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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 computationWed, 21 Sep 2016 19:13:12 +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/Sep/21/t1474482260pkx53lkspwa1kcm.htm/, Retrieved Thu, 09 May 2024 03:54:01 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 09 May 2024 03:54:01 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
985
110
84
110
82
74
96
51
95
69
65
87
62
766
69
58
82
55
72
50
44
86
56
64
82
48
997
95
72
88
75
77
62
88
61
90
116
107
66
1055
101
72
99
93
91
85
101
72
79
92
96
74
976
102
72
70
113
69
60
90
72
91
71
70
96
735
75
58
67
58
54
66
55
47
75
51
49
80

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[0,100[50640.8205130.8205130.008205
[100,200[15080.1025640.9230770.001026
[200,300[250000.9230770
[300,400[350000.9230770
[400,500[450000.9230770
[500,600[550000.9230770
[600,700[650000.9230770
[700,800[75020.0256410.9487180.000256
[800,900[850000.9487180
[900,1000[95030.0384620.9871790.000385
[1000,1100]105010.01282110.000128

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,100[ & 50 & 64 & 0.820513 & 0.820513 & 0.008205 \tabularnewline
[100,200[ & 150 & 8 & 0.102564 & 0.923077 & 0.001026 \tabularnewline
[200,300[ & 250 & 0 & 0 & 0.923077 & 0 \tabularnewline
[300,400[ & 350 & 0 & 0 & 0.923077 & 0 \tabularnewline
[400,500[ & 450 & 0 & 0 & 0.923077 & 0 \tabularnewline
[500,600[ & 550 & 0 & 0 & 0.923077 & 0 \tabularnewline
[600,700[ & 650 & 0 & 0 & 0.923077 & 0 \tabularnewline
[700,800[ & 750 & 2 & 0.025641 & 0.948718 & 0.000256 \tabularnewline
[800,900[ & 850 & 0 & 0 & 0.948718 & 0 \tabularnewline
[900,1000[ & 950 & 3 & 0.038462 & 0.987179 & 0.000385 \tabularnewline
[1000,1100] & 1050 & 1 & 0.012821 & 1 & 0.000128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][0,100[[/C][C]50[/C][C]64[/C][C]0.820513[/C][C]0.820513[/C][C]0.008205[/C][/ROW]
[ROW][C][100,200[[/C][C]150[/C][C]8[/C][C]0.102564[/C][C]0.923077[/C][C]0.001026[/C][/ROW]
[ROW][C][200,300[[/C][C]250[/C][C]0[/C][C]0[/C][C]0.923077[/C][C]0[/C][/ROW]
[ROW][C][300,400[[/C][C]350[/C][C]0[/C][C]0[/C][C]0.923077[/C][C]0[/C][/ROW]
[ROW][C][400,500[[/C][C]450[/C][C]0[/C][C]0[/C][C]0.923077[/C][C]0[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]0[/C][C]0[/C][C]0.923077[/C][C]0[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]0[/C][C]0[/C][C]0.923077[/C][C]0[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]2[/C][C]0.025641[/C][C]0.948718[/C][C]0.000256[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]0[/C][C]0[/C][C]0.948718[/C][C]0[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]3[/C][C]0.038462[/C][C]0.987179[/C][C]0.000385[/C][/ROW]
[ROW][C][1000,1100][/C][C]1050[/C][C]1[/C][C]0.012821[/C][C]1[/C][C]0.000128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[0,100[50640.8205130.8205130.008205
[100,200[15080.1025640.9230770.001026
[200,300[250000.9230770
[300,400[350000.9230770
[400,500[450000.9230770
[500,600[550000.9230770
[600,700[650000.9230770
[700,800[75020.0256410.9487180.000256
[800,900[850000.9487180
[900,1000[95030.0384620.9871790.000385
[1000,1100]105010.01282110.000128


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = black ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = black ; 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 {
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,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')
}