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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 03 Oct 2012 09:03:51 -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/Oct/03/t1349269826pp4vls61lf2twln.htm/, Retrieved Sat, 07 Feb 2026 01:51:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=171607, Retrieved Sat, 07 Feb 2026 01:51:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact366

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequentietabel é...] [2012-10-03 13:03:51] [72b460291cf9216c25149e3abf0bc35d] [Current]
- R  D    [Histogram] [histogram prijs é...] [2012-10-05 13:00:55] [863c7e293af37539f527e2425193e5f5]
-   P       [Histogram] [histogram prijs é...] [2012-10-05 13:06:27] [863c7e293af37539f527e2425193e5f5]
-             [Histogram] [histogram prijs é...] [2012-10-05 13:11:44] [863c7e293af37539f527e2425193e5f5]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,98
0,99
0,99
0,99
1
1
1
1
1
1,01
1,02
1,02
1,01
1,03
1,03
1,03
1,03
1,03
1,03
1,03
1,04
1,06
1,07
1,08
1,08
1,09
1,09
1,09
1,1
1,1
1,1
1,1
1,1
1,11
1,12
1,13
1,13
1,13
1,13
1,13
1,14
1,14
1,14
1,14
1,14
1,14
1,15
1,15
1,15
1,15
1,15
1,15
1,16
1,15
1,16
1,16
1,16
1,17
1,17
1,17
1,18
1,19
1,2
1,21
1,21
1,21
1,21
1,22
1,22
1,22
1,23
1,22

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=171607&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=171607&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=171607&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.95,1[0.97540.0555560.0555561.111111
[1,1.05[1.025170.2361110.2916674.722222
[1.05,1.1[1.07570.0972220.3888891.944444
[1.1,1.15[1.125180.250.6388895
[1.15,1.2[1.175160.2222220.8611114.444444
[1.2,1.25]1.225100.13888912.777778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.95,1[ & 0.975 & 4 & 0.055556 & 0.055556 & 1.111111 \tabularnewline
[1,1.05[ & 1.025 & 17 & 0.236111 & 0.291667 & 4.722222 \tabularnewline
[1.05,1.1[ & 1.075 & 7 & 0.097222 & 0.388889 & 1.944444 \tabularnewline
[1.1,1.15[ & 1.125 & 18 & 0.25 & 0.638889 & 5 \tabularnewline
[1.15,1.2[ & 1.175 & 16 & 0.222222 & 0.861111 & 4.444444 \tabularnewline
[1.2,1.25] & 1.225 & 10 & 0.138889 & 1 & 2.777778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=171607&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][0.95,1[[/C][C]0.975[/C][C]4[/C][C]0.055556[/C][C]0.055556[/C][C]1.111111[/C][/ROW]
[ROW][C][1,1.05[[/C][C]1.025[/C][C]17[/C][C]0.236111[/C][C]0.291667[/C][C]4.722222[/C][/ROW]
[ROW][C][1.05,1.1[[/C][C]1.075[/C][C]7[/C][C]0.097222[/C][C]0.388889[/C][C]1.944444[/C][/ROW]
[ROW][C][1.1,1.15[[/C][C]1.125[/C][C]18[/C][C]0.25[/C][C]0.638889[/C][C]5[/C][/ROW]
[ROW][C][1.15,1.2[[/C][C]1.175[/C][C]16[/C][C]0.222222[/C][C]0.861111[/C][C]4.444444[/C][/ROW]
[ROW][C][1.2,1.25][/C][C]1.225[/C][C]10[/C][C]0.138889[/C][C]1[/C][C]2.777778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=171607&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=171607&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
[0.95,1[0.97540.0555560.0555561.111111
[1,1.05[1.025170.2361110.2916674.722222
[1.05,1.1[1.07570.0972220.3888891.944444
[1.1,1.15[1.125180.250.6388895
[1.15,1.2[1.175160.2222220.8611114.444444
[1.2,1.25]1.225100.13888912.777778


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')
}