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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 computationFri, 26 Nov 2010 14:57:00 +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/Nov/26/t129078338012tvfhva9v21fjp.htm/, Retrieved Sat, 04 May 2024 08:50:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101961, Retrieved Sat, 04 May 2024 08:50:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWorkshop 3
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Minitutorial Hist...] [2010-11-26 14:57:00] [f76239c595e4d455b3b05a43389f68d5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
3
1
1
0
1
-1
2
2
0
1
1
3
3
1
1
-2
1
1
-1
-4
-2
-1
-5
-4
-5
0
-2
-4
-6
-2
-2
-2
1
-2
0
-1
2
3
2
3
4
5
5
4
5
6
4
6
6
3
5
5
5
3
5
5
6
6
5
4

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101961&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101961&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-6,-5[-5.510.0163930.0163930.016393
[-5,-4[-4.520.0327870.049180.032787
[-4,-3[-3.530.049180.0983610.04918
[-3,-2[-2.5000.0983610
[-2,-1[-1.570.1147540.2131150.114754
[-1,0[-0.540.0655740.2786890.065574
[0,1[0.540.0655740.3442620.065574
[1,2[1.5100.1639340.5081970.163934
[2,3[2.550.0819670.5901640.081967
[3,4[3.570.1147540.7049180.114754
[4,5[4.540.0655740.7704920.065574
[5,6]5.5140.22950810.229508

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-6,-5[ & -5.5 & 1 & 0.016393 & 0.016393 & 0.016393 \tabularnewline
[-5,-4[ & -4.5 & 2 & 0.032787 & 0.04918 & 0.032787 \tabularnewline
[-4,-3[ & -3.5 & 3 & 0.04918 & 0.098361 & 0.04918 \tabularnewline
[-3,-2[ & -2.5 & 0 & 0 & 0.098361 & 0 \tabularnewline
[-2,-1[ & -1.5 & 7 & 0.114754 & 0.213115 & 0.114754 \tabularnewline
[-1,0[ & -0.5 & 4 & 0.065574 & 0.278689 & 0.065574 \tabularnewline
[0,1[ & 0.5 & 4 & 0.065574 & 0.344262 & 0.065574 \tabularnewline
[1,2[ & 1.5 & 10 & 0.163934 & 0.508197 & 0.163934 \tabularnewline
[2,3[ & 2.5 & 5 & 0.081967 & 0.590164 & 0.081967 \tabularnewline
[3,4[ & 3.5 & 7 & 0.114754 & 0.704918 & 0.114754 \tabularnewline
[4,5[ & 4.5 & 4 & 0.065574 & 0.770492 & 0.065574 \tabularnewline
[5,6] & 5.5 & 14 & 0.229508 & 1 & 0.229508 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101961&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][-6,-5[[/C][C]-5.5[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]0.016393[/C][/ROW]
[ROW][C][-5,-4[[/C][C]-4.5[/C][C]2[/C][C]0.032787[/C][C]0.04918[/C][C]0.032787[/C][/ROW]
[ROW][C][-4,-3[[/C][C]-3.5[/C][C]3[/C][C]0.04918[/C][C]0.098361[/C][C]0.04918[/C][/ROW]
[ROW][C][-3,-2[[/C][C]-2.5[/C][C]0[/C][C]0[/C][C]0.098361[/C][C]0[/C][/ROW]
[ROW][C][-2,-1[[/C][C]-1.5[/C][C]7[/C][C]0.114754[/C][C]0.213115[/C][C]0.114754[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]4[/C][C]0.065574[/C][C]0.278689[/C][C]0.065574[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]4[/C][C]0.065574[/C][C]0.344262[/C][C]0.065574[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]10[/C][C]0.163934[/C][C]0.508197[/C][C]0.163934[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]5[/C][C]0.081967[/C][C]0.590164[/C][C]0.081967[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]7[/C][C]0.114754[/C][C]0.704918[/C][C]0.114754[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]4[/C][C]0.065574[/C][C]0.770492[/C][C]0.065574[/C][/ROW]
[ROW][C][5,6][/C][C]5.5[/C][C]14[/C][C]0.229508[/C][C]1[/C][C]0.229508[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101961&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
[-6,-5[-5.510.0163930.0163930.016393
[-5,-4[-4.520.0327870.049180.032787
[-4,-3[-3.530.049180.0983610.04918
[-3,-2[-2.5000.0983610
[-2,-1[-1.570.1147540.2131150.114754
[-1,0[-0.540.0655740.2786890.065574
[0,1[0.540.0655740.3442620.065574
[1,2[1.5100.1639340.5081970.163934
[2,3[2.550.0819670.5901640.081967
[3,4[3.570.1147540.7049180.114754
[4,5[4.540.0655740.7704920.065574
[5,6]5.5140.22950810.229508


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; 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')
}