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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, 10 Dec 2010 18:35:57 +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/2010/Dec/10/t1292006191jy0x454kriir9v2.htm/, Retrieved Mon, 29 Apr 2024 09:21:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107878, Retrieved Mon, 29 Apr 2024 09:21:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
-    D    [Histogram] [Histogram - Total...] [2010-12-10 18:35:57] [93ab421e12cd1017d2b38fdbcbdb62e0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85
76
78
67
69
67
70
72
70
69
81
87
67
64
68
62
70
56
74
96
85
100
76
81
69
71
75
71
80
67
74
101
89
84
77
92
87
63
102
85
97
79
65
72
74
66
76
94
84
86
74
68
70
42
110
83
78
69
52
64
71
74
76
72
55
85
80
76
57
75
75
65
90
96
81
73
67
78
72
83
85
60
73
79
69
75
73
69
97
65
79
48
58
75
70
106
91
93
65
71
81
59
78
72
78
72
64
75
87
64
54
82
73
96
63
63
75
63
85
56
77
61
86
55
73
77
59
74
72
92
81
61
65
55
67
95
68
73
67
82
85
96
103
69
85
89
91
68
56
74
73
92
106
70
88
64
85
82
99

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107878&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107878&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[40,50[4520.0125790.0125790.001258
[50,60[55120.0754720.088050.007547
[60,70[65370.2327040.3207550.02327
[70,80[75540.3396230.6603770.033962
[80,90[85310.1949690.8553460.019497
[90,100[95160.1006290.9559750.010063
[100,110]10570.04402510.004403

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[40,50[ & 45 & 2 & 0.012579 & 0.012579 & 0.001258 \tabularnewline
[50,60[ & 55 & 12 & 0.075472 & 0.08805 & 0.007547 \tabularnewline
[60,70[ & 65 & 37 & 0.232704 & 0.320755 & 0.02327 \tabularnewline
[70,80[ & 75 & 54 & 0.339623 & 0.660377 & 0.033962 \tabularnewline
[80,90[ & 85 & 31 & 0.194969 & 0.855346 & 0.019497 \tabularnewline
[90,100[ & 95 & 16 & 0.100629 & 0.955975 & 0.010063 \tabularnewline
[100,110] & 105 & 7 & 0.044025 & 1 & 0.004403 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107878&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][40,50[[/C][C]45[/C][C]2[/C][C]0.012579[/C][C]0.012579[/C][C]0.001258[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]12[/C][C]0.075472[/C][C]0.08805[/C][C]0.007547[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]37[/C][C]0.232704[/C][C]0.320755[/C][C]0.02327[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]54[/C][C]0.339623[/C][C]0.660377[/C][C]0.033962[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]31[/C][C]0.194969[/C][C]0.855346[/C][C]0.019497[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]16[/C][C]0.100629[/C][C]0.955975[/C][C]0.010063[/C][/ROW]
[ROW][C][100,110][/C][C]105[/C][C]7[/C][C]0.044025[/C][C]1[/C][C]0.004403[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107878&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
[40,50[4520.0125790.0125790.001258
[50,60[55120.0754720.088050.007547
[60,70[65370.2327040.3207550.02327
[70,80[75540.3396230.6603770.033962
[80,90[85310.1949690.8553460.019497
[90,100[95160.1006290.9559750.010063
[100,110]10570.04402510.004403


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')
}