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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, 17 Dec 2014 20:53:10 +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/t1418849620sd7x66avjt3pcof.htm/, Retrieved Sun, 19 May 2024 21:00:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270677, Retrieved Sun, 19 May 2024 21:00:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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 20:53:10] [58179e1d3a5a39b9daf58e365d8a3352] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86
71
108
64
119
97
129
153
78
80
99
147
40
57
120
71
68
137
79
101
111
189
81
63
69
71
64
85
55
69
96
100
68
57
105
69
49
50
93
58
74
107
65
58
70
95
136
82
102
65
90
83
70
77
37
81
71
40
43
32
76
30
51

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270677&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270677&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270677&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[20,40[3030.0476190.0476190.002381
[40,60[50110.1746030.2222220.00873
[60,80[70210.3333330.5555560.016667
[80,100[90130.2063490.7619050.010317
[100,120[11080.1269840.8888890.006349
[120,140[13040.0634920.9523810.003175
[140,160[15020.0317460.9841270.001587
[160,180[170000.9841270
[180,200]19010.01587310.000794

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20,40[ & 30 & 3 & 0.047619 & 0.047619 & 0.002381 \tabularnewline
[40,60[ & 50 & 11 & 0.174603 & 0.222222 & 0.00873 \tabularnewline
[60,80[ & 70 & 21 & 0.333333 & 0.555556 & 0.016667 \tabularnewline
[80,100[ & 90 & 13 & 0.206349 & 0.761905 & 0.010317 \tabularnewline
[100,120[ & 110 & 8 & 0.126984 & 0.888889 & 0.006349 \tabularnewline
[120,140[ & 130 & 4 & 0.063492 & 0.952381 & 0.003175 \tabularnewline
[140,160[ & 150 & 2 & 0.031746 & 0.984127 & 0.001587 \tabularnewline
[160,180[ & 170 & 0 & 0 & 0.984127 & 0 \tabularnewline
[180,200] & 190 & 1 & 0.015873 & 1 & 0.000794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270677&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][20,40[[/C][C]30[/C][C]3[/C][C]0.047619[/C][C]0.047619[/C][C]0.002381[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]11[/C][C]0.174603[/C][C]0.222222[/C][C]0.00873[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]21[/C][C]0.333333[/C][C]0.555556[/C][C]0.016667[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]13[/C][C]0.206349[/C][C]0.761905[/C][C]0.010317[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]8[/C][C]0.126984[/C][C]0.888889[/C][C]0.006349[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]4[/C][C]0.063492[/C][C]0.952381[/C][C]0.003175[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]2[/C][C]0.031746[/C][C]0.984127[/C][C]0.001587[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]0[/C][C]0[/C][C]0.984127[/C][C]0[/C][/ROW]
[ROW][C][180,200][/C][C]190[/C][C]1[/C][C]0.015873[/C][C]1[/C][C]0.000794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270677&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270677&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
[20,40[3030.0476190.0476190.002381
[40,60[50110.1746030.2222220.00873
[60,80[70210.3333330.5555560.016667
[80,100[90130.2063490.7619050.010317
[100,120[11080.1269840.8888890.006349
[120,140[13040.0634920.9523810.003175
[140,160[15020.0317460.9841270.001587
[160,180[170000.9841270
[180,200]19010.01587310.000794


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')
}