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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 computationFri, 30 Nov 2012 08:01:29 -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/2012/Nov/30/t1354280537fvf14tqkoa4051o.htm/, Retrieved Fri, 03 May 2024 19:48:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195007, Retrieved Fri, 03 May 2024 19:48:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-11-30 13:01:29] [a5d65c007476aeb95d503c7a121a195d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26
20
19
NA
20
25
NA
22
26
22
NA
NA
19
24
26
NA
13
NA
NA
22
NA
21
7
NA
17
25
25
19
NA
23
NA
22
21
NA
NA
NA
18
NA
NA
22
18
23
20
NA
NA
15
NA
NA
21
NA
18
19
22
16
NA
18
20
24
NA
NA
24
18
21
NA
17
NA
NA
NA
22
16
21
NA
NA
24
24
16
16
NA
NA
NA
NA
18
NA
20
NA
NA
24
17
19
20
15
NA
22
23
16
19
NA
19
NA
NA
21
NA
24
22
NA
18
NA
24
24
22
23
22
20
18
25
NA
16
20
NA
15
19
19
16
17
28
NA
25
20
NA
NA
16
NA
NA
NA
NA
23
21
NA
NA
23
18
20
9
NA
25
20
NA
NA
NA
NA
21
22
27
NA
NA
NA
18
16
22
20
NA
20

Tables (Output of Computation)





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=195007&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=195007&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195007&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6,8]710.0061730.0061730.005102
]8,10]910.0061730.0123460.005102
]10,12]11000.0123460
]12,14]1310.0061730.0185190.005102
]14,16]15120.0740740.0925930.061224
]16,18]17140.086420.1790120.071429
]18,20]19220.1358020.3148150.112245
]20,22]21210.129630.4444440.107143
]22,24]23150.0925930.5370370.076531
]24,26]2590.0555560.5925930.045918
]26,28]2720.0123460.6049380.010204

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6,8] & 7 & 1 & 0.006173 & 0.006173 & 0.005102 \tabularnewline
]8,10] & 9 & 1 & 0.006173 & 0.012346 & 0.005102 \tabularnewline
]10,12] & 11 & 0 & 0 & 0.012346 & 0 \tabularnewline
]12,14] & 13 & 1 & 0.006173 & 0.018519 & 0.005102 \tabularnewline
]14,16] & 15 & 12 & 0.074074 & 0.092593 & 0.061224 \tabularnewline
]16,18] & 17 & 14 & 0.08642 & 0.179012 & 0.071429 \tabularnewline
]18,20] & 19 & 22 & 0.135802 & 0.314815 & 0.112245 \tabularnewline
]20,22] & 21 & 21 & 0.12963 & 0.444444 & 0.107143 \tabularnewline
]22,24] & 23 & 15 & 0.092593 & 0.537037 & 0.076531 \tabularnewline
]24,26] & 25 & 9 & 0.055556 & 0.592593 & 0.045918 \tabularnewline
]26,28] & 27 & 2 & 0.012346 & 0.604938 & 0.010204 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195007&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][6,8][/C][C]7[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.005102[/C][/ROW]
[ROW][C]]8,10][/C][C]9[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.005102[/C][/ROW]
[ROW][C]]10,12][/C][C]11[/C][C]0[/C][C]0[/C][C]0.012346[/C][C]0[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]1[/C][C]0.006173[/C][C]0.018519[/C][C]0.005102[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]12[/C][C]0.074074[/C][C]0.092593[/C][C]0.061224[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]14[/C][C]0.08642[/C][C]0.179012[/C][C]0.071429[/C][/ROW]
[ROW][C]]18,20][/C][C]19[/C][C]22[/C][C]0.135802[/C][C]0.314815[/C][C]0.112245[/C][/ROW]
[ROW][C]]20,22][/C][C]21[/C][C]21[/C][C]0.12963[/C][C]0.444444[/C][C]0.107143[/C][/ROW]
[ROW][C]]22,24][/C][C]23[/C][C]15[/C][C]0.092593[/C][C]0.537037[/C][C]0.076531[/C][/ROW]
[ROW][C]]24,26][/C][C]25[/C][C]9[/C][C]0.055556[/C][C]0.592593[/C][C]0.045918[/C][/ROW]
[ROW][C]]26,28][/C][C]27[/C][C]2[/C][C]0.012346[/C][C]0.604938[/C][C]0.010204[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195007&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195007&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
[6,8]710.0061730.0061730.005102
]8,10]910.0061730.0123460.005102
]10,12]11000.0123460
]12,14]1310.0061730.0185190.005102
]14,16]15120.0740740.0925930.061224
]16,18]17140.086420.1790120.071429
]18,20]19220.1358020.3148150.112245
]20,22]21210.129630.4444440.107143
]22,24]23150.0925930.5370370.076531
]24,26]2590.0555560.5925930.045918
]26,28]2720.0123460.6049380.010204


Figures (Output of Computation)

Input Parameters & R Code

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