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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 computationMon, 01 Oct 2012 08:49:13 -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/Oct/01/t13490958185n97dddjxt9cqo7.htm/, Retrieved Fri, 03 May 2024 00:23:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170715, Retrieved Fri, 03 May 2024 00:23:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-10-01 07:23:44] [936e698dc896c9d9232fac0e3b64582f]
- RMPD  [Univariate Data Series] [] [2012-10-01 12:28:07] [936e698dc896c9d9232fac0e3b64582f]
-   P     [Univariate Data Series] [] [2012-10-01 12:36:37] [936e698dc896c9d9232fac0e3b64582f]
- RMP         [Histogram] [] [2012-10-01 12:49:13] [62859712c843b354ac43f7004f4dfb59] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,25
2,25
2,45
2,5
2,5
2,64
2,75
2,93
3
3,17
3,25
3,39
3,5
3,5
3,65
3,75
3,75
3,9
4
4
4
4
4
4
4
4
4
4
4
4
4,18
4,25
4,25
3,97
3,42
2,75
2,31
2
1,66
1,31
1,09
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1,14
1,25
1,25
1,4
1,5
1,5
1,5
1,32
1,11

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=170715&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=170715&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170715&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
[1,1.5[1.25300.4166670.4166670.833333
[1.5,2[1.7540.0555560.4722220.111111
[2,2.5[2.2550.0694440.5416670.138889
[2.5,3[2.7560.0833330.6250.166667
[3,3.5[3.2550.0694440.6944440.138889
[3.5,4[3.7570.0972220.7916670.194444
[4,4.5]4.25150.20833310.416667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.5[ & 1.25 & 30 & 0.416667 & 0.416667 & 0.833333 \tabularnewline
[1.5,2[ & 1.75 & 4 & 0.055556 & 0.472222 & 0.111111 \tabularnewline
[2,2.5[ & 2.25 & 5 & 0.069444 & 0.541667 & 0.138889 \tabularnewline
[2.5,3[ & 2.75 & 6 & 0.083333 & 0.625 & 0.166667 \tabularnewline
[3,3.5[ & 3.25 & 5 & 0.069444 & 0.694444 & 0.138889 \tabularnewline
[3.5,4[ & 3.75 & 7 & 0.097222 & 0.791667 & 0.194444 \tabularnewline
[4,4.5] & 4.25 & 15 & 0.208333 & 1 & 0.416667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170715&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][1,1.5[[/C][C]1.25[/C][C]30[/C][C]0.416667[/C][C]0.416667[/C][C]0.833333[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]4[/C][C]0.055556[/C][C]0.472222[/C][C]0.111111[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]5[/C][C]0.069444[/C][C]0.541667[/C][C]0.138889[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]6[/C][C]0.083333[/C][C]0.625[/C][C]0.166667[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]5[/C][C]0.069444[/C][C]0.694444[/C][C]0.138889[/C][/ROW]
[ROW][C][3.5,4[[/C][C]3.75[/C][C]7[/C][C]0.097222[/C][C]0.791667[/C][C]0.194444[/C][/ROW]
[ROW][C][4,4.5][/C][C]4.25[/C][C]15[/C][C]0.208333[/C][C]1[/C][C]0.416667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170715&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170715&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
[1,1.5[1.25300.4166670.4166670.833333
[1.5,2[1.7540.0555560.4722220.111111
[2,2.5[2.2550.0694440.5416670.138889
[2.5,3[2.7560.0833330.6250.166667
[3,3.5[3.2550.0694440.6944440.138889
[3.5,4[3.7570.0972220.7916670.194444
[4,4.5]4.25150.20833310.416667


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')
}