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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, 20 Feb 2011 17:56:48 +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/2011/Feb/20/t1298224539t21sb00d2q8zcwn.htm/, Retrieved Wed, 15 May 2024 18:43:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118500, Retrieved Wed, 15 May 2024 18:43:05 +0000
QR Codes:

Original text written by user:Frequentietabel over de werkloosheidscijfers in de VS van de afgelopen jaren.
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact168

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] [Werkloosheid VS] [2011-02-13 19:45:36] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [frequentietabel: ...] [2011-02-20 17:56:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.7
5.6
5.8
5.6
5.6
5.6
5.5
5.4
5.4
5.5
5.4
5.4
5.3
5.4
5.2
5.2
5.1
5
5
4.9
5
5
5
4.9
4.7
4.8
4.7
4.7
4.6
4.6
4.7
4.7
4.5
4.4
4.5
4.4
4.6
4.5
4.4
4.5
4.4
4.6
4.7
4.6
4.7
4.7
4.7
5
5
4.8
5.1
4.9
5.4
5.6
5.8
6.1
6.2
6.6
6.8
7.3
7.8
8.2
8.6
8.9
9.4
9.5
9.5
9.7
9.8
10.1
9.9
9.9
9.7
9.7
9.7
9.8
9.6
9.6
9.5
9.6
9.6
9.7
9.8
9.4
9

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'RServer@AstonUniversity' @ vre.aston.ac.uk
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 & 1 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \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=118500&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/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=118500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118500&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'RServer@AstonUniversity' @ vre.aston.ac.uk
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
[4,5[4.5270.3176470.3176470.317647
[5,6[5.5280.3294120.6470590.329412
[6,7[6.540.0470590.6941180.047059
[7,8[7.520.0235290.7176470.023529
[8,9[8.530.0352940.7529410.035294
[9,10[9.5200.2352940.9882350.235294
[10,11]10.510.01176510.011765

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,5[ & 4.5 & 27 & 0.317647 & 0.317647 & 0.317647 \tabularnewline
[5,6[ & 5.5 & 28 & 0.329412 & 0.647059 & 0.329412 \tabularnewline
[6,7[ & 6.5 & 4 & 0.047059 & 0.694118 & 0.047059 \tabularnewline
[7,8[ & 7.5 & 2 & 0.023529 & 0.717647 & 0.023529 \tabularnewline
[8,9[ & 8.5 & 3 & 0.035294 & 0.752941 & 0.035294 \tabularnewline
[9,10[ & 9.5 & 20 & 0.235294 & 0.988235 & 0.235294 \tabularnewline
[10,11] & 10.5 & 1 & 0.011765 & 1 & 0.011765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118500&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][4,5[[/C][C]4.5[/C][C]27[/C][C]0.317647[/C][C]0.317647[/C][C]0.317647[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]28[/C][C]0.329412[/C][C]0.647059[/C][C]0.329412[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]4[/C][C]0.047059[/C][C]0.694118[/C][C]0.047059[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]2[/C][C]0.023529[/C][C]0.717647[/C][C]0.023529[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]3[/C][C]0.035294[/C][C]0.752941[/C][C]0.035294[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]20[/C][C]0.235294[/C][C]0.988235[/C][C]0.235294[/C][/ROW]
[ROW][C][10,11][/C][C]10.5[/C][C]1[/C][C]0.011765[/C][C]1[/C][C]0.011765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118500&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
[4,5[4.5270.3176470.3176470.317647
[5,6[5.5280.3294120.6470590.329412
[6,7[6.540.0470590.6941180.047059
[7,8[7.520.0235290.7176470.023529
[8,9[8.530.0352940.7529410.035294
[9,10[9.5200.2352940.9882350.235294
[10,11]10.510.01176510.011765


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')
}