Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Module--
Title produced by softwareHistogram
Date of computationFri, 28 Sep 2012 04:11:24 -0400
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/Sep/28/t1348819929vw8r9qtd0ly4uhl.htm/, Retrieved Sat, 04 May 2024 07:20:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170176, Retrieved Sat, 04 May 2024 07:20:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-09-23 15:09:00] [9b490dd2ab715f1b5bf65aa31d98df3d]
- RM      [Histogram] [] [2012-09-28 08:11:24] [a59a9806667ef8d06934d0dd348596a1] [Current]
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Dataseries X:
106
108
114
124
127
120
92
92
98
102
106
110
109
112
120
133
136
130
102
100
107
113
118
121
121
118
124
135
137
131
103
99
107
108
109
109
107
105
109
117
120
116
87
84
93
95
101
105
105
106
115
124
130
124
93
95
102
105
111
117
116
123
134
149
150
144
112
111
114
117
123
125
132
137
147
157
157
149




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=170176&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=170176&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170176&T=0

As an alternative you can also use a 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
[80,90[8520.0256410.0256410.002564
[90,100[9580.1025640.1282050.010256
[100,110[105220.2820510.4102560.028205
[110,120[115160.2051280.6153850.020513
[120,130[125130.1666670.7820510.016667
[130,140[135100.1282050.9102560.012821
[140,150[14540.0512820.9615380.005128
[150,160]15530.03846210.003846

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,90[ & 85 & 2 & 0.025641 & 0.025641 & 0.002564 \tabularnewline
[90,100[ & 95 & 8 & 0.102564 & 0.128205 & 0.010256 \tabularnewline
[100,110[ & 105 & 22 & 0.282051 & 0.410256 & 0.028205 \tabularnewline
[110,120[ & 115 & 16 & 0.205128 & 0.615385 & 0.020513 \tabularnewline
[120,130[ & 125 & 13 & 0.166667 & 0.782051 & 0.016667 \tabularnewline
[130,140[ & 135 & 10 & 0.128205 & 0.910256 & 0.012821 \tabularnewline
[140,150[ & 145 & 4 & 0.051282 & 0.961538 & 0.005128 \tabularnewline
[150,160] & 155 & 3 & 0.038462 & 1 & 0.003846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170176&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][80,90[[/C][C]85[/C][C]2[/C][C]0.025641[/C][C]0.025641[/C][C]0.002564[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]8[/C][C]0.102564[/C][C]0.128205[/C][C]0.010256[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]22[/C][C]0.282051[/C][C]0.410256[/C][C]0.028205[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]16[/C][C]0.205128[/C][C]0.615385[/C][C]0.020513[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]13[/C][C]0.166667[/C][C]0.782051[/C][C]0.016667[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]10[/C][C]0.128205[/C][C]0.910256[/C][C]0.012821[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]4[/C][C]0.051282[/C][C]0.961538[/C][C]0.005128[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]3[/C][C]0.038462[/C][C]1[/C][C]0.003846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170176&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170176&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[80,90[8520.0256410.0256410.002564
[90,100[9580.1025640.1282050.010256
[100,110[105220.2820510.4102560.028205
[110,120[115160.2051280.6153850.020513
[120,130[125130.1666670.7820510.016667
[130,140[135100.1282050.9102560.012821
[140,150[14540.0512820.9615380.005128
[150,160]15530.03846210.003846



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')
}