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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 computationSat, 22 Dec 2012 11:43:56 -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/Dec/22/t13561952594du4st13p3lek8a.htm/, Retrieved Tue, 23 Apr 2024 09:42:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204561, Retrieved Tue, 23 Apr 2024 09:42:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [Workshop 5 Questi...] [2010-11-18 19:47:57] [2805bc4d0d3810b6cd96238758e5985d]
-   PD  [Two-Way ANOVA] [] [2011-10-27 17:11:54] [2805bc4d0d3810b6cd96238758e5985d]
- R       [Two-Way ANOVA] [] [2011-12-22 15:11:48] [2805bc4d0d3810b6cd96238758e5985d]
- RMPD        [Histogram] [histogram paper] [2012-12-22 16:43:56] [04b4f93d77ad48b80a96306d43249fd5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7
5
6
4
5
6
7
6
6
6
5
5
4
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6
5
3
7
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6
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7
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7
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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' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204561&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204561&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' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.5,1.5[110.0061730.0061730.006173
[1.5,2.5[240.0246910.0308640.024691
[2.5,3.5[3100.0617280.0925930.061728
[3.5,4.5[4290.1790120.2716050.179012
[4.5,5.5[5550.3395060.6111110.339506
[5.5,6.5[6480.2962960.9074070.296296
[6.5,7.5]7150.09259310.092593

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.5,1.5[ & 1 & 1 & 0.006173 & 0.006173 & 0.006173 \tabularnewline
[1.5,2.5[ & 2 & 4 & 0.024691 & 0.030864 & 0.024691 \tabularnewline
[2.5,3.5[ & 3 & 10 & 0.061728 & 0.092593 & 0.061728 \tabularnewline
[3.5,4.5[ & 4 & 29 & 0.179012 & 0.271605 & 0.179012 \tabularnewline
[4.5,5.5[ & 5 & 55 & 0.339506 & 0.611111 & 0.339506 \tabularnewline
[5.5,6.5[ & 6 & 48 & 0.296296 & 0.907407 & 0.296296 \tabularnewline
[6.5,7.5] & 7 & 15 & 0.092593 & 1 & 0.092593 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204561&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][0.5,1.5[[/C][C]1[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.006173[/C][/ROW]
[ROW][C][1.5,2.5[[/C][C]2[/C][C]4[/C][C]0.024691[/C][C]0.030864[/C][C]0.024691[/C][/ROW]
[ROW][C][2.5,3.5[[/C][C]3[/C][C]10[/C][C]0.061728[/C][C]0.092593[/C][C]0.061728[/C][/ROW]
[ROW][C][3.5,4.5[[/C][C]4[/C][C]29[/C][C]0.179012[/C][C]0.271605[/C][C]0.179012[/C][/ROW]
[ROW][C][4.5,5.5[[/C][C]5[/C][C]55[/C][C]0.339506[/C][C]0.611111[/C][C]0.339506[/C][/ROW]
[ROW][C][5.5,6.5[[/C][C]6[/C][C]48[/C][C]0.296296[/C][C]0.907407[/C][C]0.296296[/C][/ROW]
[ROW][C][6.5,7.5][/C][C]7[/C][C]15[/C][C]0.092593[/C][C]1[/C][C]0.092593[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204561&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
[0.5,1.5[110.0061730.0061730.006173
[1.5,2.5[240.0246910.0308640.024691
[2.5,3.5[3100.0617280.0925930.061728
[3.5,4.5[4290.1790120.2716050.179012
[4.5,5.5[5550.3395060.6111110.339506
[5.5,6.5[6480.2962960.9074070.296296
[6.5,7.5]7150.09259310.092593


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = 7-point Likert ;
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')
}