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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 computationThu, 15 Nov 2012 09:34:58 -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/2012/Nov/15/t13529906183befdnzkvjnx9vx.htm/, Retrieved Thu, 02 May 2024 05:15:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=189690, Retrieved Thu, 02 May 2024 05:15:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram paper] [2012-11-15 14:34:58] [0147150632114142a3940e53d29550b4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
NA
NA
NA
102
NA
NA
112
NA
NA
NA
118
122
NA
NA
NA
106
NA
149
122
NA
86
NA
NA
117
NA
NA
NA
NA
97
NA
132
NA
NA
87
101
115
NA
109
159
NA
NA
NA
NA
131
120
NA
86
105
NA
100
NA
NA
NA
NA
132
NA
NA
NA
105
121
NA
NA
NA
120
NA
126
138
118
NA
NA
NA
130
103
NA
NA
NA
NA
129
150
88
125
NA
NA
NA
112
144
NA
NA
NA
NA
NA
127
NA
NA
NA
NA
117
NA
108
139
NA
97
NA
NA
115
NA
95
NA
NA
NA
NA
NA
NA
NA
NA
91
NA
NA
102
NA
NA
NA
NA
NA
NA
124
NA
NA
106
125
NA
130
79
108
136
NA
NA
108
139
NA
NA
NA
NA
110
NA
NA
114
118
120
108
NA
NA
NA
130
130
112
NA
NA
NA
NA
94
NA

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189690&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189690&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[70,80]7510.0061730.0061730.001587
]80,90]8540.0246910.0308640.006349
]90,100]9560.0370370.0679010.009524
]100,110]105140.086420.1543210.022222
]110,120]115140.086420.2407410.022222
]120,130]125130.0802470.3209880.020635
]130,140]13570.043210.3641980.011111
]140,150]14530.0185190.3827160.004762
]150,160]15510.0061730.3888890.001587

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70,80] & 75 & 1 & 0.006173 & 0.006173 & 0.001587 \tabularnewline
]80,90] & 85 & 4 & 0.024691 & 0.030864 & 0.006349 \tabularnewline
]90,100] & 95 & 6 & 0.037037 & 0.067901 & 0.009524 \tabularnewline
]100,110] & 105 & 14 & 0.08642 & 0.154321 & 0.022222 \tabularnewline
]110,120] & 115 & 14 & 0.08642 & 0.240741 & 0.022222 \tabularnewline
]120,130] & 125 & 13 & 0.080247 & 0.320988 & 0.020635 \tabularnewline
]130,140] & 135 & 7 & 0.04321 & 0.364198 & 0.011111 \tabularnewline
]140,150] & 145 & 3 & 0.018519 & 0.382716 & 0.004762 \tabularnewline
]150,160] & 155 & 1 & 0.006173 & 0.388889 & 0.001587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189690&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]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.001587[/C][/ROW]
[ROW][C]]80,90][/C][C]85[/C][C]4[/C][C]0.024691[/C][C]0.030864[/C][C]0.006349[/C][/ROW]
[ROW][C]]90,100][/C][C]95[/C][C]6[/C][C]0.037037[/C][C]0.067901[/C][C]0.009524[/C][/ROW]
[ROW][C]]100,110][/C][C]105[/C][C]14[/C][C]0.08642[/C][C]0.154321[/C][C]0.022222[/C][/ROW]
[ROW][C]]110,120][/C][C]115[/C][C]14[/C][C]0.08642[/C][C]0.240741[/C][C]0.022222[/C][/ROW]
[ROW][C]]120,130][/C][C]125[/C][C]13[/C][C]0.080247[/C][C]0.320988[/C][C]0.020635[/C][/ROW]
[ROW][C]]130,140][/C][C]135[/C][C]7[/C][C]0.04321[/C][C]0.364198[/C][C]0.011111[/C][/ROW]
[ROW][C]]140,150][/C][C]145[/C][C]3[/C][C]0.018519[/C][C]0.382716[/C][C]0.004762[/C][/ROW]
[ROW][C]]150,160][/C][C]155[/C][C]1[/C][C]0.006173[/C][C]0.388889[/C][C]0.001587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189690&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]7510.0061730.0061730.001587
]80,90]8540.0246910.0308640.006349
]90,100]9560.0370370.0679010.009524
]100,110]105140.086420.1543210.022222
]110,120]115140.086420.2407410.022222
]120,130]125130.0802470.3209880.020635
]130,140]13570.043210.3641980.011111
]140,150]14530.0185190.3827160.004762
]150,160]15510.0061730.3888890.001587


Figures (Output of Computation)

Input Parameters & R Code

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