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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, 09 Dec 2014 12:55:37 +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/09/t1418129778v0znalpz3cjg4pc.htm/, Retrieved Thu, 16 May 2024 10:19:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264544, Retrieved Thu, 16 May 2024 10:19:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [Regression Example] [2012-01-24 12:40:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Histogram] [] [2014-12-09 12:55:37] [72cac7a208a8ab73627df21fd645bf95] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
111
102
108
109
118
79
88
102
105
92
131
104
83
84
85
110
121
120
100
94
89
93
128
84
127
106
129
82
106
109
91
111
105
118
103
101
101
95
108
95
98
82
100
100
107
95
97
93
81
89
111
95
106
83
81
115
112
92
85
95
115
91
107
102
86
96
114
105
82
120
88
90
85
106
109
75
91
96
108
86
98
99
95
88
111
103
107
118

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264544&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264544&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 time0 seconds
R Server'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[70,80[7520.0227270.0227270.002273
[80,90[85190.2159090.2386360.021591
[90,100[95210.2386360.4772730.023864
[100,110[105270.3068180.7840910.030682
[110,120[115120.1363640.9204550.013636
[120,130[12560.0681820.9886360.006818
[130,140]13510.01136410.001136

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70,80[ & 75 & 2 & 0.022727 & 0.022727 & 0.002273 \tabularnewline
[80,90[ & 85 & 19 & 0.215909 & 0.238636 & 0.021591 \tabularnewline
[90,100[ & 95 & 21 & 0.238636 & 0.477273 & 0.023864 \tabularnewline
[100,110[ & 105 & 27 & 0.306818 & 0.784091 & 0.030682 \tabularnewline
[110,120[ & 115 & 12 & 0.136364 & 0.920455 & 0.013636 \tabularnewline
[120,130[ & 125 & 6 & 0.068182 & 0.988636 & 0.006818 \tabularnewline
[130,140] & 135 & 1 & 0.011364 & 1 & 0.001136 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264544&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][70,80[[/C][C]75[/C][C]2[/C][C]0.022727[/C][C]0.022727[/C][C]0.002273[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]19[/C][C]0.215909[/C][C]0.238636[/C][C]0.021591[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]21[/C][C]0.238636[/C][C]0.477273[/C][C]0.023864[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]27[/C][C]0.306818[/C][C]0.784091[/C][C]0.030682[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]12[/C][C]0.136364[/C][C]0.920455[/C][C]0.013636[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]6[/C][C]0.068182[/C][C]0.988636[/C][C]0.006818[/C][/ROW]
[ROW][C][130,140][/C][C]135[/C][C]1[/C][C]0.011364[/C][C]1[/C][C]0.001136[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264544&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
[70,80[7520.0227270.0227270.002273
[80,90[85190.2159090.2386360.021591
[90,100[95210.2386360.4772730.023864
[100,110[105270.3068180.7840910.030682
[110,120[115120.1363640.9204550.013636
[120,130[12560.0681820.9886360.006818
[130,140]13510.01136410.001136


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 7 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 7 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '8'
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')
}