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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 computationTue, 29 Nov 2011 05:54:56 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/29/t13225641457r7yu7wbwl0g39p.htm/, Retrieved Thu, 25 Apr 2024 15:28:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148186, Retrieved Thu, 25 Apr 2024 15:28:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsfrequency tabel and histogram
Estimated Impact100

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Stem-and-leaf Plot] [Paper] [2011-11-29 10:42:53] [227e53f633d125e3e89f625705633e7f]
- RMPD    [Histogram] [paper] [2011-11-29 10:54:56] [065e524ef27b3ebe8baf73e00eb8c266] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83
79
92
83
92
103
82
86
106
79
86
76
108
82
108
118
127
123
72
105
63
86
58
59
100
100
78
94
105
89
101
92
105
76
80
66
117
94
107
110
110
106
94
71
101
84
89
119
97
82
89
70
101
81
74
107
97
83
95
82
88
74
104
73
73
81
79
83
111
138
81
107
66
81
74
96
86
69
73
71
64
79
60
111
107
90
98
77
93
68
74
70
80
81
72
81
92
81

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=148186&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=148186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148186&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
[50,60[5520.0204080.0204080.002041
[60,70[6570.0714290.0918370.007143
[70,80[75210.2142860.3061220.021429
[80,90[85260.2653060.5714290.026531
[90,100[95140.1428570.7142860.014286
[100,110[105180.1836730.8979590.018367
[110,120[11570.0714290.9693880.007143
[120,130[12520.0204080.9897960.002041
[130,140]13510.01020410.00102

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,60[ & 55 & 2 & 0.020408 & 0.020408 & 0.002041 \tabularnewline
[60,70[ & 65 & 7 & 0.071429 & 0.091837 & 0.007143 \tabularnewline
[70,80[ & 75 & 21 & 0.214286 & 0.306122 & 0.021429 \tabularnewline
[80,90[ & 85 & 26 & 0.265306 & 0.571429 & 0.026531 \tabularnewline
[90,100[ & 95 & 14 & 0.142857 & 0.714286 & 0.014286 \tabularnewline
[100,110[ & 105 & 18 & 0.183673 & 0.897959 & 0.018367 \tabularnewline
[110,120[ & 115 & 7 & 0.071429 & 0.969388 & 0.007143 \tabularnewline
[120,130[ & 125 & 2 & 0.020408 & 0.989796 & 0.002041 \tabularnewline
[130,140] & 135 & 1 & 0.010204 & 1 & 0.00102 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148186&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][50,60[[/C][C]55[/C][C]2[/C][C]0.020408[/C][C]0.020408[/C][C]0.002041[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]7[/C][C]0.071429[/C][C]0.091837[/C][C]0.007143[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]21[/C][C]0.214286[/C][C]0.306122[/C][C]0.021429[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]26[/C][C]0.265306[/C][C]0.571429[/C][C]0.026531[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]14[/C][C]0.142857[/C][C]0.714286[/C][C]0.014286[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]18[/C][C]0.183673[/C][C]0.897959[/C][C]0.018367[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]7[/C][C]0.071429[/C][C]0.969388[/C][C]0.007143[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]2[/C][C]0.020408[/C][C]0.989796[/C][C]0.002041[/C][/ROW]
[ROW][C][130,140][/C][C]135[/C][C]1[/C][C]0.010204[/C][C]1[/C][C]0.00102[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148186&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
[50,60[5520.0204080.0204080.002041
[60,70[6570.0714290.0918370.007143
[70,80[75210.2142860.3061220.021429
[80,90[85260.2653060.5714290.026531
[90,100[95140.1428570.7142860.014286
[100,110[105180.1836730.8979590.018367
[110,120[11570.0714290.9693880.007143
[120,130[12520.0204080.9897960.002041
[130,140]13510.01020410.00102


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')
}