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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 computationWed, 24 Jul 2013 16:27:08 -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/Jul/24/t13746977275bxdhmeeq530juk.htm/, Retrieved Mon, 29 Apr 2024 06:05:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210816, Retrieved Mon, 29 Apr 2024 06:05:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [tu berlin lina1 k...] [2012-07-11 21:49:14] [74be16979710d4c4e7c6647856088456]
- R  D  [Histogram] [TU Berlin CoMa-Mo...] [2013-07-24 20:15:30] [74be16979710d4c4e7c6647856088456]
- R PD      [Histogram] [TU Berlin CoMa-Mo...] [2013-07-24 20:27:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5
3.7
5
5
1.3
4
3.7
5
3
2.3
4
3.7
4
3.7
3.3
4
3.7
5
1.7
3
3.7
4
5
2.3
2.3
3.3
5
2
4
2.3
5
5
2.3
3.3
3.3
3.3
3.7
2.7
5
2.7
2.7
4
3.7
4
5
1.3
5
4
3.7
2
1.7
3.7
3
5
1.7
2
5
5
3.3
3.7
3.7
1.3
5
4
2.3
2.7
3
3
5
4
1.7
3.7
3.7
5
3.3
3.3
4
2.3
3
3.3
3.3
1.7
3.3
3.3
3.7
5
3.7
3.3
4
3
3.7
3.7
1
5
5
3.7
2.3
2.7
5
5
2.3
2.7
2.7
3.3
3
3.7
3.3
3.7
2.7
5
3
2
5
2.7
3.3
1.7
5
5
3.3
2.3
3.7
3.7
5
5
2.7
5
2.3
3.7

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210816&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210816&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210816&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' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1,1.2[1.110.0078120.0078120.039063
[1.2,1.4[1.330.0234380.031250.117188
[1.4,1.6[1.5000.031250
[1.6,1.8[1.760.0468750.0781250.234375
[1.8,2[1.9000.0781250
[2,2.2[2.140.031250.1093750.15625
[2.2,2.4[2.3110.0859380.1953120.429688
[2.4,2.6[2.5000.1953120
[2.6,2.8[2.7100.0781250.2734380.390625
[2.8,3[2.9000.2734380
[3,3.2[3.190.0703120.343750.351562
[3.2,3.4[3.3170.1328120.4765620.664063
[3.4,3.6[3.5000.4765620
[3.6,3.8[3.7240.18750.6640620.9375
[3.8,4[3.9000.6640620
[4,4.2[4.1130.1015620.7656250.507812
[4.2,4.4[4.3000.7656250
[4.4,4.6[4.5000.7656250
[4.6,4.8[4.7000.7656250
[4.8,5]4.9300.23437511.171875

