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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, 20 Dec 2016 14:50:43 +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/20/t14822419992mjdvmjjjew7n8i.htm/, Retrieved Sun, 28 Apr 2024 05:25:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301673, Retrieved Sun, 28 Apr 2024 05:25:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram] [2016-12-20 13:50:43] [0fbc99f8be9cad246c7cf6558103ab95] [Current]
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Dataset

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

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=301673&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=301673&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301673&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
[0,1[0.5360.2130180.2130180.213018
[1,2[1.5500.2958580.5088760.295858
[2,3[2.5330.1952660.7041420.195266
[3,4[3.5210.124260.8284020.12426
[4,5[4.5120.0710060.8994080.071006
[5,6[5.540.0236690.9230770.023669
[6,7[6.570.041420.9644970.04142
[7,8[7.5000.9644970
[8,9]8.560.03550310.035503

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 36 & 0.213018 & 0.213018 & 0.213018 \tabularnewline
[1,2[ & 1.5 & 50 & 0.295858 & 0.508876 & 0.295858 \tabularnewline
[2,3[ & 2.5 & 33 & 0.195266 & 0.704142 & 0.195266 \tabularnewline
[3,4[ & 3.5 & 21 & 0.12426 & 0.828402 & 0.12426 \tabularnewline
[4,5[ & 4.5 & 12 & 0.071006 & 0.899408 & 0.071006 \tabularnewline
[5,6[ & 5.5 & 4 & 0.023669 & 0.923077 & 0.023669 \tabularnewline
[6,7[ & 6.5 & 7 & 0.04142 & 0.964497 & 0.04142 \tabularnewline
[7,8[ & 7.5 & 0 & 0 & 0.964497 & 0 \tabularnewline
[8,9] & 8.5 & 6 & 0.035503 & 1 & 0.035503 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301673&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][0,1[[/C][C]0.5[/C][C]36[/C][C]0.213018[/C][C]0.213018[/C][C]0.213018[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]50[/C][C]0.295858[/C][C]0.508876[/C][C]0.295858[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]33[/C][C]0.195266[/C][C]0.704142[/C][C]0.195266[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]21[/C][C]0.12426[/C][C]0.828402[/C][C]0.12426[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]12[/C][C]0.071006[/C][C]0.899408[/C][C]0.071006[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]4[/C][C]0.023669[/C][C]0.923077[/C][C]0.023669[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]7[/C][C]0.04142[/C][C]0.964497[/C][C]0.04142[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]0[/C][C]0[/C][C]0.964497[/C][C]0[/C][/ROW]
[ROW][C][8,9][/C][C]8.5[/C][C]6[/C][C]0.035503[/C][C]1[/C][C]0.035503[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301673&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301673&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
[0,1[0.5360.2130180.2130180.213018
[1,2[1.5500.2958580.5088760.295858
[2,3[2.5330.1952660.7041420.195266
[3,4[3.5210.124260.8284020.12426
[4,5[4.5120.0710060.8994080.071006
[5,6[5.540.0236690.9230770.023669
[6,7[6.570.041420.9644970.04142
[7,8[7.5000.9644970
[8,9]8.560.03550310.035503


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 {
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')
}