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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 05 Dec 2011 16:58:00 -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/2011/Dec/05/t1323122306je3ynq5vem1f6ic.htm/, Retrieved Fri, 31 Oct 2025 06:53:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151294, Retrieved Fri, 31 Oct 2025 06:53:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact327

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
- RMPD  [Maximum-likelihood Fitting - Normal Distribution] [] [2010-11-16 19:18:46] [b98453cac15ba1066b407e146608df68]
- RMPD    [Histogram] [] [2011-11-14 19:07:18] [b4c8fd31b0af00c33711722ddf8d2c4c]
- R  D        [Histogram] [] [2011-12-05 21:58:00] [c092f3a3bdd85c7279ddab6c8c6c9261] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5
5
6
6
7
7
8
9
10
11
12
13
14
15
15
16
16
17
17
18
18
50
50
51
52
53
54
55
56
57
58
59
60
61
66
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
77
78
78
78
79
80
80
81

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151294&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]0 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=151294&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151294&T=0

As an alternative you can also use a QR Code:  
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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10[580.1355930.1355930.013559
[10,20[15130.2203390.3559320.022034
[20,30[25000.3559320
[30,40[35000.3559320
[40,50[45000.3559320
[50,60[55110.1864410.5423730.018644
[60,70[6530.0508470.593220.005085
[70,80[75210.3559320.9491530.035593
[80,90]8530.05084710.005085

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10[ & 5 & 8 & 0.135593 & 0.135593 & 0.013559 \tabularnewline
[10,20[ & 15 & 13 & 0.220339 & 0.355932 & 0.022034 \tabularnewline
[20,30[ & 25 & 0 & 0 & 0.355932 & 0 \tabularnewline
[30,40[ & 35 & 0 & 0 & 0.355932 & 0 \tabularnewline
[40,50[ & 45 & 0 & 0 & 0.355932 & 0 \tabularnewline
[50,60[ & 55 & 11 & 0.186441 & 0.542373 & 0.018644 \tabularnewline
[60,70[ & 65 & 3 & 0.050847 & 0.59322 & 0.005085 \tabularnewline
[70,80[ & 75 & 21 & 0.355932 & 0.949153 & 0.035593 \tabularnewline
[80,90] & 85 & 3 & 0.050847 & 1 & 0.005085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151294&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][0,10[[/C][C]5[/C][C]8[/C][C]0.135593[/C][C]0.135593[/C][C]0.013559[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]13[/C][C]0.220339[/C][C]0.355932[/C][C]0.022034[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]0[/C][C]0[/C][C]0.355932[/C][C]0[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]0[/C][C]0[/C][C]0.355932[/C][C]0[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]0[/C][C]0[/C][C]0.355932[/C][C]0[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]11[/C][C]0.186441[/C][C]0.542373[/C][C]0.018644[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]3[/C][C]0.050847[/C][C]0.59322[/C][C]0.005085[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]21[/C][C]0.355932[/C][C]0.949153[/C][C]0.035593[/C][/ROW]
[ROW][C][80,90][/C][C]85[/C][C]3[/C][C]0.050847[/C][C]1[/C][C]0.005085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151294&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151294&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10[580.1355930.1355930.013559
[10,20[15130.2203390.3559320.022034
[20,30[25000.3559320
[30,40[35000.3559320
[40,50[45000.3559320
[50,60[55110.1864410.5423730.018644
[60,70[6530.0508470.593220.005085
[70,80[75210.3559320.9491530.035593
[80,90]8530.05084710.005085


Figures (Output of Computation)

Input Parameters & R Code

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')
}