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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 22 Dec 2013 07:52:32 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/22/t138771682082b2nx45zw3q3e8.htm/, Retrieved Sun, 05 Dec 2021 16:21:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232512, Retrieved Sun, 05 Dec 2021 16:21:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-12-22 12:52:32] [818da16b08b21220aa14002c9e16e6e1] [Current]
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Dataseries X:
85.73
85.73
85.74
86.32
87.59
87.81
87.87
87.94
87.96
88.01
88.01
88.01
88.01
88.01
88.59
89.43
89.63
89.73
89.88
89.89
89.9
89.91
89.86
90.07
90.17
90.17
90.28
90.87
92.05
92.1
92.16
92.22
92.25
92.29
92.29
92.29
92.29
92.29
91.95
91.82
92.16
92.31
92.33
92.4
92.54
92.49
92.54
92.58
92.58
92.39
92.33
93.59
95.51
95.99
96.22
97.2
98.54
99.64
100.23
100.17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232512&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]2 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=232512&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232512&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[85.5,86[85.7530.050.050.1
[86,86.5[86.2510.0166670.0666670.033333
[86.5,87[86.75000.0666670
[87,87.5[87.25000.0666670
[87.5,88[87.7550.0833330.150.166667
[88,88.5[88.2550.0833330.2333330.166667
[88.5,89[88.7510.0166670.250.033333
[89,89.5[89.2510.0166670.2666670.033333
[89.5,90[89.7570.1166670.3833330.233333
[90,90.5[90.2540.0666670.450.133333
[90.5,91[90.7510.0166670.4666670.033333
[91,91.5[91.25000.4666670
[91.5,92[91.7520.0333330.50.066667
[92,92.5[92.25170.2833330.7833330.566667
[92.5,93[92.7540.0666670.850.133333
[93,93.5[93.25000.850
[93.5,94[93.7510.0166670.8666670.033333
[94,94.5[94.25000.8666670
[94.5,95[94.75000.8666670
[95,95.5[95.25000.8666670
[95.5,96[95.7520.0333330.90.066667
[96,96.5[96.2510.0166670.9166670.033333
[96.5,97[96.75000.9166670
[97,97.5[97.2510.0166670.9333330.033333
[97.5,98[97.75000.9333330
[98,98.5[98.25000.9333330
[98.5,99[98.7510.0166670.950.033333
[99,99.5[99.25000.950
[99.5,100[99.7510.0166670.9666670.033333
[100,100.5]100.2520.03333310.066667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[85.5,86[ & 85.75 & 3 & 0.05 & 0.05 & 0.1 \tabularnewline
[86,86.5[ & 86.25 & 1 & 0.016667 & 0.066667 & 0.033333 \tabularnewline
[86.5,87[ & 86.75 & 0 & 0 & 0.066667 & 0 \tabularnewline
[87,87.5[ & 87.25 & 0 & 0 & 0.066667 & 0 \tabularnewline
[87.5,88[ & 87.75 & 5 & 0.083333 & 0.15 & 0.166667 \tabularnewline
[88,88.5[ & 88.25 & 5 & 0.083333 & 0.233333 & 0.166667 \tabularnewline
[88.5,89[ & 88.75 & 1 & 0.016667 & 0.25 & 0.033333 \tabularnewline
[89,89.5[ & 89.25 & 1 & 0.016667 & 0.266667 & 0.033333 \tabularnewline
