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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, 13 Dec 2011 15:11:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/13/t1323807113smmczv7v3lb021k.htm/, Retrieved Thu, 02 May 2024 21:49:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154686, Retrieved Thu, 02 May 2024 21:49:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
-   PD  [Histogram] [Histogram with ma...] [2010-10-04 14:39:18] [b98453cac15ba1066b407e146608df68]
- R PD      [Histogram] [Histo 5 bins doel...] [2011-12-13 20:11:14] [76a85a4cc6ea7903d92a0f5b9d2872d3] [Current]
-    D        [Histogram] [Histo 16 bins doe...] [2011-12-13 20:27:52] [22f8bc702946f784836540059d0d9516]
-               [Histogram] [Histo 3 bins doel...] [2011-12-13 20:30:08] [22f8bc702946f784836540059d0d9516]
-    D          [Histogram] [Histo 15 bins doe...] [2011-12-13 20:39:48] [22f8bc702946f784836540059d0d9516]
-                 [Histogram] [Histo 3 bins doel...] [2011-12-13 20:40:38] [22f8bc702946f784836540059d0d9516]
-    D            [Histogram] [Histo 15 bins doe...] [2011-12-13 20:49:47] [22f8bc702946f784836540059d0d9516]
-                   [Histogram] [Histo 3 bins doel...] [2011-12-13 20:50:34] [22f8bc702946f784836540059d0d9516]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
8
7
4
11
9
2
13
11
13
9
1
3
10
1
5
6
12
2
4
7
5
9
8
15
3
3
14
11
9
13
8
11
2
13
10
1
15
12
14
10
3
11
3
13
3
13
5
2
10
15
1
1
4
8
8
10
15
8
11
5
8
14
12
9
1
5
9
6
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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154686&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154686&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154686&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'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2[160.0857140.0857140.042857
[2,4[3110.1571430.2428570.078571
[4,6[580.1142860.3571430.057143
[6,8[750.0714290.4285710.035714
[8,10[9130.1857140.6142860.092857
[10,12[11110.1571430.7714290.078571
[12,14[1390.1285710.90.064286
[14,16]1570.110.05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2[ & 1 & 6 & 0.085714 & 0.085714 & 0.042857 \tabularnewline
[2,4[ & 3 & 11 & 0.157143 & 0.242857 & 0.078571 \tabularnewline
[4,6[ & 5 & 8 & 0.114286 & 0.357143 & 0.057143 \tabularnewline
[6,8[ & 7 & 5 & 0.071429 & 0.428571 & 0.035714 \tabularnewline
[8,10[ & 9 & 13 & 0.185714 & 0.614286 & 0.092857 \tabularnewline
[10,12[ & 11 & 11 & 0.157143 & 0.771429 & 0.078571 \tabularnewline
[12,14[ & 13 & 9 & 0.128571 & 0.9 & 0.064286 \tabularnewline
[14,16] & 15 & 7 & 0.1 & 1 & 0.05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154686&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][0,2[[/C][C]1[/C][C]6[/C][C]0.085714[/C][C]0.085714[/C][C]0.042857[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]11[/C][C]0.157143[/C][C]0.242857[/C][C]0.078571[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]8[/C][C]0.114286[/C][C]0.357143[/C][C]0.057143[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]5[/C][C]0.071429[/C][C]0.428571[/C][C]0.035714[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]13[/C][C]0.185714[/C][C]0.614286[/C][C]0.092857[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]11[/C][C]0.157143[/C][C]0.771429[/C][C]0.078571[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]9[/C][C]0.128571[/C][C]0.9[/C][C]0.064286[/C][/ROW]
[ROW][C][14,16][/C][C]15[/C][C]7[/C][C]0.1[/C][C]1[/C][C]0.05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154686&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154686&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
[0,2[160.0857140.0857140.042857
[2,4[3110.1571430.2428570.078571
[4,6[580.1142860.3571430.057143
[6,8[750.0714290.4285710.035714
[8,10[9130.1857140.6142860.092857
[10,12[11110.1571430.7714290.078571
[12,14[1390.1285710.90.064286
[14,16]1570.110.05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 5 ; 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')
}