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.2[ & 1.1 & 1 & 0.007812 & 0.007812 & 0.039063 \tabularnewline
[1.2,1.4[ & 1.3 & 3 & 0.023438 & 0.03125 & 0.117188 \tabularnewline
[1.4,1.6[ & 1.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[1.6,1.8[ & 1.7 & 6 & 0.046875 & 0.078125 & 0.234375 \tabularnewline
[1.8,2[ & 1.9 & 0 & 0 & 0.078125 & 0 \tabularnewline
[2,2.2[ & 2.1 & 4 & 0.03125 & 0.109375 & 0.15625 \tabularnewline
[2.2,2.4[ & 2.3 & 11 & 0.085938 & 0.195312 & 0.429688 \tabularnewline
[2.4,2.6[ & 2.5 & 0 & 0 & 0.195312 & 0 \tabularnewline
[2.6,2.8[ & 2.7 & 10 & 0.078125 & 0.273438 & 0.390625 \tabularnewline
[2.8,3[ & 2.9 & 0 & 0 & 0.273438 & 0 \tabularnewline
[3,3.2[ & 3.1 & 9 & 0.070312 & 0.34375 & 0.351562 \tabularnewline
[3.2,3.4[ & 3.3 & 17 & 0.132812 & 0.476562 & 0.664063 \tabularnewline
[3.4,3.6[ & 3.5 & 0 & 0 & 0.476562 & 0 \tabularnewline
[3.6,3.8[ & 3.7 & 24 & 0.1875 & 0.664062 & 0.9375 \tabularnewline
[3.8,4[ & 3.9 & 0 & 0 & 0.664062 & 0 \tabularnewline
[4,4.2[ & 4.1 & 13 & 0.101562 & 0.765625 & 0.507812 \tabularnewline
[4.2,4.4[ & 4.3 & 0 & 0 & 0.765625 & 0 \tabularnewline
[4.4,4.6[ & 4.5 & 0 & 0 & 0.765625 & 0 \tabularnewline
[4.6,4.8[ & 4.7 & 0 & 0 & 0.765625 & 0 \tabularnewline
[4.8,5] & 4.9 & 30 & 0.234375 & 1 & 1.171875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210816&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][1,1.2[[/C][C]1.1[/C][C]1[/C][C]0.007812[/C][C]0.007812[/C][C]0.039063[/C][/ROW]
[ROW][C][1.2,1.4[[/C][C]1.3[/C][C]3[/C][C]0.023438[/C][C]0.03125[/C][C]0.117188[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]6[/C][C]0.046875[/C][C]0.078125[/C][C]0.234375[/C][/ROW]
[ROW][C][1.8,2[[/C][C]1.9[/C][C]0[/C][C]0[/C][C]0.078125[/C][C]0[/C][/ROW]
[ROW][C][2,2.2[[/C][C]2.1[/C][C]4[/C][C]0.03125[/C][C]0.109375[/C][C]0.15625[/C][/ROW]
[ROW][C][2.2,2.4[[/C][C]2.3[/C][C]11[/C][C]0.085938[/C][C]0.195312[/C][C]0.429688[/C][/ROW]
[ROW][C][2.4,2.6[[/C][C]2.5[/C][C]0[/C][C]0[/C][C]0.195312[/C][C]0[/C][/ROW]
[ROW][C][2.6,2.8[[/C][C]2.7[/C][C]10[/C][C]0.078125[/C][C]0.273438[/C][C]0.390625[/C][/ROW]
[ROW][C][2.8,3[[/C][C]2.9[/C][C]0[/C][C]0[/C][C]0.273438[/C][C]0[/C][/ROW]
[ROW][C][3,3.2[[/C][C]3.1[/C][C]9[/C][C]0.070312[/C][C]0.34375[/C][C]0.351562[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]17[/C][C]0.132812[/C][C]0.476562[/C][C]0.664063[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.476562[/C][C]0[/C][/ROW]
[ROW][C][3.6,3.8[[/C][C]3.7[/C][C]24[/C][C]0.1875[/C][C]0.664062[/C][C]0.9375[/C][/ROW]
[ROW][C][3.8,4[[/C][C]3.9[/C][C]0[/C][C]0[/C][C]0.664062[/C][C]0[/C][/ROW]
[ROW][C][4,4.2[[/C][C]4.1[/C][C]13[/C][C]0.101562[/C][C]0.765625[/C][C]0.507812[/C][/ROW]
[ROW][C][4.2,4.4[[/C][C]4.3[/C][C]0[/C][C]0[/C][C]0.765625[/C][C]0[/C][/ROW]
[ROW][C][4.4,4.6[[/C][C]4.5[/C][C]0[/C][C]0[/C][C]0.765625[/C][C]0[/C][/ROW]
[ROW][C][4.6,4.8[[/C][C]4.7[/C][C]0[/C][C]0[/C][C]0.765625[/C][C]0[/C][/ROW]
[ROW][C][4.8,5][/C][C]4.9[/C][C]30[/C][C]0.234375[/C][C]1[/C][C]1.171875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210816&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210816&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
[1,1.2[1.110.0078120.0078120.039063
[1.2,1.4[1.330.0234380.031250.117188
[1.4,1.6[1.5000.031250
[1.6,1.8[1.760.0468750.0781250.234375
[1.8,2[1.9000.0781250
[2,2.2[2.140.031250.1093750.15625
[2.2,2.4[2.3110.0859380.1953120.429688
[2.4,2.6[2.5000.1953120
[2.6,2.8[2.7100.0781250.2734380.390625
[2.8,3[2.9000.2734380
[3,3.2[3.190.0703120.343750.351562
[3.2,3.4[3.3170.1328120.4765620.664063
[3.4,3.6[3.5000.4765620
[3.6,3.8[3.7240.18750.6640620.9375
[3.8,4[3.9000.6640620
[4,4.2[4.1130.1015620.7656250.507812
[4.2,4.4[4.3000.7656250
[4.4,4.6[4.5000.7656250
[4.6,4.8[4.7000.7656250
[4.8,5]4.9300.23437511.171875


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 15 ; par2 = red ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 15 ; par2 = red ; 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')
}