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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, 13 Feb 2012 06:27:13 -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/Feb/13/t1329132496037tykudox1tblp.htm/, Retrieved Thu, 02 May 2024 14:44:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162177, Retrieved Thu, 02 May 2024 14:44:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Aantal levendgebo...] [2012-02-13 11:27:13] [e9055fb3c64f4ec827f818bb591f77b7] [Current]
- RM      [Histogram] [Aantal levendgebo...] [2012-02-13 12:04:24] [9669d4c29dd5f45cc8b66d2998a9c391]
- R P     [Histogram] [Aantal levendgebo...] [2012-02-13 12:19:03] [9669d4c29dd5f45cc8b66d2998a9c391]
- R P     [Histogram] [Aantal levendgebo...] [2012-02-13 12:21:54] [9669d4c29dd5f45cc8b66d2998a9c391]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.676
8.642
9.402
9.610
9.294
9.448
10.319
9.548
9.801
9.596
8.923
9.746
9.829
9.125
9.782
9.441
9.162
9.915
10.444
10.209
9.985
9.842
9.429
10.132
9.849
9.172
10.313
9.819
9.955
10.048
10.082
10.541
10.208
10.233
9.439
9.963
10.158
9.225
10.474
9.757
10.490
10.281
10.444
10.640
10.695
10.786
9.832
9.747
10.411
9.511
10.402
9.701
10.540
10.112
10.915
11.183
10.384
10.834
9.886
10.216
10.943
9.867
10.203
10.837
10.573
10.647
11.502
10.656
10.866
10.835
9.945
10.331
9.769
9.321
9.939
9.336
10.195
9.464
10.010
10.213
9.563
9.890
9.305
9.391
9.928
8.686
9.843
9.627
10.074
9.503
10.119
10.000
9.313
9.866
9.172
9.241

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162177&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162177&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'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[8.5,9[8.7530.031250.031250.0625
[9,9.5[9.25180.18750.218750.375
[9.5,10[9.75320.3333330.5520830.666667
[10,10.5[10.25270.281250.8333330.5625
[10.5,11[10.75140.1458330.9791670.291667
[11,11.5[11.2510.0104170.9895830.020833
[11.5,12]11.7510.01041710.020833

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8.5,9[ & 8.75 & 3 & 0.03125 & 0.03125 & 0.0625 \tabularnewline
[9,9.5[ & 9.25 & 18 & 0.1875 & 0.21875 & 0.375 \tabularnewline
[9.5,10[ & 9.75 & 32 & 0.333333 & 0.552083 & 0.666667 \tabularnewline
[10,10.5[ & 10.25 & 27 & 0.28125 & 0.833333 & 0.5625 \tabularnewline
[10.5,11[ & 10.75 & 14 & 0.145833 & 0.979167 & 0.291667 \tabularnewline
[11,11.5[ & 11.25 & 1 & 0.010417 & 0.989583 & 0.020833 \tabularnewline
[11.5,12] & 11.75 & 1 & 0.010417 & 1 & 0.020833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162177&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][8.5,9[[/C][C]8.75[/C][C]3[/C][C]0.03125[/C][C]0.03125[/C][C]0.0625[/C][/ROW]
[ROW][C][9,9.5[[/C][C]9.25[/C][C]18[/C][C]0.1875[/C][C]0.21875[/C][C]0.375[/C][/ROW]
[ROW][C][9.5,10[[/C][C]9.75[/C][C]32[/C][C]0.333333[/C][C]0.552083[/C][C]0.666667[/C][/ROW]
[ROW][C][10,10.5[[/C][C]10.25[/C][C]27[/C][C]0.28125[/C][C]0.833333[/C][C]0.5625[/C][/ROW]
[ROW][C][10.5,11[[/C][C]10.75[/C][C]14[/C][C]0.145833[/C][C]0.979167[/C][C]0.291667[/C][/ROW]
[ROW][C][11,11.5[[/C][C]11.25[/C][C]1[/C][C]0.010417[/C][C]0.989583[/C][C]0.020833[/C][/ROW]
[ROW][C][11.5,12][/C][C]11.75[/C][C]1[/C][C]0.010417[/C][C]1[/C][C]0.020833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162177&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
[8.5,9[8.7530.031250.031250.0625
[9,9.5[9.25180.18750.218750.375
[9.5,10[9.75320.3333330.5520830.666667
[10,10.5[10.25270.281250.8333330.5625
[10.5,11[10.75140.1458330.9791670.291667
[11,11.5[11.2510.0104170.9895830.020833
[11.5,12]11.7510.01041710.020833


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')
}