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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 computationSun, 31 Oct 2010 11:43:28 +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/2010/Oct/31/t1288525344fj01y09bm3yn4lu.htm/, Retrieved Mon, 29 Apr 2024 16:00:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90500, Retrieved Mon, 29 Apr 2024 16:00:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
- RMP     [Histogram] [Workshop 4 part 2 q2] [2010-10-31 11:43:28] [c52f616cc59ab01e55ce1a10b5754887] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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4.3076653355456E-14
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0.0038240964384433
0.0094967475372392
0.0062814276885823
-2.1316282072803E-14
-0.0062814276886214
-1.7763568394003E-14
-1.7763568394003E-14
-1.7763568394003E-14
0.0062814276885823
-2.1316282072803E-14
-2.1316282072803E-14
-0.0062814276886214
-1.7763568394003E-14

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90500&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90500&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-0.015,-0.01[-0.012530.0047620.0047620.952381
[-0.01,-0.005[-0.0075620.0984130.10317519.68254
[-0.005,0[-0.002530.0047620.1079370.952381
[0,0.005[0.00254690.7444440.852381148.888889
[0.005,0.01[0.0075730.1158730.96825423.174603
[0.01,0.015[0.012590.0142860.982542.857143
[0.015,0.02[0.017520.0031750.9857140.634921
[0.02,0.025[0.022520.0031750.9888890.634921
[0.025,0.03[0.027540.0063490.9952381.269841
[0.03,0.035[0.032520.0031750.9984130.634921
[0.035,0.04]0.037510.00158710.31746

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-0.015,-0.01[ & -0.0125 & 3 & 0.004762 & 0.004762 & 0.952381 \tabularnewline
[-0.01,-0.005[ & -0.0075 & 62 & 0.098413 & 0.103175 & 19.68254 \tabularnewline
[-0.005,0[ & -0.0025 & 3 & 0.004762 & 0.107937 & 0.952381 \tabularnewline
[0,0.005[ & 0.0025 & 469 & 0.744444 & 0.852381 & 148.888889 \tabularnewline
[0.005,0.01[ & 0.0075 & 73 & 0.115873 & 0.968254 & 23.174603 \tabularnewline
[0.01,0.015[ & 0.0125 & 9 & 0.014286 & 0.98254 & 2.857143 \tabularnewline
[0.015,0.02[ & 0.0175 & 2 & 0.003175 & 0.985714 & 0.634921 \tabularnewline
[0.02,0.025[ & 0.0225 & 2 & 0.003175 & 0.988889 & 0.634921 \tabularnewline
[0.025,0.03[ & 0.0275 & 4 & 0.006349 & 0.995238 & 1.269841 \tabularnewline
[0.03,0.035[ & 0.0325 & 2 & 0.003175 & 0.998413 & 0.634921 \tabularnewline
[0.035,0.04] & 0.0375 & 1 & 0.001587 & 1 & 0.31746 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90500&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][-0.015,-0.01[[/C][C]-0.0125[/C][C]3[/C][C]0.004762[/C][C]0.004762[/C][C]0.952381[/C][/ROW]
[ROW][C][-0.01,-0.005[[/C][C]-0.0075[/C][C]62[/C][C]0.098413[/C][C]0.103175[/C][C]19.68254[/C][/ROW]
[ROW][C][-0.005,0[[/C][C]-0.0025[/C][C]3[/C][C]0.004762[/C][C]0.107937[/C][C]0.952381[/C][/ROW]
[ROW][C][0,0.005[[/C][C]0.0025[/C][C]469[/C][C]0.744444[/C][C]0.852381[/C][C]148.888889[/C][/ROW]
[ROW][C][0.005,0.01[[/C][C]0.0075[/C][C]73[/C][C]0.115873[/C][C]0.968254[/C][C]23.174603[/C][/ROW]
[ROW][C][0.01,0.015[[/C][C]0.0125[/C][C]9[/C][C]0.014286[/C][C]0.98254[/C][C]2.857143[/C][/ROW]
[ROW][C][0.015,0.02[[/C][C]0.0175[/C][C]2[/C][C]0.003175[/C][C]0.985714[/C][C]0.634921[/C][/ROW]
[ROW][C][0.02,0.025[[/C][C]0.0225[/C][C]2[/C][C]0.003175[/C][C]0.988889[/C][C]0.634921[/C][/ROW]
[ROW][C][0.025,0.03[[/C][C]0.0275[/C][C]4[/C][C]0.006349[/C][C]0.995238[/C][C]1.269841[/C][/ROW]
[ROW][C][0.03,0.035[[/C][C]0.0325[/C][C]2[/C][C]0.003175[/C][C]0.998413[/C][C]0.634921[/C][/ROW]
[ROW][C][0.035,0.04][/C][C]0.0375[/C][C]1[/C][C]0.001587[/C][C]1[/C][C]0.31746[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90500&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
[-0.015,-0.01[-0.012530.0047620.0047620.952381
[-0.01,-0.005[-0.0075620.0984130.10317519.68254
[-0.005,0[-0.002530.0047620.1079370.952381
[0,0.005[0.00254690.7444440.852381148.888889
[0.005,0.01[0.0075730.1158730.96825423.174603
[0.01,0.015[0.012590.0142860.982542.857143
[0.015,0.02[0.017520.0031750.9857140.634921
[0.02,0.025[0.022520.0031750.9888890.634921
[0.025,0.03[0.027540.0063490.9952381.269841
[0.03,0.035[0.032520.0031750.9984130.634921
[0.035,0.04]0.037510.00158710.31746


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')
}