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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 05 Feb 2015 10:21:32 +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/2015/Feb/05/t14231317868qfha9b30j2mib0.htm/, Retrieved Sat, 18 May 2024 00:36:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276715, Retrieved Sat, 18 May 2024 00:36:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Opdracht 1 ] [2015-01-26 12:26:06] [c9c1a17a2b7b396db964ce9bcfa0570b]
- RMP     [Histogram] [] [2015-02-05 10:21:32] [464dfecbd4863ecbf0b1962220ac611d] [Current]
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Dataseries X:
8.41
8.39
8.43
8.44
8.49
8.47
8.53
8.52
8.51
8.53
8.54
8.53
8.47
8.63
8.67
8.73
8.57
8.55
8.63
8.65
8.44
8.62
8.37
8.59
8.84
8.72
8.8
8.69
8.68
8.57
8.85
8.85
8.85
8.93
8.75
8.78
8.77
9.03
9.01
9.07
8.99
9.02
8.99
8.98
8.94
8.94
8.75
8.86
8.87
8.84
8.84
9.91
10.18
10.34
10.36
10.26
10.16
10.31
10.46
10.54
10.47
10.48
10.46
11.3
11.58
11.69
11.63
11.51
11.37
11.42
11.7
11.75
11.43
11.36
11.3
11.85
11.99
12.07
12.21
12.13
12.3
12.27
12.32
12.38
12.4
12.33
12.25
12.41
12.38
12.58
12.45
12.43
12.38
12.34
11.98
12.24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276715&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276715&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276715&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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[8,9[8.5470.4895830.4895830.489583
[9,10[9.550.0520830.5416670.052083
[10,11[10.5110.1145830.656250.114583
[11,12[11.5150.156250.81250.15625
[12,13]12.5180.187510.1875

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8,9[ & 8.5 & 47 & 0.489583 & 0.489583 & 0.489583 \tabularnewline
[9,10[ & 9.5 & 5 & 0.052083 & 0.541667 & 0.052083 \tabularnewline
[10,11[ & 10.5 & 11 & 0.114583 & 0.65625 & 0.114583 \tabularnewline
[11,12[ & 11.5 & 15 & 0.15625 & 0.8125 & 0.15625 \tabularnewline
[12,13] & 12.5 & 18 & 0.1875 & 1 & 0.1875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276715&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]47[/C][C]0.489583[/C][C]0.489583[/C][C]0.489583[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]5[/C][C]0.052083[/C][C]0.541667[/C][C]0.052083[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]11[/C][C]0.114583[/C][C]0.65625[/C][C]0.114583[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]15[/C][C]0.15625[/C][C]0.8125[/C][C]0.15625[/C][/ROW]
[ROW][C][12,13][/C][C]12.5[/C][C]18[/C][C]0.1875[/C][C]1[/C][C]0.1875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276715&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276715&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[8,9[8.5470.4895830.4895830.489583
[9,10[9.550.0520830.5416670.052083
[10,11[10.5110.1145830.656250.114583
[11,12[11.5150.156250.81250.15625
[12,13]12.5180.187510.1875



Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '5'
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}