[89.5,90[ & 89.75 & 7 & 0.116667 & 0.383333 & 0.233333 \tabularnewline
[90,90.5[ & 90.25 & 4 & 0.066667 & 0.45 & 0.133333 \tabularnewline
[90.5,91[ & 90.75 & 1 & 0.016667 & 0.466667 & 0.033333 \tabularnewline
[91,91.5[ & 91.25 & 0 & 0 & 0.466667 & 0 \tabularnewline
[91.5,92[ & 91.75 & 2 & 0.033333 & 0.5 & 0.066667 \tabularnewline
[92,92.5[ & 92.25 & 17 & 0.283333 & 0.783333 & 0.566667 \tabularnewline
[92.5,93[ & 92.75 & 4 & 0.066667 & 0.85 & 0.133333 \tabularnewline
[93,93.5[ & 93.25 & 0 & 0 & 0.85 & 0 \tabularnewline
[93.5,94[ & 93.75 & 1 & 0.016667 & 0.866667 & 0.033333 \tabularnewline
[94,94.5[ & 94.25 & 0 & 0 & 0.866667 & 0 \tabularnewline
[94.5,95[ & 94.75 & 0 & 0 & 0.866667 & 0 \tabularnewline
[95,95.5[ & 95.25 & 0 & 0 & 0.866667 & 0 \tabularnewline
[95.5,96[ & 95.75 & 2 & 0.033333 & 0.9 & 0.066667 \tabularnewline
[96,96.5[ & 96.25 & 1 & 0.016667 & 0.916667 & 0.033333 \tabularnewline
[96.5,97[ & 96.75 & 0 & 0 & 0.916667 & 0 \tabularnewline
[97,97.5[ & 97.25 & 1 & 0.016667 & 0.933333 & 0.033333 \tabularnewline
[97.5,98[ & 97.75 & 0 & 0 & 0.933333 & 0 \tabularnewline
[98,98.5[ & 98.25 & 0 & 0 & 0.933333 & 0 \tabularnewline
[98.5,99[ & 98.75 & 1 & 0.016667 & 0.95 & 0.033333 \tabularnewline
[99,99.5[ & 99.25 & 0 & 0 & 0.95 & 0 \tabularnewline
[99.5,100[ & 99.75 & 1 & 0.016667 & 0.966667 & 0.033333 \tabularnewline
[100,100.5] & 100.25 & 2 & 0.033333 & 1 & 0.066667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232512&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][85.5,86[[/C][C]85.75[/C][C]3[/C][C]0.05[/C][C]0.05[/C][C]0.1[/C][/ROW]
[ROW][C][86,86.5[[/C][C]86.25[/C][C]1[/C][C]0.016667[/C][C]0.066667[/C][C]0.033333[/C][/ROW]
[ROW][C][86.5,87[[/C][C]86.75[/C][C]0[/C][C]0[/C][C]0.066667[/C][C]0[/C][/ROW]
[ROW][C][87,87.5[[/C][C]87.25[/C][C]0[/C][C]0[/C][C]0.066667[/C][C]0[/C][/ROW]
[ROW][C][87.5,88[[/C][C]87.75[/C][C]5[/C][C]0.083333[/C][C]0.15[/C][C]0.166667[/C][/ROW]
[ROW][C][88,88.5[[/C][C]88.25[/C][C]5[/C][C]0.083333[/C][C]0.233333[/C][C]0.166667[/C][/ROW]
[ROW][C][88.5,89[[/C][C]88.75[/C][C]1[/C][C]0.016667[/C][C]0.25[/C][C]0.033333[/C][/ROW]
[ROW][C][89,89.5[[/C][C]89.25[/C][C]1[/C][C]0.016667[/C][C]0.266667[/C][C]0.033333[/C][/ROW]
[ROW][C][89.5,90[[/C][C]89.75[/C][C]7[/C][C]0.116667[/C][C]0.383333[/C][C]0.233333[/C][/ROW]
[ROW][C][90,90.5[[/C][C]90.25[/C][C]4[/C][C]0.066667[/C][C]0.45[/C][C]0.133333[/C][/ROW]
[ROW][C][90.5,91[[/C][C]90.75[/C][C]1[/C][C]0.016667[/C][C]0.466667[/C][C]0.033333[/C][/ROW]
[ROW][C][91,91.5[[/C][C]91.25[/C][C]0[/C][C]0[/C][C]0.466667[/C][C]0[/C][/ROW]
[ROW][C][91.5,92[[/C][C]91.75[/C][C]2[/C][C]0.033333[/C][C]0.5[/C][C]0.066667[/C][/ROW]
