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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, 16 Dec 2016 11:51:12 +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/Dec/16/t1481885547kil1rlh6vgwk3j9.htm/, Retrieved Thu, 02 May 2024 15:20:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300171, Retrieved Thu, 02 May 2024 15:20:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram] [2016-12-16 10:51:12] [11d51d7e350bf29ed16c1cdae557fc53] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1
4
6
1
8
3
8
7
7
4
6
2
5
2
5
5
5
1
7
2
4
1
2
2
5
3
7
6
9
4
4
1
5
0
2
3
1
2
3
2
1
2
1
2
1
1
1
0
6
3
3
2
1
3
1
0
3
1
2
1
0
2
0
0
1
4
1
6
1
2
5
1
2
2
2
9
5
7
6
5
3
6
2
3
7
4
5
2
2
5

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300171&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300171&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300171&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 time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,1]0.5250.2777780.2777780.277778
]1,2]1.5200.2222220.50.222222
]2,3]2.5100.1111110.6111110.111111
]3,4]3.570.0777780.6888890.077778
]4,5]4.5110.1222220.8111110.122222
]5,6]5.570.0777780.8888890.077778
]6,7]6.560.0666670.9555560.066667
]7,8]7.520.0222220.9777780.022222
]8,9]8.520.02222210.022222

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1] & 0.5 & 25 & 0.277778 & 0.277778 & 0.277778 \tabularnewline
]1,2] & 1.5 & 20 & 0.222222 & 0.5 & 0.222222 \tabularnewline
]2,3] & 2.5 & 10 & 0.111111 & 0.611111 & 0.111111 \tabularnewline
]3,4] & 3.5 & 7 & 0.077778 & 0.688889 & 0.077778 \tabularnewline
]4,5] & 4.5 & 11 & 0.122222 & 0.811111 & 0.122222 \tabularnewline
]5,6] & 5.5 & 7 & 0.077778 & 0.888889 & 0.077778 \tabularnewline
]6,7] & 6.5 & 6 & 0.066667 & 0.955556 & 0.066667 \tabularnewline
]7,8] & 7.5 & 2 & 0.022222 & 0.977778 & 0.022222 \tabularnewline
]8,9] & 8.5 & 2 & 0.022222 & 1 & 0.022222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300171&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][0,1][/C][C]0.5[/C][C]25[/C][C]0.277778[/C][C]0.277778[/C][C]0.277778[/C][/ROW]
[ROW][C]]1,2][/C][C]1.5[/C][C]20[/C][C]0.222222[/C][C]0.5[/C][C]0.222222[/C][/ROW]
[ROW][C]]2,3][/C][C]2.5[/C][C]10[/C][C]0.111111[/C][C]0.611111[/C][C]0.111111[/C][/ROW]
[ROW][C]]3,4][/C][C]3.5[/C][C]7[/C][C]0.077778[/C][C]0.688889[/C][C]0.077778[/C][/ROW]
[ROW][C]]4,5][/C][C]4.5[/C][C]11[/C][C]0.122222[/C][C]0.811111[/C][C]0.122222[/C][/ROW]
[ROW][C]]5,6][/C][C]5.5[/C][C]7[/C][C]0.077778[/C][C]0.888889[/C][C]0.077778[/C][/ROW]
[ROW][C]]6,7][/C][C]6.5[/C][C]6[/C][C]0.066667[/C][C]0.955556[/C][C]0.066667[/C][/ROW]
[ROW][C]]7,8][/C][C]7.5[/C][C]2[/C][C]0.022222[/C][C]0.977778[/C][C]0.022222[/C][/ROW]
[ROW][C]]8,9][/C][C]8.5[/C][C]2[/C][C]0.022222[/C][C]1[/C][C]0.022222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300171&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300171&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
[0,1]0.5250.2777780.2777780.277778
]1,2]1.5200.2222220.50.222222
]2,3]2.5100.1111110.6111110.111111
]3,4]3.570.0777780.6888890.077778
]4,5]4.5110.1222220.8111110.122222
]5,6]5.570.0777780.8888890.077778
]6,7]6.560.0666670.9555560.066667
]7,8]7.520.0222220.9777780.022222
]8,9]8.520.02222210.022222


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')
}