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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 computationTue, 06 Dec 2016 12:47:15 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/06/t148102529061gcylfb45w176l.htm/, Retrieved Sat, 04 May 2024 08:54:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297802, Retrieved Sat, 04 May 2024 08:54:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Gemiddelde tevred...] [2016-12-06 11:47:15] [2a3a89286ec83ecc146a1d371615e68b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
5
4
NA
NA
5
5
NA
NA
5
5
4
4
4
4
5
NA
NA
3
NA
5
NA
5
NA
NA
NA
4
4
4
4
3
4
5
NA
4
5
NA
3
2
5
NA
5
4
4
4
3
NA
4
3
NA
5
NA
NA
2
3
2
NA
5
4
NA
5
5
4
5
4
4
5
3
2
5
NA
NA
NA
NA
NA
4
5
3
2
5
NA
1
NA
5
NA
5
4
5
NA
5
5
NA
4
NA
4
NA
4
4
5
5
NA
NA
4
2
NA
NA
NA
NA
NA
4
NA
NA
NA
3
5
4
5
NA
5
3
4
3
NA
4
NA
4
5
NA
NA
NA
2
4
4
NA
2
NA
4
NA
4
5
4
NA
3
4
3
4
2
5
4
NA
NA
4
5
4
2
NA
5
NA
NA
5
4
5
3
NA
4
NA
4
NA
3

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297802&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297802&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297802&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1,1.5[1.2510.0059170.0059170.018349
[1.5,2[1.75000.0059170
[2,2.5[2.25100.0591720.0650890.183486
[2.5,3[2.75000.0650890
[3,3.5[3.25150.0887570.1538460.275229
[3.5,4[3.75000.1538460
[4,4.5[4.25450.2662720.4201180.825688
[4.5,5]4.75380.2248520.644970.697248

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.5[ & 1.25 & 1 & 0.005917 & 0.005917 & 0.018349 \tabularnewline
[1.5,2[ & 1.75 & 0 & 0 & 0.005917 & 0 \tabularnewline
[2,2.5[ & 2.25 & 10 & 0.059172 & 0.065089 & 0.183486 \tabularnewline
[2.5,3[ & 2.75 & 0 & 0 & 0.065089 & 0 \tabularnewline
[3,3.5[ & 3.25 & 15 & 0.088757 & 0.153846 & 0.275229 \tabularnewline
[3.5,4[ & 3.75 & 0 & 0 & 0.153846 & 0 \tabularnewline
[4,4.5[ & 4.25 & 45 & 0.266272 & 0.420118 & 0.825688 \tabularnewline
[4.5,5] & 4.75 & 38 & 0.224852 & 0.64497 & 0.697248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297802&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][1,1.5[[/C][C]1.25[/C][C]1[/C][C]0.005917[/C][C]0.005917[/C][C]0.018349[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]0[/C][C]0[/C][C]0.005917[/C][C]0[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]10[/C][C]0.059172[/C][C]0.065089[/C][C]0.183486[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]0[/C][C]0[/C][C]0.065089[/C][C]0[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]15[/C][C]0.088757[/C][C]0.153846[/C][C]0.275229[/C][/ROW]
[ROW][C][3.5,4[[/C][C]3.75[/C][C]0[/C][C]0[/C][C]0.153846[/C][C]0[/C][/ROW]
[ROW][C][4,4.5[[/C][C]4.25[/C][C]45[/C][C]0.266272[/C][C]0.420118[/C][C]0.825688[/C][/ROW]
[ROW][C][4.5,5][/C][C]4.75[/C][C]38[/C][C]0.224852[/C][C]0.64497[/C][C]0.697248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297802&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297802&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
[1,1.5[1.2510.0059170.0059170.018349
[1.5,2[1.75000.0059170
[2,2.5[2.25100.0591720.0650890.183486
[2.5,3[2.75000.0650890
[3,3.5[3.25150.0887570.1538460.275229
[3.5,4[3.75000.1538460
[4,4.5[4.25450.2662720.4201180.825688
[4.5,5]4.75380.2248520.644970.697248


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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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 {
barplot(mytab <- sort(table(x),T),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,'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')
}