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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 computationMon, 27 Oct 2014 16:50:55 +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/27/t1414430209pldhvq0tizyyqmn.htm/, Retrieved Thu, 09 May 2024 23:32:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=247381, Retrieved Thu, 09 May 2024 23:32:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

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]
- RMPD            [Histogram] [AWL] [2014-10-27 16:50:55] [179cc397bc7ba643a7ca8fd40ad387b9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109
88
87
78
72
85
73
77
90
78
96
84
87
105
89
78
96
79
90
96
95
79
86
99
111
105
123
102
82
86
117
94
110
86
109
118
64
78
86
98
64
84
87
88
106
78
79
95
98
101
104
91
78
123
109
77
77
102
88
81
83
72
95
109
91
87
112
95
103
108
116
71
70
105
112
86
109
112
97
122
97
64
84
110
70
100
102
108
123
78
109
106
95
108
74
86
82
88
96
114
111
88
123
89
114
121
100
83
92
108
87
84
95
90
82
84
96
109
84
83
93
120
83
103
103
102
90
69
114
64
87
116
121
90
92
81
84
106
75
79
80
74
66
81
98
99
68
100
97
99
104
82
92
99
109
106
89
87
98
95
92
90

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=247381&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=247381&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=247381&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
[60,65[62.540.0246910.0246910.004938
[65,70[67.530.0185190.043210.003704
[70,75[72.580.0493830.0925930.009877
[75,80[77.5150.0925930.1851850.018519
[80,85[82.5190.1172840.3024690.023457
[85,90[87.5220.1358020.4382720.02716
[90,95[92.5140.086420.5246910.017284
[95,100[97.5230.1419750.6666670.028395
[100,105[102.5130.0802470.7469140.016049
[105,110[107.5190.1172840.8641980.023457
[110,115[112.5100.0617280.9259260.012346
[115,120[117.540.0246910.9506170.004938
[120,125]122.580.04938310.009877

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,65[ & 62.5 & 4 & 0.024691 & 0.024691 & 0.004938 \tabularnewline
[65,70[ & 67.5 & 3 & 0.018519 & 0.04321 & 0.003704 \tabularnewline
[70,75[ & 72.5 & 8 & 0.049383 & 0.092593 & 0.009877 \tabularnewline
[75,80[ & 77.5 & 15 & 0.092593 & 0.185185 & 0.018519 \tabularnewline
[80,85[ & 82.5 & 19 & 0.117284 & 0.302469 & 0.023457 \tabularnewline
[85,90[ & 87.5 & 22 & 0.135802 & 0.438272 & 0.02716 \tabularnewline
[90,95[ & 92.5 & 14 & 0.08642 & 0.524691 & 0.017284 \tabularnewline
[95,100[ & 97.5 & 23 & 0.141975 & 0.666667 & 0.028395 \tabularnewline
[100,105[ & 102.5 & 13 & 0.080247 & 0.746914 & 0.016049 \tabularnewline
[105,110[ & 107.5 & 19 & 0.117284 & 0.864198 & 0.023457 \tabularnewline
[110,115[ & 112.5 & 10 & 0.061728 & 0.925926 & 0.012346 \tabularnewline
[115,120[ & 117.5 & 4 & 0.024691 & 0.950617 & 0.004938 \tabularnewline
[120,125] & 122.5 & 8 & 0.049383 & 1 & 0.009877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=247381&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][60,65[[/C][C]62.5[/C][C]4[/C][C]0.024691[/C][C]0.024691[/C][C]0.004938[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]3[/C][C]0.018519[/C][C]0.04321[/C][C]0.003704[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]8[/C][C]0.049383[/C][C]0.092593[/C][C]0.009877[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]15[/C][C]0.092593[/C][C]0.185185[/C][C]0.018519[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]19[/C][C]0.117284[/C][C]0.302469[/C][C]0.023457[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]22[/C][C]0.135802[/C][C]0.438272[/C][C]0.02716[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]14[/C][C]0.08642[/C][C]0.524691[/C][C]0.017284[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]23[/C][C]0.141975[/C][C]0.666667[/C][C]0.028395[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]13[/C][C]0.080247[/C][C]0.746914[/C][C]0.016049[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]19[/C][C]0.117284[/C][C]0.864198[/C][C]0.023457[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]10[/C][C]0.061728[/C][C]0.925926[/C][C]0.012346[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]4[/C][C]0.024691[/C][C]0.950617[/C][C]0.004938[/C][/ROW]
[ROW][C][120,125][/C][C]122.5[/C][C]8[/C][C]0.049383[/C][C]1[/C][C]0.009877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=247381&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=247381&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
[60,65[62.540.0246910.0246910.004938
[65,70[67.530.0185190.043210.003704
[70,75[72.580.0493830.0925930.009877
[75,80[77.5150.0925930.1851850.018519
[80,85[82.5190.1172840.3024690.023457
[85,90[87.5220.1358020.4382720.02716
[90,95[92.5140.086420.5246910.017284
[95,100[97.5230.1419750.6666670.028395
[100,105[102.5130.0802470.7469140.016049
[105,110[107.5190.1172840.8641980.023457
[110,115[112.5100.0617280.9259260.012346
[115,120[117.540.0246910.9506170.004938
[120,125]122.580.04938310.009877


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')
}