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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 computationSun, 26 Oct 2014 19:52:29 +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/Oct/26/t1414353165zzzpbe5p6cgxx47.htm/, Retrieved Mon, 13 May 2024 17:12:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=246736, Retrieved Mon, 13 May 2024 17:12:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMP         [Boxplot and Trimmed Means] [CARE Study Age 7 ] [2013-10-17 12:59:45] [34296d8f7657c52ed60d5bff9133afec]
- RM D          [Boxplot and Trimmed Means] [Age 10 Data] [2014-10-26 19:39:35] [0af727c7d6fddd5894090204e2de4756]
- RMPD              [Histogram] [WJ10AMA Histogram] [2014-10-26 19:52:29] [892fd876d1e57c7e7407bd9e84fe5104] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81
90
91
87
89
85
81
80
75
84
91
87
90
72
96
88
73
86
67
89
94
88
77
89
104
89
107
96
111
84
83
82
105
100
111
90
87
90
67
84
84
96
67
90
83
78
100
67
94
89
89
111
88
94
111
111
105
97
83
105
69
80
87
67
92
102
90
98
94
101
96
94
105
105
84
72
96
94
107
103
95
73
110
84
67
73
84
79
91
92
107
111
89
110
98
95
84
73
86
98
90
97
106
106

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=246736&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=246736&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=246736&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
[65,70[67.570.0673080.0673080.013462
[70,75[72.560.0576920.1250.011538
[75,80[77.540.0384620.1634620.007692
[80,85[82.5160.1538460.3173080.030769
[85,90[87.5170.1634620.4807690.032692
[90,95[92.5180.1730770.6538460.034615
[95,100[97.5120.1153850.7692310.023077
[100,105[102.560.0576920.8269230.011538
[105,110[107.5100.0961540.9230770.019231
[110,115]112.580.07692310.015385

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[65,70[ & 67.5 & 7 & 0.067308 & 0.067308 & 0.013462 \tabularnewline
[70,75[ & 72.5 & 6 & 0.057692 & 0.125 & 0.011538 \tabularnewline
[75,80[ & 77.5 & 4 & 0.038462 & 0.163462 & 0.007692 \tabularnewline
[80,85[ & 82.5 & 16 & 0.153846 & 0.317308 & 0.030769 \tabularnewline
[85,90[ & 87.5 & 17 & 0.163462 & 0.480769 & 0.032692 \tabularnewline
[90,95[ & 92.5 & 18 & 0.173077 & 0.653846 & 0.034615 \tabularnewline
[95,100[ & 97.5 & 12 & 0.115385 & 0.769231 & 0.023077 \tabularnewline
[100,105[ & 102.5 & 6 & 0.057692 & 0.826923 & 0.011538 \tabularnewline
[105,110[ & 107.5 & 10 & 0.096154 & 0.923077 & 0.019231 \tabularnewline
[110,115] & 112.5 & 8 & 0.076923 & 1 & 0.015385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=246736&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][65,70[[/C][C]67.5[/C][C]7[/C][C]0.067308[/C][C]0.067308[/C][C]0.013462[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]6[/C][C]0.057692[/C][C]0.125[/C][C]0.011538[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]4[/C][C]0.038462[/C][C]0.163462[/C][C]0.007692[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]16[/C][C]0.153846[/C][C]0.317308[/C][C]0.030769[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]17[/C][C]0.163462[/C][C]0.480769[/C][C]0.032692[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]18[/C][C]0.173077[/C][C]0.653846[/C][C]0.034615[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]12[/C][C]0.115385[/C][C]0.769231[/C][C]0.023077[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]6[/C][C]0.057692[/C][C]0.826923[/C][C]0.011538[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]10[/C][C]0.096154[/C][C]0.923077[/C][C]0.019231[/C][/ROW]
[ROW][C][110,115][/C][C]112.5[/C][C]8[/C][C]0.076923[/C][C]1[/C][C]0.015385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=246736&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=246736&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
[65,70[67.570.0673080.0673080.013462
[70,75[72.560.0576920.1250.011538
[75,80[77.540.0384620.1634620.007692
[80,85[82.5160.1538460.3173080.030769
[85,90[87.5170.1634620.4807690.032692
[90,95[92.5180.1730770.6538460.034615
[95,100[97.5120.1153850.7692310.023077
[100,105[102.560.0576920.8269230.011538
[105,110[107.5100.0961540.9230770.019231
[110,115]112.580.07692310.015385


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')
}