FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 17 Dec 2014 16:13:13 +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/2014/Dec/17/t1418832847xcubk131hh2rwxj.htm/, Retrieved Thu, 16 May 2024 21:42:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270490, Retrieved Thu, 16 May 2024 21:42:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-12-17 16:13:13] [61a57b1a717662ce9f6e819e563a5fa9] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12,9
12,8
7,4
6,7
12,6
14,8
13,3
11,1
8,2
11,4
6,4
12
6,3
11,3
11,9
9,3
10
13,8
10,8
11,7
10,9
16,1
9,9
11,5
8,3
11,7
9
10,8
10,4
12,7
11,8
13
10,8
12,3
11,3
11,6
10,9
12,1
13,3
10,1
14,3
9,3
12,5
7,6
9,2
14,5
12,3
12,6
13
12,6
13,2
7,7
10,5
10,9
4,3
10,3
11,4
5,6
8,8
9
9,6
6,4
11,6
4,35
12,7
18,1
17,85
16,6
12,6
17,1
19,1
16,1
13,35
18,4
14,7
10,6
12,6
16,2
13,6
18,9
14,1
14,5
16,15
14,75
14,8
12,45
12,65
17,35
8,6
18,4
16,1
11,6
17,75
15,25
17,65
16,35
17,65
13,6
14,35
14,75
18,25
9,9
16
18,25
16,85
14,6
13,85
18,95
15,6
14,85
11,75
18,45
15,9
17,1
16,1
19,9
10,95
18,45
15,1
15
11,35
15,95
18,1
14,6
15,4
15,4
17,6
13,35
19,1
15,35
7,6
13,4
13,9
19,1
15,25
12,9
16,1
17,35
13,15
12,15
12,6
10,35
15,4
9,6
18,2
13,6
14,85
14,75
14,1
14,9
16,25
19,25
13,6
13,6
15,65
12,75
14,6
9,85
12,65
19,2
16,6
11,2
15,25
11,9
13,2
16,35
12,4
15,85
18,15
11,15
15,65
17,75
7,65
12,35
15,6
19,3
15,2
17,1
15,6
18,4
19,05
18,55
19,1
13,1
12,85
9,5
4,5
11,85
13,6
11,7
12,4
13,35
11,4
14,9
19,9
11,2
14,6
17,6
14,05
16,1
13,35
11,85
11,95
14,75
15,15
13,2
16,85
7,85
7,7
12,6
7,85
10,95
12,35
9,95
14,9
16,65
13,4
13,95
15,7
16,85
10,95
15,35
12,2
15,1
17,75
15,2
14,6
16,65
8,1

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270490&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270490&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270490&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6]540.0174670.0174670.008734
]6,8]7120.0524020.0698690.026201
]8,10]9180.0786030.1484720.039301
]10,12]11400.1746720.3231440.087336
]12,14]13520.2270740.5502180.113537
]14,16]15480.2096070.7598250.104803
]16,18]17310.1353710.8951970.067686
]18,20]19240.10480310.052402

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6] & 5 & 4 & 0.017467 & 0.017467 & 0.008734 \tabularnewline
]6,8] & 7 & 12 & 0.052402 & 0.069869 & 0.026201 \tabularnewline
]8,10] & 9 & 18 & 0.078603 & 0.148472 & 0.039301 \tabularnewline
]10,12] & 11 & 40 & 0.174672 & 0.323144 & 0.087336 \tabularnewline
]12,14] & 13 & 52 & 0.227074 & 0.550218 & 0.113537 \tabularnewline
]14,16] & 15 & 48 & 0.209607 & 0.759825 & 0.104803 \tabularnewline
]16,18] & 17 & 31 & 0.135371 & 0.895197 & 0.067686 \tabularnewline
]18,20] & 19 & 24 & 0.104803 & 1 & 0.052402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270490&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][4,6][/C][C]5[/C][C]4[/C][C]0.017467[/C][C]0.017467[/C][C]0.008734[/C][/ROW]
[ROW][C]]6,8][/C][C]7[/C][C]12[/C][C]0.052402[/C][C]0.069869[/C][C]0.026201[/C][/ROW]
[ROW][C]]8,10][/C][C]9[/C][C]18[/C][C]0.078603[/C][C]0.148472[/C][C]0.039301[/C][/ROW]
[ROW][C]]10,12][/C][C]11[/C][C]40[/C][C]0.174672[/C][C]0.323144[/C][C]0.087336[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]52[/C][C]0.227074[/C][C]0.550218[/C][C]0.113537[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]48[/C][C]0.209607[/C][C]0.759825[/C][C]0.104803[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]31[/C][C]0.135371[/C][C]0.895197[/C][C]0.067686[/C][/ROW]
[ROW][C]]18,20][/C][C]19[/C][C]24[/C][C]0.104803[/C][C]1[/C][C]0.052402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270490&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270490&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
[4,6]540.0174670.0174670.008734
]6,8]7120.0524020.0698690.026201
]8,10]9180.0786030.1484720.039301
]10,12]11400.1746720.3231440.087336
]12,14]13520.2270740.5502180.113537
]14,16]15480.2096070.7598250.104803
]16,18]17310.1353710.8951970.067686
]18,20]19240.10480310.052402


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):
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')
}