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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 24 Sep 2012 02:53:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Sep/24/t1348469839z01pqd1idmjvxyd.htm/, Retrieved Sun, 28 Apr 2024 12:24:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169812, Retrieved Sun, 28 Apr 2024 12:24:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Stof voor jurk in...] [2012-09-24 06:53:06] [2f2dfc06a630b81f17a3d9dd284f5d45] [Current]
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Dataseries X:
20,89
21,04
21,07
21,12
21,25
21,24
21,24
21,22
21,29
21,25
21,15
21,16
21,16
21,52
21,59
21,6
21,68
21,67
21,67
21,65
21,74
21,72
21,84
21,94
21,94
21,95
21,96
22,1
22,13
22,18
22,18
22,27
22,3
22,04
22,05
22,06
22,06
22,06
21,97
22,03
22,08
22,13
22,13
22,4
22,4
22,12
22,22
22,14
22,14
22,19
22,29
22,24
22,26
22,29
22,29
22,29
22,29
22,35
22,39
22,43
22,43
22,11
22,12
22,05
22,05
22,08
22,08
22,09
22,09
22,24
22,25
22,24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169812&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169812&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169812&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' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[20.8,21[20.910.0138890.0138890.069444
[21,21.2[21.160.0833330.0972220.416667
[21.2,21.4[21.360.0833330.1805560.416667
[21.4,21.6[21.520.0277780.2083330.138889
[21.6,21.8[21.770.0972220.3055560.486111
[21.8,22[21.960.0833330.3888890.416667
[22,22.2[22.1250.3472220.7361111.736111
[22.2,22.4[22.3150.2083330.9444441.041667
[22.4,22.6]22.540.05555610.277778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20.8,21[ & 20.9 & 1 & 0.013889 & 0.013889 & 0.069444 \tabularnewline
[21,21.2[ & 21.1 & 6 & 0.083333 & 0.097222 & 0.416667 \tabularnewline
[21.2,21.4[ & 21.3 & 6 & 0.083333 & 0.180556 & 0.416667 \tabularnewline
[21.4,21.6[ & 21.5 & 2 & 0.027778 & 0.208333 & 0.138889 \tabularnewline
[21.6,21.8[ & 21.7 & 7 & 0.097222 & 0.305556 & 0.486111 \tabularnewline
[21.8,22[ & 21.9 & 6 & 0.083333 & 0.388889 & 0.416667 \tabularnewline
[22,22.2[ & 22.1 & 25 & 0.347222 & 0.736111 & 1.736111 \tabularnewline
[22.2,22.4[ & 22.3 & 15 & 0.208333 & 0.944444 & 1.041667 \tabularnewline
[22.4,22.6] & 22.5 & 4 & 0.055556 & 1 & 0.277778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169812&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][20.8,21[[/C][C]20.9[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.069444[/C][/ROW]
[ROW][C][21,21.2[[/C][C]21.1[/C][C]6[/C][C]0.083333[/C][C]0.097222[/C][C]0.416667[/C][/ROW]
[ROW][C][21.2,21.4[[/C][C]21.3[/C][C]6[/C][C]0.083333[/C][C]0.180556[/C][C]0.416667[/C][/ROW]
[ROW][C][21.4,21.6[[/C][C]21.5[/C][C]2[/C][C]0.027778[/C][C]0.208333[/C][C]0.138889[/C][/ROW]
[ROW][C][21.6,21.8[[/C][C]21.7[/C][C]7[/C][C]0.097222[/C][C]0.305556[/C][C]0.486111[/C][/ROW]
[ROW][C][21.8,22[[/C][C]21.9[/C][C]6[/C][C]0.083333[/C][C]0.388889[/C][C]0.416667[/C][/ROW]
[ROW][C][22,22.2[[/C][C]22.1[/C][C]25[/C][C]0.347222[/C][C]0.736111[/C][C]1.736111[/C][/ROW]
[ROW][C][22.2,22.4[[/C][C]22.3[/C][C]15[/C][C]0.208333[/C][C]0.944444[/C][C]1.041667[/C][/ROW]
[ROW][C][22.4,22.6][/C][C]22.5[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.277778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169812&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169812&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
[20.8,21[20.910.0138890.0138890.069444
[21,21.2[21.160.0833330.0972220.416667
[21.2,21.4[21.360.0833330.1805560.416667
[21.4,21.6[21.520.0277780.2083330.138889
[21.6,21.8[21.770.0972220.3055560.486111
[21.8,22[21.960.0833330.3888890.416667
[22,22.2[22.1250.3472220.7361111.736111
[22.2,22.4[22.3150.2083330.9444441.041667
[22.4,22.6]22.540.05555610.277778



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
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')
}