Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationWed, 28 Apr 2010 22:05:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Apr/29/t1272492420np85oentfpfr10x.htm/, Retrieved Wed, 24 Apr 2024 13:22:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75029, Retrieved Wed, 24 Apr 2024 13:22:33 +0000
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Original text written by user:Laurens-Jan - Opgave 6 eigen reeks, goudkoers
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact219
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean Plot] [Goudkoers Brussel...] [2010-04-28 22:05:17] [52430d682409e27a0d0e07da361cea73] [Current]
- RMP     [Univariate Data Series] [Opgave 6: Goudkoe...] [2010-06-04 13:00:05] [6161c2e3b695d45e6326d4bda3093101]
- RMP     [Univariate Data Series] [Opgave 6: Goudkoe...] [2010-06-04 13:02:02] [6161c2e3b695d45e6326d4bda3093101]
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Dataseries X:
23100
22650
22440
22910
22980
22535
22300
22780
22780
23300
23800
24510
24660
24730
25070
24690
24880
23920
23880
23990
24590
23610
23580
23360
23910
23940
23060
22800
23020
22890
22780
22530
22290
22820
22480
22110
22000
22230
22260
22590
22820
22420
22230
21600
21000
21360
21640
21450
21710
21620
21800
21490
21670
22130
22050
22050
22140
22390
22220
21790
21510
21670
21745
21850
22105
22050
21670
21680
21800
21920
21980
22270
21740
21950
22010
21890
21920
22110
22340
22210
22240
21960
22220
22060
22090
21960
21940
21790
21710
21690
21710
21670
21640
21500
21290
21250
21580
21670
21620
21510
21360
21420
21470
21370
21370
21340
21130
21130
20990
21240
21320
21430
21390
21530
21510
21630
21560
21610
21560
21310
21340
21410
21550
21380
21600
21530
21560
21670
21540
21540
21550
21590
21420
21420
21370
21380
21210
21505
21365
21385
21350
21360
21530
21380
21630
22145
22315
22340
22440
22135
21955
22060
22050
22035
22280
22315
22205
21970
22075
22115
22105
21885
21805
21910
21995
22245
22100
22130
22300
22915
23040
22880
23000
23160
23020
22770
22660
22740
22905
22720
22705
22735
22600
22510
22560
22575
22685
22980
23275
23845
23640
23640
23835
23625
24055
24005
24325
24445
24670
24615
24700
25065
25185
25220
25235
24975
25055
25520
25880
25960
25740
24965
25235
24895
24635
24835
24635
24695
25090
25220
24740
25005
24650
24460
24680
24840
24630
24490
24695




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75029&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75029&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75029&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24



Parameters (Session):
par1 = 5 ;
Parameters (R input):
par1 = 5 ;
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()