[ROW][C][92,92.5[[/C][C]92.25[/C][C]17[/C][C]0.283333[/C][C]0.783333[/C][C]0.566667[/C][/ROW]
[ROW][C][92.5,93[[/C][C]92.75[/C][C]4[/C][C]0.066667[/C][C]0.85[/C][C]0.133333[/C][/ROW]
[ROW][C][93,93.5[[/C][C]93.25[/C][C]0[/C][C]0[/C][C]0.85[/C][C]0[/C][/ROW]
[ROW][C][93.5,94[[/C][C]93.75[/C][C]1[/C][C]0.016667[/C][C]0.866667[/C][C]0.033333[/C][/ROW]
[ROW][C][94,94.5[[/C][C]94.25[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][94.5,95[[/C][C]94.75[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][95,95.5[[/C][C]95.25[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][95.5,96[[/C][C]95.75[/C][C]2[/C][C]0.033333[/C][C]0.9[/C][C]0.066667[/C][/ROW]
[ROW][C][96,96.5[[/C][C]96.25[/C][C]1[/C][C]0.016667[/C][C]0.916667[/C][C]0.033333[/C][/ROW]
[ROW][C][96.5,97[[/C][C]96.75[/C][C]0[/C][C]0[/C][C]0.916667[/C][C]0[/C][/ROW]
[ROW][C][97,97.5[[/C][C]97.25[/C][C]1[/C][C]0.016667[/C][C]0.933333[/C][C]0.033333[/C][/ROW]
[ROW][C][97.5,98[[/C][C]97.75[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][98,98.5[[/C][C]98.25[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][98.5,99[[/C][C]98.75[/C][C]1[/C][C]0.016667[/C][C]0.95[/C][C]0.033333[/C][/ROW]
[ROW][C][99,99.5[[/C][C]99.25[/C][C]0[/C][C]0[/C][C]0.95[/C][C]0[/C][/ROW]
[ROW][C][99.5,100[[/C][C]99.75[/C][C]1[/C][C]0.016667[/C][C]0.966667[/C][C]0.033333[/C][/ROW]
[ROW][C][100,100.5][/C][C]100.25[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.066667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232512&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232512&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
[85.5,86[85.7530.050.050.1
[86,86.5[86.2510.0166670.0666670.033333
[86.5,87[86.75000.0666670
[87,87.5[87.25000.0666670
[87.5,88[87.7550.0833330.150.166667
[88,88.5[88.2550.0833330.2333330.166667
[88.5,89[88.7510.0166670.250.033333
[89,89.5[89.2510.0166670.2666670.033333
[89.5,90[89.7570.1166670.3833330.233333
[90,90.5[90.2540.0666670.450.133333
[90.5,91[90.7510.0166670.4666670.033333
[91,91.5[91.25000.4666670
[91.5,92[91.7520.0333330.50.066667
[92,92.5[92.25170.2833330.7833330.566667
[92.5,93[92.7540.0666670.850.133333
[93,93.5[93.25000.850
[93.5,94[93.7510.0166670.8666670.033333
[94,94.5[94.25000.8666670
[94.5,95[94.75000.8666670
[95,95.5[95.25000.8666670
[95.5,96[95.7520.0333330.90.066667
[96,96.5[96.2510.0166670.9166670.033333
[96.5,97[96.75000.9166670
[97,97.5[97.2510.0166670.9333330.033333
[97.5,98[97.75000.9333330
[98,98.5[98.25000.9333330
[98.5,99[98.7510.0166670.950.033333
[99,99.5[99.25000.950
[99.5,100[99.7510.0166670.9666670.033333
[100,100.5]100.2520.03333310.066667



Parameters (Session):
par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '3'
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')
}