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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, 22 Feb 2011 12:41:14 +0000
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/Feb/22/t1298378394mxkeosvjac4cg2c.htm/, Retrieved Sun, 19 May 2024 14:05:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118737, Retrieved Sun, 19 May 2024 14:05:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact95

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [hoeveelheid sterr...] [2011-02-22 12:41:14] [75b7fe93b57f9e359de9d9cae642ffd9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
25
28
31
32
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32
31
28
25
22
18
14
10
7
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2
0
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27
30
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32
30
27
24
20
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12
9
5
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1
0
0
1
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6
9
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24
27
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28
25
22
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12
9
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29
27
25
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19
16
12
9
6
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1
1
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7
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14
17
21
25
29
31
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33
31
29
26
22
19
14
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7
4
2
1
0
1
2
5
7
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15
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25
28
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31
29
26
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21
17
14
11
9
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24
27
29
31
31
31
31
29
27
24
21
18
14
10
7
5
2
1
0
1
2
5
8
12
15
19
23
27
30
32
34
34
34
32
30
28
24
20
16
13
9
6
3
2
1
1
2
4
6
9
13
17
20
23
26
28
30
31
31
31
29
27
24
22
19
16
13
11
9
8
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7
7
8
9
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26
25
24
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21
19
16
14
12
9
7
5
5
4
5
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10
13
16
20
23
26
29
31
32
32
32
31
29
26
23
20
16
12
8
6
3
1
0
0
1
3
6
10
13
17
21
25
28
31
33
34
34
33
31
29
26
22
18
15
11
8
5
3
2
2
2
4
5

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118737&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118737&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118737&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.5590.0983330.0983330.019667
[5,10[7.5780.130.2283330.026
[10,15[12.51050.1750.4033330.035
[15,20[17.51110.1850.5883330.037
[20,25[22.51100.1833330.7716670.036667
[25,30[27.5720.120.8916670.024
[30,35]32.5650.10833310.021667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 59 & 0.098333 & 0.098333 & 0.019667 \tabularnewline
[5,10[ & 7.5 & 78 & 0.13 & 0.228333 & 0.026 \tabularnewline
[10,15[ & 12.5 & 105 & 0.175 & 0.403333 & 0.035 \tabularnewline
[15,20[ & 17.5 & 111 & 0.185 & 0.588333 & 0.037 \tabularnewline
[20,25[ & 22.5 & 110 & 0.183333 & 0.771667 & 0.036667 \tabularnewline
[25,30[ & 27.5 & 72 & 0.12 & 0.891667 & 0.024 \tabularnewline
[30,35] & 32.5 & 65 & 0.108333 & 1 & 0.021667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118737&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]59[/C][C]0.098333[/C][C]0.098333[/C][C]0.019667[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]78[/C][C]0.13[/C][C]0.228333[/C][C]0.026[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]105[/C][C]0.175[/C][C]0.403333[/C][C]0.035[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]111[/C][C]0.185[/C][C]0.588333[/C][C]0.037[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]110[/C][C]0.183333[/C][C]0.771667[/C][C]0.036667[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]72[/C][C]0.12[/C][C]0.891667[/C][C]0.024[/C][/ROW]
[ROW][C][30,35][/C][C]32.5[/C][C]65[/C][C]0.108333[/C][C]1[/C][C]0.021667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118737&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118737&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[2.5590.0983330.0983330.019667
[5,10[7.5780.130.2283330.026
[10,15[12.51050.1750.4033330.035
[15,20[17.51110.1850.5883330.037
[20,25[22.51100.1833330.7716670.036667
[25,30[27.5720.120.8916670.024
[30,35]32.5650.10833310.021667


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')
}