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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 computationTue, 04 Oct 2011 13:19:31 -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/04/t1317749048d5du3ft2elxqy2j.htm/, Retrieved Thu, 16 May 2024 06:28:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=126290, Retrieved Thu, 16 May 2024 06:28:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords KDG2011W2MO
Estimated Impact56

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-10-04 17:19:31] [25bd055699d3ffa05f522cc79bb2ff75] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
10
10
13
14
12
11
8
8
10
10
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12
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1
9
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57
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16
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8
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28
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9
14
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99
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6
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7
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18
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8
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8
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9
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7
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8
8
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14
10
5
9
8
13
10
10
14
10
99
10
12
17
14
8
14
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10
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8
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8
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8
10
10
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12
12
12
14
10
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14
12
13
8
12
14
10
10
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16
12
10
10
99
8
11
12
12
11
10
20
9
14
12
10
12
10
12
12
8
12
12
10
99
12
2
10
10
10
12
12
12
12
88
9
12
14
8
12
10
10
10
7
8
10
1
10
10
9
15
10
12
12
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11
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14
8
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10
14
8
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15
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7
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9
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17
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1
8
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8
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9
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12
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10
10
10
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7
15
8
10
6
8
9
8
7
10
12
14
11
8
10
8
8
14
12
15
12
12
9
12
12
9
11
15
11
12
7
15
9
10
15
15
8
11
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10
10
12
7
12
10
11
12
10
10
8
9
8
10
10
14
10
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7
12
10
12
9
9
13
14
10
12
12
12
12
12
10
10
8
12
8
14
10
70
12
10
8
8
11
10
8
7
8
50
9
12
12
7
10
8
10
10
10
8
12
7
13
13
8
8
11
6
12
9
12
13
13
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12
10
8
12
10
10
15
12
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8
8
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10
9
10
10
10
12
12
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12
8
10
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15
10
8
15
10
9
12
99
10
10
11
11
12
12
14
12
14
9
10
12
13
10
11
10
12
12
12
13
14
9
10
10
12
12
10
99
8
99
12
99
12
10
12
10
12
12
12
10
12
12
10
10
12
99
12
12
9
99
12
12
9
12
12
12
15
12
12
12
8
8
12
8
12
12
10
10
12
99
8
8
99
10
10
5
9
9
99
9
10
12

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126290&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126290&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126290&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.510.0101010.0101010.00202
[5,10[7.5230.2323230.2424240.046465
[10,15[12.5690.696970.9393940.139394
[15,20[17.530.0303030.9696970.006061
[20,25[22.5000.9696970
[25,30[27.510.0101010.9797980.00202
[30,35[32.5000.9797980
[35,40[37.5000.9797980
[40,45[42.5000.9797980
[45,50[47.5000.9797980
[50,55[52.5000.9797980
[55,60[57.510.0101010.9898990.00202
[60,65[62.5000.9898990
[65,70[67.5000.9898990
[70,75[72.5000.9898990
[75,80[77.5000.9898990
[80,85[82.5000.9898990
[85,90[87.5000.9898990
[90,95[92.5000.9898990
[95,100]97.510.01010110.00202

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 1 & 0.010101 & 0.010101 & 0.00202 \tabularnewline
[5,10[ & 7.5 & 23 & 0.232323 & 0.242424 & 0.046465 \tabularnewline
[10,15[ & 12.5 & 69 & 0.69697 & 0.939394 & 0.139394 \tabularnewline
[15,20[ & 17.5 & 3 & 0.030303 & 0.969697 & 0.006061 \tabularnewline
[20,25[ & 22.5 & 0 & 0 & 0.969697 & 0 \tabularnewline
[25,30[ & 27.5 & 1 & 0.010101 & 0.979798 & 0.00202 \tabularnewline
[30,35[ & 32.5 & 0 & 0 & 0.979798 & 0 \tabularnewline
[35,40[ & 37.5 & 0 & 0 & 0.979798 & 0 \tabularnewline
[40,45[ & 42.5 & 0 & 0 & 0.979798 & 0 \tabularnewline
[45,50[ & 47.5 & 0 & 0 & 0.979798 & 0 \tabularnewline
[50,55[ & 52.5 & 0 & 0 & 0.979798 & 0 \tabularnewline
[55,60[ & 57.5 & 1 & 0.010101 & 0.989899 & 0.00202 \tabularnewline
[60,65[ & 62.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[65,70[ & 67.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[70,75[ & 72.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[75,80[ & 77.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[80,85[ & 82.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[85,90[ & 87.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[90,95[ & 92.5 & 0 & 0 & 0.989899 & 0 \tabularnewline
[95,100] & 97.5 & 1 & 0.010101 & 1 & 0.00202 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126290&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][0,5[[/C][C]2.5[/C][C]1[/C][C]0.010101[/C][C]0.010101[/C][C]0.00202[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]23[/C][C]0.232323[/C][C]0.242424[/C][C]0.046465[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]69[/C][C]0.69697[/C][C]0.939394[/C][C]0.139394[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]3[/C][C]0.030303[/C][C]0.969697[/C][C]0.006061[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]0[/C][C]0[/C][C]0.969697[/C][C]0[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]1[/C][C]0.010101[/C][C]0.979798[/C][C]0.00202[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]0[/C][C]0[/C][C]0.979798[/C][C]0[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]0[/C][C]0[/C][C]0.979798[/C][C]0[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]0[/C][C]0[/C][C]0.979798[/C][C]0[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]0[/C][C]0[/C][C]0.979798[/C][C]0[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]0[/C][C]0[/C][C]0.979798[/C][C]0[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]1[/C][C]0.010101[/C][C]0.989899[/C][C]0.00202[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]0[/C][C]0[/C][C]0.989899[/C][C]0[/C][/ROW]
[ROW][C][95,100][/C][C]97.5[/C][C]1[/C][C]0.010101[/C][C]1[/C][C]0.00202[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126290&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126290&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
[0,5[2.510.0101010.0101010.00202
[5,10[7.5230.2323230.2424240.046465
[10,15[12.5690.696970.9393940.139394
[15,20[17.530.0303030.9696970.006061
[20,25[22.5000.9696970
[25,30[27.510.0101010.9797980.00202
[30,35[32.5000.9797980
[35,40[37.5000.9797980
[40,45[42.5000.9797980
[45,50[47.5000.9797980
[50,55[52.5000.9797980
[55,60[57.510.0101010.9898990.00202
[60,65[62.5000.9898990
[65,70[67.5000.9898990
[70,75[72.5000.9898990
[75,80[77.5000.9898990
[80,85[82.5000.9898990
[85,90[87.5000.9898990
[90,95[92.5000.9898990
[95,100]97.510.01010110.00202


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; 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')
}