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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 28 Sep 2014 12:11:22 +0100
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/Sep/28/t14119027692ssv8sp7upf3njz.htm/, Retrieved Sun, 12 May 2024 13:58:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236672, Retrieved Sun, 12 May 2024 13:58:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-09-20 20:13:42] [c7805096c758d9a12d6ad8d2910c4769]
- RMP     [Histogram] [] [2014-09-28 11:11:22] [2f27692a17e58baa8638275162e45e6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107
100
102
130
136
133
120
112
109
110
106
102
98
92
92
120
127
124
114
108
106
111
110
104
100
96
98
122
134
133
125
118
116
118
116
111
108
102
102
129
136
137
126
119
117

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'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=236672&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=236672&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236672&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[80,85[82.510.0138890.0138890.002778
[85,90[87.510.0138890.0277780.002778
[90,95[92.530.0416670.0694440.008333
[95,100[97.550.0694440.1388890.013889
[100,105[102.590.1250.2638890.025
[105,110[107.5140.1944440.4583330.038889
[110,115[112.570.0972220.5555560.019444
[115,120[117.5100.1388890.6944440.027778
[120,125[122.580.1111110.8055560.022222
[125,130[127.540.0555560.8611110.011111
[130,135[132.550.0694440.9305560.013889
[135,140]137.550.06944410.013889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,85[ & 82.5 & 1 & 0.013889 & 0.013889 & 0.002778 \tabularnewline
[85,90[ & 87.5 & 1 & 0.013889 & 0.027778 & 0.002778 \tabularnewline
[90,95[ & 92.5 & 3 & 0.041667 & 0.069444 & 0.008333 \tabularnewline
[95,100[ & 97.5 & 5 & 0.069444 & 0.138889 & 0.013889 \tabularnewline
[100,105[ & 102.5 & 9 & 0.125 & 0.263889 & 0.025 \tabularnewline
[105,110[ & 107.5 & 14 & 0.194444 & 0.458333 & 0.038889 \tabularnewline
[110,115[ & 112.5 & 7 & 0.097222 & 0.555556 & 0.019444 \tabularnewline
[115,120[ & 117.5 & 10 & 0.138889 & 0.694444 & 0.027778 \tabularnewline
[120,125[ & 122.5 & 8 & 0.111111 & 0.805556 & 0.022222 \tabularnewline
[125,130[ & 127.5 & 4 & 0.055556 & 0.861111 & 0.011111 \tabularnewline
[130,135[ & 132.5 & 5 & 0.069444 & 0.930556 & 0.013889 \tabularnewline
[135,140] & 137.5 & 5 & 0.069444 & 1 & 0.013889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236672&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][80,85[[/C][C]82.5[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.002778[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.002778[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]3[/C][C]0.041667[/C][C]0.069444[/C][C]0.008333[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]5[/C][C]0.069444[/C][C]0.138889[/C][C]0.013889[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]9[/C][C]0.125[/C][C]0.263889[/C][C]0.025[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]14[/C][C]0.194444[/C][C]0.458333[/C][C]0.038889[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]7[/C][C]0.097222[/C][C]0.555556[/C][C]0.019444[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]10[/C][C]0.138889[/C][C]0.694444[/C][C]0.027778[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]8[/C][C]0.111111[/C][C]0.805556[/C][C]0.022222[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]4[/C][C]0.055556[/C][C]0.861111[/C][C]0.011111[/C][/ROW]
[ROW][C][130,135[[/C][C]132.5[/C][C]5[/C][C]0.069444[/C][C]0.930556[/C][C]0.013889[/C][/ROW]
[ROW][C][135,140][/C][C]137.5[/C][C]5[/C][C]0.069444[/C][C]1[/C][C]0.013889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236672&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236672&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
[80,85[82.510.0138890.0138890.002778
[85,90[87.510.0138890.0277780.002778
[90,95[92.530.0416670.0694440.008333
[95,100[97.550.0694440.1388890.013889
[100,105[102.590.1250.2638890.025
[105,110[107.5140.1944440.4583330.038889
[110,115[112.570.0972220.5555560.019444
[115,120[117.5100.1388890.6944440.027778
[120,125[122.580.1111110.8055560.022222
[125,130[127.540.0555560.8611110.011111
[130,135[132.550.0694440.9305560.013889
[135,140]137.550.06944410.013889


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):
par4 <- 'Unknown'
par3 <- 'FALSE'
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')
}