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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 computationTue, 05 Oct 2010 16:10:19 +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/2010/Oct/05/t12862949467p6lrflvl55q8za.htm/, Retrieved Sun, 28 Apr 2024 03:46:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81480, Retrieved Sun, 28 Apr 2024 03:46:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact97

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2010-10-05 16:10:19] [9c46b2659272a99de8fec46bf5966107] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,6
100,1
98,8
98,3
102,8
103,6
105,2
100,1
98,2
98,4
97,4
98,4
100,3
101,1
104,1
107,3
110,1
112,6
114,3
115,3
109,9
108,2
103,2
101,8
105,6
108,2
109,8
114,6
117,2
116,5
116,1
112,1
106,8
106,9
104,5
103
105,9
107,7
107,1
112,5
114,5
114,6
113,1
112,8
111,9
112
112,4
110
112,3
109,6
111,9
110,8
110,4
110,8
114
108,4
110,5
105,1
102,3
104,3
103,4
102,4
104,5
107,3
110,1
111,8
111,8
105,7
106
106,4
107,1
111,5
109,6
109,9
109,3
111,4
112,9
115,5
118,4
116,2
113,3
113,8
114,1
117,1
115,5
115,2
114,2
115,3
118,8
118
118,1
111,8
112
114,3
115
118,5
117,6
119,1
120,6
123,6
122,7
123,8
123,1
124,5
120,7
118,7
119
122,3
118,6
118,1
118,2
120,8
119,7
119,7
117,1
114,5
116,5
116,4
114,9
115,5

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'George Udny Yule' @ 72.249.76.132
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81480&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81480&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81480&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'George Udny Yule' @ 72.249.76.132
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[95,100[97.570.0583330.0583330.011667
[100,105[102.5160.1333330.1916670.026667
[105,110[107.5230.1916670.3833330.038333
[110,115[112.5360.30.6833330.06
[115,120[117.5290.2416670.9250.048333
[120,125]122.590.07510.015

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[95,100[ & 97.5 & 7 & 0.058333 & 0.058333 & 0.011667 \tabularnewline
[100,105[ & 102.5 & 16 & 0.133333 & 0.191667 & 0.026667 \tabularnewline
[105,110[ & 107.5 & 23 & 0.191667 & 0.383333 & 0.038333 \tabularnewline
[110,115[ & 112.5 & 36 & 0.3 & 0.683333 & 0.06 \tabularnewline
[115,120[ & 117.5 & 29 & 0.241667 & 0.925 & 0.048333 \tabularnewline
[120,125] & 122.5 & 9 & 0.075 & 1 & 0.015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81480&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][95,100[[/C][C]97.5[/C][C]7[/C][C]0.058333[/C][C]0.058333[/C][C]0.011667[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]16[/C][C]0.133333[/C][C]0.191667[/C][C]0.026667[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]23[/C][C]0.191667[/C][C]0.383333[/C][C]0.038333[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]36[/C][C]0.3[/C][C]0.683333[/C][C]0.06[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]29[/C][C]0.241667[/C][C]0.925[/C][C]0.048333[/C][/ROW]
[ROW][C][120,125][/C][C]122.5[/C][C]9[/C][C]0.075[/C][C]1[/C][C]0.015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81480&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81480&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
[95,100[97.570.0583330.0583330.011667
[100,105[102.5160.1333330.1916670.026667
[105,110[107.5230.1916670.3833330.038333
[110,115[112.5360.30.6833330.06
[115,120[117.5290.2416670.9250.048333
[120,125]122.590.07510.015


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')
}