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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 computationWed, 30 Nov 2016 15:59:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/30/t1480518247t9au3jn9xad4rrm.htm/, Retrieved Wed, 22 May 2024 07:48:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297456, Retrieved Wed, 22 May 2024 07:48:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact46

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram & Frequ...] [2016-11-30 14:59:09] [8fee619fda962476c4dedef05f7f9476] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18
19
18
15
19
19
19
18
20
14
15
18
19
16
18
18
17
19
19
17
18
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20
13
19
15
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14
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18
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14
13
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14
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18
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14
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14
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15
18
15
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16
20
14
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13
17
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17
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14
20
19
16
19
17
19
20
19
19
16
18
16
17
18
16
17
15
18

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297456&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297456&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297456&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[13,14]13.5130.0792680.0792680.079268
]14,15]14.5110.0670730.1463410.067073
]15,16]15.5330.201220.3475610.20122
]16,17]16.5290.1768290.524390.176829
]17,18]17.5310.1890240.7134150.189024
]18,19]18.5280.1707320.8841460.170732
]19,20]19.5190.11585410.115854

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[13,14] & 13.5 & 13 & 0.079268 & 0.079268 & 0.079268 \tabularnewline
]14,15] & 14.5 & 11 & 0.067073 & 0.146341 & 0.067073 \tabularnewline
]15,16] & 15.5 & 33 & 0.20122 & 0.347561 & 0.20122 \tabularnewline
]16,17] & 16.5 & 29 & 0.176829 & 0.52439 & 0.176829 \tabularnewline
]17,18] & 17.5 & 31 & 0.189024 & 0.713415 & 0.189024 \tabularnewline
]18,19] & 18.5 & 28 & 0.170732 & 0.884146 & 0.170732 \tabularnewline
]19,20] & 19.5 & 19 & 0.115854 & 1 & 0.115854 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297456&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][13,14][/C][C]13.5[/C][C]13[/C][C]0.079268[/C][C]0.079268[/C][C]0.079268[/C][/ROW]
[ROW][C]]14,15][/C][C]14.5[/C][C]11[/C][C]0.067073[/C][C]0.146341[/C][C]0.067073[/C][/ROW]
[ROW][C]]15,16][/C][C]15.5[/C][C]33[/C][C]0.20122[/C][C]0.347561[/C][C]0.20122[/C][/ROW]
[ROW][C]]16,17][/C][C]16.5[/C][C]29[/C][C]0.176829[/C][C]0.52439[/C][C]0.176829[/C][/ROW]
[ROW][C]]17,18][/C][C]17.5[/C][C]31[/C][C]0.189024[/C][C]0.713415[/C][C]0.189024[/C][/ROW]
[ROW][C]]18,19][/C][C]18.5[/C][C]28[/C][C]0.170732[/C][C]0.884146[/C][C]0.170732[/C][/ROW]
[ROW][C]]19,20][/C][C]19.5[/C][C]19[/C][C]0.115854[/C][C]1[/C][C]0.115854[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297456&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297456&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
[13,14]13.5130.0792680.0792680.079268
]14,15]14.5110.0670730.1463410.067073
]15,16]15.5330.201220.3475610.20122
]16,17]16.5290.1768290.524390.176829
]17,18]17.5310.1890240.7134150.189024
]18,19]18.5280.1707320.8841460.170732
]19,20]19.5190.11585410.115854


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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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 {
barplot(mytab <- sort(table(x),T),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,'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')
}