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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 16:43:11 -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/t13562126113jx6hu7utfxbx12.htm/, Retrieved Fri, 19 Apr 2024 23:46:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204620, Retrieved Fri, 19 Apr 2024 23:46:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Standard Deviation-Mean Plot] [Unemployment] [2010-11-29 10:34:47] [b98453cac15ba1066b407e146608df68]
- RMP     [ARIMA Backward Selection] [Unemployment] [2010-11-29 17:10:28] [b98453cac15ba1066b407e146608df68]
- RMPD        [Histogram] [histogram] [2012-12-22 21:43:11] [081b45eff66f9ee50ac0b17603ac2bbc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.0229880307959967
0.278439664212683
0.214776253107494
0.204708843256655
-0.0517577687089031
-0.320596288416998
-0.272402878623526
-0.231766333497631
-0.304560456117129
0.186972426563861
0.135263966115808
0.339365367712853
0.131670289948456
-0.276095874698097
0.0603457812816131
-0.213807209194737
-0.0678819428665521
-0.128154986599206
-0.23319021743902
-0.395065126908713
-0.173893414297138
0.0208186102747535
-0.0437918857502117
0.0504454747606821
-0.221076211699185
0.0916961112709848
0.263228114155631
0.257490056913535
0.62111209200697
0.246405883888872
0.630817230574024
0.575541929993828
0.661994430402931
0.782080225879709
0.496394308992335
0.723732072489225
0.572778058859264
0.478805751502218
0.353051540990384
0.0511748576258525
-0.0896173448620862
-0.361218723883353
-0.229175960949758
-0.442083135404132
-0.123230805794189
-0.206575861424036
-0.0867907189531886
-0.054261633053142
-0.257013907753785
-0.378996466777591
-0.471352715785107
-0.177850799262201
-0.186001656973008
-0.565708770812139
-0.151588620144252
-0.223505128304725
-0.235117834858457
-0.199470464270386
-0.549004163491896
-0.483516004410139

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=204620&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=204620&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204620&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
[-0.6,-0.4[-0.550.0833330.0833330.416667
[-0.4,-0.2[-0.3160.2666670.351.333333
[-0.2,0[-0.1140.2333330.5833331.166667
[0,0.2[0.180.1333330.7166670.666667
[0.2,0.4[0.380.1333330.850.666667
[0.4,0.6[0.540.0666670.9166670.333333
[0.6,0.8]0.750.08333310.416667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-0.6,-0.4[ & -0.5 & 5 & 0.083333 & 0.083333 & 0.416667 \tabularnewline
[-0.4,-0.2[ & -0.3 & 16 & 0.266667 & 0.35 & 1.333333 \tabularnewline
[-0.2,0[ & -0.1 & 14 & 0.233333 & 0.583333 & 1.166667 \tabularnewline
[0,0.2[ & 0.1 & 8 & 0.133333 & 0.716667 & 0.666667 \tabularnewline
[0.2,0.4[ & 0.3 & 8 & 0.133333 & 0.85 & 0.666667 \tabularnewline
[0.4,0.6[ & 0.5 & 4 & 0.066667 & 0.916667 & 0.333333 \tabularnewline
[0.6,0.8] & 0.7 & 5 & 0.083333 & 1 & 0.416667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204620&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][-0.6,-0.4[[/C][C]-0.5[/C][C]5[/C][C]0.083333[/C][C]0.083333[/C][C]0.416667[/C][/ROW]
[ROW][C][-0.4,-0.2[[/C][C]-0.3[/C][C]16[/C][C]0.266667[/C][C]0.35[/C][C]1.333333[/C][/ROW]
[ROW][C][-0.2,0[[/C][C]-0.1[/C][C]14[/C][C]0.233333[/C][C]0.583333[/C][C]1.166667[/C][/ROW]
[ROW][C][0,0.2[[/C][C]0.1[/C][C]8[/C][C]0.133333[/C][C]0.716667[/C][C]0.666667[/C][/ROW]
[ROW][C][0.2,0.4[[/C][C]0.3[/C][C]8[/C][C]0.133333[/C][C]0.85[/C][C]0.666667[/C][/ROW]
[ROW][C][0.4,0.6[[/C][C]0.5[/C][C]4[/C][C]0.066667[/C][C]0.916667[/C][C]0.333333[/C][/ROW]
[ROW][C][0.6,0.8][/C][C]0.7[/C][C]5[/C][C]0.083333[/C][C]1[/C][C]0.416667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204620&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204620&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
[-0.6,-0.4[-0.550.0833330.0833330.416667
[-0.4,-0.2[-0.3160.2666670.351.333333
[-0.2,0[-0.1140.2333330.5833331.166667
[0,0.2[0.180.1333330.7166670.666667
[0.2,0.4[0.380.1333330.850.666667
[0.4,0.6[0.540.0666670.9166670.333333
[0.6,0.8]0.750.08333310.416667


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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')
}