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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 computationTue, 24 Sep 2013 15:05:59 -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/2013/Sep/24/t1380049586twilhfqmsat3kto.htm/, Retrieved Tue, 30 Apr 2024 11:56:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211885, Retrieved Tue, 30 Apr 2024 11:56:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-09-24 19:05:59] [ba1aac5cc07b687ee7a9bc35c791a1eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,7
3
-0,3
1,1
1,7
1,6
3
3,3
6,7
5,6
6
4,8
5,9
4,3
3,7
5,6
1,7
3,2
3,6
1,7
0,5
2,1
1,5
2,7
1,4
1,2
2,3
1,6
4,7
3,5
4,4
3,9
3,5
3
1,6
2,2
4,1
4,3
3,5
1,8
0,6
-0,4
-2,5
-1,6
-1,9
-1,6
-0,7
-1,1
0,3
1,3
3,3
2,4
2
3,9
4,2
4,9
5,8
4,8
4,4
5,3
2,1
2
-0,9
0,1
-0,5
-0,1
0,7
-0,4
-1,5
-0,3
1
0,4
0,3
1,8
3
2,2
3,4
3,4
3,1
4,5
4,6
5,7
4,3
4,5

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211885&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211885&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'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-3,-2[-2.510.0119050.0119050.011905
[-2,-1[-1.550.0595240.0714290.059524
[-1,0[-0.580.0952380.1666670.095238
[0,1[0.570.0833330.250.083333
[1,2[1.5140.1666670.4166670.166667
[2,3[2.5100.1190480.5357140.119048
[3,4[3.5170.2023810.7380950.202381
[4,5[4.5140.1666670.9047620.166667
[5,6[5.560.0714290.976190.071429
[6,7]6.520.0238110.02381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-3,-2[ & -2.5 & 1 & 0.011905 & 0.011905 & 0.011905 \tabularnewline
[-2,-1[ & -1.5 & 5 & 0.059524 & 0.071429 & 0.059524 \tabularnewline
[-1,0[ & -0.5 & 8 & 0.095238 & 0.166667 & 0.095238 \tabularnewline
[0,1[ & 0.5 & 7 & 0.083333 & 0.25 & 0.083333 \tabularnewline
[1,2[ & 1.5 & 14 & 0.166667 & 0.416667 & 0.166667 \tabularnewline
[2,3[ & 2.5 & 10 & 0.119048 & 0.535714 & 0.119048 \tabularnewline
[3,4[ & 3.5 & 17 & 0.202381 & 0.738095 & 0.202381 \tabularnewline
[4,5[ & 4.5 & 14 & 0.166667 & 0.904762 & 0.166667 \tabularnewline
[5,6[ & 5.5 & 6 & 0.071429 & 0.97619 & 0.071429 \tabularnewline
[6,7] & 6.5 & 2 & 0.02381 & 1 & 0.02381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211885&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][-3,-2[[/C][C]-2.5[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.011905[/C][/ROW]
[ROW][C][-2,-1[[/C][C]-1.5[/C][C]5[/C][C]0.059524[/C][C]0.071429[/C][C]0.059524[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]8[/C][C]0.095238[/C][C]0.166667[/C][C]0.095238[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]7[/C][C]0.083333[/C][C]0.25[/C][C]0.083333[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]14[/C][C]0.166667[/C][C]0.416667[/C][C]0.166667[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]10[/C][C]0.119048[/C][C]0.535714[/C][C]0.119048[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]17[/C][C]0.202381[/C][C]0.738095[/C][C]0.202381[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]14[/C][C]0.166667[/C][C]0.904762[/C][C]0.166667[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]6[/C][C]0.071429[/C][C]0.97619[/C][C]0.071429[/C][/ROW]
[ROW][C][6,7][/C][C]6.5[/C][C]2[/C][C]0.02381[/C][C]1[/C][C]0.02381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211885&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
[-3,-2[-2.510.0119050.0119050.011905
[-2,-1[-1.550.0595240.0714290.059524
[-1,0[-0.580.0952380.1666670.095238
[0,1[0.570.0833330.250.083333
[1,2[1.5140.1666670.4166670.166667
[2,3[2.5100.1190480.5357140.119048
[3,4[3.5170.2023810.7380950.202381
[4,5[4.5140.1666670.9047620.166667
[5,6[5.560.0714290.976190.071429
[6,7]6.520.0238110.02381


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')
}