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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 16:49:24 +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/t141443019222eo6wgvr4sypta.htm/, Retrieved Fri, 10 May 2024 05:17:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=247380, Retrieved Fri, 10 May 2024 05:17:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact46

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] [AMA] [2014-10-27 16:49:24] [179cc397bc7ba643a7ca8fd40ad387b9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81
91
96
85
74
78
71
72
87
72
90
87
89
110
95
72
70
79
92
93
97
75
88
105
82
89
114
81
73
82
110
93
114
91
97
97
68
72
81
102
62
102
84
75
102
62
100
82
78
106
88
85
97
114
105
100
72
106
78
80
88
62
93
87
109
91
110
98
99
95
97
88
72
102
95
93
90
80
75
109
75
72
77
93
72
91
95
111
105
90
105
90
92
95
75
92
100
82
102
104
98
95
114
93
110
104
91
79
97
102
77
105
95
104
75
82
91
105
71
89
79
113
82
102
82
92
82
86
108
74
87
97
102
75
82
72
88
97
85
62
95
95
72
92
91
97
78
95
91
95
88
92
97
104
113
113
82
90
91
95
102
92

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=247380&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=247380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=247380&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,65[62.540.0246910.0246910.004938
[65,70[67.510.0061730.0308640.001235
[70,75[72.5160.0987650.129630.019753
[75,80[77.5160.0987650.2283950.019753
[80,85[82.5160.0987650.327160.019753
[85,90[87.5170.1049380.4320990.020988
[90,95[92.5270.1666670.5987650.033333
[95,100[97.5260.1604940.7592590.032099
[100,105[102.5160.0987650.8580250.019753
[105,110[107.5110.0679010.9259260.01358
[110,115]112.5120.07407410.014815

\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 & 1 & 0.006173 & 0.030864 & 0.001235 \tabularnewline
[70,75[ & 72.5 & 16 & 0.098765 & 0.12963 & 0.019753 \tabularnewline
[75,80[ & 77.5 & 16 & 0.098765 & 0.228395 & 0.019753 \tabularnewline
[80,85[ & 82.5 & 16 & 0.098765 & 0.32716 & 0.019753 \tabularnewline
[85,90[ & 87.5 & 17 & 0.104938 & 0.432099 & 0.020988 \tabularnewline
[90,95[ & 92.5 & 27 & 0.166667 & 0.598765 & 0.033333 \tabularnewline
[95,100[ & 97.5 & 26 & 0.160494 & 0.759259 & 0.032099 \tabularnewline
[100,105[ & 102.5 & 16 & 0.098765 & 0.858025 & 0.019753 \tabularnewline
[105,110[ & 107.5 & 11 & 0.067901 & 0.925926 & 0.01358 \tabularnewline
[110,115] & 112.5 & 12 & 0.074074 & 1 & 0.014815 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=247380&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]1[/C][C]0.006173[/C][C]0.030864[/C][C]0.001235[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]16[/C][C]0.098765[/C][C]0.12963[/C][C]0.019753[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]16[/C][C]0.098765[/C][C]0.228395[/C][C]0.019753[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]16[/C][C]0.098765[/C][C]0.32716[/C][C]0.019753[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]17[/C][C]0.104938[/C][C]0.432099[/C][C]0.020988[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]27[/C][C]0.166667[/C][C]0.598765[/C][C]0.033333[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]26[/C][C]0.160494[/C][C]0.759259[/C][C]0.032099[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]16[/C][C]0.098765[/C][C]0.858025[/C][C]0.019753[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]11[/C][C]0.067901[/C][C]0.925926[/C][C]0.01358[/C][/ROW]
[ROW][C][110,115][/C][C]112.5[/C][C]12[/C][C]0.074074[/C][C]1[/C][C]0.014815[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=247380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=247380&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[67.510.0061730.0308640.001235
[70,75[72.5160.0987650.129630.019753
[75,80[77.5160.0987650.2283950.019753
[80,85[82.5160.0987650.327160.019753
[85,90[87.5170.1049380.4320990.020988
[90,95[92.5270.1666670.5987650.033333
[95,100[97.5260.1604940.7592590.032099
[100,105[102.5160.0987650.8580250.019753
[105,110[107.5110.0679010.9259260.01358
[110,115]112.5120.07407410.014815


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')
}