] [2009-12-04 13:33:50] [2663058f2a5dda519058ac6b2228468f]
-   PD              [Mean Plot] [ws 9 mean plot] [2009-12-04 19:27:12] [134dc66689e3d457a82860db6471d419]
-    D                [Mean Plot] [Paper MP IGP] [2009-12-15 20:54:47] [134dc66689e3d457a82860db6471d419]
-    D                [Mean Plot] [Paper MP ICP] [2009-12-15 21:02:57] [134dc66689e3d457a82860db6471d419]
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Dataseries X:
-0.0349102355942728
0.00807721497901564
-0.121638609033658
0.271140172031791
0.115362521983019
0.208637719955046
0.00736333218421053
0.364107986611877
-0.401950824320542
0.208115628227064
-0.231184614403349
0.0886065933683892
-0.115016757667903
0.0105278025279736
0.238703049625312
0.0833760938194638
-0.244263809620781
0.0300469072378363
0.160888921911825
0.136128315686798
-0.178471109158176
-0.156191416101216
-0.123271475512903
0.287855689322172
0.114229814421261
-0.373596176543768
0.0534370488169519
-0.0094243656563928
-0.196264153183377
0.0544183083541583
0.458801613285757
-0.481978233278928
0.231921304283570
-0.120496663818209
-0.00860173725973467
-0.101427264965322
-0.096296702560096
0.0893328589991427
-0.338915896651276
-0.579111335739363
-0.240498095063384
-0.379196305811148
-0.198420345132734
0.206304690993777
-0.00161455539305067
-0.152996595141273
0.0272720847132301
0.322114095042851




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62252&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]1 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=62252&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62252&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



Parameters (Session):
par1 = FALSE ; par2 = 0.5 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np+1))
darr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
dx <- diff(x)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
darr[j,ari[j]] <- dx[i]
if (j == par1) j = 0
}
ari
arr
darr
arr.mean <- array(NA,dim=par1)
arr.median <- array(NA,dim=par1)
arr.midrange <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
arr.median[j] <- median(arr[j,],na.rm=TRUE)
arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
}
overall.mean <- mean(x)
overall.median <- median(x)
overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
bitmap(file='plot1.png')
plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.mean,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.median,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.midrange,0)
dev.off()
bitmap(file='plot4.png')
z <- data.frame(t(arr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
dev.off()
bitmap(file='plot4b.png')
z <- data.frame(t(darr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
dev.off()
bitmap(file='plot5.png')
z <- data.frame(arr)
names(z) <- c(1:np)
(boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
dev.off()
bitmap(file='plot6.png')
z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
names(z) <- list('mean','median','midrange')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
dev.off()