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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 15 Dec 2014 11:46:08 +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/2014/Dec/15/t1418644023xvm3zo6tze0scmh.htm/, Retrieved Thu, 31 Oct 2024 23:56:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268155, Retrieved Thu, 31 Oct 2024 23:56:43 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- RMPD  [Notched Boxplots] [] [2014-12-14 19:03:30] [bcd8153d44f369b7624d3c1b4621c4c3]
- RMPD      [Histogram] [] [2014-12-15 11:46:08] [6e98989d1e11d52934121e5a163a7817] [Current]
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Dataseries X:
9
9
8
8
8
8
8
6
7
7
8
6
5
8
3
8
9
8
7
3
7
6
8
7
6
8
8
8
7
9
8
4
8
6
7
3
8
8
5
7
8
7
6
2
4
8
6
8
7
8
7
6
9
9
7
7
9
7
6
3
8
8
7
7
6
8
7
8
9
9
6
9
8
6
9
8
8
9
9
9
8
5
4
8
3
6
6
6
9
8
0
6
8
8
6
9
6
4
5
8
6
7
4
8
8
8
7
8
6
8
9
7
8
9
6
9
5
8
4
7
1
8
9
8
8
8
4
5
6
8
4
5
5
7
8
8
9
6
8
5
3
6
4
6
7
6
9
6
4
5
5
6
5
7
6
6
8
9
4
7
6
7
8
5
5
8
5
7
6
5
9
7
9
7
5
6
8
7
4
6
8
7
9
4
7
6
8
8
8
7
6
8
4
9
4
8
6
5
9
6
9
6
6
7
2
6
9
8
9
6
8
7
7
6
8
5
4
5
8
6
6
6
7
7
7
7
8
7
7
7
7
5
4
6
9
4
4
8
3
8
8
8
8
8
7
5
7
7
4
6
6
6
4
5
8
7
6
4
4
4
8
6
4
8
4
5
9
2
6
5
3
8
8
4
5
3
5
8
4
9
4
3
8
6
9
8
8
4
8
8
8
7
5
9
6
9
7
8
8
6
8
7
8
5
6
6
5
6
6
4
8
5
6
5
5
9
5
7
7
7
9
7
4
7
7
3
5
8
9
9
6
7
2
5
6
7
6
8
9
3
9
8
6
6
8
5
6
7
4
7
4
6
8
7
5
8
9
4
7
7
9
7
5
8
7
5
8
9
8
6
2
9
4
7
9
5
3
4
8
6
5
7
7
5
7
8
6
6
6
8
8
7
6
3
8
8
8
7
5
5




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=268155&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=268155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268155&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
[0,1[0.510.00250.00250.0025
[1,2[1.510.00250.0050.0025
[2,3[2.550.01250.01750.0125
[3,4[3.5140.0350.05250.035
[4,5[4.5370.09250.1450.0925
[5,6[5.5450.11250.25750.1125
[6,7[6.5740.1850.44250.185
[7,8[7.5720.180.62250.18
[8,9]8.51510.377510.3775

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 1 & 0.0025 & 0.0025 & 0.0025 \tabularnewline
[1,2[ & 1.5 & 1 & 0.0025 & 0.005 & 0.0025 \tabularnewline
[2,3[ & 2.5 & 5 & 0.0125 & 0.0175 & 0.0125 \tabularnewline
[3,4[ & 3.5 & 14 & 0.035 & 0.0525 & 0.035 \tabularnewline
[4,5[ & 4.5 & 37 & 0.0925 & 0.145 & 0.0925 \tabularnewline
[5,6[ & 5.5 & 45 & 0.1125 & 0.2575 & 0.1125 \tabularnewline
[6,7[ & 6.5 & 74 & 0.185 & 0.4425 & 0.185 \tabularnewline
[7,8[ & 7.5 & 72 & 0.18 & 0.6225 & 0.18 \tabularnewline
[8,9] & 8.5 & 151 & 0.3775 & 1 & 0.3775 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268155&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][0,1[[/C][C]0.5[/C][C]1[/C][C]0.0025[/C][C]0.0025[/C][C]0.0025[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]1[/C][C]0.0025[/C][C]0.005[/C][C]0.0025[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]5[/C][C]0.0125[/C][C]0.0175[/C][C]0.0125[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]14[/C][C]0.035[/C][C]0.0525[/C][C]0.035[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]37[/C][C]0.0925[/C][C]0.145[/C][C]0.0925[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]45[/C][C]0.1125[/C][C]0.2575[/C][C]0.1125[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]74[/C][C]0.185[/C][C]0.4425[/C][C]0.185[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]72[/C][C]0.18[/C][C]0.6225[/C][C]0.18[/C][/ROW]
[ROW][C][8,9][/C][C]8.5[/C][C]151[/C][C]0.3775[/C][C]1[/C][C]0.3775[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268155&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268155&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
[0,1[0.510.00250.00250.0025
[1,2[1.510.00250.0050.0025
[2,3[2.550.01250.01750.0125
[3,4[3.5140.0350.05250.035
[4,5[4.5370.09250.1450.0925
[5,6[5.5450.11250.25750.1125
[6,7[6.5740.1850.44250.185
[7,8[7.5720.180.62250.18
[8,9]8.51510.377510.3775



Parameters (Session):
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')
}