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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 computationWed, 17 Dec 2014 10:29:05 +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/17/t14188121588d0yqc5270tsfjk.htm/, Retrieved Thu, 16 May 2024 07:02:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270026, Retrieved Thu, 16 May 2024 07:02:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram males] [2014-12-17 10:29:05] [437e345ace789396cb5e4789e8064582] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
134
112
124
114
131
99
72
132
69
133
121
106
112
110
129
104
132
63
130
108
121
132
124
66
125
86
99
119
104
114
121
133
116
125
108
136
94
107
128
102
124
132
120
114
112
108
114
112
114
139
122
127
101
128
112
123
127
111
100
116
121
125
125
121
105
147
149
131
107
104
124
103
117
125
75
142
95
114
123
129
108
117
125
63
103
121
117
127
112
135
114
99
111
141
140
124
140
155
132
97
104
112
140
127
98
112
155
122
120
120

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270026&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270026&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270026&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'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,70[6540.0363640.0363640.003636
[70,80[7520.0181820.0545450.001818
[80,90[8510.0090910.0636360.000909
[90,100[9570.0636360.1272730.006364
[100,110[105170.1545450.2818180.015455
[110,120[115240.2181820.50.021818
[120,130[125320.2909090.7909090.029091
[130,140[135140.1272730.9181820.012727
[140,150[14570.0636360.9818180.006364
[150,160]15520.01818210.001818

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,70[ & 65 & 4 & 0.036364 & 0.036364 & 0.003636 \tabularnewline
[70,80[ & 75 & 2 & 0.018182 & 0.054545 & 0.001818 \tabularnewline
[80,90[ & 85 & 1 & 0.009091 & 0.063636 & 0.000909 \tabularnewline
[90,100[ & 95 & 7 & 0.063636 & 0.127273 & 0.006364 \tabularnewline
[100,110[ & 105 & 17 & 0.154545 & 0.281818 & 0.015455 \tabularnewline
[110,120[ & 115 & 24 & 0.218182 & 0.5 & 0.021818 \tabularnewline
[120,130[ & 125 & 32 & 0.290909 & 0.790909 & 0.029091 \tabularnewline
[130,140[ & 135 & 14 & 0.127273 & 0.918182 & 0.012727 \tabularnewline
[140,150[ & 145 & 7 & 0.063636 & 0.981818 & 0.006364 \tabularnewline
[150,160] & 155 & 2 & 0.018182 & 1 & 0.001818 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270026&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][60,70[[/C][C]65[/C][C]4[/C][C]0.036364[/C][C]0.036364[/C][C]0.003636[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]2[/C][C]0.018182[/C][C]0.054545[/C][C]0.001818[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]1[/C][C]0.009091[/C][C]0.063636[/C][C]0.000909[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]7[/C][C]0.063636[/C][C]0.127273[/C][C]0.006364[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]17[/C][C]0.154545[/C][C]0.281818[/C][C]0.015455[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]24[/C][C]0.218182[/C][C]0.5[/C][C]0.021818[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]32[/C][C]0.290909[/C][C]0.790909[/C][C]0.029091[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]14[/C][C]0.127273[/C][C]0.918182[/C][C]0.012727[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]7[/C][C]0.063636[/C][C]0.981818[/C][C]0.006364[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]2[/C][C]0.018182[/C][C]1[/C][C]0.001818[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270026&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270026&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
[60,70[6540.0363640.0363640.003636
[70,80[7520.0181820.0545450.001818
[80,90[8510.0090910.0636360.000909
[90,100[9570.0636360.1272730.006364
[100,110[105170.1545450.2818180.015455
[110,120[115240.2181820.50.021818
[120,130[125320.2909090.7909090.029091
[130,140[135140.1272730.9181820.012727
[140,150[14570.0636360.9818180.006364
[150,160]15520.01818210.001818


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')
}