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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 computationWed, 12 Oct 2011 07:21:35 -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/2011/Oct/12/t13184185221t57gwk7oekun39.htm/, Retrieved Fri, 10 May 2024 04:12:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128310, Retrieved Fri, 10 May 2024 04:12:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Workshop 2 - Time...] [2011-10-12 11:21:35] [dbfb5bf628f59f553390e0387149454c] [Current]
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Dataseries X:
7.07
6.98
6.81
6.31
6.15
5.19
5.08
4.81
4.68
4.57
4.55
4.51
4.51
4.43
4.32
4.26
4.16
4.13
4.07
3.99
3.85
3.82
3.79
3.72
3.67
3.63
3.62
3.61
3.6
3.52
3.5
3.4
3.35
3.34
3.32
3.24
3.23
3.21
3.12
3.06
3.05
3.04
3.02
2.98
2.89
2.86
2.82
2.81
2.75
2.73
2.65
2.63
2.61
2.6
2.57
2.56
2.52
2.44
2.39
2.37
2.3
2.22
2.19
2.04
2.04
2.02
2.02
2.01
1.99
1.98
1.94
1.89
1.88
1.88
1.88
1.87
1.86
1.85
1.82
1.8
1.77
1.7
1.62
1.61
1.6
1.58
1.58
1.56
1.54
1.53
1.53
1.52
1.46
1.36
1.31
1.3
1.25
1.21
1.1
1.09
1.04
0.98
0.95
0.93
0.91
0.87
0.86
0.84
0.81
0.81
0.81
0.7
0.53
0.46
0.43
0.42
0.41
0.38
0.33
0.32
0.28
0.28
0.13
0.13
0.12
0.11
0.06
0.02
0.01
0
0
0
0




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=128310&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=128310&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128310&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
[0,1[0.5320.2406020.2406020.240602
[1,2[1.5330.248120.4887220.24812
[2,3[2.5250.187970.6766920.18797
[3,4[3.5240.1804510.8571430.180451
[4,5[4.5120.0902260.9473680.090226
[5,6[5.520.0150380.9624060.015038
[6,7[6.540.0300750.9924810.030075
[7,8]7.510.00751910.007519

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 32 & 0.240602 & 0.240602 & 0.240602 \tabularnewline
[1,2[ & 1.5 & 33 & 0.24812 & 0.488722 & 0.24812 \tabularnewline
[2,3[ & 2.5 & 25 & 0.18797 & 0.676692 & 0.18797 \tabularnewline
[3,4[ & 3.5 & 24 & 0.180451 & 0.857143 & 0.180451 \tabularnewline
[4,5[ & 4.5 & 12 & 0.090226 & 0.947368 & 0.090226 \tabularnewline
[5,6[ & 5.5 & 2 & 0.015038 & 0.962406 & 0.015038 \tabularnewline
[6,7[ & 6.5 & 4 & 0.030075 & 0.992481 & 0.030075 \tabularnewline
[7,8] & 7.5 & 1 & 0.007519 & 1 & 0.007519 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128310&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]32[/C][C]0.240602[/C][C]0.240602[/C][C]0.240602[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]33[/C][C]0.24812[/C][C]0.488722[/C][C]0.24812[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]25[/C][C]0.18797[/C][C]0.676692[/C][C]0.18797[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]24[/C][C]0.180451[/C][C]0.857143[/C][C]0.180451[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]12[/C][C]0.090226[/C][C]0.947368[/C][C]0.090226[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]2[/C][C]0.015038[/C][C]0.962406[/C][C]0.015038[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]4[/C][C]0.030075[/C][C]0.992481[/C][C]0.030075[/C][/ROW]
[ROW][C][7,8][/C][C]7.5[/C][C]1[/C][C]0.007519[/C][C]1[/C][C]0.007519[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128310&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128310&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[0.5320.2406020.2406020.240602
[1,2[1.5330.248120.4887220.24812
[2,3[2.5250.187970.6766920.18797
[3,4[3.5240.1804510.8571430.180451
[4,5[4.5120.0902260.9473680.090226
[5,6[5.520.0150380.9624060.015038
[6,7[6.540.0300750.9924810.030075
[7,8]7.510.00751910.007519



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')
}